us-etf-flow

Parse ETF flow data and compute breadth and cyclical/defensive measures.

Updated Apr 14, 2026
One-click install
npx skills add https://github.com/Liangwei-zhang/six-stock --skill us-etf-flow-liangwei-zhang
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: us-etf-flow
Source: https://github.com/Liangwei-zhang/six-stock/tree/main/Vibe-Trading/agent/src/skills/us-etf-flow
Command: npx skills add https://github.com/Liangwei-zhang/six-stock --skill us-etf-flow-liangwei-zhang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Track institutional ETF flows to gauge risk appetite, sector rotation, and thematic momentum, providing a real-time proxy for capital allocation.

Core Features & Use Cases

  • ETF Flow Mechanics: interpret creation/redemption data to determine inflows and outflows.
  • Sector Rotation Signals: compute breadth and cyclical/defensive ratios to identify leadership and risk appetite shifts.
  • Thematic ETF Flows: monitor flows in AI, clean energy, biotech, cybersecurity, and China internet to detect conviction.
  • Data Access & Output: generate structured summaries suitable for dashboards and research briefs.

Quick Start

Provide a concise ETF flow snapshot for a specified date range and produce a high-level interpretation.

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 reveal institutional sector rotation signals?

ETF flows reveal institutional sector rotation by tracking creation and redemption data to compute cyclical and defensive ratios, identifying capital leadership and shifts in risk appetite across broad-market and sector funds.

What is the best way to monitor thematic ETF conviction for AI and clean energy?

Monitor thematic ETF conviction by parsing flow data sources for AI, clean energy, and biotech funds to detect institutional inflows and outflows, generating structured summaries suitable for research briefs.

How do I calculate ETF breadth and cyclical measures across a date range?

Calculate ETF breadth and cyclical measures by parsing flow data across specified date ranges to quantify risk appetite and generate narrative summaries for downstream dashboards and tooling.

Can I use ETF flow dynamics to gauge real-time market risk appetite?

Use ETF flow dynamics to gauge real-time market risk appetite by interpreting creation and redemption data, computing breadth signals, and summarizing institutional capital movement across broad-market ETFs.

What ETF data sources are required to track institutional capital movement?

Tracking institutional capital movement requires parsing ETF flow data sources to compute breadth and thematic conviction, producing quantitative summaries of inflows and outflows for dashboards.