id
stringlengths 29
32
| messages
listlengths 2
2
|
|---|---|
data_synthesis_sft_ticker_56_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $SNAP with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$SNAP - Loop turns bullish on Snap ad growth \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_56_1 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $SNAP with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$SNAP (+1.9% pre) Loop Capital Upgrades Snap Inc (SNAP) to Buy, $20 PT, $20 PT\\n\\n\", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_57_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $STXS with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$STXS: Lake Street starts at Buy\", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_58_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $TENB with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$TENB - Cowen sees upside in TENB's Indegy purchase \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_59_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $UBER with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$UBER $LYFT - Uber, Lyft can raise prices to profit - Barclays \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_59_1 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $UBER with bearish (0) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$UBER - Uber CEO comments on London license loss \", \"sentiment\": 0}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_59_2 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $UBER with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"Highlight: \\\"Uber's vowed to appeal this decision,\\\" @tom_belger says after $UBER loses its London license over safet\\u2026 \", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_59_3 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $UBER with bearish (0) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"Here's the level to watch in Texaco as stock falls on London ban $UBER (via @TradingNation) \", \"sentiment\": 0}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_59_4 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $UBER with bearish (0) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$UBER (-4.2% pre) Uber Loses London License Over Concerns for Rider Safety - BBG\\n\\n\", \"sentiment\": 0}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_60_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $WABC with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$WABC: Maxim Group ups to Buy\", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_61_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $WRI with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$WRI: Compass Point ups to Buy\", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_62_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $ZS with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$ZS - New Zscaler bull sees 'sustainable' growth; shares +4% \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_63_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $ATVI with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"Activision, Take-Two charts look 'constructive' as Wells Fargo gets bullish on video game plays: Trader $ATVI $TTWO\\u2026 \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_64_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $LYFT with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"An analyst at Loop Capital upgrades $LYFT to buy from hold, citing higher revenue growth potential. \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_64_1 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $LYFT with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$LYFT - Lyft Has 99 Problems, But This Ain't One. #markets #stockmarket #stocks\", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_64_2 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $LYFT with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$LYFT - Lyft Q4 2019 Earnings Preview \", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_64_3 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $LYFT with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"Lyft breaks out ahead of earnings as ride sharing sentiment improves (LYFT) \\n $LYFT\", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_65_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $TSLA with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"Jefferies analysts lifted Tesla $TSLA shares to buy while paring the price target 19%. \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_65_1 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $TSLA with bearish (0) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"The reveal of the Tesla $TSLA #Cybertruck didn't go quite as expected... but moving on, there's a few specs you sho\\u2026 \", \"sentiment\": 0}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_65_2 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $TSLA with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"Here's what @ElonMusk's '200K' tweet is likely hinting at when it comes to the Tesla $TSLA Cybertruck \", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_65_3 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $TSLA with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"Not a whisper, but a smash? Here's what the road to $500 a share looks for @ElonMusk's @Tesla $TSLA \", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_65_4 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $TSLA with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$TSLA - Tesla: The Top Is Here.\\u00a0\\u00a0#stockmarket #finance #economy\", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_65_5 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $TSLA with bearish (0) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$TSLA - Tesla's New Pickup Is Ugly, Sell; Also Week-End Rally Pattern Holding But Weakly. Get more updates here:\\u2026 \", \"sentiment\": 0}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_65_6 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $TSLA with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$TSLA - Why Tesla Remains A Strong Buy. #markets #stocks #business\", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_65_7 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $TSLA with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"Here's how Tesla stock swings 18% higher, trader says $TSLA (via @TradingNation) \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_65_8 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $TSLA with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"Highlight: @ArgusResearch Senior Analyst Bill Selesky on $TSLA: \\\"I really have no idea what's causing it to pop tod\\u2026\\u00a0\", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_65_9 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $TSLA with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$TSLA\", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_65_10 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $TSLA with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$TSLA - Tesla sliced up three different ways \", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_65_11 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $TSLA with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"I'm not an FA guy, but just heard a preview of Cathie Wood discussing $TSLA, which was interesting. \\n\\nLooking forwa... \", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_65_12 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $TSLA with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"Just in: $TSLA lol \\n\\n\", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_65_13 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $TSLA with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$TSLA - Tesla jumps to four-week high \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_65_14 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $TSLA with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$TSLA $DIS $AMZN All gapping up nice for my calls.\", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_65_15 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $TSLA with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$TSLA (+3.7% pre) Elon Musk Says Cybertruck Orders Have Climbed to 200,000 - BBG \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_65_16 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $TSLA with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$TSLA (+4.6% pre) Longer range China-made Model 3\\n\\n\", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_65_17 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $TSLA with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"Tesla stock rises on Shanghai factory optimism\\u00c3\\u00a2\\u00e2\\u201a\\u00ac\\u00e2\\u20ac\\u009dwhat to watch now $TSLA (via @TradingNation) \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_66_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $ARWR with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"Upgrades 11/25: $ARWR $CACI $CF $DECK $DKS $ENR $EQM $ETRN $FE $HAS $HLX $JD $KIM $LYFT $NTR $NVDA $ORAN $PROS $SNAP $WEN $WING $WRI $ZS\", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_66_1 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $ARWR with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"See the latest #broker #ratings changes $ARWR $CACI $DECK $DKS $ENR $HAS $JD $LYFT $NVDA\\u2026 \", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_66_2 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $ARWR with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$ARWR - Arrowhead Pharma up 5% after Medicines Co. sale \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_67_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $AMT with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"Upgrades 4/7: $AMT $BHP $BK $CHH $ENI $EQNR $ETR $EXR $FCX $HOLX $HSIC $LOW $LSI $MAR $MAS $MGP $MHK $MXL $NGG $NWE\\u2026 \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_67_1 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $AMT with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$AMT - American Tower +2.1% after Wells upgrade to Overweight \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_68_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $MAR with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"Wells Fargo analyst Dori Kesten lifted her rating on Marriott $MAR to overweight, noting that the hotel chain's sha\\u2026 \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_69_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $LB with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$LB - MKM Partners puts a number on Victoria's Secret \", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_69_1 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $LB with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$LB - L Brands pushed higher on report of strategic review \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_70_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $WING with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$WING - Baird returns to Wingstop bull camp \", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_71_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $PTON with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"Citron Research, owned by the prominent short seller Andrew Left, placed a $5 price target on $PTON \", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_72_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $AMAL with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"Upgrades 2/4: $AMAL $CM $CMCSA $ELF $GDOT $LFUS $MLI $RRR $TD $TXRH $VLY $WW Downgrades 2/4: $ABG $AWK $CHKP $DEO\\u2026\\u00a0\", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_73_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $ECONX with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$ECONX: Federal Reserve will establish facility to facilitate lending to small businesses via the Small Business... \", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_73_1 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $ECONX with bearish (0) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$ECONX: Nonfarm Payroll Revisions- October revised to 135K from 189K; September revised to 193K from 180K \", \"sentiment\": 0}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_73_2 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $ECONX with bearish (0) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$ECONX: November Nonfarm Private Payrolls 125K vs 153K consensus \", \"sentiment\": 0}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_73_3 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $ECONX with bearish (0) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$ECONX: November Unemployment Rate 4.9% vs 4.1% consensus \", \"sentiment\": 0}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_73_4 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $ECONX with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$ECONX: January University of Michigan Consumer Sentiment- Revision 99.8 vs 99.1 consensus;... \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_73_5 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $ECONX with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$ECONX: Nonfarm Payroll Revisions- October revised to 156K from 128K; September revised to 193K from 180K \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_73_6 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $ECONX with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$ECONX: November Average Hourly Earnings M/M +0.2% vs +0.3% consensus, prior +0.36% from +0\\u2026 \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_73_7 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $ECONX with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$ECONX: November Nonfarm Private Payrolls 254K vs 175K consensus \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_73_8 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $ECONX with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$ECONX: November Unemployment Rate 3.5% vs 3.6% consensus \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_73_9 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $ECONX