Research hedge fund portfolios from 13F filings
An open-source financial research agent with live data access works with 13F filings to analyze institutional portfolio disclosures.
Done with a custom-built or unnamed agent
- What they did
- The post describes an open-source financial research app that lets an AI agent query live financial data, including SEC filings, insider transactions, earnings, stock prices, and newly added 13F, 13D, and 13G disclosures. The user asks in plain English for things like a fund’s biggest new positions, and the agent searches and analyzes that data through a Next.js app using the Vercel AI SDK for tool calling, Daytona for code execution, and Valyu search; the human’s role is framing the prompt and reviewing the output.
- How it went
- The creator says the app had close to 1,000 GitHub stars and can surface institutional portfolios and related filings from one prompt. A commenter notes 13F data is delayed, so it is better for idea generation and historical tracking than real-time conviction.
- Worth knowing
- It is presented as 100% free, open-source, and able to run offline with local models.
Try it yourself with Manus
Research the latest 13F filing for [hedge fund or institutional investor name] using SEC EDGAR data. Summarize its top 10 holdings by value, the biggest new positions, the positions it increased, reduced or exited since the prior quarter, and its sector concentration. Finish with a one-page summary table and a short list of the three most notable changes, citing the filing links you used.
Want help getting this working? Join the Vibe Coding Academy ↗ Run by Alex Finn, who also runs this site.
Source: Reddit · Mar 19, 2026
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