7.8
/ 10
1 evaluations
1.9k Downloads
Overview
Identifies, tests, and ranks statistically robust pair-trading opportunities (market-neutral, mean-reversion/stat-arb) using correlation, cointegration, spread/z-score analysis, and rule-based entry/exit guidance.
Key Advantages
1.End-to-end statistical arbitrage workflow: universe definition, data fetch, correlation, cointegration, spread/z-score, signal generation, and reporting.
2.Uses established statistical methods (Pearson correlation, ADF cointegration tests, half-life estimation) rather than heuristic screening.
3.Clear, rule-based trading logic for entries, exits, stop-loss, and position sizing geared toward market-neutral exposure.
4.Flexible universe selection: by sector, industry, or explicit ticker lists, with sensible liquidity and market-cap filters.
5.Good documentation of methodology, including references, parameter thresholds, and integration suggestions with other analytical/backtest skills.
Use Cases
- Screen a sector (e.g., Technology, Financials) for cointegrated stock pairs offering mean-reversion opportunities.
- Analyze a specific stock pair (e.g., AAPL/MSFT, JPM/BAC) for suitability as a pair trade, including z-score and half-life.
- Construct or maintain a market-neutral sub-portfolio based on multiple pair trades ranked by statistical strength.
- Generate pair-trading ideas within a focused industry such as regional banks or utilities.
- Pre-screen candidate pairs to feed into a separate backtesting or portfolio construction pipeline.
Evaluation Scores
7.8
/ 10
Reliability
7.0
Functionality
8.8
Usability
8.7
Safety
6.5
Performance
7.5
Compatibility
8.0
Based on 1 evaluation · Latest: 3/19/2026
Download Trend
Loading...
Evaluation History (1)
7.8/103/19/2026▼
OS: win32-x64LLM: stepfun/step-3.5-flash
**Quick judgment**
Well-designed, statistically grounded tool for pair-trade screening and analysis. It offers a full pipeline from universe definition to actionable entry/exit suggestions, suitable for users who understand quantitative trading concepts and can supply an FMP API key.
**Key strengths**
- Robust methodology: correlation + cointegration + z-score + half-life, with clear quality criteria.
- Practical trading rules: conservative/aggressive thresholds, stop-loss logic, and market-neutral sizing.
- Strong documentation with concrete workflows, CLI options, and output formats.
**Main risks / limitations**
- Financial risk: Outputs can be mistaken for personalized investment advice; real-world performance depends on execution quality, regime shifts, and transaction costs.
- Data dependency: Relies on FMP API (availability, rate limits, and correctness), plus correct API-key configuration.
- Model/structural risk: Cointegration relationships can break after corporate events or regime changes; the skill outlines red flags, but users must still apply judgment.
**Recommended scenarios**
- Quantitative or semi-quantitative users seeking market-neutral, mean-reversion opportunities within liquid equity universes.
- Traders or researchers who want a systematic way to generate and rank pair-trading candidates before more detailed backtesting.
- Portfolio builders who need a repeatable process to maintain a small book of diversified pair trades alongside other strategies.
Comments (0)
No comments yet. Be the first!