Common pitfalls and warnings for prediction markets

Most trading pitfalls in prediction markets happen well before an event even resolves. Rather than getting the forecast wrong, prediction market participants routinely run into friction across five distinct areas:

1. Contract terms and wording: Trading the headline instead of reviewing the exact settlement source, resolution deadline, and official outcome rules.
2. Pricing and exchange fees: Paying wide price gaps on low-priced long shots or paying maximum platform fees on 50-cent coin-flip trades.
3. Execution and liquidity: Watching prices jump on market orders in thin markets or assuming a buyer will be there when trying to exit early.
4. Misleading market signals: Copying leaderboard rankings that reflect temporary luck or relying on transaction volume figures inflated by fake trades.
5. Capital lockup: Forgetting that funds remain frozen until official settlement, with potential resolution disputes adding unexpected delays.

1. Buying a contract without checking what it pays on.

Prediction market traders frequently lose money when they place orders based on news headlines instead of checking a contract's exact resolution rules. Every contract relies on three specific criteria:

1. Designated settlement source,
2. Closing deadline,
3. Exact conditions needed for a Yes outcome.

In July 2025, traders in a market with $237 million in volume bought Yes contracts assuming Volodymyr Zelenskyy wore a suit during a public appearance. The market resolved No because the fine print required a consensus of credible reporting to confirm the outfit was a suit, and the resolver ruled that consensus was never established.¹

In June 2026, traders lost their stake on a Strategy Bitcoin market after buying Yes contracts on a bitcoin sale that happened inside the window. Because the company published its official SEC disclosure form one day after the contract's deadline passed, the sale did not count and the market resolved No.²³

Weather contracts carry identical source traps. Traders who buy daily temperature contracts based on consumer weather apps often lose because those apps rely on private forecasts, whereas contract rules settle strictly on official station feeds.⁴ Even when platforms step in to fix confusing wording, that intervention creates its own trap: on Polymarket, any official rule clarification immediately cancels all resting orders, leaving unmonitored positions unexecuted.⁵

2. Confusing two markets with similar names.

Traders often lose money by purchasing contracts on one event while assuming they are trading a nearly identical one listed alongside it. Platforms regularly list multiple contracts with similar titles on the same page, hiding critical structural differences inside the rules panel.

A common trap occurs when mistaking a contract that requires an outcome "by May 31" for one requiring the outcome "in May." In the Strategy Bitcoin market that resolved in June 2026, traders bought contracts assuming any sale by May 31 would trigger a Yes payout, failing to realize the specific listing required the sale to be confirmed before that deadline.⁶ Similarly, Kalshi lists both daily high and hourly temperature contracts for the same city on a single screen, but each relies on different underlying data feeds and closing times.⁷

Because platforms group related events together in search results, traders buy based on display titles alone. The actual payout condition lives in the contract specifications, where subtle wording changes create entirely different financial risks.

3. Treating 5-cent contracts like lottery tickets.

Prediction market traders often lose capital by buying low-priced contracts on low-probability events under the assumption that a cheap entry carries low risk. On prediction market platforms like Kalshi and Polymarket, a contract trading at 5 cents represents a 5 percent implied probability, meaning the market expects the event to fail 95 percent of the time.

A buyer who puts $100 into a 5-cent contract acquires 2,000 shares, expecting a $2,000 payout if a long-shot outcome occurs. In political and macro markets, these outcomes fail systematically.⁸⁹ During election cycles, long-tail contracts on third-party candidates or low-probability primary upsets consistently settle at zero, wiping out “cheap” buyers across positions.

The mistake lies in treating cheap contracts as asymmetric options rather than mispriced assets. Without specific, non-public data or deep analysis showing the crowd has mispriced the odds, buying low-probability contracts simply accelerates portfolio drawdown over time.

4. Paying peak fees on 50-cent coin flips.

Traders lose money on 50-cent “coin flip” trades by placing immediate market orders without realizing how exchange fees are calculated. Exchange fee formulas do not charge a flat percentage on the total dollar amount; instead, they scale based on market uncertainty, reaching their highest cost at the 50-cent midpoint.

Platforms like Kalshi and Polymarket calculate taker fees using a formula tied to contract variance: multiplying the total shares by a fee rate and the probability calculation P × (1 − P). Because 0.50 × 0.50 produces the highest mathematical output (0.25), a market order on a 50-cent contract triggers the highest fee per share on the exchange.¹⁰¹¹¹²

For example, buying 1,000 contracts at 50 cents incurs roughly $17.50 in immediate fees, whereas buying 1,000 contracts at 10 cents or 90 cents costs $6.30 for the exact same total trade size.¹³

Buying a 50-cent contract instantly means paying the platform's highest fee upfront, so the trade has to gain value just to cover the cost of entering it. Traders can avoid this peak fee by placing a limit order, setting the exact price you want to pay and waiting for another trader to accept it. By waiting instead of buying instantly, you add liquidity to the exchange, which lowers or removes the platform's fee entirely.¹⁴

5. Chasing breaking news headlines into a market.

Buying into a market immediately after a headline drops puts manual traders at a direct disadvantage against automated algorithms. In prediction markets, trading bots process news feeds, regulatory filings, and official announcements within milliseconds, exponentially faster than the average trader.

