Welcome to our open-source financial data repository! This repository provides historical data sampled across different timeframes, encompassing a broad range of financial instruments. Our aim is to offer a comprehensive dataset for researchers, traders, and anyone interested in financial market analysis.
- EUR/NZD
- EUR/USD
- GBP/AUD
- GBP/CAD
- GBP/CHF
- GBP/JPY
- GBP/USD
- NZD/USD
- USD/CAD
- USD/CHF
- USD/JPY
- AUD/CAD
- AUD/CHF
- AUD/USD
- EUR/AUD
- EUR/CAD
- EUR/CHF
- EUR/GBP
- EUR/JPY
- Commodities: Including but not limited to:
- Gold
- Silver
- Brent Oil
- Stocks: A broad selection of global stocks.
- AAPL
- NFLX
- TSLA
- Indices: Key market indices such as:
- S&P 500
- Dow Jones Industrial Average
- NASDAQ
- FTSE 100
- DAX
- Cryptocurrency Pairs: A selection of the most traded crypto pairs.
- Tick Data - Added only S&P futures tick data , make sure to add zip files to the tick data folders.
Our datasets are sampled across various timeframes to suit different analytical needs:
- 1 Minute (1m)
- 5 Minutes (5m)
- 15 Minutes (15m)
- 30 Minutes (30m)
- 1 Hour (60m)
- 4 Hours (240m)
- Daily
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Format: All data files are in CSV format, making it easy to import and work with using a variety of tools and platforms.
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Timezone: All timestamps are in GMT (Greenwich Mean Time).
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Data Limit: To ensure a manageable file size and download speed, our 1-minute timeframe dataset has a limit of 200,000 bars. Other timeframes are adjusted accordingly.
To use the data, simply navigate to the desired folder representing the instrument of your choice, and download the CSV file corresponding to your preferred timeframe.
This data is made available under the MIT License. Feel free to use, modify, and distribute the data as you see fit, but please provide appropriate attribution.
We welcome contributions! Whether it's adding new datasets, refining existing ones, or enhancing the repository in any other way, please feel free to submit a pull request or open an issue. Join Our Discord https://discord.gg/bpKee7C
Thank you for choosing our repository for your financial data needs. We hope you find it valuable and look forward to seeing the insights and strategies you derive from it!