wq-alpha-research
wq-alpha-research is an Investment analysis & markets skill for AI agents, published by QuantML-Research in the wq-alpha-research repository on GitHub. Skillspace rates wq-alpha-research C (72/100) and it passed the safety scan; the rating is based on static analysis only.
Use for WorldQuant BRAIN alpha research: designing WQ Alpha expressions, selecting fields/operators, diagnosing simulation and IS check failures, tuning Sharpe/Fitness/Turnover, submitting alphas, and building low-correlation alpha portfolios. Also use for 中文 requests about WorldQuant、BRAIN、WQ Alpha、因子表达式、回测、提交、换手、Fitness、Sharpe.
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 312
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 92 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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