qmt-inner-backtest

qmt-inner-backtest is an Investment analysis & markets skill for AI agents, published by dfkai in the xtquantai repository on GitHub. Skillspace rates qmt-inner-backtest D (63/100) and it passed the safety scan; the rating is based on static analysis only.

根据策略描述、研报 PDF 或截图，解读因子/选股逻辑，基于 scripts/daily-factors-backtest.py 框架生成 QMT 内置日频因子回测脚本。用户提到 QMT 内置回测、因子选股回测、截面因子、 研报复现、handlebar 回测、after_init 预计算信号时使用。

Grade
D
Quality
63 / 100
Safety
Passed
GitHub stars
149

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.

View source on GitHubdfkai/xtquantai

Our review

Architecture
80 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

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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