pyOrderbookTrading
Unverified ML strategy on Crypto by sturex. BotFinder score 18 out of 100.
Bitmex orderbooks saving + (neural) trading signal generator + backtesting etc.
Source: github
BotFinder analysis pending.
pyOrderbookTrading
With this sample framework youll be able to: get order book (Level II, market depth) from BitMEX and save as json structures in day-lenght files generate trading signals [BUY, SELL, WAIT] on orderbooks (not only BitMEX\s) with or without help of sequential neural network create training dataset for neural network from presaved orderbooks create, train, save and restore neural network with input data of orderbooks (not only BitMEXs) perform backtest trading with output of trades Additional external info The closely related ideas are also exposed in "One Way to Trading over Orderbook Analisys" article on Medium. Read the article for better understanding. Limitations BitMEX only and XBTUSD data fetching only are provided. The source connection code taken from Python Adapter for BitMEX Realtime Data Code works correctly only for 100-depth order books. Neural network has voluntaristic rigid architecture where you can operate only number of layers and neurons quantity. Input layer must contain 100 neurons, output layer 2 neurons. No commissions, fees etc. are calculated while backtesting.
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Alerts on changes: coming soon
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Open-source maintainer on GitHub.
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