overfitting-audit-mcp
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overfitting-audit-mcp
An MCP server that answers "is this edge real, or a testing-hundreds-of-variants artifact?" — implementing the Probability of Backtest Overfitting (CSCV method), Deflated Sharpe Ratio, Minimum Backtest Length, and purged/embargoed cross-validation splits.
The problem this solves
Testing enough parameter combinations against the same historical data will eventually produce a great-looking backtest by chance alone. Standard backtest metrics (Sharpe, win rate, profit factor) don't distinguish a genuine edge from the best-looking result out of hundreds of near-identical variants. This audits for that specific failure mode directly, rather than trusting a single strong-looking curve.
Related MCP server: backtest-reality-check
Tools
probability_of_backtest_overfitting
Combinatorially Symmetric Cross-Validation (CSCV) method — estimates the probability that a strategy's in-sample performance rank won't hold out-of-sample.
deflated_sharpe_ratio
Adjusts a Sharpe ratio for the number of trials run and the non-normality of returns, so it can't be inflated just by testing more variants.
minimum_backtest_length
The minimum number of independent trials/observations needed before a given Sharpe ratio is statistically meaningful at all.
purged_cv_split
Generates purged and embargoed cross-validation splits for time-series backtests, preventing the lookahead leakage that ordinary k-fold CV introduces on financial data.
Use it
Hosted (recommended): MCPize — free tier, paid Pro tier for higher limits.
Self-host:
npm install
node server.jsPart of the AlgoForge suite
Prop-firm and quant-validation tools for algo traders: prop-rules-mcp, trade-journal-mcp, payout-calc-mcp, econ-calendar-mcp, montecarlo-validator-mcp, walkforward-validator-mcp, pinescript-audit-mcp, backtest-cost-sensitivity-mcp, pinescript-mcp.
License
MIT
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Maintenance
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Plug in YOUR strategy and get a HULK-grade honesty report — deflated-Sharpe, PBO overfit, skew + war
Tells you whether a trading strategy's edge is distinguishable from luck.
Honest A-F grades for trading strategies, backtested on real out-of-sample data. No hype.
Walk-Forward Efficiency, parameter-stability scoring, and WFO window generation.
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