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A binary prediction-market contract that trades at $0.63 implies a market-implied probability of about 63% before fees and execution effects. The figure is an interpretation of the contract price, not a guarantee that the event will occur. To understand what a displayed percentage means, identify whether it is a bid, ask, midpoint or last trade; read the contract’s exact settlement rule; and account for spread, liquidity, fees and time to expiry.
What a prediction-market price represents
Most prediction markets use contracts with a fixed $1 payoff. A Yes contract pays $1 if the named event satisfies the market’s resolution rule and $0 otherwise. A No contract pays $1 if the event does not satisfy that rule and $0 if it does. Because the payout is fixed, the contract’s price is commonly read on a probability scale.
If a Yes contract is quoted at p dollars, its simple implied probability is approximately 100p%. A price of $0.63, or 63 cents, therefore suggests a 63% chance. The complementary No price is approximately $0.37, or 37%, when the two sides are priced consistently. This conversion is a market convention, not a statistical guarantee or a promise of a 63% long-run success rate.
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CME Group describes the same scale for contracts quoted from $0.01 to $0.99: the price reflects the market’s perceived likelihood, and the correct side receives $1 while the incorrect side receives $0. Its example uses a $0.45 contract: a winning position receives $1, but the trader’s gain is reduced by the $0.45 entry cost and any applicable fees. (CME Group, 2026)
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The arithmetic behind the probability shortcut
Binary contract formula
For a binary Yes contract:
Implied probability ≈ price in dollars × 100
For a quoted price in cents, the number of cents is the approximate percentage. A 12-cent price implies about 12%; 88 cents implies about 88%. The corresponding No estimate is:
No implied probability ≈ 100% − Yes implied probability
The shortcut assumes a $1 payoff, ignores trading fees, and treats the quoted price as representative of the price at which you can actually trade. It is most useful as a quick interpretation of a liquid binary market, not as a complete expected-return calculation.
Expected value is different from probability
Suppose you buy Yes at $0.63 and the event has a 63% chance according to your own independent estimate. Before fees, the expected payout is 0.63 × $1 = $0.63, exactly equal to the entry price. That is a zero-excess-value trade before frictions, even though the position can still win or lose the entire contract amount at settlement. A fee, an unfavorable spread or a different fill price can make the expected result negative.
A trader who believes the true chance is 70% may regard a 63-cent executable price as attractive, while a trader who estimates 55% may regard it as expensive. The displayed percentage describes the price the market is offering, not your personal probability assessment.
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How an exchange turns orders into a displayed number
Orders create the order book
Participants submit bids (offers to buy) and asks (offers to sell), often with a specified limit price and quantity. The exchange records these orders in an order book. When compatible buy and sell interest meets, the platform matches a trade at the applicable price. New information, changing opinions and the availability of capital continually move the orders.
| Term | Meaning | What a new trader should expect |
|---|---|---|
| Bid | The highest price a buyer currently offers | A seller generally receives the bid when selling immediately |
| Ask | The lowest price a seller currently accepts | A buyer generally pays the ask when buying immediately |
| Spread | Ask minus bid | A wider spread raises the cost of entering and exiting |
| Midpoint | (bid + ask) ÷ 2 | Useful for display, but not normally an executable price |
| Last trade | The price of the most recent matched transaction | Can be stale when no recent trade occurred |
| Depth | Available quantity at each price level | Large orders may fill across several prices |
Displayed probability may not be a tradable quote
Polymarket says its displayed probability is normally the midpoint of the best bid and ask. For example, a 34-cent bid and a 40-cent ask produce a displayed probability of 37%. Its stated rule switches to the last traded price when the bid-ask spread is wider than $0.10. That means the number on screen can be a midpoint or a historical trade rather than the price a new order will obtain. (Polymarket Help Center, March 13, 2026)
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Taking liquidity versus posting a limit order
An immediate order that accepts the best available offer is commonly called taking liquidity. It is more likely to fill, but you pay the current ask for a purchase or accept the current bid for a sale. A limit order specifies a maximum purchase price or minimum sale price. It can improve your price, but it may never fill, particularly when the event is close to settlement or the market is thin.
Check both the top quote and the quantities behind it. If only 20 contracts are offered at 40 cents and you try to buy 100, the remaining contracts may execute at higher prices. Your average fill, rather than the first displayed level, determines your position’s economics.
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Fees, spread and the return you actually receive
The price-to-probability conversion omits fees. A University College Dublin working paper records a Kalshi fee of $0.07p(1−p) per contract, with the total rounded up to the nearest cent. Here, p is the contract price expressed in dollars. At a 63-cent price, the unrounded fee calculation is $0.07 × 0.63 × 0.37, or about 1.63 cents per contract before rounding. The applicable fee schedule and rounding rule should be checked for the specific account and market. (University College Dublin School of Economics, 2025)
Fees affect both entry and exit. If you buy Yes at $0.63 and it wins, your gross payout is $1, but your gross trading profit is only $0.37 before fees. If it loses, the contract pays $0 and the entry price is lost, again before fees. A screen price does not tell you the net expected return without the fee, the fill price and the number of contracts.
- Buying: compare the ask plus purchase fee with the $1 conditional payout.
- Selling before settlement: compare the executable bid with your original cost and any exit fee.
- Thin markets: include likely price impact from filling multiple levels.
- Near expiry: allow for the possibility that the quote changes sharply as the resolution approaches.
