id
string | question
string | background
string | source
string | source_intro
string | answer
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|---|---|---|---|---|---|
meteofrance_TEMPERATURE_celsius.07149.D
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What is the probability that the daily average temperature at the French weather station at Orly will be higher on {resolution_date} than on {forecast_due_date}?
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The history of Average temperature by day and by station for France - Degree Celsius - ORLY - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07149.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.61980.D
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What is the probability that the daily average temperature at the French weather station at Roland Garros Airport will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - GILLOT-AEROPORT - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.61980.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 1 |
meteofrance_TEMPERATURE_celsius.81405.D
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What is the probability that the daily average temperature at the French weather station at Cayenne – Félix Éboué Airport will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - CAYENNE-MATOURY - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.81405.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 1 |
meteofrance_TEMPERATURE_celsius.07299.D
|
What is the probability that the daily average temperature at the French weather station at EuroAirport Basel Mulhouse Freiburg will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - BALE-MULHOUSE - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07299.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.07280.D
|
What is the probability that the daily average temperature at the French weather station at Dijon-Bourgogne Airport will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - DIJON-LONGVIC - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07280.D.
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dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.07481.D
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What is the probability that the daily average temperature at the French weather station at Lyon–Saint Exupéry Airport will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - LYON-ST EXUPERY - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07481.D.
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dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.61970.D
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What is the probability that the daily average temperature at the French weather station at Juan de Nova Island will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - JUAN DE NOVA - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.61970.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.07577.D
|
What is the probability that the daily average temperature at the French weather station at Montélimar will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - MONTELIMAR - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07577.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 1 |
meteofrance_TEMPERATURE_celsius.07037.D
|
What is the probability that the daily average temperature at the French weather station at Rouen Airport will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - ROUEN-BOOS - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07037.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.07181.D
|
What is the probability that the daily average temperature at the French weather station at Nancy – Ochey Air Base will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - NANCY-OCHEY - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07181.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.61976.D
|
What is the probability that the daily average temperature at the French weather station at Tromelin Island will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - TROMELIN - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.61976.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 1 |
meteofrance_TEMPERATURE_celsius.07761.D
|
What is the probability that the daily average temperature at the French weather station at Ajaccio will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - AJACCIO - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07761.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 1 |
meteofrance_TEMPERATURE_celsius.07139.D
|
What is the probability that the daily average temperature at the French weather station at Alençon will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - ALENCON - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07139.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.81401.D
|
What is the probability that the daily average temperature at the French weather station at Saint-Laurent will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - SAINT LAURENT - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.81401.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 1 |
meteofrance_TEMPERATURE_celsius.07027.D
|
What is the probability that the daily average temperature at the French weather station at Caen – Carpiquet Airport will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - CAEN-CARPIQUET - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07027.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 1 |
meteofrance_TEMPERATURE_celsius.07110.D
|
What is the probability that the daily average temperature at the French weather station at Brest Bretagne Airport will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - BREST-GUIPAVAS - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07110.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 1 |
meteofrance_TEMPERATURE_celsius.07222.D
|
What is the probability that the daily average temperature at the French weather station at Nantes Atlantique Airport will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - NANTES-BOUGUENAIS - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07222.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.07168.D
|
What is the probability that the daily average temperature at the French weather station at Troyes-Barberey Airport will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - TROYES-BARBEREY - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07168.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.07460.D
|
What is the probability that the daily average temperature at the French weather station at Clermont-Ferrand Auvergne Airport will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - CLERMONT-FD - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07460.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.07650.D
|
What is the probability that the daily average temperature at the French weather station at Marignane will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - MARIGNANE - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07650.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.07117.D
|
What is the probability that the daily average temperature at the French weather station at Ploumanac'h will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - PLOUMANAC'H - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07117.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 1 |
meteofrance_TEMPERATURE_celsius.07015.D
|
What is the probability that the daily average temperature at the French weather station at Lille Airport will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - LILLE-LESQUIN - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07015.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.07434.D
|
What is the probability that the daily average temperature at the French weather station at Limoges – Bellegarde Airport will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - LIMOGES-BELLEGARDE - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07434.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 1 |
meteofrance_TEMPERATURE_celsius.07005.D
|
What is the probability that the daily average temperature at the French weather station at Abbeville will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - ABBEVILLE - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07005.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 1 |
meteofrance_TEMPERATURE_celsius.07607.D
|
What is the probability that the daily average temperature at the French weather station at Mont-de-Marsan will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - MONT-DE-MARSAN - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07607.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.07335.D
|
What is the probability that the daily average temperature at the French weather station at Poitiers–Biard Airport will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - POITIERS-BIARD - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07335.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.07690.D
|
What is the probability that the daily average temperature at the French weather station at Nice will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - NICE - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07690.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.07471.D
|
What is the probability that the daily average temperature at the French weather station at Le Puy – Loudes Airport will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - LE PUY-LOUDES - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07471.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.61972.D
|
What is the probability that the daily average temperature at the French weather station at Europa Island will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - EUROPA - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.61972.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.07621.D
|
What is the probability that the daily average temperature at the French weather station at Tarbes–Lourdes–Pyrénées Airport will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - TARBES-OSSUN - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07621.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 1 |
meteofrance_TEMPERATURE_celsius.07020.D
|
What is the probability that the daily average temperature at the French weather station at Pointe De La Hague will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - PTE DE LA HAGUE - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07020.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 1 |
meteofrance_TEMPERATURE_celsius.07627.D
|
What is the probability that the daily average temperature at the French weather station at Saint-Girons will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - ST GIRONS - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07627.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 1 |
meteofrance_TEMPERATURE_celsius.07535.D
|
What is the probability that the daily average temperature at the French weather station at Gourdon will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - GOURDON - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07535.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.07130.D
|
What is the probability that the daily average temperature at the French weather station at Rennes–Saint-Jacques Airport will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - RENNES-ST JACQUES - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07130.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 1 |
meteofrance_TEMPERATURE_celsius.61998.D
|
What is the probability that the daily average temperature at the French weather station at Grande Terre will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - KERGUELEN - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.61998.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.07240.D
|
What is the probability that the daily average temperature at the French weather station at Tours will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - TOURS - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07240.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.07510.D
|
What is the probability that the daily average temperature at the French weather station at Bordeaux–Mérignac Airport will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - BORDEAUX-MERIGNAC - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07510.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.78890.D
|
What is the probability that the daily average temperature at the French weather station at La Désirade will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - LA DESIRADE METEO - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.78890.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 1 |
meteofrance_TEMPERATURE_celsius.07190.D
|
What is the probability that the daily average temperature at the French weather station at Strasbourg Airport will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - STRASBOURG-ENTZHEIM - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07190.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.07255.D
|
What is the probability that the daily average temperature at the French weather station at Bourges will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - BOURGES - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07255.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.71805.D
|
What is the probability that the daily average temperature at the French weather station at Saint-Pierre will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - ST-PIERRE - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.71805.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 1 |
meteofrance_TEMPERATURE_celsius.78925.D
|
What is the probability that the daily average temperature at the French weather station at Martinique Aimé Césaire International Airport will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - LAMENTIN-AERO - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.78925.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.07630.D
|
What is the probability that the daily average temperature at the French weather station at Toulouse–Blagnac Airport will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - TOULOUSE-BLAGNAC - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07630.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.61997.D
|
What is the probability that the daily average temperature at the French weather station at Île de la Possession will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - CROZET - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.61997.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 1 |
meteofrance_TEMPERATURE_celsius.07591.D
|
What is the probability that the daily average temperature at the French weather station at Embrun will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - EMBRUN - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07591.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 1 |
meteofrance_TEMPERATURE_celsius.07558.D
|
What is the probability that the daily average temperature at the French weather station at Millau will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - MILLAU - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07558.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.07747.D
|
What is the probability that the daily average temperature at the French weather station at Perpignan will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - PERPIGNAN - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07747.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 1 |
meteofrance_TEMPERATURE_celsius.07072.D
|
What is the probability that the daily average temperature at the French weather station at Reims – Prunay Aerodrome will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - REIMS-PRUNAY - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.07072.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
meteofrance_TEMPERATURE_celsius.78897.D
|
What is the probability that the daily average temperature at the French weather station at Pointe-à-Pitre International Airport will be higher on {resolution_date} than on {forecast_due_date}?
