Institutional Flow Tracker

Track institutional investor ownership changes and portfolio flows using 13F filings data to identify "smart money" accumulation and distribution patterns.

Overview

Institutional Flow Tracker analyzes SEC 13F filings to discover stocks where sophisticated investors (hedge funds, mutual funds, pension funds) are accumulating or distributing positions. By following where institutional money flows, you can:

• Discover opportunities before they become mainstream
• Validate investment ideas by checking if smart money agrees
• Get early warnings when quality investors exit positions
• Follow superinvestors like Warren Buffett, Seth Klarman, Bill Ackman

Key Insight: Institutional investors manage trillions of dollars and conduct extensive research. Their collective actions often precede major price movements by 1-3 quarters.

Features

✅ Stock Screening - Find stocks with significant institutional ownership changes (>10-15% QoQ) ✅ Deep Dive Analysis - Detailed quarterly trends, top holders, position changes for individual stocks ✅ Institution Tracking - Follow specific hedge funds/mutual funds portfolio moves ✅ Signal Quality Framework - Tier-based weighting system (superinvestors > active funds > index funds) ✅ Multi-Quarter Trends - Identify sustained accumulation/distribution (3+ quarters) ✅ Concentration Analysis - Assess ownership concentration risk ✅ FMP API Integration - Free tier (250 calls/day) sufficient for quarterly reviews

Prerequisites

Required: FMP API Key

This skill uses Financial Modeling Prep (FMP) API to access 13F filing data.

Setup:

# Set environment variable (recommended)
export FMP_API_KEY="your_key_here"

# Or provide via command-line when running scripts
python3 scripts/track_institutional_flow.py --api-key YOUR_KEY

Get API Key:

1. Visit: https://financialmodelingprep.com/developer/docs
2. Sign up for free account (250 requests/day)
3. Copy your API key

API Usage:

• Free tier: 250 requests/day (sufficient for analyzing 30-50 stocks quarterly)
• Each stock analysis uses 1-2 API calls
• Quarterly review workflow: ~50-100 API calls total

Installation

No installation required beyond Python 3 and the requests library:

pip install requests

Usage

1. Screen for Stocks with Institutional Changes

Find stocks with significant institutional activity:

Quick scan (top 50 stocks):

python3 institutional-flow-tracker/scripts/track_institutional_flow.py \
  --top 50 \
  --min-change-percent 10

Sector-focused screening:

python3 institutional-flow-tracker/scripts/track_institutional_flow.py \
  --sector Technology \
  --min-institutions 20

Custom screening:

python3 institutional-flow-tracker/scripts/track_institutional_flow.py \
  --min-market-cap 2000000000 \
  --min-change-percent 15 \
  --top 100 \
  --output institutional_results.json

Output: Markdown report with top accumulators/distributors, detailed metrics, interpretation guide

2. Deep Dive on Specific Stock

Comprehensive analysis of institutional ownership for a single stock:

python3 institutional-flow-tracker/scripts/analyze_single_stock.py AAPL

Extended history (12 quarters):

python3 institutional-flow-tracker/scripts/analyze_single_stock.py MSFT --quarters 12

Output: Detailed report with quarterly trends, new/increased/decreased/closed positions, concentration analysis

3. Track Specific Institutional Investors

Follow portfolio changes of specific hedge funds or investment firms:

# Track Warren Buffett's Berkshire Hathaway
python3 institutional-flow-tracker/scripts/track_institution_portfolio.py \
  --cik 0001067983 \
  --name "Berkshire Hathaway"

# Track Cathie Wood's ARK Investment Management
python3 institutional-flow-tracker/scripts/track_institution_portfolio.py \
  --cik 0001579982 \
  --name "ARK Investment Management"

Finding CIK (Central Index Key):

• Search SEC EDGAR: https://www.sec.gov/cgi-bin/browse-edgar
• Or use FMP API institutional search

Output: Current portfolio holdings, new positions, exits, largest changes

Signal Interpretation Framework

Strong Buy Signal (95th percentile)

Criteria:

• Institutional ownership increasing >15% QoQ
• 3+ consecutive quarters of accumulation
• Multiple Tier 1/2 investors buying (clustering score >60)
• Quality long-term investors adding positions

Action: BUY with conviction (2-5% portfolio position)

Moderate Buy Signal (75th percentile)

Criteria:

• Institutional ownership increasing 7-15% QoQ
• 2 consecutive quarters of accumulation
• Mix of quality buyers

Action: BUY with moderate conviction (1-3% position)

Neutral Signal

Criteria:

• Institutional ownership change <5% QoQ
• No clear trend
• Mixed buyer/seller activity

Action: HOLD or decide based on other factors

Moderate/Strong Sell Signal

Criteria:

• Institutional ownership decreasing 7-15% QoQ (moderate) or >15% (strong)
• 2-3+ consecutive quarters of distribution
• Quality investors exiting

Action: TRIM/SELL positions, avoid new entries

Institutional Investor Quality Tiers

Tier 1 - Superinvestors (Weight: 3.0-3.5x):

• Warren Buffett (Berkshire Hathaway)
• Seth Klarman (Baupost Group)
• Bill Ackman (Pershing Square)
• David Tepper (Appaloosa Management)
• Patient capital, long-term oriented, concentrated portfolios

