Explore the fundamentals of building a Python trading bot using Reinforcement Learning in this 38-minute tutorial. Learn to work with OpenAI Gym's gym-Anytrading for Reinforcement Learning Trading, train a trading bot using Stable Baselines, and load custom Gamestop (GME) trading data from MarketWatch. Follow along as the tutorial covers installing dependencies, importing libraries, loading and manipulating stock data with Pandas, integrating custom data into the Gym-Anytrading environment, testing the trading environment, training the Reinforcement Learning agent, and evaluating model performance. Gain practical insights into applying Reinforcement Learning techniques in a finance and trading context, providing a foundation for developing more advanced trading strategies.
Reinforcement Learning for Trading Tutorial - GME RL Python Trading
Overview
Syllabus
- Start
- Installing Gym-Anytrading and Dependencies
- Importing Dependencies
- Loading Gamestop Marketwatch data using Pandas
- Pushing Custom Data into the Gym-Anytrading Environment
- Testing the Trading Environment
- Training the Reinforcement Learning Agent
- Evaluating Model Performance
Taught by
Nicholas Renotte
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