gym-anytrading
Unverified ML strategy on Forex by AminHP. BotFinder score 18 out of 100.
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
Source: github
BotFinder analysis pending.
gym-anytrading
gym-anytrading AnyTrading is a collection of OpenAI Gym environments for reinforcement learning-based trading algorithms. Trading algorithms are mostly implemented in two markets: FOREX and Stock. AnyTrading aims to provide some Gym environments to improve and facilitate the procedure of developing and testing RL-based algorithms in this area. This purpose is obtained by implementing three Gym environments: TradingEnv, ForexEnv, and StocksEnv. TradingEnv is an abstract environment which is defined to support all kinds of trading environments. ForexEnv and StocksEnv are simply two environments that inherit and extend TradingEnv. In the future sections, more explanations will be given about them but before that, some environment properties should be discussed. Note: For experts, it is recommended to check out the gym-mtsim project. Installation Via PIP From Repository Environment Properties First of all, you can't simply expect an RL agent to do everything for you and just sit back on your chair in such complex trading markets! Things need to be simplified as much as possible in order
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