trade-execution
trade-execution is an Investment analysis & markets skill for AI agents, published by JoelLewis in the finance_skills repository on GitHub. Skillspace rates trade-execution C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Guide the design, evaluation, and monitoring of trade execution quality and best execution practices. Use when assessing best execution obligations under FINRA Rule 5310 or RIA fiduciary duty, designing smart order routing across exchanges and dark pools, selecting execution algorithms (VWAP, TWAP, implementation shortfall, POV), building transaction cost analysis (TCA) for pre-trade estimation or post-trade measurement, analyzing bid-ask spread decomposition or market impact or information leakage, conducting best execution committee reviews, evaluating payment for order flow (PFOF) arrangements, interpreting Rule 605/606 reports, or handling fixed income or ETF execution via RFQ protocols. Also covers Reg NMS Order Protection Rule and venue fee structures.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 151
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 99 / 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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