Custom Indicators for Reinforcement Learning Trading Tutorial - GME Python Trading PT2
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Overview
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This course shows how to calculate RSI, SMA, and OBV with Python and Finta, integrate them into a Gym trading environment, and retrain and evaluate a reinforcement learning trading bot. It builds on an earlier trading tutorial and uses GME data as the example.
Syllabus
- Start
- Ordering Trading Data using Pandas
- Installing and Importing Dependencies - Finta
- Fixing Volume Data
- Calculating RSI, SMA and OBV using Pandas and Finta
- Customizing The Trading Environment
- Training the Reinforcement Learning Agent
- Evaluating Model Performance
Taught by
Nicholas Renotte