Learn how to build a Python Trading Bot using Reinforcement Learning, specifically focusing on Gamestop stock prices. The course covers working with OpenAI Gym for Reinforcement Learning Trading, training a Trading Bot with Python using Stable Baselines, and loading GME Trading data for training a custom RL Trading Bot. The course provides a hands-on approach to understanding the basics of leveraging RL in a Finance/Trading environment. The intended audience for this tutorial is individuals interested in exploring the intersection of Reinforcement Learning and trading, with a basic understanding of Python programming.
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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