|
The history of Average temperature by day and by station for France - Degree Celsius - LE RAIZET AERO - Daily from Météo-France is available at https://db.nomics.world/meteofrance_TEMPERATURE_celsius.78897.D.
|
dbnomics
|
DBnomics collects data on topics such as population and living conditions, environment and energy, agriculture, finance, trade and others from publicly available resources, for example national and international statistical institutions, researchers and private companies. You're going to predict how questions based on this data will resolve.
| 0 |
DEXUSEU
|
Will the spot exchange rate of US dollars to euros have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: For questions on the data, please contact the data source: https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h10/%
For questions on FRED functionality, please contact: https://fred.stlouisfed.org/contactus/. The notes from the series: Noon buying rates in New York City for cable transfers payable in foreign currencies.. Additional background of the series: 1. the units of the series: U.S. Dollars to One Euro. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 0 |
WM1NS
|
Will USD money supply as measured by M1 have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: For questions on the data, please contact the data source: https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h6/%
For questions on FRED functionality, please contact: https://fred.stlouisfed.org/contactus/. The notes from the series: announcements (https://www.federalreserve.gov/feeds/h6.html) and Technical Q&As (https://www.federalreserve.gov/releases/h6/h6_technical_qa.htm) posted on December 17, 2020.
For questions on the data, please contact the data source (https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h6/%). For questions on FRED functionality, please contact us here (https://fred.stlouisfed.org/contactus/).</p>. Additional background of the series: 1. the units of the series: Billions of Dollars. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Weekly, Ending Monday
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 0 |
IHLIDXUSTPSOFTDEVE
|
Will the number of US software development job postings on Indeed have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: Indeed calculates the percentage change in seasonally-adjusted job postings since February 1, 2020, using a 7-day trailing average. February 1, 2020, is the pre-pandemic baseline. Indeed seasonally adjusts each series based on historical patterns in 2017, 2018, and 2019. Each series, including the national trend, occupational sectors, and sub-national geographies, is seasonally adjusted separately. Indeed switched to this new methodology in January 2021 and now reports all historical data using this new methodology. Historical numbers have been revised and may differ significantly from originally reported values. The new methodology applies a detrended seasonal adjustment factor to the percentage change in job postings.
Indices are calculated for the U.S., Australia, Canada, Germany, Ireland, France, and the U.K. In addition for the U.S., indices are calculated for states, the largest metro areas by population.
For Frequently Asked Questions regarding Indeed Data, visit https://www.hiringlab.org/indeed-data-faq/.
Copyrighted: Pre-approval required. Contact Indeed to request permission to use the data at their contact information at https://github.com/hiring-lab/data#readme.
End Users are excluded of any warranty and liability on the part of Indeed for the accuracy of the Indeed Data. End Users will refrain from any external distribution of Indeed Data except in oral or written presentations, provided that such portions or derivations are incidental to and supportive of such presentations and, provided further that the End Users shall not distribute or disseminate in such presentations any amount of Indeed Data which could cause such presentations to be susceptible to use substantially as a source of or substitute for Indeed Data. End Users agree to credit Indeed as the source and owner of the Indeed Data when making it available to third parties in any permissible manner as well as in internal use. End Users agree to not sell or otherwise provide the Indeed Data obtained from Licensee to third parties.. The notes from the series: Indeed calculates the index change in seasonally-adjusted job postings since February 1, 2020, the pre-pandemic baseline. Indeed seasonally adjusts each series based on historical patterns in 2017, 2018, and 2019. Each series, including the national trend, occupational sectors, and sub-national geographies, is seasonally adjusted separately. Indeed switched to this new methodology in December 2022 and now reports all historical data using this new methodology. Historical numbers have been revised and may differ significantly from originally reported values. The new methodology applies a detrended seasonal adjustment factor to the index change in job postings. For more information, see Frequently Asked Questions (https://www.hiringlab.org/indeed-data-faq/) regarding Indeed Data.
Copyrighted: Pre-approval required. Contact Indeed to request permission to use the data at their contact information provided here (https://github.com/hiring-lab/data#readme).
End Users are excluded of any warranty and liability on the part of Indeed for the accuracy of the Indeed Data. End Users will refrain from any external distribution of Indeed Data except in oral or written presentations, provided that such portions or derivations are incidental to and supportive of such presentations and, provided further that the End Users shall not distribute or disseminate in such presentations any amount of Indeed Data which could cause such presentations to be susceptible to use substantially as a source of, or substitute for Indeed Data. End Users agree to credit Indeed as the source and owner of the Indeed Data when making it available to third parties in any permissible manner as well as in internal use. End Users agree to not sell or otherwise provide the Indeed Data obtained from Licensee to third parties.. Additional background of the series: 1. the units of the series: Index Feb, 1 2020=100. 2. the seasonal adjustments of the series: Seasonally Adjusted 3. the update frequency: Daily, 7-Day
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
BAA10Y
|
Will Moody's Seasoned Baa Corporate Bond Yield compared to the 10-year Treasury yield have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: N/A. The notes from the series: Series is calculated as the spread between Moody's Seasoned Baa Corporate Bond© (https://fred.stlouisfed.org/series/DBAA) and 10-Year Treasury Constant Maturity (BC_10YEAR).
