LangAlpha

LangAlpha is an AI financial research agent for turning prompts into finished research output. It is described as able to handle tasks such as DCF work, competitive teardowns, and earnings post-mortems, with an output that includes the code, the model, and a memo rather than a summary alone.

Its workflow is built around multiple agents working in parallel on data, filings, and valuation, then assembling the results into a finished model, memo, and charts. The system can pull live streaming quotes for US equities through a WebSocket price feed, read SEC EDGAR filings including 10-K, 10-Q, and 8-K forms, and access earnings call transcripts section by section. It also includes US equity options chains, the full US Treasury yield curve from 1M to 30Y, macroeconomic indicators such as GDP, CPI, unemployment, and fed funds rates, earnings and economic calendars, and ticker-tagged news with sentiment plus web-scraped alternative data. Pulls are cited back to their sources.

LangAlpha produces several output formats: DOCX memos with narrative and inline citations, XLSX financial models, PPTX decks, PDF reports, live dashboards, and rendered charts and figures. It also keeps a persistent workspace where the user profile, the agent’s notes, memory, and generated files remain across sessions and projects, and it can ingest an uploaded research library for summarization and indexing. Scheduled and event-triggered automations are supported, including daily market briefings, weekly portfolio reviews, earnings analyses, and price- or event-based alerts. The service integrates with Slack, Discord, Telegram, Feishu, and email. The page also states that it is already live in Slack.

The overall product is an AI financial research agent built for research workflows that require live market data, filings, model building, and report generation.