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BigA: AI-Powered A-Share Stock Analysis & Selection Tool

BigA: AI-Powered A-Share Stock Analysis & Selection Tool

Regular price £31.99
Regular price £31.99 Sale price
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Works withClaude CodeCursorCodexGemini CLI
BigA: AI-Powered A-Share Stock Analysis & Selection Tool

BigA: AI-Powered A-Share Stock Analysis & Selection Tool

Regular price £31.99
Regular price £31.99 Sale price
SAVE Sold out

BigA: AI-Powered A-Share Stock Analysis & Selection Tool

BigA is an AI-powered tool designed for intelligent analysis and selection of A-shares in the Chinese stock market. It dynamically manages a portfolio limited to a maximum of 30 stocks, employing selection criteria focused on high-tech, small to mid-capitalization, and strong performance to generate buy and sell signals.

What this skill does

  • Analyses real-time stock market data across various segments such as Shanghai and Shenzhen A-shares, the Growth Enterprise Market, and the Sci-Tech Innovation Board.
  • Maintains a dynamic stock pool, applying a selection filter based on high technology, middle-sized market capitalization, and good performance.
  • Provides technical analysis through an independently developed timing system ranging from -10 to +10 to aid in buy and sell decision-making.
  • Offers quantitative scoring combining fundamental metrics, catalysts, technical analysis, and popularity factors for a comprehensive stock evaluation.
  • Generates short-term trading signals considering factors like proximity to buy points, activation signals, and downturn opportunities.
  • Sends scheduled notifications, including market open outlooks, intra-day deviations, and post-market summaries adjusted to the user's local timezone.

Who it is for

  • Developers and teams using AI coding agents such as Claude Code, Cursor, and Codex seeking to integrate stock analysis tools into their projects.
  • Traders and analysts interested in AI-driven approaches to stock selection within the A-share market.

Use cases

  • Developers implementing AI-infused stock trading algorithms that require integration with real-time data feeds and dynamic stock management capabilities.
  • Teams tasked with building decision support systems for financial analysis, seeking to implement pre-configured criteria and automated timing systems within their product pipelines.

Technical details

  • Interfaces with Tencent APIs for obtaining bulk real-time data (up to 900 stocks simultaneously).
  • Employs a Python script (`biga-scan.py`) for data processing, including fetching market data and triggering buy/sell signals.
  • Utilizes user timezone information to adjust trading time presentations, providing contextual updates and notifications.
  • Incorporates a layered scoring system with components including market trends and catalyst checking.

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 kobenfang (kobenfang/bigA) 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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We finally caught broken conversion tags before launch instead of after. The pre-launch checklist alone is worth the price.

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Dropped it into Claude Code and my LCP went from 4.1s to 1.9s in an afternoon. It explains every fix it suggests, so I actually learned something too.

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Made WCAG 2.2 compliance actually manageable. It walked through our whole storefront and produced a fix list our devs could work from directly.

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As an expat freelancer in France, the DGFIP simulation saved me a very expensive appointment with an accountant. Incredibly thorough.

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Works with both Cursor and Claude Code exactly as advertised. Setup took less than five minutes with the included README.

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Instant delivery, clean files, clear docs. This is how digital products should be sold. Already bought three more skills.

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Support answered my install question within a couple of hours on a Sunday. The skill itself has become part of my daily workflow.

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