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HISTDATA - Dataset composed of all FX trading pairs / Crude Oil / Stock Indexes. Simple API to retrieve 1 Minute data (and tick data) Historical FX Prices (up to date).
| Date | Stars |
|---|---|
| 2026-07-24 | 666 |
| 2026-07-25 | 666 |
| 2026-07-28 | 666 |
| 2026-07-30 | 666 |
| 2026-08-06 | 666 |
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# FX 1-Minute Dataset (+ Crude Oil and Stock indexes e.g. SP500) API and dataset download for [histdata.com](http://histdata.com). Tick data is also available with the API. For a broader support, consider checking out this project [https://github.com/dmidlo/histdata.com-tools]. ## Download the dataset - Click Here to download it: [All instruments - 1Minute - 2000 / 2024 - Google Drive link (3GB)](https://drive.google.com/drive/folders/1IG_5SM3SLsxVeaDJlmL2qskex5EsTwjG?usp=sharing). - You can also re-download the whole dataset (up to date) by yourself: ```bash pip install -r requirements.txt python download_all_fx_data.py ``` Expect it to take around 10 minutes if you have a fast internet connection. ## API [](https://pepy.tech/project/histdata) [](https://pepy.tech/project/histdata/month) ``` pip install histdata ``` ### Examples ```python from histdata import download_hist_data as dl from histdata.api import Platform as P, TimeFrame as TF ``` - Download tick data for 2019/06: ```python dl(year='2019', month='6', pair='eurusd', platform=P.GENERIC_ASCII, time_frame=TF.TICK_DATA) ``` - Other possible calls: ```python dl(year='2019', month='6', pair='eurusd', platform=P.NINJA_TRADER, time_frame=TF.TICK_DATA_LAST) dl(year='2019', month='6', pair='eurusd', platform=P.NINJA_TRADER, time_frame=TF.TICK_DATA_ASK) dl(year='2019', month='6', pair='eurusd', platform=P.NINJA_TRADER, time_frame=TF.TICK_DATA_BID) dl(year='2019', month='6', pair='eurusd', platform=P.NINJA_TRADER, time_frame=TF.ONE_MINUTE) dl(year='2019', month='6', pair='eurusd', platform=P.GENERIC_ASCII, time_frame=TF.TICK_DATA) dl(year='2019', month='6', pair='eurusd', platform=P.EXCEL, time_frame=TF.ONE_MINUTE) dl(year='2019', month='6', pair='eurusd', platform=P.META_TRADER, time_frame=TF.ONE_MINUTE) dl(year='2019', month='6', pair='eurusd', platform=P.META_STOCK, time_frame=TF.ONE_MINUTE) dl(year='2018', month='6', pair='eurusd', platform=P.NINJA_TRADER, time_frame=TF.TICK_DATA_LAST) dl(year='2018', month='6', pair='eurusd', platform=P.NINJA_TRADER, time_frame=TF.TICK_DATA_ASK) dl(year='2018', month='6', pair='eurusd', platform=P.NINJA_TRADER, time_frame=TF.TICK_DATA_BID) ``` ## Data specification This repository contains: - A dataset of all the FX prices (1-minute data) from 2000, in Generic ASCII. - More than 66 FX pairs - Contains some commodities: - WTI/USD = WEST TEXAS INTERMEDIATE in USD - BCO/USD = BRENT CRUDE OIL in USD - Contains some indexes: - SPX/USD = S&P 500 in USD - JPX/JPY = NIKKEI 225 in JPY - NSX/USD = NASDAQ 100 in USD - FRX/EUR = FRENCH CAC 40 in EUR - UDX/USD = US DOLLAR INDEX in USD - UKX/GBP = FTSE 100 in GBP - GRX/EUR = DAX 30 in EUR - AUX/AUD = ASX 200 in AUD - HKX/HKD = HAN SENG in HKD E - TX/EUR = EUROSTOXX 50 in EUR - A set of functions to download the historical prices yourself. All the data is retrieved from: http://www.histdata.com/ Any file in a dataset is zipped and contains: - a CSV (semicolon separated file). - a status report (containing some meta data such as gaps). Any CSV file looks like this: ```bash 20120201 000000;1.306600;1.306600;1.306560;1.306560;0 20120201 000100;1.306570;1.306570;1.306470;1.306560;0 20120201 000200;1.306520;1.306560;1.306520;1.306560;0 20120201 000300;1.306610;1.306610;1.306450;1.306450;0 20120201 000400;1.306470;1.306540;1.306470;1.306520;0 [...] ``` Headers are not included in the CSV files. They are: ```csv DateTime Stamp;Bar OPEN Bid Quote;Bar HIGH Bid Quote;Bar LOW Bid Quote;Bar CLOSE Bid Quote;Volume ``` ### DateTime Stamp Format: `YYYYMMDD HHMMSS` Legend: - YYYY – Year - MM – Month (01 to 12) - DD – Day of the Month - HH – Hour of the day (in 24h format) - MM – Minute - SS – Second, in this case it will be always 00 TimeZone: Eastern Standard Time (EST) time-zone *WITHOUT* Day Light Savings adjustments ### OPEN Bid Quote The open (firs
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Philippe Rémy · Imperial College London
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:88da99b16b96e18a, topic:dataset, desc:dataset, readme:dataset
matched fp:88da99b16b96e18a, topic:deep-learning
matched fp:88da99b16b96e18a, topic:trading