backtesting-frameworks
Build robust, production-grade backtesting systems that avoid common pitfalls and produce reliable strategy performance estimates.
- License 许可
- MIT
- 最近更新
- 2026-04-14
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01 前言 Front Matter
- name
- backtesting-frameworks
- risk
- unknown
- source
- community
- date_added
- 2026-02-27
- description
- Build robust, production-grade backtesting systems that avoid common pitfalls and produce reliable strategy performance estimates.
02 资源文件 1
- 参考文档resources/implementation-playbook.md20.6 KB
03 SKILL.md 正文
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.mdfor detailed patterns and examples.
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