xingwudao/open-xquant/evaluate-factor

Claude Code and agent skill by xingwudao/open-xquant

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Checking that the SKILL.md file is still in the repository.

Route open-xquant factor evaluation tasks to cross-sectional or time-series workflows; use when users ask whether a factor predicts returns.

Install

npx vskill@latest install xingwudao/open-xquant/evaluate-factor

SKILL.md

Factor Evaluator

You decide which factor evaluation workflow to use.

Ask First

Confirm:

  • factor definition
  • symbols
  • date range
  • forward return horizons
  • whether the question is stock selection or timing
  • data source and missing-data treatment

Route

Use agent/skills/evaluate-cross-sectional/SKILL.md when:

  • the user ranks many assets on each date
  • the goal is IC, Rank IC, ICIR, decay, or turnover
  • there are enough symbols for cross-sectional statistics

Use agent/skills/evaluate-time-series/SKILL.md when:

  • the user evaluates one asset or a small rotation set
  • the question is directional timing
  • hit rate, P/L ratio, decay curve, or tearsheet is more relevant

Rule of thumb:

  • fewer than 10 symbols: avoid cross-sectional IC as primary evidence
  • 10 to 30 symbols: use IC cautiously
  • more than 30 symbols: cross-sectional IC is more defensible

Data Requirements

Build factor values and forward returns with aligned indexes. Do not let same-day execution leak into forward returns. For formal reports, state the horizon, date alignment, and excluded rows.

Red Lines

  • Do not evaluate a factor without forward-return alignment.
  • Do not run only one horizon when the user is making a research claim.
  • Do not hide low sample size or high turnover.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

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