General

backtesting-frameworks - Claude MCP Skill

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

SEO Guide: Enhance your AI agent with the backtesting-frameworks tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to build robust, production-grade backtesting systems that avoid common pitfalls and produce reliable s... Download and configure this skill to unlock new capabilities for your AI workflow.

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Documentation

SKILL.md
# 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.

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Information

Repository
arlenagreer/claude_configuration_docs
Author
arlenagreer
Last Sync
5/10/2026
Repo Updated
5/7/2026
Created
4/10/2026

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