alphagbm-bps-backtest
alphagbm-bps-backtest is an Investment analysis & markets skill for AI agents, published by AlphaGBM in the skills repository on GitHub. Skillspace rates alphagbm-bps-backtest D (57/100) and it passed the safety scan; the rating is based on static analysis only.
Full walk-forward Bull Put Spread backtest over ~8 years of daily history. Runs both the signal (FearScore ≥ 60 entry) version AND a no-signal control in the same request, so you can quantify whether the fear-entry rule actually delivers alpha for this ticker under your parameters. Returns equity curve, 4 KPIs (annualized return / win rate / max drawdown / Sharpe), trade ledger, and a plain-language takeaway. Triggers: "backtest BPS on QQQ", "bull put spread backtest", "does FearScore work on SPY", "what DTE for BPS", "optimal bull put spread delta", "BPS strategy backtest", "credit spread backtest", "backtest short put spread"
- Grade
- D
- Quality
- 57 / 100
- Safety
- Passed
- GitHub stars
- 1,381
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
- 79 / 100
- Maturity
- Basic: a single SKILL.md
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.