
from stock-analysis504
Automates end-to-end single-stock research: collects 30+ data sources, runs structured AI analysis (Step 0–8) plus technical & funds analysis, and outputs an in
This skill automates a complete single-stock research workflow. On a user's request like "Analyze TICKER" it runs data collection across 30+ sources (price history, financials, shareholders, news, on-chain/flows if available), performs a stepwise AI analysis (Step 0–8) to produce a detailed MD research report, and hand-assembles a rich interactive HTML report (including technical charts and a 9th chapter for technical & funds analysis). Incremental updates (K-line, indicators, hero stats) are supported.
Use when you need an in-depth, reproducible single-stock research product: full initial analysis (long, 30–90 minutes) or fast incremental refreshes to update charts and recent signals. It's aimed at analysts who want a repeatable AI-driven research pipeline and interactive deliverable.
Built for local Python execution plus AI-assisted generation environments (Claude Code / similar) and for use with MCP search/servers for content enrichment.
This skill has not been reviewed by our automated audit pipeline yet.