factor-prune
by community
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Description
因子筛选（Factor Prune）技能 —— 在 stock-factor 技能产出初始因子清单（IC/IR 评估结果）后， 对有效因子做贪心前向选择 + 去相关筛选，精选出一组高有效性、低冗余的因子集合。 算法：汇总所有因子 → 按 |IR|/IC/time_potential 筛选有效 → 按有效性降序 → 贪心提取最优因子 → 与剩余因子做相关性评估 → 移除高相关冗余 → 提取下一个 → 如此反复直到收敛或达到上限。 技能提供两套主实现： (1) 文件驱动六步法 `prune_flow.py`（推荐）——脚本直连 QuantAll 自己跑完整个循环，临时文件统一在内存外的 state
Install factor-prune
Run this in your OpenClaw agent to add factor-prune from the ClawHub registry.
openclaw skills install factor-pruneRequires ClawHub registry access. Review the security analysis below before installing.
Security Analysis
Open Source
Code is publicly available for audit.
Community Verified
Reviewed by the ClawHub community.
Community Reviews
Real user ratings only — separate from the editorial assessment and ClawHub signal.
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Frequently asked questions
Is factor-prune safe to install?
factor-prune has a SkillsReview security score of 50/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.
How much does factor-prune cost?
factor-prune is free to install for OpenClaw via ClawHub.
What are the best alternatives to factor-prune?
You can compare factor-prune side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.
How do I install factor-prune?
Install factor-prune from ClawHub at clawhub.ai/skills/factor-prune, or use the install action on this page to copy the command for your OpenClaw agent.
Community Signal
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