institutional-flow-tracker

Analyze 13F filings data to identify stocks with significant institutional ownership changes.

2|Updated Jun 14, 2026
One-click install
npx skills add https://github.com/IhsanDanish25/claude-trading-skills --skill institutional-flow-tracker-ihsandanish25
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: institutional-flow-tracker
Source: https://github.com/IhsanDanish25/claude-trading-skills/tree/main/skills/institutional-flow-tracker
Command: npx skills add https://github.com/IhsanDanish25/claude-trading-skills --skill institutional-flow-tracker-ihsandanish25

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you track institutional investor ownership changes and identify trends in smart money accumulation and distribution, providing insights into potential market movements.

Core Features & Use Cases

  • Stock Screening: Identify stocks with significant institutional ownership changes.
  • Deep Dive Analysis: Analyze specific stocks for detailed institutional ownership trends.
  • Institution Tracking: Monitor portfolio changes of specific hedge funds or mutual funds.
  • Signal Quality Framework: Evaluate the strength of institutional signals using a tier-based system.
  • Multi-Quarter Trends: Identify sustained accumulation or distribution patterns over multiple quarters.
  • Concentration Analysis: Assess ownership concentration risk.
  • FMP API Integration: Access 13F filing data using the Financial Modeling Prep API.
  • Use Case: Use this Skill to validate an investment idea by checking if smart money agrees with your thesis, or to identify potential opportunities before they become mainstream.

Quick Start

Use the institutional-flow-tracker skill to screen for stocks with significant institutional ownership changes in the Technology sector.

Frequently Asked Questions about institutional-flow-tracker

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I track institutional ownership changes using 13F filings?

You can track institutional ownership changes by analyzing 13F filings data to identify stocks with significant accumulation or distribution trends. This approach screens for smart money movements, applies a tier-based signal quality framework, and assesses ownership concentration risk for portfolio management.

Do I need an FMP API key to analyze institutional investor flows?

Yes, an FMP API key is required to access 13F filing data for institutional flow analysis. You also need Python 3.8 or higher and the requests library to run the scripts that identify multi-quarter institutional ownership trends and evaluate signal quality.

Can I monitor specific hedge fund portfolio changes over multiple quarters?

Yes, you can monitor specific hedge fund or mutual fund portfolio changes over multiple quarters. The skill identifies sustained accumulation or distribution patterns and applies a tier-based signal quality framework to evaluate the strength of institutional ownership signals.

What is the best way to identify smart money trends before they become mainstream?

Analyzing 13F filings data is an effective way to identify smart money trends early. By tracking multi-quarter institutional ownership changes and applying a signal quality framework, you can spot sustained accumulation patterns and validate investment ideas before they reach mainstream awareness.

Does institutional flow tracking work for risk assessment and concentration analysis?

Yes, institutional flow tracking supports risk assessment through ownership concentration analysis. By evaluating 13F filings data for significant institutional ownership changes, you can assess concentration risk and monitor how smart money distribution patterns impact your portfolio management strategy.