freqtrade-gym
Unverified ML strategy on Crypto by hugocen. BotFinder score 18 out of 100.
A customized gym environment for developing and comparing reinforcement learning algorithms in crypto trading.
Source: github
BotFinder analysis pending.
freqtrade-gym
freqtrade-gym This project is base on freqtrade The project is in very early stage, so there are a lot of inconvenient part that you have to set up manually. I am working on the improvements. Installation 1. freqtrade Follow the freqtrade documentation to install freqtrade Initialize the userdirectory 2. Pandas 3. OpenAI Gym 4. Copy freqtrade-gym files Baseline files IndicatorforRL.py -> [freqtrade home]/userdata/strategies/IndicatorforRL.py configrl.json -> [freqtrade home]/configrl.json freqtradegym.py -> [freqtrade home]/freqtradegym.py deeprl.py -> [freqtrade home]/deeprl.py RLib Copy first the baseline files. LoadRLModel.py -> [freqtrade home]/userdata/strategies/LoadRLModel.py rllibexample.py -> [freqtrade home]/rllibexample.py Example Usage (baseline) The usage example is deeprl.py and the config for freqtrade and freqtrade-gym is configrl.json and uses IndicatorforRL.py as feature extraction. This demo is using openai baseline library to train reinforcement learning agents. Baseline can install by Download historical data (Remember to download a little bit more data than the
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