MR
Mayur Rathi
@mayurrathi
⭐ 40.7k GitHub stars

Backtesting Frameworks

Backtesting Frameworks is an code AI skill with a core value of Build robust backtesting systems for trading strategies with proper handling of look-ahead bias, survivorship bias, and transaction costs. It helps developers solve real-world problems in the code domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

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 strateg...

Last verified on: 2026-07-07

Quick Facts

Category code
Works With Claude
Source sickn33/antigravity-awesome-skills
Stars ⭐ 40.7k
Last Verified 2026-07-07
Risk Level Low
mkdir -p ./skills/backtesting-frameworks && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/backtesting-frameworks/SKILL.md -o ./skills/backtesting-frameworks/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

# Backtesting Frameworks


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


Use this skill when


- Developing trading strategy backtests

- Building backtesting infrastructure

- Validating strategy performance and robustness

- Avoiding common backtesting biases

- Implementing walk-forward analysis


Do not use this skill when


- You need live trading execution or investment advice

- Historical data quality is unknown or incomplete

- The task is only a quick performance summary


Instructions


- Define hypothesis, universe, timeframe, and evaluation criteria.

- Build point-in-time data pipelines and realistic cost models.

- Implement event-driven simulation and execution logic.

- Use train/validation/test splits and walk-forward testing.

- If detailed examples are required, open `resources/implementation-playbook.md`.


Safety


- Do not present backtests as guarantees of future performance.

- Avoid providing financial or investment advice.


Resources


- `resources/implementation-playbook.md` for detailed patterns and examples.

🎯 Best For

  • QA engineers
  • Developers writing unit tests
  • UI designers
  • Product designers
  • Claude users

💡 Use Cases

  • Generating test cases for edge conditions
  • Writing integration test suites
  • Generating component mockups
  • Creating design system tokens

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply Backtesting Frameworks to Your Work

    Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.

  4. 4

    Review and Refine

    Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.

❓ Frequently Asked Questions

Does this generate test mocks?

Many testing skills include mock generation. Check the install command and skill content for details.

Does this work with Figma?

Some design skills integrate with Figma plugins. Check the Works With section for supported tools.

Is Backtesting Frameworks compatible with Cursor and VS Code?

Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.

Do I need specific dependencies for Backtesting Frameworks?

Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.

How do I install Backtesting Frameworks?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/backtesting-frameworks/SKILL.md, ready to use.

⚠️ Common Mistakes to Avoid

Not testing edge cases

AI tends to generate happy-path tests. Manually review for boundary conditions.

Skipping usability testing

AI-generated designs should be validated with real users before development.

Skipping validation

Always test AI-generated code changes, even for simple refactors.

Missing dependency updates

Check if the skill requires updated dependencies or new packages.

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