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Master AI Stock Analysis with Serenity's Bottleneck Skill

Master AI Stock Analysis with Serenity's Bottleneck Skill

Regular price £63.99
Regular price £63.99 Sale price
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Works withClaude CodeCursorCodex
Master AI Stock Analysis with Serenity's Bottleneck Skill

Master AI Stock Analysis with Serenity's Bottleneck Skill

Regular price £63.99
Regular price £63.99 Sale price
SAVE Sold out

Master AI Stock Analysis with Serenity's Bottleneck Skill

Serenity's Bottleneck Skill is designed for AI agents to perform in-depth analysis of stock markets using supply chain bottleneck theory. By conducting structured analysis across various sectors or industry chains, this skill identifies critical bottleneck nodes—those where a disruption could halt the entire industry—and singles out small-cap stocks within these nodes that exhibit technical barriers and capital signals.

What this skill does

  • Utilizes supply chain bottleneck theory to analyze sectors such as Power, Optical Modules, Medical Devices, Semiconductor Equipment, Military, and New Energy Vehicles.
  • Identifies essential nodes within industry chains that could lead to broader disruptions if interrupted.
  • Selects small-cap stocks with technical barriers and capital signals for potential opportunities.
  • Accesses A-share, H-share, and US stock market data.
  • Incorporates a three-tier data retrieval strategy for comprehensive analysis: built-in financial tools, internal scripts, and online searches.

Who it is for

Developers and teams utilizing AI coding agents like Claude Code, Cursor, and Codex who require advanced stock market analysis capabilities.

Use cases

  • Investment teams analyzing industry sectors for critical supply chain bottlenecks.
  • Quantitative analysts seeking small-cap stocks with specific technical and financial characteristics.
  • Developers working on AI-driven financial applications requiring data from diverse stock markets.

Technical details

  • Compatible with AI agents such as Claude Code, Cursor, and Codex, integrating seamlessly to perform structured market analysis.
  • Leverages a three-tiered data retrieval strategy, starting with internal financial tools, followed by an embedded script (located at scripts/a_stock_query.py), and concluding with web searches for comprehensive data gathering.
  • Supports market data (pricing and valuation) for A-shares, H-shares, and US stocks, with deeper data insights (such as research reports and capital flows) specifically available for A-shares.

This tool provides general workflow assistance and is not financial advice.


Source & Licence

This package is built on open-source work published by fadewalk (fadewalk/serenity-stock-choke) 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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