MCPInstall

backtesting-frameworks

Build robust backtesting systems for trading strategies with proper handling of look-ahead bias, survivorship bias, and transaction costs. Use when developing trading algorithms, validating strategies, or building backtesting infrastructure.

Installs
16.9K
Last 24h
+62
Trending rank
#2864
Security
Pass

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/wshobson/agents --skill backtesting-frameworks
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads backtesting-frameworks automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

Security audits

Independent scans of the skill's instructions and bundled files.

Gen Agent Trust Hub PassSAFE ·The skill provides standard, clean framework templates and code implementations for financial backtesting. No security vulnerabilities or malicious patterns were detected.
Socket PassNo alerts
Snyk PassLOW ·Risk: LOW · No issues
Runlayer PassNONE ·1 file scanned · No issues
ZeroLeaks PassLOW ·2 findings · Score: 80/100

SKILL.md

The instructions your agent reads when the skill is triggered.

Backtesting Frameworks

Build robust, production-grade backtesting systems that avoid common pitfalls and produce reliable strategy performance estimates.

When to Use This Skill

  • Developing trading strategy backtests
  • Building backtesting infrastructure
  • Validating strategy performance
  • Avoiding common backtesting biases
  • Implementing walk-forward analysis
  • Comparing strategy alternatives

Core Concepts

1. Backtesting Biases

BiasDescriptionMitigation
Look-aheadUsing future informationPoint-in-time data
SurvivorshipOnly testing on survivorsUse delisted securities
OverfittingCurve-fitting to historyOut-of-sample testing
SelectionCherry-picking strategiesPre-registration
TransactionIgnoring trading costsRealistic cost models

2. Proper Backtest Structure

Historical Data
      │
      ▼
┌─────────────────────────────────────────┐
│              Training Set               │
│  (Strategy Development & Optimization)  │
└─────────────────────────────────────────┘
      │
      ▼
┌─────────────────────────────────────────┐
│             Validation Set              │
│  (Parameter Selection, No Peeking)      │
└─────────────────────────────────────────┘
      │
      ▼
┌─────────────────────────────────────────┐
│               Test Set                  │
│  (Final Performance Evaluation)         │
└─────────────────────────────────────────┘

3. Walk-Forward Analysis

Window 1: [Train──────][Test]
Window 2:     [Train──────][Test]
Window 3:         [Train──────][Test]
Window 4:             [Train──────][Test]
                                     ─────▶ Time

Detailed worked examples and patterns

Detailed sections (starting with ## Implementation Patterns) live in references/details.md. Read that file when the navigation summary above is insufficient.

Best Practices

Do's

  • Use point-in-time data - Avoid look-ahead bias
  • Include transaction costs - Realistic estimates
  • Test out-of-sample - Always reserve data
  • Use walk-forward - Not just train/test
  • Monte Carlo analysis - Understand uncertainty

Don'ts

  • Don't overfit - Limit parameters
  • Don't ignore survivorship - Include delisted
  • Don't use adjusted data carelessly - Understand adjustments
  • Don't optimize on full history - Reserve test set
  • Don't ignore capacity - Market impact matters

FAQ

What does the backtesting-frameworks skill do?

Build robust backtesting systems for trading strategies with proper handling of look-ahead bias, survivorship bias, and transaction costs. Use when developing trading algorithms, validating strategies, or building backtesting infrastructure.

How do I install backtesting-frameworks?

Run npx skills add https://github.com/wshobson/agents --skill backtesting-frameworks in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/backtesting-frameworks/ (personal) or .claude/skills/backtesting-frameworks/ (project).

Which AI agents can use backtesting-frameworks?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is backtesting-frameworks safe to install?

Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk passed; Runlayer passed; ZeroLeaks passed. As with any skill, read the SKILL.md and bundled scripts before installing.

Who maintains backtesting-frameworks?

It is published by wshobson in wshobson/agents. It has 16,899 recorded installs.

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