Bourse
ENPL
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Data
Insider TradesSEC Form 4 buys and sells by CEOs and directorsCongress TradesStock trades by Senators and RepresentativesCongress NetworkWhich politicians trade the same stocksTrump TradesThe President’s 278-T reports and portfolioCabinet & Fed TradesSecretaries, Fed governors, White House staffHedge Funds (13F)Buffett, Burry, Ackman and every big fundJim Cramer & CNBCEvery Mad Money call, scoredLobbying & Revolving DoorWho pays Washington, and who they hireGoogle Trends & WikipediaWhen the crowd suddenly caresWARN LayoffsMass layoff notices from 48 statesAll Datasets43 datasets: SEC, macro, sentiment
Strategies
AI StrategiesModels retrained monthly on every signalInverse CramerBet against Mad Money, or with itTrump PortfolioCopy the President’s stock buysCongress Long-ShortLong what Congress buys, short what it sellsCopy Buffett & BurryFamous 13F portfolios, rebalancedUpcoming TradesSee the next rebalance before it happens
Radar
Radar
API
API Docs70+ endpoints, JSON or CSVGet a Free Key1,000 requests a day, no cardOpenAPI SpecImport into Postman or a code generatorMCP for Claude & ChatGPTAsk your AI assistant about any filingWebhooksNew filings pushed to n8n, Zapier or your serverPython SDKpip install, pages and pandas
Learn
TutorialsGuides for the app, strategies and the APIBlogPublic filings, explainedMethodologyWhere every number comes fromPartner Program30% of every payment for 12 months
Pricing
Pricing
Get the App
Google PlayAndroid appWindowsDownload the .exe installerWeb AppNo install needed

AI strategies.
Every signal, one forecast.

A model retrained every month on history combines Congress buys, insider purchases, analyst ratings, government contracts, WallStreetBets and momentum, predicts the next month and buys the top 20 stocks. A long-short version also shorts the 15 worst.

Open strategies Start for free
Monthlyrebalance
9 signalsin one model
0.1%trading cost in the backtest
vs S&P 500benchmark

The method. No hindsight.

Ridge regression on 9 cross-sectionally standardized features, trained only on data before each rebalance (walk-forward, 12-month window). Target: 21-session return over the median.

Positions open only after the data was public. Simulation on historical data, before taxes, with 0.1% trading costs. Past performance does not guarantee future results.

How it works. Step by step.

  1. 1Signal

    New filings, reports or picks arrive and are matched to tickers.

  2. 2Public first

    A position can only open after the information was public, never on the trade date.

  3. 3Rebalance

    On each rebalance the portfolio is rebuilt by the rule, with 0.1% trading costs.

  4. 4You get notified

    Star the strategy in the app to get a push with the trades before each rebalance.

Keep exploring. More from Bourse.

All Strategies

Every strategy follows a clear rule, only uses data that was public on the day, and is recomputed daily after the close, with trading costs.

All Datasets

43 datasets built from official filings and public sources, cleaned, matched to listed companies and updated around the clock.

Radar

One live feed for Congress trades, insider buys and sells, institutional filings and market signals - filtered, explained and pushed to your phone.

Questions. Answered.

Is this investment advice?

No. It is a simulation on historical data, before taxes, with 0.1% trading costs, shown for education and research. Past performance does not guarantee future results.

Where do I see the holdings and the next trades?

In the Bourse app, on the strategy screen: the equity curve against the S&P 500, current holdings, past trades and the trades planned for the next rebalance.

How is the backtest protected from hindsight?

Every position enters on the day the data became public (filing or publication date), not on the date of the original trade, and models are trained only on earlier data.

Follow the money the day it is filed.

Open strategies Start for free

Bourse provides financial data and editorial information, parts of which are generated by AI. This page is for general education only. It is not personalised investment advice or a recommendation to buy or sell any financial instrument. Make your own decisions.