mohdabdin/crypto-trading-RL-environment
A Crypto-trading reinforcement learning that explores the potential of using RL agents on a trading environment with multiple markets.
This project helps quantitative traders and financial researchers explore automated cryptocurrency trading strategies. It takes historical price data across multiple crypto pairs and outputs simulated trading decisions (buy/sell/hold for specific coins and amounts) to evaluate their effectiveness. The end-user is typically someone designing or testing algorithmic trading systems.
No commits in the last 6 months.
Use this if you are a quantitative trader or researcher interested in testing reinforcement learning agents to manage a portfolio across several cryptocurrency markets simultaneously.
Not ideal if you're looking for a ready-to-use trading bot or a tool that only focuses on a single crypto trading pair.
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Language
Python
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Last pushed
Mar 13, 2021
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