LangAlpha

LangAlpha is a research harness rather than a trading system: it produces DCF and comps models, initiating-coverage reports, earnings analysis, catalyst calendars and long/short pair ideas, and routes no orders. Its distinguishing mechanism is programmatic tool calling — the model writes Python that executes inside a sandbox and imports generated wrappers speaking JSON-RPC over stdio to the repo’s 11 bundled MCP servers (price data, fundamentals, macro, options, scraping, X and four Yahoo Finance servers), so only the computed result returns to the context window instead of the raw financial data. Work is spread over parallel subagents against persistent per-workspace sandboxes, and a provenance middleware records every web search, page fetch, SEC filing, market-data call, MCP invocation and workspace file read — including those made by background subagents — emitting a provenance stream event per source that never enters the LLM context and is rendered as a per-turn Sources panel.

Research workflows are packaged as skills: 33 SKILL.md files under skills/, each carrying Agent Skills Spec YAML frontmatter, though the README still advertises 23 and several of the 33 (pdf, docx, xlsx, ui-design, self-improve) are document or meta skills rather than financial research. Provenance is declared in-file — the DCF skill’s frontmatter states it is “Derived from anthropics/financial-services-plugins (Apache-2.0). Modified for langalpha.”

Self-hosting brings up PostgreSQL, Redis, backend and frontend with Docker alone and works without a paid data key: Yahoo Finance is the keyless fallback tier (delayed quotes, no sub-hourly intraday data, limited macro coverage) and a Docker sandbox substitutes when no DAYTONA_API_KEY is set. Two advertised features are not part of that self-hosted set — price-triggered automations are hosted-only during the beta, and all channel integrations (Slack, Discord, Feishu, Telegram) are hosted-only. The project is young and concentrated: the repository was created 2026-01-18 and one contributor holds roughly 1,592 of some 1,750 commits, so current velocity is high but the bus factor is thin. Its own disclaimer states LangAlpha “is a research tool, not a financial advisor”.