What you'll learn

Implement Modern Risk Parity analysis to select a portfolio of stocks and weights.

Write a reusable backtesting class that iteratively implements your parameters

Analytical outputs such as Sharpe Ratio, CAGR, Drawdown, Benchmark Charts , etc.

Select optimal stock universes from S&P500 data

Integrate SQL databases for streamlined data retrieval

Generate key financial metrics for performance review

Craft a Python backtesting class for strategy analysis

Utilize Python for dynamic asset allocation

Backtest how your strategy would have done through time