
Institutional Flow Tracker
Tracks institutional investor activity through 13F SEC filings to spot where hedge funds and mutual funds are deploying capital before major price moves. You get quarterly ownership changes, institutional holder counts, and concentration analysis for any stock. Useful for validating investment ideas or discovering new opportunities, though the 45-day reporting lag means this won't help with short-term trades. The screening workflow is solid: scan for stocks with significant institutional changes, deep dive on specific holdings, then cross-reference with your other research. One caveat: tracking specific institutions like Buffett or Cathie Wood requires external tools since the FMP API organizes data by stock, not by fund.
- skills.sh installs
- 3.8K
- GitHub stars
- 3.7K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add tradermonty/claude-trading-skills --skill institutional-flow-tracker --agent claude-codeInstalls into .claude/skills of the current project.
Files
Institutional Flow Tracker
Overview
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.
Prerequisites
- FMP API Key: Set
FMP_API_KEYenvironment variable or pass--api-keyto scripts - Python 3.9+: Required for running analysis scripts
- Dependencies:
pip install requests(scripts handle missing dependencies gracefully)
When to Use This Skill
Sponsors
Details
- Repository
- github.com/tradermonty/claude-trading-skills
- Categories
- Rust, Finance & Trading
- First seen
- May 16, 2026
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