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

AlphaForge is a portfolio research-platform project designed to demonstrate Python software engineering, financial data processing, backtesting correctness, API design, testing, and platform ...

In this tutorial, we implement how to use pandas-ta-classic to build a complete technical analysis and trading strategy workflow. We start by installing the required ...

Deterministic Market Replay is an open-source infrastructure project for reproducing MT5 market and broker execution conditions locally. The project is designed to reduce ambiguity between backtests, ...

Backtests often look far better on paper than they do in live markets. The usual reason is not that the idea was completely wrong. It is that the strategy was tuned too closely to the past, then ...

A familiar story: you build a machine learning model, run backtests, and the numbers look great. Stable profits, clean equity curve, reasonable drawdowns. You deploy it to production, and within days, ...