Prediction Market Traders Use AI Bots, Antennas to Beat Kalshi

Get the Finance newsletter
Daily finance — markets, central banks, M&A, the prints that move money. Free.
- Logan Sudeith, 26, became a full-time prediction market trader less than a year ago and collected $250,000 in a single month, crediting tools like an antenna he bought to watch Super Bowl commercials with the lowest possible latency for trading ad-related event contracts.
- Kenneth Deneau, 32, uses Anthropic-owned Claude to scan newsletters and Discord servers for trading signals, and once used the Pacer court records database to pinpoint when former Attorney General Pam Bondi would leave office before the news went viral.
- Steve Farmer, an Atlanta-based data engineer, built an AI bot from his wife's closet that trades Kalshi economic event contracts with roughly a 70% win rate — enough to cover his AI bills but, he noted, not his retirement fund.
- Michael Boss delayed going full-time on Kalshi until February, waiting until he had proprietary trading software ready, and now keeps his training methods secret to protect his edge.
- Kalshi launched a "Pro" trading terminal this month offering faster one-click trade execution, which beta tester Deek Harinath — who has placed more than 5,700 trades on 15-minute Bitcoin contracts — called a significant upgrade.
- Jay Malavia, CEO of Andreessen Horowitz-backed Kairos, is building a cross-exchange prediction market terminal aimed at traders who can't build their own tools, framing it as technology that lets individuals compete with large trading firms.
Why it matters: Prediction markets now host over 100,000 active contracts across Kalshi and Polymarket, and the traders making five-figure monthly incomes aren't doing it by reading odds — they're building or buying software, giving anyone with discretionary capital but no coding ability a clear disadvantage unless they adopt platforms like Kalshi Pro or Kairos.