©2017, Moody's Corporation, Moody's Investors Service, Inc., Moody's Analytics, Inc. and/or their licensors and affiliates (collectively, "Moody's"). All rights reserved. Moody's ratings and other information ("Moody's Information") are proprietary to Moody's and/or its licensors and are protected by copyright and other intellectual property laws. Moody's Information is licensed to Client by Moody's. MOODY'S INFORMATION MAY NOT BE COPIED OR OTHERWISE REPRODUCED, REPACKAGED, FURTHER TRANSMITTED, TRANSFERRED, DISSEMINATED, REDISTRIBUTED OR RESOLD, OR STORED FOR SUBSEQUENT USE FOR ANY SUCH PURPOSE, IN WHOLE OR IN PART, IN ANY FORM OR MANNER OR BY ANY MEANS WHATSOEVER, BY ANY PERSON WITHOUT MOODY'S PRIOR WRITTEN CONSENT.
Starting with the update on June 21, 2019, the Treasury bond data used in calculating interest rate spreads is obtained directly from the U.S. Treasury Department (https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield).. Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 0 |
AMERIBOR
|
Will AMERIBOR, an interest rate based on overnight loans made between banks on the American Financial Exchange, have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: AMERIBOR® (American Interbank Offered Rate) is a transparent benchmark interest rate based on overnight unsecured loans transacted on the American Financial Exchange (AFX). AMERIBOR® reflects the actual borrowing costs of thousands of small, medium, and regional banks across America. AMERIBOR® is also useful for larger banks and financial institutions that do business with these banks, as well as small and middle market companies.. The notes from the series: Data prior to June 17, 2019 is only available from Monday to Friday (excluding trading holidays).
AMERIBOR® (American Interbank Offered Rate) is a benchmark interest rate based on overnight unsecured loans transacted on the American Financial Exchange (AFX). AMERIBOR® is calculated as the transaction volume weighted average interest rate of the daily transactions in the AMERIBOR® overnight unsecured loan market on the AFX. More details about AMERIBOR® methodology can be found on the source's website (https://ameribor.net), under the Resources section.
AMERIBOR® is a registered trademark of the American Financial Exchange (AFX). © Copyright, American Financial Exchange (AFX). All Rights Reserved.. Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily, 7-Day
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
T10YFF
|
Will the yield spread between the 10-year US Treasury bond and the Effective Federal Funds Rate (interest rate) have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: N/A. The notes from the series: Series is calculated as the spread between 10-Year Treasury Constant Maturity (BC_10YEAR) and Effective Federal Funds Rate (https://fred.stlouisfed.org/series/EFFR).
Starting with the update on June 21, 2019, the Treasury bond data used in calculating interest rate spreads is obtained directly from the U.S. Treasury Department (https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield).. Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
WLRRAL
|
Will the weekly dollar amount associated with Federal Reserve reverse repurchase agreements have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: For questions on the data, please contact the data source: https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h41/%
For questions on FRED functionality, please contact: https://fred.stlouisfed.org/contactus/. The notes from the series: Reverse repurchase agreements are transactions in which securities are sold to a set of counterparties under an agreement to buy them back from the same party on a specified date at the same price plus interest. Reverse repurchase agreements may be conducted with foreign official and international accounts as a service to the holders of these accounts. All other reverse repurchase agreements, including transactions with primary dealers and a set of eligible money market funds, are open market operations intended to manage the supply of reserve balances; reverse repurchase agreements absorb reserve balances from the banking system for the length of the agreement. As with repurchase agreements, the naming convention used here reflects the transaction from the counterparties' perspective; the Federal Reserve receives cash in a reverse repurchase agreement and provides collateral to the counterparties.. Additional background of the series: 1. the units of the series: Millions of U.S. Dollars. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Weekly, As of Wednesday
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
DAAA
|
Will Moody's Seasoned Aaa Corporate Bond Yield have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: N/A. The notes from the series: These instruments are based on bonds with maturities 20 years and above.
© 2017, Moody’s Corporation, Moody’s Investors Service, Inc., Moody’s Analytics, Inc. and/or their licensors and affiliates (collectively, “Moody’s”). All rights reserved. Moody’s ratings and other information (“Moody’s Information”) are proprietary to Moody’s and/or its licensors and are protected by copyright and other intellectual property laws. Moody’s Information is licensed to Client by Moody’s. MOODY’S INFORMATION MAY NOT BE COPIED OR OTHERWISE REPRODUCED, REPACKAGED, FURTHER TRANSMITTED, TRANSFERRED, DISSEMINATED, REDISTRIBUTED OR RESOLD, OR STORED FOR SUBSEQUENT USE FOR ANY SUCH PURPOSE, IN WHOLE OR IN PART, IN ANY FORM OR MANNER OR BY ANY MEANS WHATSOEVER, BY ANY PERSON WITHOUT MOODY’S PRIOR WRITTEN CONSENT.. Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
NFCICREDIT
|
Will the Chicago Fed's National Financial Conditions Credit Subindex have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: N/A. The notes from the series: The Chicago Fed’s National Financial Conditions Index (NFCI) provides a comprehensive weekly update on U.S. financial conditions in money markets, debt and equity markets and the traditional and “shadow” banking systems. Source: http://www.chicagofed.org/webpages/publications/nfci/index.cfm.
"Positive values of the NFCI indicate financial conditions that are tighter than average, while negative values indicate financial conditions that are looser than average."
"The three subindexes of the NFCI (risk, credit and leverage) allow for a more detailed examination of the movements in the NFCI. Like the NFCI, each is constructed to have an average value of zero and a standard deviation of one over a sample period extending back to 1971. The risk subindex captures volatility and funding risk in the financial sector; the credit subindex is composed of measures of credit conditions; and the leverage subindex consists of debt and equity measures. Increasing risk, tighter credit conditions and declining leverage are consistent with tightening financial conditions. Thus, a positive value for an individual subindex indicates that the corresponding aspect of financial conditions is tighter than on average, while negative values indicate the opposite." Source: http://www.chicagofed.org/webpages/research/data/nfci/background.cfm.
