Building an End-to-End Hedge Fund in Python with Claude Code: A 5-Step Workflow
mdancho84 · x · 2026-11-12
quantscience shared a bookmarkable workflow for building an end-to-end hedge fund in Python using Claude Code.
The five-step process:
- Idea generation & hypothesis: describe a market inefficiency (e.g. crypto opening range breakout) and let Claude propose statistical tests, variables, and a structured research proposal with entry/exit criteria
- Data & feature engineering: have Claude write pipelines across tick, order book, and alternative data; generate z-scores, volatility regimes, cross-asset correlations; automate cleaning and scaling
- Backtesting & validation: realistic assumptions (slippage, fees), in-sample plus walk-forward out-of-sample tests, Sharpe/Sortino/max drawdown/win rate metrics
- Optimization & stress testing: parameter optimization matrices to find stable regions, Monte Carlo simulations of thousands of worst-case scenarios, detecting overfitting and p-hacking via backtest distributions
- Research report: automated HTML/PDF report with equity curves, parameter stability heatmaps, and a Go/No-Go deployment verdict
Tips: start simple (complex models overfit), guard against survivorship and look-ahead bias, expect non-linear iteration, and only add ML signal combination after validating simple alpha.
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