with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$ECONX: January Chicago PMI 42.9 vs 48.7 consensus; December 48.9 \", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_73_10 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $ECONX with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$ECONX: November Average Workweek 34.4 vs 34.4 consensus \", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_74_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $XLF with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$XLF $FAS $FAZ - Fed revives TALF to bolster ABS market \", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_74_1 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $XLF with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$XLF $FAS $FAZ - The Fed to establish term financing for small business loans \", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_74_2 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $XLF with bearish (0) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$XLF $FAS $FAZ - Banks may face legal actions over margin calls - FT \", \"sentiment\": 0}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_75_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $RINF with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$RINF $IVOL - Fed's Daly discusses shifting focus to higher inflation \", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_76_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $AAL with bearish (0) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$AAL - American halts flights to Mainland China \", \"sentiment\": 0}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_76_1 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $AAL with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$AAL $DAL $UAL - United +18% leads big bounce in airlines \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_77_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $AMGN with bearish (0) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$AMGN - Partial response in Amgen brain cancer study \", \"sentiment\": 0}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_78_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $AXAS with bearish (0) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$AXAS - Abraxas Petroleum: Poor Liquidity Points To A Chapter 11 May Be On The Horizon. \", \"sentiment\": 0}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_78_1 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $AXAS with bearish (0) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$AXAS - Abraxas Petroleum: Poor Liquidity Points To A Chapter 11 May Be On The Horizon. \", \"sentiment\": 0}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_79_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $BA with bearish (0) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$BA - 737 MAX crisis claims job of Boeing's top communications official \", \"sentiment\": 0}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_79_1 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $BA with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$BA $EADSY $EADSF - Boeing reports 30 orders of 737 MAX in November \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_79_2 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $BA with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$BA - Boeing debuts first 737 MAX 10, largest version of embattled plane \", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_79_3 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $BA with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$BA CORRECTION: 737 MAX 10 makes debut at Renton, Washington Factory - Bloomberg\", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_80_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $CAT with bearish (0) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$CAT - Caterpillar sees more weak demand ahead as firms defer capital decisions \", \"sentiment\": 0}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_81_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $CBAY with bearish (0) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$CBAY: CymaBay Therapeutics halts clinical development of Seladelpar based on initial histological findings observe\\u2026 \", \"sentiment\": 0}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_81_1 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $CBAY with bearish (0) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$CBAY (-76.9% pre) CymaBay Therapeutics Halts Clinical Development of Seladelpar - GN \", \"sentiment\": 0}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_82_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $CORV with bearish (0) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$CORV - FDA advisory committee thumbs down on Correvio's Brinavess for AF \", \"sentiment\": 0}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_83_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $CTSO with bearish (0) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$CTSO: CytoSorbents says temporarily pausing enrollment of REFRESH 2-AKI study at the recommendation of its Data... \", \"sentiment\": 0}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_83_1 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $CTSO with bearish (0) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$CTSO (-18.9% pre) Cytosorbents (CTSO) temporarily pauses enrollment of its REFRESH 2-AKI study at the recommendati\\u2026 \", \"sentiment\": 0}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_84_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $LJPC with bearish (0) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$LJPC - La Jolla Pharma to reassess development of LJPC-401 \", \"sentiment\": 0}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_84_1 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $LJPC with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$LJPC: La Jolla Pharm says will reassess continued development of LJPC-401 (synthetic human hepcidin) based on... \", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_84_2 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $LJPC with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$LJPC: La Jolla Pharm President/CEO George Tidmarsh, M.D., Ph.D., leaves the company to pursue other interests \", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_85_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $UN with bearish (0) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$UN $UL - Unilever U.S. recalls some chicken products \", \"sentiment\": 0}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_85_1 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $UN with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$UN $UL - Unilever sees Lipton as still attractive \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_86_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $UAL with bearish (0) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"Breaking - United $UAL suspends flights to China as coronavirus outbreak continues\", \"sentiment\": 