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Verified Oct 15, 2026

13F.chat

Verified Oct 15, 2026 Active
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AI research workspace for SEC 13F filings: track what large managers bought and sold, then backtest and tune a copy portfolio.

13f filingshedge fund trackingportfolio researchFreemium · from $30/mo

Listed on EffectHub ·

Web · API
Screenshot of the 13F.chat website
#1841
13f.chat as we captured it — our own screenshot, not the vendor’s press image.

Pricing

Pricing model
Freemium
Paid options from
$30/mo
Billing
Monthly

Credit-based: Free gives 2 AI chats and 1 fund analysis a day plus signup and check-in credits; Plus is $30/month for 3,000 credits (2 per chat, 5 per fund analysis) and Pro $90/month for 12,000 credits with unlimited daily use. A yearly toggle advertises 50% off, but the yearly price was not shown in the page markup.

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Overview

About 13F.chat

13F.chat turns the quarterly SEC 13F filings of hedge funds and other large managers into workspaces you can question in plain language. You can follow one manager or a bundle such as a Buffett-lineage set, see positions added and sold in dollars, sector rotation and concentration, and ask an AI chat to explain a move. A fund-analysis mode backtests a portfolio built from those holdings and runs an optimisation loop that only accepts changes that beat the baseline out of sample. The data is public, quarterly and delayed by design, and the site labels its output as research rather than investment advice. An OpenAPI description is published for programmatic access.

Platforms
Web · API
API
Yes
Last verified
Oct 15, 2026

Verified sources

  • Pricing page: Free $0 (2 AI chats and 1 fund analysis per day), Plus $30/month for 3,000 credits, Pro $90/month for 12,000 credits; yearly toggle labelled Save 50% (15 October 2026)13f.chat ↗
  • Footer names LING QU AI LIMITED, Company No. 16377962, registered in England and Wales, with a Kington, United Kingdom address (15 October 2026)13f.chat ↗
  • API catalog links an OpenAPI description at /openapi.json and LLM-oriented docs (15 October 2026)13f.chat ↗
  • Home page shows multi-manager 13F workspaces and an AI optimisation report with accepted and rejected strategy changes (15 October 2026)13f.chat ↗
Fact check

Is 13F.chat legit?

We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.

Domain registered
Apr 14, 2026Registry record (RDAP), registrar Cloudflare, Inc, looked up Sep 15, 2026
TLS certificate
Issued by Google Trust Services, valid until Jan 6, 2027Seen in our own connection to the site on Oct 15, 2026
Last checked
Oct 15, 2026The site answered
Operated by
LING QU AI LIMITED, United KingdomOur research, card verified Oct 15, 2026

How we collect these records

Editorial verdict

Pros & cons of 13F.chat

medium confidence

13F.chat makes quarterly 13F holdings easy to read and question, and the backtest-and-optimise loop on top is unusually transparent about which changes it rejected and why. It is a research toy for investors who like following famous managers, at $30 a month once the free daily allowance runs out; anyone who needs current positioning should remember the underlying filings are up to 45 days old when they land.

Pros

  • Multi-manager workspaces show consensus buys and sells across a group of funds
  • Optimisation results list accepted and rejected changes with out-of-sample Sharpe figures
  • Free tier is usable daily without a card
  • Operator is a named UK-registered company with a company number on the pricing page

Cons

  • 13F data is quarterly and delayed, so every view lags the managers' actual trades
  • Credits are consumed per chat and per fund analysis, which makes heavy use hard to budget on Plus
  • Backtested returns on a copied portfolio are not evidence of future performance

Best for

  • Individual investors who study what well-known managers hold
  • Researchers comparing consensus holdings across several funds
  • Developers or agents querying 13F data through the published OpenAPI description

Not for

  • Traders who need real-time or intraday positioning
  • Anyone looking for personalised investment advice

Watch out: The backtest figures on the home page are in-sample to the filing history and ignore the reporting delay; do not read them as returns you could have captured.

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