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10 Prediction Market Mistakes Beginners Make (And How to Avoid Them)

The most common prediction market trading mistakes: overconfidence, ignoring liquidity, chasing losses, and more. Avoid these errors to trade profitably on PolyGram.

Marc Jakob
Senior Editor — Prediction Markets · · 3 min read
✓ Fact-checked · 📅 Updated 2 May 2026 · 3 min read
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The majority of traders entering prediction markets experience early losses — not because the markets themselves are rigged, but because they fall into avoidable pitfalls. Learning what these pitfalls are ahead of time can protect your capital considerably.

Mistake 1: Trading Without an Edge

This is the most prevalent and expensive error traders make. When you're trading a market simply because it interests you, rather than because you possess real information or a calibration advantage, you're essentially transferring funds to traders with superior knowledge. Consider this question carefully: "What do I understand that the broader market has missed?"

Mistake 2: Ignoring Spread Costs

When a market sits at 0.50 and carries a 3-cent spread, you're immediately down 6% on your potential gains. Across many trades, this friction accumulates rapidly. Only enter positions when your edge is larger than the bid-ask spread you'll face.

Mistake 3: Overconfidence in Your Probability Estimates

Newcomers routinely misjudge their own certainty levels. When you claim 90% confidence, your actual track record should reflect that outcome 90% of the time. In practice, most traders' stated 90% confidence translates to 70-75% accuracy.

Mistake 4: Chasing Losses

Following a losing trade, the urge to increase bet size to recover losses quickly is powerful. This behaviour is how trading accounts get wiped out. Every new position deserves independent sizing based on its own characteristics, disconnected from previous wins or losses.

Mistake 5: Ignoring Position Sizing

Even when you possess genuine edge, allocating a quarter of your total capital to one market introduces excessive volatility. Apply Kelly Criterion principles — ordinarily 2-5% of total capital per individual trade.

Mistake 6: Trading Illiquid Markets

A market exhibiting a 10-cent spread demands a 20%+ price movement merely to reach break-even. Concentrate on markets with spreads under 2 cents until you've honed your ability to identify genuine edge.

Mistake 7: Not Tracking Your Results

Without organised record-keeping, distinguishing between genuine edge and simple variance becomes impossible. Document each trade meticulously: your probability assessment, your position, and what actually occurred.

Mistake 8: Anchoring to Your Entry Price

What you paid for a position holds no bearing on whether you should maintain or close it. The relevant question is: considering everything we know right now, is my YES position worth more or less than what the market is currently offering?

Mistake 9: Trading Too Many Markets Simultaneously

Depth outperforms breadth. Five positions you've thoroughly analysed will typically outperform thirty positions you've given minimal thought.

Mistake 10: Letting Politics or Emotion Drive Trading

Wanting a particular political outcome and accurately forecasting that outcome are entirely separate matters. Base your trades on probability assessment, not personal preference.

FAQ

How long should I paper trade before risking real money?
Practise using Manifold Markets (play-money environment) for 50+ transactions to refine your probability calibration before deploying actual USDC on PolyGram.
What is a reasonable starting bankroll for prediction markets?
£30-60 (or equivalent) suffices to understand genuine market behaviour. Begin modestly, document your performance, and expand your stakes only once you've shown consistent positive expected value.
How do I know when I have genuine edge?
Calculate your Brier score across a minimum of 50+ forecasts. When your calibration demonstrates sustained outperformance relative to the market, your edge is probably legitimate.
Marc Jakob
Senior Editor — Prediction Markets

Marc has covered prediction markets and crypto order flow since 2018. Writes for PolyGram on market structure, on-chain settlement, and regulatory developments.