For further information, please visit the Federal Reserve Bank of Chicago's NFCI website at http://www.chicagofed.org/webpages/publications/nfci/index.cfm.. Additional background of the series: 1. the units of the series: Index. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Weekly, Ending Friday
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
BAMLC0A1CAAA
|
Will the option-adjusted spread of securities with an investment grade rating of AAA in the ICE BofA US Corporate Index, which tracks the performance of corporate debt issued in the US domestic market, have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: N/A. The notes from the series: This data represents the Option-Adjusted Spread (OAS) of the ICE BofA AAA US Corporate Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating AAA.
The ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.
Certain indices and index data included in FRED are the property of ICE Data Indices, LLC (“ICE DATA”) and used under license. ICE® IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA® IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (“BOFA”) AND MAY NOT BE USED WITHOUT BOFA’S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN “AS IS” BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.
Copyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.
The end of day Index values, Index returns, and Index statistics (“Top Level Data”) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.
Neither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.
The Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.
You shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.
ICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.
You shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.
Access to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.
ICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.
The FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers.. Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily, Close
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 0 |
WRBWFRBL
|
Will the total dollar amount of reserve balances held with Federal Reverse Banks have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: For questions on the data, please contact the data source: https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h41/%
For questions on FRED functionality, please contact: https://fred.stlouisfed.org/contactus/. The notes from the series: Reserve balances with Federal Reserve Banks are the difference between "total factors supplying reserve funds" and "total factors, other than reserve balances, absorbing reserve funds." This item includes balances at the Federal Reserve of all depository institutions that are used to satisfy reserve requirements and balances held in excess of balance requirements. It excludes reserves held in the form of cash in bank vaults, and excludes service-related deposits.. Additional background of the series: 1. the units of the series: Millions of U.S. Dollars. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Weekly, As of Wednesday
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
DBAA
|
Will Moody's Seasoned Baa Corporate Bond Yield have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: N/A. The notes from the series: These instruments are based on bonds with maturities 20 years and above.
© 2017, Moody’s Corporation, Moody’s Investors Service, Inc., Moody’s Analytics, Inc. and/or their licensors and affiliates (collectively, “Moody’s”). All rights reserved. Moody’s ratings and other information (“Moody’s Information”) are proprietary to Moody’s and/or its licensors and are protected by copyright and other intellectual property laws. Moody’s Information is licensed to Client by Moody’s. MOODY’S INFORMATION MAY NOT BE COPIED OR OTHERWISE REPRODUCED, REPACKAGED, FURTHER TRANSMITTED, TRANSFERRED, DISSEMINATED, REDISTRIBUTED OR RESOLD, OR STORED FOR SUBSEQUENT USE FOR ANY SUCH PURPOSE, IN WHOLE OR IN PART, IN ANY FORM OR MANNER OR BY ANY MEANS WHATSOEVER, BY ANY PERSON WITHOUT MOODY’S PRIOR WRITTEN CONSENT.. Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
ECBDFR
|
Will the European Central Bank's deposit facility rate for the euro area have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: N/A. The notes from the series: The rate on the deposit facility, which banks may use to make overnight deposits with the Eurosystem. Data refer to the changing composition of the Euro Area, taking into account the composition of the euro area at the time to which the statistics relate. For more details, see the ECB Statistics Bulletin's General Notes (https://sdw.ecb.europa.eu/reports.do?node=10000023).
Copyright, 2021, European Central Bank (ECB). Reprinted with permission.. Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily, 7-Day
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 0 |
BAMLHE00EHYIOAS
|
Will the option-adjusted spread of the ICE BofA Euro High Yield Index, which tracks the performance of below investment grade corporate debt issued in the euro domestic or eurobond markets, have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: N/A. The notes from the series: This data represents the Option-Adjusted Spread (OAS) of the ICE BofA Euro High Yield Index tracks the performance of Euro denominated below investment grade corporate debt publicly issued in the euro domestic or eurobond markets. Qualifying securities must have a below investment grade rating (based on an average of Moody's, S&P, and Fitch). Qualifying securities must have at least one year remaining term to maturity, a fixed coupon schedule, and a minimum amount outstanding of Euro 100 million. Original issue zero coupon bonds, "global" securities (debt issued simultaneously in the eurobond and euro domestic markets), 144a securities and pay-in-kind securities, including toggle notes, qualify for inclusion in the Index. Callable perpetual securities qualify provided they are at least one year from the first call date. Fixed-to-floating rate securities also qualify provided they are callable within the fixed rate period and are at least one year from the last call prior to the date the bond transitions from a fixed to a floating rate security. Defaulted, warrant-bearing and euro legacy currency securities are excluded from the Index.
ICE BofA Explains the Construction Methodology of this series as:
Index constituents are capitalization-weighted based on their current amount outstanding. With the exception of U.S. mortgage pass-throughs and U.S. structured products (ABS, CMBS and CMOs), accrued interest is calculated assuming next-day settlement. Accrued interest for U.S. mortgage pass-through and U.S. structured products is calculated assuming same-day settlement. Cash flows from bond payments that are received during the month are retained in the index until
the end of the month and then are removed as part of the rebalancing. Cash does not earn any reinvestment income while it is held in the Index. The Index is rebalanced on the last calendar day of the month, based on information available up to and including the third business day before the last business day of the month. Issues that meet the qualifying criteria are included in the Index for the following month. Issues that no longer meet the criteria during the course of the month remain in the Index until the next month-end rebalancing at which point they are removed from the Index.
The ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.
Certain indices and index data included in FRED are the property of ICE Data Indices, LLC (“ICE DATA”) and used under license. ICE® IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA® IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (“BOFA”) AND MAY NOT BE USED WITHOUT BOFA’S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN “AS IS” BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.
Copyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.
The end of day Index values, Index returns, and Index statistics (“Top Level Data”) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.
Neither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.
The Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.
You shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.
ICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.
You shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.
Access to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.
ICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.
The FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers.. Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily, Close
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 0 |
ICSA
|
Will the weekly number of initial unemployment claims have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: N/A. The notes from the series: An initial claim is a claim filed by an unemployed individual after a separation from an employer. The claim requests a determination of basic eligibility for the Unemployment Insurance program.. Additional background of the series: 1. the units of the series: Number. 2. the seasonal adjustments of the series: Seasonally Adjusted 3. the update frequency: Weekly, Ending Saturday
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 0 |
WGS10YR
|
Will the market yield on US treasury securities at 10-year constant maturity, quoted on an investment basis, have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: For questions on the data, please contact the data source: https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h15/%
For questions on FRED functionality, please contact: https://fred.stlouisfed.org/contactus/. The notes from the series: Averages of business days. For further information regarding treasury constant maturity data, please refer to the H.15 Statistical Release notes (https://www.federalreserve.gov/releases/h15/default.htm) and the Treasury Yield Curve Methodology (https://home.treasury.gov/policy-issues/financing-the-government/interest-rate-statistics/treasury-yield-curve-methodology).. Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Weekly, Ending Friday
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
DGS7
|
Will the market yield on US treasury securities at 7-year constant maturity, quoted on an investment basis, have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: For questions on the data, please contact the data source: https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h15/%
For questions on FRED functionality, please contact: https://fred.stlouisfed.org/contactus/. The notes from the series: For further information regarding treasury constant maturity data, please refer to the H.15 Statistical Release notes (https://www.federalreserve.gov/releases/h15/default.htm) and the Treasury Yield Curve Methodology (https://home.treasury.gov/policy-issues/financing-the-government/interest-rate-statistics/treasury-yield-curve-methodology).. Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
WLCFLL
|
Will the weekly dollar amount of loans made by the Federal Reserve under its liquidity and credit facilities have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: For questions on the data, please contact the data source: https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h41/%
For questions on FRED functionality, please contact: https://fred.stlouisfed.org/contactus/. The notes from the series: Loans is the sum of "Primary credit," "Secondary credit," "Seasonal credit," "Term Asset-Backed Securities Loan Facility," and "Other credit extensions.. Additional background of the series: 1. the units of the series: Millions of U.S. Dollars. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Weekly, As of Wednesday
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 0 |
DEXKOUS
|
Will the spot exchange rate of South Korean won to US dollars have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: For questions on the data, please contact the data source: https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h10/%
For questions on FRED functionality, please contact: https://fred.stlouisfed.org/contactus/. The notes from the series: Noon buying rates in New York City for cable transfers payable in foreign currencies.. Additional background of the series: 1. the units of the series: South Korean Won to One U.S. Dollar. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily
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fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
DCOILBRENTEU
|
Will the price of Brent crude oil have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: N/A. The notes from the series: Definitions, Sources and Explanatory Notes (http://www.eia.doe.gov/dnav/pet/TblDefs/pet_pri_spt_tbldef2.asp). Additional background of the series: 1. the units of the series: Dollars per Barrel. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
SOFR90DAYAVG
|
Will the 90-day average of the Federal Reserve's Secured Overnight Financing Rate have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: As an extension of the Secured Overnight Financing Rate (SOFR), the SOFR Averages are compounded averages of the SOFR over rolling 30-, 90-, and 180-calendar day periods.
The SOFR Index measures the cumulative impact of compounding the SOFR on a unit of investment over time, with the initial value set to 1 on April 2, 2018, the first value date of the SOFR. The SOFR Index value reflects the effect of compounding the SOFR each business day and allows the calculation of compounded SOFR averages over custom time periods.. The notes from the series: As an extension of the additional documentation about the Treasury Repo Reference Rates. (https://www.newyorkfed.org/markets/treasury-repo-reference-rates-information). Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 0 |
TOTCI
|
Will the total dollar amount representing all commercial and industrial loans made by commercial banks in the US have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: For questions on the data, please contact the data source: https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h8/%
For questions on FRED functionality, please contact: https://fred.stlouisfed.org/contactus/. The notes from the series: data source (https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h8/%). For questions on FRED functionality, please contact us here (https://fred.stlouisfed.org/contactus/).</p>. Additional background of the series: 1. the units of the series: Billions of U.S. Dollars. 2. the seasonal adjustments of the series: Seasonally Adjusted 3. the update frequency: Weekly, Ending Wednesday
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
DFEDTARL
|
Will the lower limit of the target range of the federal funds rate (interest rate) set by the Federal Open Market Committee have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: N/A. The notes from the series: This series represents lower limit of the federal funds target range established by the Federal Open Market Committee. The data updated each day is the data effective as of that day.. Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily, 7-Day
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 0 |
BAMLC0A4CBBBEY
|
Will the effective yield of securities with an investment grade rating of BBB in the ICE BofA US Corporate Index, which tracks the performance of corporate debt issued in the US domestic market, have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: N/A. The notes from the series: This data represents the effective yield of the ICE BofA BBB US Corporate Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating BBB. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.
Certain indices and index data included in FRED are the property of ICE Data Indices, LLC (“ICE DATA”) and used under license. ICE® IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA® IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (“BOFA”) AND MAY NOT BE USED WITHOUT BOFA’S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN “AS IS” BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.
Copyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.
The end of day Index values, Index returns, and Index statistics (“Top Level Data”) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.
Neither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.
The Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.
You shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.
ICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.
You shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.
Access to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.
ICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.
The FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers.. Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily, Close
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
BAMLC0A2CAAEY
|
Will the effective yield of securities with an investment grade rating of AA in the ICE BofA US Corporate Index, which tracks the performance of corporate debt issued in the US domestic market, have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: N/A. The notes from the series: This data represents the effective yield of the ICE BofA AA US Corporate Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating AA. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.
Certain indices and index data included in FRED are the property of ICE Data Indices, LLC (“ICE DATA”) and used under license. ICE® IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA® IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (“BOFA”) AND MAY NOT BE USED WITHOUT BOFA’S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN “AS IS” BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.
Copyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.
The end of day Index values, Index returns, and Index statistics (“Top Level Data”) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.
Neither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.
The Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.
You shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.
ICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.
You shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.
Access to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.
ICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.
The FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers.. Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily, Close
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
BAMLHE00EHYIEY
|
Will the effective yield of the ICE BofA Euro High Yield Index, which tracks the performance of below investment grade corporate debt issued in the euro domestic or eurobond markets, have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: N/A. The notes from the series: This data represents the effective yield of the ICE BofA Euro High Yield Index tracks the performance of Euro denominated below investment grade corporate debt publicly issued in the euro domestic or eurobond markets. Qualifying securities must have a below investment grade rating (based on an average of Moody's, S&P, and Fitch). Qualifying securities must have at least one year remaining term to maturity, a fixed coupon schedule, and a minimum amount outstanding of Euro 100 million. Original issue zero coupon bonds, "global" securities (debt issued simultaneously in the eurobond and euro domestic markets), 144a securities and pay-in-kind securities, including toggle notes, qualify for inclusion in the Index. Callable perpetual securities qualify provided they are at least one year from the first call date. Fixed-to-floating rate securities also qualify provided they are callable within the fixed rate period and are at least one year from the last call prior to the date the bond transitions from a fixed to a floating rate security. Defaulted, warrant-bearing and euro legacy currency securities are excluded from the Index.
