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.
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.
Signals
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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