alphagbm-stock-analysis

Community

AI-driven stock analysis with real data.

AuthorAlphaGBM
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Traders and investors struggle to synthesize fundamentals, technicals, sentiment, flow, and valuation into a single, actionable stock assessment. This skill provides an integrated, data-driven stock analysis workflow using AlphaGBM's Five Pillars framework to deliver a 1-10 composite score and an AI-generated narrative.

Core Features & Use Cases

  • Five Pillars Analysis: Fundamentals, technicals, sentiment, flow, and valuation to produce a composite score and actionable signals.
  • Ticker versatility: Analyze US, HK, and A-share equities with quick quotes, full analyses, and AI reports for investment decisions.
  • Use Case: Compare multiple tickers (e.g., AAPL vs NVDA) to derive risk-adjusted recommendations and supporting AI insights.

Quick Start

Ask your AI to run a stock analysis for a ticker such as AAPL or NVDA to generate a comprehensive score and AI report.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: alphagbm-stock-analysis
Download link: https://github.com/AlphaGBM/skills/archive/main.zip#alphagbm-stock-analysis

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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