A website that tracks every stock trade Congress makes

Congressional trading data is relatively commoditized, but I couldn't find any open-source version with the features I wanted.The data is lagged (median 28 days from trade to disclosure, and 19% miss this deadline), but there's still interesting patterns to explore.Repo: https://github.com/kadoa-org/congress-trading-monitorLet me know if you have any suggestions for improvements!

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FL score

62

out of 100

Verdict

VALIDATE

medium confidence

Competition

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Trend

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Open-source congressional trading tracker filling a data accessibility gap, but unclear if users will pay or engage enough to sustain a business.

The pain

Investors and retail traders want to follow insider trading patterns by Congress members, but existing solutions are either paywalled, poorly designed, or require manual data aggregation. The 28-day lag and 19% missed deadlines create information asymmetry.

The gap

No free, well-designed, open-source tool exists that makes congressional trading data accessible, searchable, and actionable in real-time (relative to disclosure lag). Existing commercial solutions (Capitol Trades, Unusual Whales) are expensive.

Build angle

Start as a free tool to build audience and trust, then monetize through: (1) premium alerts for trades matching user criteria, (2) API access for traders/funds, (3) advanced analytics/pattern detection, or (4) affiliate relationships with brokers.

Strengths

  • Addresses real information asymmetry with public data
  • Low marginal cost to operate (data is free, mostly automated)
  • Clear differentiation: open-source + free tier vs. paywalled competitors
  • Founder has already built MVP and understands the data
  • Growing retail interest in insider trading patterns
  • Potential for viral growth among finance communities

Risks

  • Unclear monetization path, free tools struggle to convert to revenue
  • Data lag (28 days) reduces actionability vs. real-time trading
  • Competitors (Capitol Trades, Unusual Whales) already have traction and funding
  • Regulatory risk: could face scrutiny if perceived as facilitating insider trading
  • Low willingness-to-pay: users expect financial data to be free
  • Requires continuous maintenance and data pipeline updates
  • Network effects are weak, tool value doesn't increase with more users

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