A python tool to maintain a local OHLCV candles history of crypto instruments for various exchanges.
The goal is to gather and save a lot of OHLCV data from crypto exchanges for analysis and crypto trading/investing.
Most exchanges are not keeping many OHLCV candles. For example Coinbase Pro only gives use a few hundreds candles in the past. This script allows to fetch periodically the data and save it for later use.
In a clone of the repository, run the following commands to install a python 3 virtual environment for running the script:
virtualenv venv
source venv/Scripts/activate
pip install -r requirements.txtpython cryptobigbro ACTION EXCHANGE INSTRUMENT FOLDER [--timeframes TIMEFRAMELIST]
Examples:
- python cryptobigbro fetch-ohlcv bitmex XBTUSD /home/me/bitmex-XBTUSD-history
- python cryptobigbro fetch-ohlcv binance ETHBTC /home/me/binance-ETHBTC-history --timeframes 1m,30m,1d
- python cryptobigbro list-instruments coinbasepro
- python cryptobigbro list-timeframes binance
- python cryptobigbro list-exchanges
The fetch-ohlcv command update a file 'EXCHANGE-INSTRUMENT.csv' in the folder specified on the command line. If the file or the folder do not exist, they are created.
The columns of the CSV file are open_timestamp_utc, close_timestamp_utc, open, high, low, close and volume.
Timestamps are in seconds and in UTC timezone.
- Better README.md
- Check how to get api rate limit with each python api
- Use shrimpy API to rewrite "investor.py"
- Use logging module in cryptobigbro
- Transform cryptobigbro to be the starting command of every script
- Use shrimpy API to build a daily rebalance algorithm based on momentum based markowitz optimization
- Backtest with https://github.com/backtrader/backtrader
- Read https://www.quantstart.com/articles/Event-Driven-Backtesting-with-Python-Part-I for backtest theory and practice
- https://robusttechhouse.com/python-backtesting-libraries-for-quant-trading-strategies/