ICE BofA Explains the Construction Methodology of this series as:
Index constituents are capitalization-weighted based on their current amount outstanding. With the exception of U.S. mortgage pass-throughs and U.S. structured products (ABS, CMBS and CMOs), accrued interest is calculated assuming next-day settlement. Accrued interest for U.S. mortgage pass-through and U.S. structured products is calculated assuming same-day settlement. Cash flows from bond payments that are received during the month are retained in the index until
the end of the month and then are removed as part of the rebalancing. Cash does not earn any reinvestment income while it is held in the Index. The Index is rebalanced on the last calendar day of the month, based on information available up to and including the third business day before the last business day of the month. Issues that meet the qualifying criteria are included in the Index for the following month. Issues that no longer meet the criteria during the course of the month remain in the Index until the next month-end rebalancing at which point they are removed from the Index.
Certain indices and index data included in FRED are the property of ICE Data Indices, LLC (“ICE DATA”) and used under license. ICE® IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA® IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (“BOFA”) AND MAY NOT BE USED WITHOUT BOFA’S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN “AS IS” BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.
Copyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.
The end of day Index values, Index returns, and Index statistics (“Top Level Data”) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.
Neither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.
The Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.
You shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.
ICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.
You shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.
Access to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.
ICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.
The FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers.. Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily, Close
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 0 |
DGS5
|
Will the market yield on US treasury securities at 5-year constant maturity, quoted on an investment basis, have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: For questions on the data, please contact the data source: https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h15/%
For questions on FRED functionality, please contact: https://fred.stlouisfed.org/contactus/. The notes from the series: For further information regarding treasury constant maturity data, please refer to the H.15 Statistical Release notes (https://www.federalreserve.gov/releases/h15/default.htm) and the Treasury Yield Curve Methodology (https://home.treasury.gov/policy-issues/financing-the-government/interest-rate-statistics/treasury-yield-curve-methodology).. Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
OBMMIFHA30YF
|
Will the 30-year fixed rate FHA mortgage index have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: Optimal Blue Mortgage Market Indices™ (OBMMI™) is calculated from actual locked rates with consumers across over one-third of all mortgage transactions nationwide. OBMMI includes multiple mortgage pricing indices developed around the most popular products and specific borrower and loan level attributes.. The notes from the series: This index includes rate locks from Federal Housing Authority loans.
Optimal Blue Mortgage Market Indices (https://www2.optimalblue.com/obmmi/)™ (OBMMI™) is calculated from actual locked rates with consumers across over one-third of all mortgage transactions nationwide. OBMMI includes multiple mortgage pricing indices developed around the most popular products and specific borrower and loan level attributes.
Each index is calculated as the average of all appropriate rate locks locked through the Optimal Blue product eligibility and pricing engine on a given day. More details about methodology and definitions are available here (https://www2.optimalblue.com/obmmi/).. Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
DGS2
|
Will the market yield on US treasury securities at 2-year constant maturity, quoted on an investment basis, have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: For questions on the data, please contact the data source: https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h15/%
For questions on FRED functionality, please contact: https://fred.stlouisfed.org/contactus/. The notes from the series: For further information regarding treasury constant maturity data, please refer to the H.15 Statistical Release notes (https://www.federalreserve.gov/releases/h15/default.htm) and the Treasury Yield Curve Methodology (https://home.treasury.gov/policy-issues/financing-the-government/interest-rate-statistics/treasury-yield-curve-methodology).. Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
BAMLC0A0CMEY
|
Will the effective yield of the ICE BofA Corporate Index, which tracks the performance of corporate debt issued in the US domestic market, have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: N/A. The notes from the series: This data represents the effective yield of the ICE BofA US Corporate Index, which tracks the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. To qualify for inclusion in the index, securities must have an investment grade rating (based on an average of Moody's, S&P, and Fitch) and an investment grade rated country of risk (based on an average of Moody's, S&P, and Fitch foreign currency long term sovereign debt ratings). Each security must have greater than 1 year of remaining maturity, a fixed coupon schedule, and a minimum amount outstanding of $250 million. Original issue zero coupon bonds, "global" securities (debt issued simultaneously in the eurobond and US domestic bond markets), 144a securities and pay-in-kind securities, including toggle notes, qualify for inclusion in the Index. Callable perpetual securities qualify provided they are at least one year from the first call date. Fixed-to-floating rate securities also qualify provided they are callable within the fixed rate period and are at least one year from the last call prior to the date the bond transitions from a fixed to a floating rate security. DRD-eligible and defaulted securities are excluded from the Index.
ICE BofA Explains the Construction Methodology of this series as:
Index constituents are capitalization-weighted based on their current amount outstanding. With the exception of U.S. mortgage pass-throughs and U.S. structured products (ABS, CMBS and CMOs), accrued interest is calculated assuming next-day settlement. Accrued interest for U.S. mortgage pass-through and U.S. structured products is calculated assuming same-day settlement. Cash flows from bond payments that are received during the month are retained in the index until the end of the month and then are removed as part of the rebalancing. Cash does not earn any reinvestment income while it is held in the Index. The Index is rebalanced on the last calendar day of the month, based on information available up to and including the third business day before the last business day of the month. Issues that meet the qualifying criteria are included in the Index for the following month. Issues that no longer meet the criteria during the course of the month remain in the Index until the next month-end rebalancing at which point they are removed from the Index.
When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.
Certain indices and index data included in FRED are the property of ICE Data Indices, LLC (“ICE DATA”) and used under license. ICE® IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA® IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (“BOFA”) AND MAY NOT BE USED WITHOUT BOFA’S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN “AS IS” BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.
Copyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.
The end of day Index values, Index returns, and Index statistics (“Top Level Data”) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.
Neither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.
The Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.
You shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.
ICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.
You shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.
Access to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.
ICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.
The FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers.. Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily, Close
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
CREACBW027SBOG
|
Will the amount of money representing all commercial real estate loans made by commercial banks in the US have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: For questions on the data, please contact the data source: https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h8/%
For questions on FRED functionality, please contact: https://fred.stlouisfed.org/contactus/. The notes from the series: data source (https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h8/%). For questions on FRED functionality, please contact us here (https://fred.stlouisfed.org/contactus/).</p>. Additional background of the series: 1. the units of the series: Billions of U.S. Dollars. 2. the seasonal adjustments of the series: Seasonally Adjusted 3. the update frequency: Weekly, Ending Wednesday
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
DTWEXAFEGS
|
Will the Nominal Advanced Foreign Economies US Dollar Index, a weighted average of the foreign exchange value of the US dollar against a subset of broad index currencies that are advanced foreign economies, have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: For questions on the data, please contact the data source: https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h10/%
For questions on FRED functionality, please contact: https://fred.stlouisfed.org/contactus/. The notes from the series: N/A. Additional background of the series: 1. the units of the series: Index Jan 2006=100. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
ANFCI
|
Will the Chicago Fed's Adjusted National Financial Conditions Index have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: N/A. The notes from the series: The Chicago Fed’s National Financial Conditions Index (NFCI) provides a comprehensive weekly update on U.S. financial conditions in money markets, debt and equity markets and the traditional and “shadow” banking systems. Positive values of the NFCI indicate financial conditions that are tighter than average, while negative values indicate financial conditions that are looser than average.
