Learn the fundamentals of momentum trading and build a simple strategy using moving averages and volume indicators.

Create a mean reversion strategy using Bollinger Bands and RSI. Learn proper entry/exit signals and position sizing.

Use scikit-learn and XGBoost to build ML models that enhance traditional technical analysis with predictive signals.

Construct a diversified portfolio strategy that trades multiple assets with correlation-based position sizing.

Learn proper parameter optimization techniques to avoid overfitting and improve out-of-sample performance.

Step-by-step guide to moving from backtesting to live trading, including monitoring and failover setup.