Verifying the profit and loss when trading according to a specific set of rules, such as "buy when the moving average shows a golden cross," using historical data is called a backtest. By performing a ...

Start 2004-08-19 00:00:00 End 2013-03-01 00:00:00 Duration 3116 days 00:00:00 Exposure Time [%] 94.27 Equity Final [$] 68935.12 Equity Peak [$] 68991.22 Return [%] 589.35 Buy & Hold Return [%] 703.46 ...

This runs a moving-average crossover backtest on local CSV sample data, prints headline metrics, and saves a tearsheet under artifacts/. For a more complete portfolio-style demo: python ...

Get practical Python code for algorithmic trading from Jason Strimpel, founder of PyQuant News and a veteran of global trading, risk management, and machine learning. This hands-on guide shows you how ...

Discover the most common backtesting mistakes that can turn profitable strategies into live trading losses, and learn how to validate trading systems more effectively.