The adjusted NFCI (ANFCI). This index isolates a component of financial conditions uncorrelated with economic conditions to provide an update on how financial conditions compare with current economic conditions.
For further information, please visit the Federal Reserve Bank of Chicago's web site: http://www.chicagofed.org/webpages/publications/nfci/index.cfm. Additional background of the series: 1. the units of the series: Index. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Weekly, Ending Friday
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
GASREGW
|
Will the average price of regular gas in the US have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: N/A. The notes from the series: Weighted average based on sampling of approximately 900 retail outlets, 8:00AM Monday. The price represents self-service unless only full-service is available and includes all taxes. See (http://www.eia.doe.gov/oil_gas/petroleum/data_publications/wrgp/mogas_home_page.html) for further definitions. Regular Gasoline has an antiknock index (average of the research octane rating and the motor octane number) greater than or equal to 85 and less than 88. Octane requirements may vary by altitude.. Additional background of the series: 1. the units of the series: Dollars per Gallon. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Weekly, Ending Monday
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 0 |
DGS30
|
Will the market yield on US treasury securities at 30-year constant maturity, quoted on an investment basis, have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: For questions on the data, please contact the data source: https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h15/%
For questions on FRED functionality, please contact: https://fred.stlouisfed.org/contactus/. The notes from the series: Yields on actively traded non-inflation-indexed issues adjusted to constant maturities. The 30-year Treasury constant maturity series was discontinued on February 18, 2002, and reintroduced on February 9, 2006.
For further information regarding treasury constant maturity data, please refer to the H.15 Statistical Release notes (https://www.federalreserve.gov/releases/h15/default.htm) and the Treasury Yield Curve Methodology (https://home.treasury.gov/policy-issues/financing-the-government/interest-rate-statistics/treasury-yield-curve-methodology).. Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
WSHOSHO
|
Will the total dollar amount of securities held by US Federal Reserve Banks have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: For questions on the data, please contact the data source: https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h41/%
For questions on FRED functionality, please contact: https://fred.stlouisfed.org/contactus/. The notes from the series: The amount of securities held by Federal Reserve Banks. This quantity is the cumulative result of permanent open market operations: outright purchases or sales of securities, conducted by the Federal Reserve. Section 14 of the Federal Reserve Act defines the securities that the Federal Reserve is authorized to buy and sell.. Additional background of the series: 1. the units of the series: Millions of U.S. Dollars. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Weekly, As of Wednesday
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
NASDAQCOM
|
Will the NASDAQ Composite Index, which represents the daily index value at market close, have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: National Association of Securities Dealers Automated Quotations. The notes from the series: The observations for the NASDAQ Composite Index represent the daily index value at market close. The market typically closes at 4 PM ET, except for holidays when it sometimes closes early.
The NASDAQ Composite Index is a market capitalization weighted index with more than 3000 common equities listed on the NASDAQ Stock Market. The types of securities in the index include American depositary receipts (ADRs), common stocks, real estate investment trusts (REITs), and tracking stocks. The index includes all NASDAQ listed stocks that are not derivatives, preferred shares, funds, exchange-traded funds (ETFs) or debentures.
Copyright © 2016, NASDAQ OMX Group, Inc.. Additional background of the series: 1. the units of the series: Index Feb 5, 1971=100. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily, Close
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
DTB4WK
|
Will the Federal Reserve's 4-week secondary market treasury bill rate have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: For questions on the data, please contact the data source: https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h15/%
For questions on FRED functionality, please contact: https://fred.stlouisfed.org/contactus/. The notes from the series: Discount basis.. Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 0 |
WRMFNS
|
Will Retail Money Market Funds, a component of M2, a measure of USD money supply, have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: For questions on the data, please contact the data source: https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h6/%
For questions on FRED functionality, please contact: https://fred.stlouisfed.org/contactus/. The notes from the series: data source (https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h6/%). For questions on FRED functionality, please contact us here (https://fred.stlouisfed.org/contactus/).</p>. Additional background of the series: 1. the units of the series: Billions of Dollars. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Weekly, Ending Monday
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 0 |
SOFR30DAYAVG
|
Will the 30-day average of the Federal Reserve's Secured Overnight Financing Rate have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: As an extension of the Secured Overnight Financing Rate (SOFR), the SOFR Averages are compounded averages of the SOFR over rolling 30-, 90-, and 180-calendar day periods.
The SOFR Index measures the cumulative impact of compounding the SOFR on a unit of investment over time, with the initial value set to 1 on April 2, 2018, the first value date of the SOFR. The SOFR Index value reflects the effect of compounding the SOFR each business day and allows the calculation of compounded SOFR averages over custom time periods.. The notes from the series: As an extension of the additional documentation about the Treasury Repo Reference Rates. (https://www.newyorkfed.org/markets/treasury-repo-reference-rates-information). Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 0 |
RRPONTSYAWARD
|
Will the award rate of US Treasury securities sold by the Federal Reserve in overnight temporary open market operations have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: N/A. The notes from the series: The award rate is the rate given to all accepted propositions for the collateral type reported by the New York Fed as part of the Temporary Open Market Operations.
Temporary open market operations involve short-term repurchase and reverse repurchase agreements that are designed to temporarily add or drain reserves available to the banking system and influence day-to-day trading in the federal funds market.
A reverse repurchase agreement (known as reverse repo or RRP) is a transaction in which the New York Fed under the authorization and direction of the Federal Open Market Committee sells a security to an eligible counterparty with an agreement to repurchase that same security at a specified price at a specific time in the future. For these transactions, eligible securities are U.S. Treasury instruments.
See FAQs (https://www.newyorkfed.org/markets/rrp_faq.html) for more information.. Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 0 |
RPONTSYD
|
Will the aggregated daily value of US Treasury securities repurchased overnight by the Federal Reserve in temporary open market operations have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: N/A. The notes from the series: This series is constructed as the aggregated daily amount value of the RP transactions reported by the New York Fed as part of the Temporary Open Market Operations.