Tier 2 - Quality Active Managers (Weight: 2.0-2.5x):

• Fidelity Management & Research
• T. Rowe Price Associates
• Dodge & Cox
• Wellington Management
• Research-driven, solid track records

Tier 3 - Average Institutional (Weight: 1.0-1.5x):

• Regional mutual funds
• Most pension funds
• Benchmark-aware, committee-driven

Tier 4 - Passive/Mechanical (Weight: 0.0-0.5x):

• Index funds (Vanguard, BlackRock, State Street)
• Momentum/quant funds
• No fundamental views, follow index/price action

Workflow Examples

Quarterly Portfolio Review

Objective: Monitor institutional support for your holdings

1. Run institutional analysis on each holding after 13F filing deadlines
2. Flag positions with deteriorating institutional support
3. Re-evaluate thesis for positions showing Strong Sell signals
4. Consider trimming/exiting if quality investors are distributing

13F Filing Deadlines:

• Q1 (Jan-Mar): Mid-May
• Q2 (Apr-Jun): Mid-August
• Q3 (Jul-Sep): Mid-November
• Q4 (Oct-Dec): Mid-February

New Position Validation

Objective: Validate stock ideas with institutional data

1. Run fundamental analysis on stock candidate
2. Check institutional flow signal (accumulation or distribution?)
3. If Strong Buy signal: Gain confidence, initiate position
4. If Strong Sell signal: Reconsider or avoid
5. If Neutral: Decide based on fundamentals and technicals

Smart Money Replication

Objective: Follow superinvestor portfolio moves

1. Track Berkshire Hathaway, Baupost, other Tier 1 investors quarterly
2. Identify new positions or significant increases
3. Research the stock to understand their thesis
4. Initiate positions in highest-conviction ideas

Sector Rotation Detection

Objective: Identify early sector rotation trends

1. Calculate aggregate institutional flow by sector
2. Rank sectors by net institutional inflow/outflow
3. Compare to expected patterns based on economic cycle
4. Overweight sectors with institutional accumulation
5. Underweight/avoid sectors with distribution

Integration with Other Skills

Value Dividend Screener + Institutional Flow:

1. Run Value Dividend Screener to find candidates
2. For each candidate, check institutional flow
3. Prioritize stocks with Strong Buy institutional signal

US Stock Analysis + Institutional Flow:

1. Run comprehensive fundamental analysis
2. Validate with institutional ownership trends
3. If institutions selling despite strong fundamentals: investigate discrepancy

Portfolio Manager + Institutional Flow:

1. Fetch current portfolio via Alpaca
2. Run institutional analysis on each holding quarterly
3. Flag positions with deteriorating institutional support
4. Rebalance away from Strong Sell signals

Technical Analyst + Institutional Flow:

1. Identify technical setup (e.g., breakout, basing pattern)
2. Check if institutional buying confirms
3. Higher conviction if both technical + institutional signals align

Data Limitations

Reporting Lag:

• 13F filings due 45 days after quarter end
• Positions as of quarter-end snapshot
• Current positions may have changed since filing

Coverage:

• Only institutions managing >$100M file 13F
• Excludes individual investors and smaller funds
• Only long equity positions (no shorts, options, bonds)

Best Practices:

• Use as confirming indicator, not leading signal
• Look for multi-quarter trends (3+ quarters)
• Weight quality institutions heavily (Tier 1 > Tier 4)
• Combine with fundamental and technical analysis
• Update quarterly, not daily

Reference Materials

The references/ folder contains comprehensive guides:

• 13f_filings_guide.md - Understanding 13F SEC filings, reporting requirements, data quality considerations, common pitfalls
• institutional_investor_types.md - Different investor types (hedge funds, mutual funds, etc.), their strategies, quality tiers, weighting framework
• interpretation_framework.md - Systematic approach to interpreting signals, decision trees, multi-factor integration

Script Parameters Reference

track_institutional_flow.py

Required:

• --api-key or FMP_API_KEY environment variable

Optional:

• --top N - Return top N stocks (default: 50)
• --min-change-percent X - Minimum % ownership change (default: 10)
• --min-market-cap X - Minimum market cap in dollars (default: 1B)
• --sector NAME - Filter by sector
• --min-institutions N - Minimum institutional holders (default: 10)
• --sort-by FIELD - Sort by ownership_change/institution_count_change/dollar_value_change
• --output FILE - Output JSON file

analyze_single_stock.py

Required:

• Stock ticker symbol (positional argument)
• --api-key or FMP_API_KEY environment variable

Optional:

• --quarters N - Number of quarters to analyze (default: 8)
• --output FILE - Output markdown report path

track_institution_portfolio.py

Required:

• --cik CIK - Central Index Key of institution
• --name NAME - Institution name for report
• --api-key or FMP_API_KEY environment variable

Optional:

• --top N - Show top N holdings (default: 50)
• --output FILE - Output markdown report path

Notable Institutional Investors to Track

Tier 1 Superinvestors

Tier 2 Quality Active Managers

Support & Resources

• FMP API Documentation: https://financialmodelingprep.com/developer/docs
• SEC 13F Filings Database: https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&type=13F
• WhaleWisdom (free tier): https://whalewisdom.com

License

Educational and research purposes. See repository license for details.