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@lazymac/stock-alpha-mcp

v0.1.0

Published

US stock alpha signals MCP — DCF + SEC EDGAR + sector momentum + small-cap filter, encoding the Lumen-Dexter v4 buy/avoid logic for AI agents researching US equities.

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Links

Maintainers

lazymaclazymac

Keywords

mcpmodel-context-protocolstocksalphadcfsec-edgar

Readme

Stock Alpha MCP

US equities alpha signals for AI agents — DCF, SEC EDGAR, sector rotation, small-cap filter. Free data, encoded with the Lumen-Dexter v4 logic.

Tools

  • quote(symbol) — current price + 52w range + day change
  • price_history(symbol, range) — daily OHLC (1mo / 3mo / 6mo / 1y / 2y / 5y)
  • sec_filings(ticker, limit) — latest 10-K / 10-Q / 8-K filings with URLs
  • small_cap_screen(symbols, max_price, min_change_30d) — Lumen-Dexter v4 small-cap filter (max $250, no free-falls)
  • dany_test(symbol) — "Would I buy this with my own $200?" heuristic. green / yellow / red.
  • sector_rotation() — 30d sector ETF leaders / laggards (XLK, XLF, ..., XLC)

Install

npm install -g @lazymac/stock-alpha-mcp

Or in Claude Code:

claude mcp add stock-alpha --scope user -- npx -y @lazymac/stock-alpha-mcp@latest

Pricing

  • Free — personal use, public data only
  • $29/mo Pro (coming): SEC EDGAR full-text search, custom screeners, Lumen-Dexter composite_v3 (rule + LLM + DCF + SEC) score

Why it exists

After running a US stock momentum bot (Lumen-Dexter v4) for a month, I extracted the most reusable analytical pieces — the small-cap filter, the dany_test heuristic, the sector rotation snapshot — and wrapped them as MCP tools. Anyone running an AI agent that touches US equities can bolt this on in 30 seconds.

Free data sources only: yfinance public API + SEC EDGAR. No tokens needed.

License

MIT.