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Use this skill to track institutional investor ownership changes and portfolio flows using 13F filings data. Analyzes hedge funds, mutual funds, and other institutional holders to identify stocks with significant smart money accumulation or distribution. Helps discover stocks before major moves by following where sophisticated investors are deploying capital.
Passed 14 of 18 test cases with the skill, and 7 of 18 without it.
and 7 more in the full report
8 fixed9 passed either way5 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
Which reference guide document provides instructions on reading Form 13F filings, reporting obligations, and quarterly filing deadlines?
| Checked | Without skill | With skill |
|---|---|---|
| Names references/13f_filings_guide.md | Missed | Passed |
The instructions your model reads when the skill loads.
This skill tracks institutional investor activity through 13F SEC filings to identify "smart money" flows into and out of stocks. By analyzing quarterly changes in institutional ownership, you can discover stocks that sophisticated investors are accumulating before major price moves, or identify potential risks when institutions are reducing positions.
Key Insight: Institutional investors (hedge funds, pension funds, mutual funds) manage trillions of dollars and conduct extensive research. Their collective buying/selling patterns often precede significant price movements by 1-3 quarters.
Use this skill when:
Do NOT use when:
This skill uses Financial Modeling Prep (FMP) API to access 13F filing data:
Setup:
# Set environment variable (preferred)
export FMP_API_KEY=your_key_here
# Or provide when running scripts
python3 scripts/track_institutional_flow.py --api-key YOUR_KEY
API Tier Requirements:
test cases passed, vs 7 / 18 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.