us-etf-flow

Analyze US ETF flow data to reveal institutional capital movements and risk regime shifts.

30.4k|4.9k|Updated Apr 1, 2026
One-click install
npx skills add https://github.com/HKUDS/Vibe-Trading --skill us-etf-flow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: us-etf-flow
Source: https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/us-etf-flow
Command: npx skills add https://github.com/HKUDS/Vibe-Trading --skill us-etf-flow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Institutional capital movement through US ETFs is a timely proxy for allocation shifts, but parsing creation/redemption data, sector breadth, and thematic rotation manually wastes time and misses nuanced signals.

Core Features & Use Cases

  • ETF Flow Mechanics: Interprets creation/redemption behavior to distinguish inflows from outflows and to discern risk-on, risk-off, quality, and rotation regimes.
  • Breadth and Rotation Metrics: Tracks sector breadth, cyclical versus defensive ratios, and style/factor flows to identify cyclical phase and leadership shifts.
  • Thematic and Fixed Income Context: Highlights inflow/outflow trends for thematic ETFs, fixed income segments, and momentum/contrarian signals to guide positioning across asset classes.

Quick Start

Ask the us-etf-flow skill to summarize the latest ETF creation, redemption, and sector breadth trends to gauge current market risk appetite.

Frequently Asked Questions about us-etf-flow

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

FAQPage Schema
How do ETF flows indicate sector rotation and risk regime shifts?

ETF flows reveal sector rotation by tracking institutional capital movements through creation and redemption data. Analyzing inflows and outflows across sectors distinguishes risk-on, risk-off, and quality regimes to identify cyclical phase leadership shifts.

What is the best way to analyze ETF fund flow breadth for thematic investing?

Analyzing ETF fund flow breadth involves evaluating normalized flow percentages and breadth ratios across thematic ETFs. This highlights momentum and contrarian signals without relying on price data, guiding thematic positioning across asset classes.

Can I track fixed income ETF flows to gauge institutional risk appetite?

Yes, you can track fixed income ETF flows to gauge institutional risk appetite. Monitoring creation and redemption trends across fixed income segments reveals allocation shifts and risk-off behavior effectively.

How do I evaluate cyclical versus defensive ETF flows for market timing?

Evaluating cyclical versus defensive ETF flows requires tracking sector breadth and style flow ratios. Comparing these normalized flow percentages identifies leadership shifts and cyclical phases for market timing positioning.

Does ETF flow analysis work without using price signals?

Yes, ETF flow analysis works without price signals by focusing exclusively on creation and redemption data. It supports momentum evaluation and thematic comparisons using normalized flow percent and breadth ratios to gauge risk appetite.