By the time a human trader reads a push notification, opens the exchange app, and submits an order, the market price has already adjusted to the news. Entering right after a positive headline means paying a new, higher price just as the initial buying momentum stalls (or craters).

Profitable news trading depends on whether a headline actually changes how a contract settles, not just whether the news sounds big. Buying after the price moves leaves you vulnerable to sudden reversals when full details or official corrections come out.¹⁵¹⁶

6. Submitting market orders in thin order books.

A thin order book occurs when a market has low total liquidity, meaning a large gap exists between the highest buyer and lowest seller, with very few shares offered at any single price point. Executing a market order in this environment causes severe price slippage as the trade moves through multiple price levels to get filled.¹⁷¹⁸

For example, a contract might show an ask price of 40 cents, but only for 100 shares. A market order for 1,000 shares fills the first 100 shares at 40 cents, then automatically sweeps up to higher asks, like 45 or 50 cents, to fill the remaining 900 shares. This pushes the average purchase price far above the figure originally displayed on screen.

Managing entry costs in low-liquidity contracts requires using limit orders instead of market orders. A limit order caps the maximum price you are willing to pay, preventing your order from filling at higher prices if available share depth runs out.

7. Holding contracts through resolution instead of exiting into liquidity.

Holding a position all the way to final settlement exposes traders to resolution disputes, source-reporting delays, and capital lockups. While waiting for a full 100-cent payout avoids paying a fee to exit early, it leaves your money tied to strict platform rules and specific data sources.

Settlement depends entirely on the exact source named in the contract rules. If a government agency delays a report or a news organization stalls on calling a race, the exchange cannot settle the market and must hold all trader funds in escrow. Your capital remains locked in the position until that official result posts, leaving you unable to collect your payout or use those funds elsewhere.¹⁹

Platforms that rely on public voting to settle disputed contracts add another layer of risk. If a contract is worded vaguely, voters might interpret the rule unexpectedly and declare a different winner than anticipated.²⁰²¹ Selling your position on the open market before final resolution locks in your profit, avoids voting disputes, and frees up your cash immediately.

8. Copying a name on the leaderboard.

Copying top-ranked accounts assumes that past leaderboard placement indicates recurring skill rather than transient luck. Empirical analysis demonstrates that trading performance in prediction markets exhibits almost no persistence over time.

A 2026 study by London Business School and Yale analyzing Polymarket accounts found that only 44 percent of traders classified as top performers on initial trades maintained profitability on subsequent trades.²² On-chain data shows that 84.1 percent of unique wallets operate at a net loss, while 0.1 percent of accounts captured 67 percent of total cumulative profits.²³²⁴ Kalshi's internal metrics reflect 2.9 unprofitable accounts for every profitable user on the platform.²⁵

High trading volume is similarly deceptive when used as a proxy for informed positioning. A Columbia Business School study classified nearly 25 percent of historical Polymarket volume as wash trading, with non-economic wash trading peaking near 60 percent of weekly volume in December 2024.²⁶ Traders who assume high volume means smart money is involved are often reacting to fake activity created solely to make a contract look popular.

9. Churning the 15-minute markets.

Churning, which is the practice of rapidly buying and selling positions over short periods, destroys an account balance through the constant accumulation of trading fees. This is typically seen in 15-minute crypto and event contracts, which generate over $70 million in daily volume, attracting traders who attempt to profit from tiny price fluctuations rather than underlying event outcomes.²⁷

The risk lies in how quickly transaction costs compound across repeated trades. Entering and exiting multiple positions an hour forces an account to pay exchange fees on both sides of every trade, consuming capital even on positions that break even.²⁸

Short timeframe markets also amplify execution errors and random price noise. Price swings in 15-minute windows reflect immediate order flow rather than changing event probabilities, making sustained profitability mathematically difficult once round-trip transaction costs are factored in.

10. Trading with borrowed money.

Trading with borrowed money turns normal trading losses into real-world debt. A September 2026 survey by BadCredit.org found that nearly eight out of ten active prediction market users lost money over the past year, yet more than half used credit cards, personal loans, or borrowed money to fund their trades.²⁹

When you trade with borrowed money, losing a trade means you owe the original cash plus high credit card interest rates and deposit fees.³⁰ A bad prediction doesn't just wipe out an account balance; it leaves you paying off high-interest debt long after the market has settled.

Because prediction markets settle so quickly, using debt to trade mirrors high-risk gambling, prompting the National Council on Problem Gambling to call for a ban on credit-funded participation.³¹