fundamental-universes
fundamental-universes is an Investment analysis & markets skill for AI agents, published by QuantConnect in the Documentation repository on GitHub. Skillspace rates fundamental-universes D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Use when selecting or screening a QuantConnect/LEAN Equity universe on Morningstar fundamentals — the py`add_universe(...)`cs`AddUniverse(...)` pattern, the `Fundamental` object and how its data is organized, period accessors for `MultiPeriodField` values, and year-over-year deltas. Covers the Piotroski F-Score, Altman Z-score, Magic Formula, Graham filters, and custom screens. For the exact path of any field, it points to the equity-fundamental-data skill. Skip when — the universe is index/ETF-constituent only (py`self.universe.etf(...)`cs`Universe.ETF(...)`).
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 257
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
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- 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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