Temporary open market operations involve short-term repurchase and reverse repurchase agreements that are designed to temporarily add or drain reserves available to the banking system and influence day-to-day trading in the federal funds market.
A repurchase agreement (known as repo or RP) is a transaction in which the New York Fed under the authorization and direction of the Federal Open Maker Committee buys a security from an eligible counterparty under an agreement to resell that security in the future. For these transactions, eligible securities are U.S. Treasury instruments, federal agency debt and the mortgage-backed securities issued or fully guaranteed by federal agencies.. Additional background of the series: 1. the units of the series: Billions of US Dollars. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 0 |
T5YIE
|
Will the US' 5-year breakeven inflation rate have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: N/A. The notes from the series: The breakeven inflation rate represents a measure of expected inflation derived from 5-Year Treasury Constant Maturity Securities (BC_5YEAR) and 5-Year Treasury Inflation-Indexed Constant Maturity Securities (TC_5YEAR). The latest value implies what market participants expect inflation to be in the next 5 years, on average.
Starting with the update on June 21, 2019, the Treasury bond data used in calculating interest rate spreads is obtained directly from the U.S. Treasury Department (https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield).. Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
WTREGEN
|
Will the weekly average of deposits other than reserve balances held in the US treasury's general accounts with Federal Reserve Banks have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: For questions on the data, please contact the data source: https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h41/%
For questions on FRED functionality, please contact: https://fred.stlouisfed.org/contactus/. The notes from the series: This account is the primary operational account of the U.S. Treasury at the Federal Reserve. Virtually all U.S. government disbursements are made from this account. Some tax receipts, primarily individual and other tax payments made directly to the Treasury, are deposited in this account, and it is also used to collect funds from sales of Treasury debt.. Additional background of the series: 1. the units of the series: Billions of U.S. Dollars. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Weekly, Ending Wednesday
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 0 |
DTB1YR
|
Will the Federal Reserve's 1-year secondary market treasury bill rate have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: For questions on the data, please contact the data source: https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h15/%
For questions on FRED functionality, please contact: https://fred.stlouisfed.org/contactus/. The notes from the series: Discount Basis. Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
DGS20
|
Will the market yield on US treasury securities at 20-year constant maturity, quoted on an investment basis, have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: For questions on the data, please contact the data source: https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h15/%
For questions on FRED functionality, please contact: https://fred.stlouisfed.org/contactus/. The notes from the series: For further information regarding treasury constant maturity data, please refer to the H.15 Statistical Release notes (https://www.federalreserve.gov/releases/h15/default.htm) and the Treasury Yield Curve Methodology (https://home.treasury.gov/policy-issues/financing-the-government/interest-rate-statistics/treasury-yield-curve-methodology).. Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
DGS6MO
|
Will the market yield on US treasury securities at 6-month constant maturity, quoted on an investment basis, have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: For questions on the data, please contact the data source: https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h15/%
For questions on FRED functionality, please contact: https://fred.stlouisfed.org/contactus/. The notes from the series: For further information regarding treasury constant maturity data, please refer to the H.15 Statistical Release notes (https://www.federalreserve.gov/releases/h15/default.htm) and the Treasury Yield Curve Methodology (https://home.treasury.gov/policy-issues/financing-the-government/interest-rate-statistics/treasury-yield-curve-methodology).. Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 0 |
RESPPANWW
|
Will the total dollar amount of assets held by all US Federal Reserve banks have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: For questions on the data, please contact the data source: https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h41/%
For questions on FRED functionality, please contact: https://fred.stlouisfed.org/contactus/. The notes from the series: N/A. Additional background of the series: 1. the units of the series: Millions of U.S. Dollars. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Weekly, As of Wednesday
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
BAMLH0A3HYCEY
|
Will the effective yield of securities with an investment grade rating of CCC or below in the ICE BofA US High Yield Master II Index, which tracks the performance of corporate debt below investment grade in the US domestic market, have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: N/A. The notes from the series: This data represents the effective yield of the ICE BofA US Corporate C Index, a subset of the ICE BofA US High Yield Master II Index tracking the performance of US dollar denominated below investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating CCC or below. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.
Certain indices and index data included in FRED are the property of ICE Data Indices, LLC (“ICE DATA”) and used under license. ICE® IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA® IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (“BOFA”) AND MAY NOT BE USED WITHOUT BOFA’S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN “AS IS” BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.
Copyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.
The end of day Index values, Index returns, and Index statistics (“Top Level Data”) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.
Neither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.
The Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.
You shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.
ICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.
You shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.
Access to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.
ICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.
The FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers.. Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily, Close
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
BAMLH0A2HYBEY
|
Will the effective yield of securities with an investment grade rating of B in the ICE BofA US High Yield Master II Index, which tracks the performance of corporate debt below investment grade in the US domestic market, have increased by {resolution_date} as compared to its value on {forecast_due_date}?
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The notes from the release: N/A. The notes from the series: This data represents the effective yield of the ICE BofA US Corporate B Index, a subset of the ICE BofA US High Yield Master II Index tracking the performance of US dollar denominated below investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating B. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.
Certain indices and index data included in FRED are the property of ICE Data Indices, LLC (“ICE DATA”) and used under license. ICE® IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA® IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (“BOFA”) AND MAY NOT BE USED WITHOUT BOFA’S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN “AS IS” BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.
Copyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.
The end of day Index values, Index returns, and Index statistics (“Top Level Data”) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.
Neither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.
The Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.
You shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.
ICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.
You shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.
Access to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.
ICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.
The FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers.. Additional background of the series: 1. the units of the series: Percent. 2. the seasonal adjustments of the series: Not Seasonally Adjusted 3. the update frequency: Daily, Close
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
TMBACBW027SBOG
|
Will the total dollar amount of mortgage-backed securities held by all US commercial banks have increased by {resolution_date} as compared to its value on {forecast_due_date}?
|
The notes from the release: For questions on the data, please contact the data source: https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h8/%
For questions on FRED functionality, please contact: https://fred.stlouisfed.org/contactus/. The notes from the series: data source (https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h8/%). For questions on FRED functionality, please contact us here (https://fred.stlouisfed.org/contactus/).</p>. Additional background of the series: 1. the units of the series: Billions of U.S. Dollars. 2. the seasonal adjustments of the series: Seasonally Adjusted 3. the update frequency: Weekly, Ending Wednesday
|
fred
|
The Federal Reserve Economic Data database (FRED) provides economic data from national, international, public, and private sources.You're going to predict how questions based on this data will resolve.
| 1 |
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