jookie/jojoBot
Financial trading strategies using deep reinforcement learning (DRL). It offers a frameworks for quantitative finance, enabling practitioners to create, test, and implement investments strategies.
This project helps individual investors and quantitative traders automate their financial trading strategies. It takes historical market data for various asset classes like stocks, options, and crypto, then uses AI to develop and test trading rules. The output is a robust, automated trading bot that operates 24/7 to execute trades based on these learned strategies, aiming for higher returns by identifying and acting on market opportunities.
No commits in the last 6 months.
Use this if you want to automate your trading decisions across multiple asset classes and backtest strategies against historical data without constantly monitoring the market manually.
Not ideal if you prefer manual trading, have a low-risk, long-term investment horizon, or are not comfortable with algorithmic trading approaches.
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Language
TypeScript
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Category
Last pushed
Sep 30, 2024
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