cove9988/TradingGym
Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.
This project helps quantitative traders and strategists develop and test automated forex trading strategies using reinforcement learning. It takes historical candlestick data (open, high, low, close) for various currency pairs and outputs a simulated trading environment. This allows users to train and evaluate AI models that learn to make buy, sell, or hold decisions, aiming to maximize forex point-based rewards.
222 stars. No commits in the last 6 months.
Use this if you are a quantitative trader or researcher looking to apply deep reinforcement learning to develop and backtest automated forex trading strategies.
Not ideal if you need a plug-and-play trading bot or a tool for manual trading analysis, as this requires expertise in reinforcement learning and Python.
Stars
222
Forks
57
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 23, 2024
Commits (30d)
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