Descriptions:
This video tackles a well-known failure mode in algorithmic trading — curve fitting — and demonstrates how to build a proper walk-forward backtesting engine using Claude Code in Visual Studio Code, without writing Python manually.
The host contrasts standard TradingView backtests, which optimize parameters across an entire historical dataset and produce inflated results, with walk-forward analysis, which trains on a rolling 12-month window, locks those parameters, and then tests them against the next 3 months of completely unseen data. This process repeats across 19 folds from 2018 to 2024. The practical demonstration uses an RSI-based strategy as a control: the traditional backtest shows a 199% return with a Sharpe ratio above 1 and under 6% drawdown, while the walk-forward analysis returns just 5% — revealing a 75% return degradation attributable entirely to curve fitting.
Claude Code handles the full build from a plain-English specification inside VS Code, making the methodology accessible to traders without a software engineering background. The resulting engine outputs a visual comparison between the optimistic retail backtest curve (blue) and the walk-forward reality (orange), giving traders a practical tool for stress-testing strategies before committing real capital. The video is particularly useful for anyone who has been misled by impressive-looking backtests on social media.
📺 Source: AI Pathways · Published March 08, 2026
🏷️ Format: Hands On Build