Reading multi-outcome markets
Not every market has only Yes and No. A question such as “Which candidate will win?” may list several mutually exclusive outcomes, each with its own contract. Read each price as an implied probability first, then ask whether the listed outcomes are both mutually exclusive and exhaustive.
| Outcome price | Simple implied probability | Interpretation |
|---|---|---|
| $0.45 | 45% | Market price suggests this outcome is the leading possibility at that quote |
| $0.30 | 30% | Separate contract, not automatically a 30% share of a normalized total |
| $0.15 | 15% | May be one of several listed outcomes |
In a perfectly complete, frictionless set of mutually exclusive outcomes, prices would sum to approximately $1, or 100%. Real sums can differ because bids and asks are not identical, fees create a wedge, some outcomes may be missing, liquidity is uneven, and the platform’s contract rules may prevent direct offsetting trades. Do not silently normalize a set of prices to 100%; state whether you are using raw quotes or a normalization method and why.
Why market-implied probabilities can be useful
Prices aggregate money-backed opinions. A trader who expects new information may submit an order, moving the quote; other participants can respond by taking the other side. This process often makes a liquid price a concise summary of the information and beliefs available to participants at that moment.
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That summary is conditional on the exact contract. A market about whether an agency publishes a report by 5 p.m. Eastern time is not equivalent to one about whether the report is published by midnight UTC. Resolution sources, definitions, rounding rules and treatment of delayed or ambiguous outcomes can change the event being priced.
Kalshi describes its prices as collective belief rather than a rigid model or a direct historical frequency. Risk preferences, capital constraints and transaction costs can keep a price away from the frequency that would be observed over a particular set of repeated events. (Kalshi News, March 12, 2026)
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Liquidity and information limits
A market with few active traders can have a wide spread and shallow depth. One order can move the midpoint substantially, so the displayed percentage may reflect a small amount of capital rather than broad agreement. A last-trade figure can remain unchanged even while the best bid and ask have moved.
Risk preferences and incentives
Participants do not all maximize a simple probability forecast. Some may pay for insurance-like protection, seek entertainment, manage a portfolio or face limits on capital and position size. Their willingness to pay can therefore differ from their best estimate of the event’s frequency.
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A 60% quote several weeks before settlement is not automatically comparable with a 60% quote minutes before settlement. A 2026 study of 23 million Kalshi sports trades reports that calibration changes with time to expiry and product type. Its conclusion is that using prices as probability inputs requires conditioning on both variables, rather than applying a universal correction to price alone. The finding concerns the products and sample studied; it is not a general adjustment factor for every prediction market. (Moshrefi, 2026)
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Resolution risk
The winning side receives the fixed payout only when the stated resolution rule is met. If the rule relies on a particular data release, official announcement or cutoff, an apparently obvious real-world result may still settle differently from a trader’s assumption. Read the source and edge-case language before comparing prices or treating a contract as a forecast of a broader event. (CME Group, 2026)
How to compare two prediction-market prices correctly
- Match the event wording. Confirm that both contracts define the same event, thresholds, units and exclusions.
- Match the time window. Check the cutoff time, time zone, expiry date and whether either market settles earlier.
- Match the resolution source. Identify the named agency, publication, data series or other authority that determines the outcome.
- Inspect the quote type. Record whether each number is a bid, ask, midpoint or last trade, along with the timestamp.
- Check spread and depth. Note the quantity available at the best prices and estimate your average fill for the intended order size.
- Calculate fees. Include entry, exit and settlement charges where applicable; do not compare headline prices alone.
- Consider time to settlement. A contract that ties up capital for longer has different practical risk and opportunity cost.
- Check access and jurisdiction. Eligibility, funding methods and trading hours can differ by venue and location.
- Assess evidence for calibration. Historical accuracy, if available, should match the same product type and a similar time-to-expiry profile.
A worked example from quote to decision
Imagine a binary Yes contract with a 34-cent bid and a 40-cent ask. The midpoint is 37 cents, so a platform using midpoint display may show 37%. A trader buying immediately should evaluate the 40-cent ask, not assume a 37-cent fill. A trader selling immediately should evaluate the 34-cent bid. The six-cent spread is a direct execution cost before any platform fee.
If the trader buys 100 contracts at 40 cents, the nominal entry cost is $40 before fees. A win produces $100 at settlement, for a $60 gross gain before fees; a loss produces $0 and forfeits the $40 entry cost. If only part of the order is available at 40 cents, the average fill can be higher. If the trader instead posts a 37-cent limit order, the expected price improves but execution is uncertain.
The 37% figure is therefore a concise description of the displayed market estimate, while 40 cents is the relevant price for an immediate purchase and 34 cents is the relevant price for an immediate sale. Treating all three numbers as interchangeable is the most common source of mistaken return calculations.
Practical checklist before placing an order
- Write the event in your own words and include the exact settlement deadline.
- Open the contract rules and identify the official resolution source.
- Record the current bid, ask, midpoint or last trade and the time observed.
- Check order-book depth for the number of contracts you intend to trade.
- Estimate the average fill, not just the best displayed quote.
- Calculate the $1 payout, entry cost and all stated fees for both outcomes.
- Decide whether a marketable order’s certainty of execution is worth its spread, or whether a limit order’s uncertain fill is acceptable.
- For multi-outcome questions, verify that outcomes are exhaustive before interpreting their prices as a complete probability distribution.
- Record time to expiry and avoid applying calibration evidence from a different product or horizon.
- Size the position on the assumption that the losing side pays $0.
What to remember
For a $1 binary contract, price in dollars is approximately implied probability in percentage points: 63 cents suggests about 63%. The number on screen may be a midpoint or last trade rather than an executable quote. Bid-ask spread, depth and fees determine what a trade costs and what a winning position nets. Contract wording, settlement source and cutoff time determine what event is actually being priced. Finally, prediction-market prices are forecasts formed by trading—not guarantees—and their calibration can vary with the product and time remaining before expiry.
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
