Individual skill

residual-edge-analyzer

Separate a strategy return series into declared baseline exposure and residual edge with returns-based OLS attribution, HAC inference, rolling stability, alternate-baseline sensitivity, and regime breakdowns. Use when evaluating whether backtest, out-of-sample, or live returns contain independent alpha beyond market, equal-weight, momentum, sector, or user-supplied factor returns; when explaining whether a drawdown came from baseline exposure or strategy-specific behavior; or when a strategy needs an attribution quality gate after backtesting. Do not use for holdings-based Brinson attribution, feature-level Shapley explanations, or analysis from summary metrics without a dated return series.

skills/residual-edge-analyzer/SKILL.md

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# Residual Edge Analyzer

## Overview

Test whether a strategy's apparent performance survives explicit comparison with
predeclared baseline return series. Produce an auditable JSON artifact and a concise
Markdown report without fetching data or changing trading exposure.

Treat this as a falsification gate after `backtest-expert`, not as trade authorization.

## Prerequisites

- Use Python 3.9+.
- Prepare one CSV containing an ISO date, strategy return, and every baseline return on
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