0}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_87_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $PBR with bearish (0) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$PBR - Petrobras expects lower April production; makes oil discovery \", \"sentiment\": 0}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_87_1 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $PBR with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$PBR: Petrobras Brasileiro on new oil discovery in Campos Basin \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_88_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $PSX with bearish (0) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$PSX $VLO $HFC - Phillips 66 cuts rates at Bayway refinery on weak cracks - S&P Global \", \"sentiment\": 0}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_88_1 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $PSX with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$PSX pulling back to 50ma area and holding so far \", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_89_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $XOM with bearish (0) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$XOM - Exxon's Baton Rouge refinery cuts production on low demand - Reuters \", \"sentiment\": 0}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_89_1 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $XOM with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$XOM $HES $CEO - Guyana aims for agreement with Exxon on pricing before first oil export \", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_89_2 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $XOM with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$XOM - Exxon Beaumont cuts run rates until product demand improves \", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_89_3 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $XOM with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$XOM - Exxon Mobil: Don't Chase The Wrong Yield. Read more and get updates on any stock! \", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_89_4 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $XOM with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"Exxon Mobil jumps after maintaining dividend and on hopes for production cut \\ndeal (XOM) $XOM\", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_90_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $AAPL with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$AAPL - Apple forecasts 100M+ 5G iPhone sales - report \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_90_1 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $AAPL with neutral (2) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$AAPL - india confirms iPhone exports \", \"sentiment\": 2}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_90_2 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $AAPL with bearish (0) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$AAPL - Apple Could Still Be In For More Pain. #finance #business #stockmarket\", \"sentiment\": 0}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_90_3 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $AAPL with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$AAPL - The Best Is Yet To Come As Apple Moves Into Media Production. Read more and sign up for updates:\\u2026 \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_91_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $AQST with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$AQST FDA approves Aquestive's ALS treatment via @YahooFinance\", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_91_1 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $AQST with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$AQST: Aquestive Therapeutics confirms FDA approval for Exservan Oral Film for the treatment of amyotrophic lateral\\u2026 \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_91_2 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $AQST with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$AQST (+13.1% pre) Aquestive Therapeutics (AQST) Confirms FDA Approval for Exservan Oral Film - SI \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_92_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $CNK with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$CNK - Cinemark Holdings (CNK) Presents At Southwest Ideas Investor Conference - Slideshow. Get more updates here:\\u2026 \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
data_synthesis_sft_ticker_93_0 | [
{
"content": "Generate one realistic financial news headline about stock tickers following real-world financial reporting for sentiment analysis.\n\nGuidelines for Generating Headlines:\n\n1. Format & Style:\n\t•\tHeadlines must be concise and mimic real financial news.\n\t•\tUse sentence case formatting (capitalize only the first word and proper nouns).\n\t•\tSome headlines should start with a stock ticker (e.g., $AAPL -), while others should begin with the company name or a broader market trend.\n\n2. Ticker Inclusion:\n\t•\tAt least one headline should include a stock ticker (e.g., $TSLA - or $NVDA -).\n\t•\tSome headlines should refer to companies by name instead of tickers (e.g., “Alphabet and Meta see price targets cut at Barclays”).\n\n3. Common Financial Themes:\n\nEnsure headlines reflect realistic financial news topics, including:\n\t•\tStock downgrades/upgrades\n\t•\tPrice target adjustments\n\t•\tMarket trends/economic outlook\n\t•\tCompany performance concerns\n\t•\tCompany news\n\t•\tCompany announcements\n\t•\tCompany events\n\n4. Source Attribution:\n\t•\tWhen relevant, mention an investment firm, analyst, or research group (e.g., Morgan Stanley, Barclays, Oppenheimer).\n\t•\tDo not fabricate research firms—use only well-known institutions.\n\n5. Sentiment Labeling:\n\nEach headline must be assigned a sentiment label based on its tone:\n\t•\tBearish (0): Indicates negative sentiment about a stock or market trend.\n\t•\tBullish (1): Indicates positive sentiment about a stock or market trend.\n\t•\tNeutral (2): Indicates neutral or informational tone.\n\nFormat:\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {\"properties\": {\"foo\": {\"title\": \"Foo\", \"description\": \"a list of strings\", \"type\": \"array\", \"items\": {\"type\": \"string\"}}}, \"required\": [\"foo\"]}\nthe object {\"foo\": [\"bar\", \"baz\"]} is a well-formatted instance of the schema. The object {\"properties\": {\"foo\": [\"bar\", \"baz\"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{\"properties\": {\"headline\": {\"description\": \"financial news headline\", \"title\": \"Headline\", \"type\": \"string\"}, \"sentiment\": {\"description\": \"sentiment (0=bearish, 1=bullish, 2=neutral)\", \"title\": \"Sentiment\", \"type\": \"string\"}}, \"required\": [\"headline\", \"sentiment\"]}\n```\n\nNow, generate one financial news headline about stock tickers: $DIS with bullish (1) label following these guidelines. \nYour JSON output:",
"role": "user"
},
{
"content": "{\"headline\": \"$DIS $SNE - Disney now sees $110M-$120M for 'Frozen II' \", \"sentiment\": 1}",
"role": "assistant"
}
]
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.