us-etf-flow

Analyze US ETF flow data to reveal institutional capital movements.

Updated Apr 10, 2026
One-click install
npx skills add https://github.com/ebrahim-sani/trading-automation --skill us-etf-flow-ebrahim-sani
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: us-etf-flow
Source: https://github.com/ebrahim-sani/trading-automation/tree/main/vibe-trading/agent/src/skills/us-etf-flow
Command: npx skills add https://github.com/ebrahim-sani/trading-automation --skill us-etf-flow-ebrahim-sani

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Institutional investors move large sums through ETF creations and redemptions, but traditional data sources like 13F filings are delayed, leaving traders without timely insight into capital flows and sector rotation.

Core Features & Use Cases

  • Broad market flow signals: Interprets SPY, QQQ, IWM inflows/outflows to assess overall market risk appetite.
  • Sector rotation analysis: Calculates sector breadth, cyclical vs defensive flow ratios, and identifies leading/lagging sectors.
  • Style and factor tracking: Monitors growth, value, momentum, quality, and minimum volatility ETF flows.
  • Thematic trends: Evaluates thematic ETF flows such as AI, clean energy, biotech, and crypto for macro positioning.
  • Signal generation: Produces trading signals and composite outlooks based on flow percentages, momentum, and breadth metrics.
  • Data sources: Utilizes yfinance for price data and public ETF flow providers like ETF.com, etfdb.com, and VettaFi.

Quick Start

Generate a US ETF flow report for the last 30 days covering SPY, sector ETFs, and thematic trends.

Frequently Asked Questions about us-etf-flow

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

FAQPage Schema
How do I track institutional capital movements using ETF flow data?

Analyze US ETF flow data to reveal institutional capital movements by tracking creations and redemptions. This method provides timely insights into capital flows and sector rotation, overcoming the delays of traditional 13F filings.

Can I use yfinance to calculate sector rotation and momentum signals?

Yes, you can use yfinance for price data alongside public ETF flow providers to calculate sector breadth, cyclical vs defensive flow ratios, and generate momentum-based trading signals for market positioning.

What is the best way to analyze thematic ETF trends like AI and clean energy?

Evaluate thematic ETF flow data for trends like AI, clean energy, and biotech to gauge institutional risk appetite. This macro positioning analysis identifies leading themes based on capital inflows and outflows.

Does this approach work for monitoring broad market risk appetite with SPY and QQQ?

Yes, interpreting broad market ETF inflows and outflows for SPY, QQQ, and IWM assesses overall market risk appetite. This monitors the general direction of institutional capital and market sentiment.

How do I generate trading signals from ETF flow percentages and breadth metrics?

Generate trading signals by applying Python-based calculations to flow percentages, momentum, and breadth metrics. This produces composite outlooks and actionable trading signals based on institutional capital movements.

What data sources are needed for US ETF flow analysis?

You need yfinance for price data and public ETF flow providers like ETF.com, etfdb.com, and VettaFi. These platforms supply the datasets required for calculating flow percentages and generating signals.