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AI-Powered ETF Analysis Tool: Optimize Your Investment Strategy

AI-Powered ETF Analysis Tool: Optimize Your Investment Strategy

Regular price £27.99
Regular price £27.99 Sale price
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Works withClaude CodeCursorCodex
AI-Powered ETF Analysis Tool: Optimize Your Investment Strategy

AI-Powered ETF Analysis Tool: Optimize Your Investment Strategy

Regular price £27.99
Regular price £27.99 Sale price
SAVE Sold out

AI-Powered ETF Analysis Tool: Optimize Your Investment Strategy

The AI-Powered ETF Analysis Tool provides a structured analysis of exchange-traded funds (ETFs), including index valuation, premium/discount metrics, assets under management (AUM), tracking quality, and hedge coverage. Designed as a research tool, it generates research memos with citation tracking based on the data collected from your existing systems.

What this skill does

  • Collects data using the shared engine etf_data.py to gather information on index price-earnings (PE) ratios, premium/discount status, AUM, net asset value fluctuations, and hedge coverage.
  • Generates a structured research memo in Markdown format according to a predefined template.
  • Includes source-tracked annotations, marking uncertain estimates for validation.
  • Prohibits trading advice and guides users towards journal assessments via /invest-a-journal for investment decision-making.

Who it is for

  • Developers and teams utilizing AI coding agents, such as Claude Code, Cursor, and Codex.
  • Investment analysts seeking to streamline their ETF analysis process with AI-assisted tools.
  • Research departments requiring structured and traceable ETF data analysis.

Use cases

  • ETFs' index valuation and comparative analysis against market benchmarks for investment insights.
  • Assessing the premium or discount status of ETFs to identify potential market opportunities.
  • Tracking and reporting performance metrics for investment research documentation purposes.

Technical details

  • Developed as an agent skill for AI platforms, integrating with Claude Code, Cursor, and Codex.
  • Utilizes Python and Bash engines for local data processing, with supplementary data retrieved via web search.
  • Depends on a shared data layer for consistent ETF data extraction and analysis, supporting the invest-a-journal pathway.
  • No trading signals; purely descriptive technical indicators with documented assumptions required for any references to trading structures.

This provides general workflow assistance only and is not legal, tax, accounting or financial advice.


Source & Licence

This package is built on open-source work published by Veblin (Veblin/invest-skills) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

  • Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
  • Format: ZIP archive containing the skill files, documentation and the original licence.
  • Support: support@mcpcart.com — we aim to reply within 2 business days.
  • Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.

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