alpha-backtest

Backtest single- and multi-factor portfolios with gate checks and IS/OOS evaluation.

81|13|Updated Apr 3, 2026

Search Tags:#portfolio #robustness #backtest #quant #factor #gate-check

Ready to run

npx skills add https://github.com/VernonOY/alpha-skills --skill alpha-backtest

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: alpha-backtest
Source: https://github.com/VernonOY/alpha-skills/tree/main/skills/alpha-backtest
Command: npx skills add https://github.com/VernonOY/alpha-skills --skill alpha-backtest

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Backtest engine for single- and multi-factor portfolios enables rigorous evaluation with gate checks, ensuring robust strategy validation.

Core Features & Use Cases

Single-factor and multi-factor backtesting with deterministic gate checks.
IS/OOS evaluation, portfolio construction, turnover accounting, and performance metrics.
Interactive backtest setup and comprehensive reporting, including NAV, drawdown, and monthly performance.

Quick Start

Run a backtest on your selected factors to evaluate performance and stability across markets.

Frequently Asked Questions about alpha-backtest

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I backtest a multi-factor portfolio with gate checks?▼

The backtest engine evaluates single-factor and multi-factor portfolios using in-sample and out-of-sample evaluation, portfolio construction, turnover accounting, and detailed performance metrics like NAV and drawdown.

How does in-sample and out-of-sample evaluation work in a quant backtest?▼

IS/OOS evaluation splits historical data to validate factor strategies on unseen segments, ensuring portfolio robustness by comparing in-sample training performance against out-of-sample testing results.

Do I need a data-loading pipeline to run a factor backtest?▼

Yes, running a factor backtest requires a data-loading pipeline, factor definitions, a backtest engine, and gate-configured rules sourced from your project config to process the evaluation.

What metrics are included in portfolio backtest performance reporting?▼

Performance reporting includes NAV, drawdown, and monthly performance metrics, alongside turnover accounting, to provide a comprehensive view of factor portfolio stability.

Can I test a single-factor strategy using a multi-factor backtest engine?▼

Yes, the backtest engine supports both single-factor and multi-factor strategies, applying the same deterministic gate checks and IS/OOS evaluation to evaluate individual factor performance.

Why use gate checks for quantitative factor backtesting?▼

Gate checks apply deterministic rules during portfolio construction to ensure rigorous strategy validation, preventing weak factor models from passing evaluation stages.