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README.md
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---
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license: mit
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task_categories:
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- tabular-classification
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- time-series-forecasting
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language:
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- tr
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tags:
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- finance
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- bist
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- turkish-stocks
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- trading
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- time-series
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size_categories:
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- 10K<n<100K
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---
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# bist_historical
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BIST 30 historical stock data with technical indicators
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## Dataset Details
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- **Format:** parquet
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- **Size:** ~50MB compressed
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- **Language:** Turkish (labels), Numeric (data)
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- **License:** MIT
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- **Created:** 2025-08-27
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## Dataset Structure
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### BIST Historical Data
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- **Symbols:** BIST 30 index stocks
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- **Timeframes:** 1m, 5m, 15m, 60m, 1d
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- **Features:** OHLCV + 131 technical indicators
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- **Date Range:** 2019-2024
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### Technical Indicators
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- **Trend:** SMA, EMA, MACD, Bollinger Bands
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- **Momentum:** RSI, Stochastic, Williams %R
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- **Volume:** OBV, A/D Line, Volume Profile
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- **Volatility:** ATR, VIX-like indicators
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### News Sentiment
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- **Sources:** Major Turkish financial news sites
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- **Processing:** VADER + Turkish FinBERT
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- **Frequency:** Daily sentiment scores
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- **Credibility:** Source reliability weighting
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## Usage
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```python
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import pandas as pd
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# Load BIST historical data
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df = pd.read_parquet('bist_historical.parquet')
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# Load sentiment data
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sentiment_df = pd.read_json('turkish_financial_news.json')
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```
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## Citation
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```bibtex
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@misc{bist_dataset_2024,
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title={BIST Turkish Stock Market Dataset with Technical Indicators},
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author={RSMCTN},
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year={2024},
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url={https://github.com/RSMCTN/BIST_AI001}
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}
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```
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