Python and Pine Script Research Workflow

Retrieve and align daily commodity, equity, benchmark, and foreign-exchange price series in Python.

Calculate returns, volatility, drawdown, and correlation from aligned market-price data.

Measure an equity’s relative performance and rolling sensitivity to its underlying commodity.

Classify a price series as trending or range-bound using explicit and reproducible chart rules.

Implement entry and exit rules for a trading signal in Pine Script.

Evaluate a signal using chronological training and test periods while checking for look-ahead bias, transaction costs, and parameter overfitting.

Generate a reproducible chart-and-data evidence report for a commodity and a related listed company.