the-pairs-trader

Identify cointegrated asset pairs and compute hedge ratios for mean-reverting spread trading.

13|3|Updated Mar 31, 2026
One-click install
npx skills add https://github.com/cubexch/ai-fund --skill the-pairs-trader
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: the-pairs-trader
Source: https://github.com/cubexch/ai-fund/tree/main/skills/pairs-trader
Command: npx skills add https://github.com/cubexch/ai-fund --skill the-pairs-trader

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identify and trade cointegrated asset pairs using statistical arbitrage to exploit mean-reverting spreads.

Core Features & Use Cases

  • Pair discovery: Scan markets to identify cointegrated pairs with strong correlation and mean-reversion signals.
  • Hedge ratio optimization: Compute rolling beta to size legs correctly.
  • Spread monitoring & signals: Real-time spread z-score, entry/exit decisions, risk controls.
  • Execution framework: Simultaneous long/short entries with safeguards and P&L attribution.

Quick Start

Provide two assets to compare and I will compute the spread, hedge ratio, and entry signals.

Frequently Asked Questions about the-pairs-trader

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

FAQPage Schema
How do I identify cointegrated asset pairs for statistical arbitrage?

To identify cointegrated asset pairs for statistical arbitrage, scan connected markets to find pairs exhibiting strong correlation and mean-reversion signals. This Skill automates pair discovery by testing asset combinations to isolate those with statistically significant cointegration suitable for spread trading.

What is the best way to compute the hedge ratio for mean-reversion spread trading?

Computing the hedge ratio for mean-reversion spread trading is done by calculating a rolling beta between the two assets. This optimizes leg sizing for the pair, ensuring the long and short positions are correctly balanced to construct a stationary mean-reverting spread.

How do you generate entry and exit signals for a pairs trading strategy?

Entry and exit signals for a pairs trading strategy are generated by monitoring the real-time spread z-score. When the z-score deviates significantly from its mean, it triggers entry or exit decisions, applying strict risk controls to manage simultaneous long and short executions.

Can I apply pairs trading to any asset pair across different markets?

Yes, you can apply pairs trading to any asset pair across connected markets. The Skill requires only two assets to compare, computing the spread, dynamic hedge ratio, and entry signals universally, provided the markets support real-time spread monitoring.

Does statistical arbitrage pair trading work for assets without strict correlation?

Statistical arbitrage pair trading relies on cointegration rather than simple correlation. If assets lack a statistically significant cointegrating relationship and mean-reverting spread behavior, the strategy's entry and exit signals lose validity and should not be traded.