Strategy Validator

Skill Verified Active

Validate trading strategies for overfitting using 4 statistical tests (DSR, Walk-Forward, Regime, CPCV)

Purpose

To help traders objectively assess the statistical robustness of their trading strategies and avoid overfitting by providing rigorous validation and clear explanations.

Features

Validates trading strategies using DSR, Walk-Forward, Regime, and CPCV tests.
Interprets complex statistical results into plain language explanations.
Generates a detailed HTML report of the validation analysis.
Provides actionable recommendations based on the validation outcome.
Supports both QuantConnect trade log and general returns CSV formats.

Use Cases

Use when you have backtest results for a trading strategy and want to know if they are statistically sound or likely overfitted.
Use to get a second opinion on strategy performance from a quantitative analyst's perspective.
Use to identify strategies that perform well only in specific market conditions or are sensitive to data variations.
Use to gain confidence in a strategy before paper trading or live deployment.

Non-Goals

Providing financial advice or specific buy/sell/hold recommendations.
Executing trades or managing trading accounts.
Performing live trading based on strategy validation.
Explaining the underlying mathematical formulas of the statistical tests in detail.

Installation

npx skills add mnemox-ai/tradememory-protocol

Runs the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.

Quality Score

Verified

99 /100

Analyzed about 19 hours ago

Trust Signals

Last commitabout 1 month ago

GitHub owner mnemox-ai

Stars877

LicenseMIT

Websitemnemox.ai

Status

View Source

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