institutional-flow-tracker
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.
npx skills add BaggaT236/AI-Trading-Skills --skill institutional-flow-tracker --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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_KEY` environment variable or pass `--api-key` to scripts - **Python 3.9+:** Required for running analysis scripts - **Dependencies:** `pip install requests` (scripts handle missing dependencies gracefully) ## When to Use This Skill Use this skill when: - Validating investment ideas (checking if smart money agrees with your thesis) - Discovering new opportunities (finding stocks institutions are accumulating) - Risk assessment (identifying stocks institutions are exiting) - Portfolio monitoring (tracking in
- Overview
- Prerequisites
- When to Use This Skill
- Data Sources & Requirements
- Required: FMP API Key
- Analysis Workflow
- Step 1: Identify Stocks with Significant Institutional Changes
- Step 2: Deep Dive on Specific Stocks
- Step 3: Track Specific Institutional Investors
- Step 4: Interpretation and Action
- Step 5: Portfolio Application
- Output Format
- Data Reliability Grades
- Limitations and Caveats
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 python3 scripts/track_institutional_flow.py \ python3 scripts/analyze_single_stock.py AAPL Analyze a stock and look for a specific institution in the output python3 institutional-flow-tracker/scripts/analyze_single_stock.py AAPL Then search the report for "Berkshire" or "ARK" in the Top 20 holders table
What does the institutional-flow-tracker skill do?
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.
How do I install it?
Run `npx skills add BaggaT236/AI-Trading-Skills --skill institutional-flow-tracker --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From BaggaT236/AI-Trading-Skills, a repository with 118 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.