Custom Indicators for Reinforcement Learning Trading Tutorial - GME Python Trading PT2

Learn to create custom financial technical indicators for a Python Reinforcement Learning trading bot in this advanced tutorial. Calculate relative strength index (RSI), simple moving average (SMA), and on-balance volume (OBV) indicators using the Finta package for technical analysis. Integrate these new trading indicators into the gym-anytrading environment for Reinforcement Learning, specifically focusing on trading Gamestop ($GME) stocks. Order trading data using Pandas, fix volume data issues, and customize the trading environment. Train a reinforcement learning model using the newly calculated indicators and evaluate its performance. Gain practical skills in leveraging custom indicators for various trading strategies and assets, applicable beyond just GME stocks.

- 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