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institutional-flow-tracker

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Status: Safe

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About This Skill

Use when validating an investment idea against institutional ownership, finding stocks institutions are accumulating or exiting, or tracking 13F smart-money flows.

Downloadable SKILL.md

Download SKILL.md and place it in your Syntic skills folder. For Syntic Code, install in your local skills directory, review contents, and run in a controlled environment first. Acknowledge the risk notice above to enable the download.

SKILL.md
---
name: institutional-flow-tracker
description: Use when validating an investment idea against institutional ownership, finding stocks institutions are accumulating or exiting, or tracking 13F smart-money flows.
category: Market & Macro
version: 1.0.0
tools: []
---

# Institutional Flow Tracker

Track institutional investor activity through 13F SEC filings to identify "smart money" flows into and out of stocks. Quarterly changes in institutional ownership can reveal accumulation ahead of major price moves, or flag risk when institutions are reducing positions. Institutions managing hedge fund, pension, and mutual fund capital collectively run trillions of dollars of research-driven capital, and their buying/selling patterns often precede significant price moves by 1-3 quarters.

## When to Use
- Validating an investment idea against institutional positioning
- Discovering stocks institutions are accumulating
- Risk assessment on stocks institutions are exiting
- Monitoring institutional support for existing holdings
- Following specific investors' known holdings (e.g. Buffett, Cathie Wood)
- Sector-rotation analysis via aggregate institutional flows

Not for: real-time/intraday signals (13F data has a 45-day reporting lag), micro-caps under roughly $100M market cap with negligible institutional interest, or short-term (<3 month) trading signals.

## Filing Schedule
13F filings are due quarterly, 45 days after quarter-end: Q1 (Jan-Mar) by mid-May, Q2 (Apr-Jun) by mid-August, Q3 (Jul-Sep) by mid-November, Q4 (Oct-Dec) by mid-February.

## Methodology

### Screening for Significant Changes
Use web_search / knowledge_base_search to pull aggregate 13F ownership summary data (current ownership %, quarter-over-quarter change in shares held, number of institutions holding, change in institution count, top holders) for the relevant universe — optionally filtered by sector, market cap, or minimum ownership-change threshold (a 10%+ QoQ change is a reasonable default screening bar).

### Deep Dive on a Single Stock
For a specific ticker, pull the 8-quarter (2-year) institutional ownership trend, the top ~20 institutional holders with position changes, concentration (top 10 holders' % of total institutional ownership), and which large holders are new/increasing/decreasing. Key read: ownership above ~70% suggests stability but limited room for new institutional buying; a rising ownership trend is bullish, falling is bearish; concentration above 50% in the top 10 holders is a risk if they sell together; and the presence of quality long-term holders (vs. momentum funds) matters as much as the raw percentage.

### Tracking a Specific Institution's Full Portfolio
Aggregate 13F data is generally organized by stock, not by institution, so full portfolio reconstruction for a named institution is not always practical from a single source — instead, check whether that institution appears among the top holders when analyzing a specific stock, or point the user to public 13F portfolio trackers (e.g. WhaleWisdom, SEC EDGAR, DataRoma) for full-portfolio views.

## Signal Strength Framework
- Strong Bullish: ownership up >15% QoQ, institution count up >10%, quality long-term holders adding, current ownership still <40% (room to grow), accumulation persisting across multiple quarters
- Moderate Bullish: ownership up 5-15% QoQ, net positive mix of buyers/sellers, ownership 40-70%
- Neutral: <5% change, similar buyer/seller counts, stable base
- Moderate Bearish: ownership down 5-15% QoQ, more sellers than buyers, ownership already >80% (limited new buyers)
- Strong Bearish: ownership down >15% QoQ, institution count down >10%, quality holders exiting, distribution persisting across multiple quarters, or a large concentrated holder selling

## Data Reliability Grading
Grade every read by coverage: Grade A — a comparable prior quarter exists and the stock has ≥50 institutional holders (dense coverage, safe for ranking); Grade B — comparable prior quarter exists with ≥10 holders (usable but thin, reference only); Grade C — no comparable prior quarter or <10 holders (exclude from screening, the change is not reliably measurable). Coverage (breadth of holders) is the quality signal that matters here, since aggregate summary data already reconciles quarter-over-quarter deltas across filing managers at the source.

## Limitations
- 45-day reporting lag — positions may have shifted since the filing date; treat as confirming, not leading
- Only institutions managing >$100M must file — excludes individual investors, smaller funds, and most international institutions
- Only long equity positions are reported — no shorts, options, or bonds; holdings are a quarter-end snapshot, and some positions can be confidentially delayed
- Correlation is not causation — combine with fundamentals and technical analysis rather than trading on this alone

## Application
For new positions: check institutional flow on the idea; institutional accumulation adds confidence, distribution is a reason to reconsider or reduce size. For existing holdings: review after each quarterly filing deadline as an early-warning system for distribution. As part of a broader screening workflow, run this after a fundamental or dividend screener has already narrowed the universe, and prioritize candidates showing institutional accumulation over ones showing distribution.

## Advanced Use Cases
- Insider + institutional combo: a particularly powerful signal when insiders and institutions are both accumulating the same name at the same time.
- Sector rotation detection: aggregate institutional flows by sector to spot early rotation before it shows up in price.
- Contrarian plays: quality names institutions are selling can be a value opportunity, but only with strong independent fundamental conviction — this is not a signal to buy purely because "smart money is out."
- Smart money validation: before sizing up a position meaningfully, check whether institutional flow agrees with the thesis, to either build confidence or surface an overlooked risk.

Bundle Download

Includes SKILL.md and bundled support files where provided. Risk acknowledgement is required.

Install Targets

Syntic App

  1. 1. Create a dedicated folder for this skill in your local skills library.
  2. 2. Place SKILL.md into that folder.
  3. 3. Restart Syntic and invoke this skill on matching tasks.

Syntic Code (CLI)

  1. 1. Save SKILL.md in your local Syntic Code skills directory.
  2. 2. Keep related files in the same skill folder.
  3. 3. Run in a safe environment and validate outputs.

Source

https://github.com/tradermonty/claude-trading-skills/blob/main/skills/institutional-flow-tracker/SKILL.md

Open Source Link
Market & Macro

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