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Strategy6 min readApril 6, 2026

The 10 Most Expensive Prediction Market Mistakes (and How to Avoid Them)

Prediction market losses are not random. They cluster around the same ten mistakes. Recognise them in advance and stop paying tuition on errors others have already made.

The most expensive prediction market education is experiential. Here is the syllabus without the tuition fees.

The Top 10

  • 1. Trading resolution criteria you have not read: the most avoidable loss in prediction markets
  • 2. Averaging down on losing positions: adding to a position that is wrong just makes you more wrong
  • 3. Confusing narrative with probability: a compelling story is not a good forecast
  • 4. Ignoring base rates: you cannot skip step one of forecasting, no matter how interesting step two is
  • 5. Overconcentration: betting 30%+ of your bankroll on any single market is not conviction, it is recklessness
  • 6. Chasing moved markets: buying after a 20% move means you are paying for someone else's edge
  • 7. Trading illiquid markets at face value: thin markets are easily manipulated and hard to exit
  • 8. Recency bias: the last thing that happened is not more likely to happen again just because it is recent
  • 9. Outcome bias: judging your process by a single result rather than tracking calibration over time
  • 10. Not keeping records: without a trade log, you cannot learn from either wins or losses

Most prediction market losses are process failures, not information failures. You did not need better data — you needed a better decision framework.

The Meta-Mistake

The meta-mistake that underlies most of these: treating prediction markets like sports betting or casino gambling rather than like a market. Prediction markets reward systematic thinking and punish emotional decision-making. The same mental models that work in blackjack or on a sports book will slowly drain your account here.

Boromarket traders who track their mistakes over time and consciously work to eliminate them consistently outperform those who simply react to outcomes. The discipline of the process is the edge.

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