By Kalshi View Editorial Team · Published 2026-05-19 · Reviewed 2026-07-17

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Kalshi Implied Probability, EV and Break-Even

Quick answer: a YES contract bought at 67 cents is commonly read as a 67% market-implied probability and pays $1 if YES resolves, otherwise $0. But 67% is neither a guarantee nor a verified “true” probability. For a purchase, calculate from the current executable ask—not a stale last trade or an unavailable midpoint—and add the fee shown on the order ticket. If you buy C contracts at p dollars with total entry fee f, the simplified hold-to-resolution break-even probability is p + f/C.

The four variables in the core calculation

This guide uses a YES purchase held until the contract resolves. The same equations work for NO when p is the executed NO price and q is your estimated probability that NO settles as correct.

p = executed priceDollars per contract, from 0 to 1. Use the actual or currently executable price.
q = your probability estimateA number from 0 to 1. This is uncertain and must not be confused with the market quote.
C = contract countThe number of binary contracts in the calculation.
f = total entry feeThe fee for the modeled fill, in dollars. Use the live order estimate or confirmed fill.

Price to nominal implied probability

nominal implied probability = contract price

A transaction at $0.43 maps to a nominal 43% implied probability for that side. If the interface quotes cents, the conversion is even simpler: 43 cents maps to 43%. Kalshi explains this relationship as a convenient way to read event-contract prices.

The word implied matters. A market price is created by compatible buyers and sellers; it can move, reflect limited liquidity, or turn out to be badly calibrated. Even a well-calibrated 70% forecast should be wrong about three times in ten across a large comparable set. One result cannot prove that a probability was correct or incorrect.

Do not label the midpoint “true probability.” The midpoint is merely halfway between the best bid and ask. It can be a useful reference, but neither side may be willing to trade there.

Use the executable side of the spread

Suppose the current YES book is 42-cent bid and 44-cent ask:

Best YES bid42¢Relevant to an immediate seller
2¢ spread
43¢ midpoint
Best YES ask44¢Relevant to an immediate buyer

A new immediate buyer should start the math at 44%, before fees. A seller who crosses the book starts from 42%. The 43-cent midpoint is not executable unless a compatible order appears there. A “last price” can be even less useful when the book has changed since that transaction.

Quantity matters too. If only 20 contracts are offered at 44 cents and the next 80 are at 46 cents, a 100-contract immediate purchase would average 45.6 cents before fees. Walk the visible levels with the slippage calculator and then verify the live order estimate.

Cost, payout and net profit at resolution

Each correct contract settles at $1; an incorrect contract settles at $0. For C YES contracts purchased at p and held to resolution:

QuantityFormulaMeaning
Trade cost before feeC × pCash paid for the contracts
Total modeled cash outlayC × p + fContract cost plus entry fee
Settlement payout if YESC × $1Total settlement value, not profit
Net profit if YESC × (1 − p) − fPayout less trade cost and entry fee
Net result if NO−C × p − fThe modeled cash outlay is lost

Example without fees: 100 YES contracts at 40 cents cost $40. A YES resolution pays $100, so gross profit is $60. A NO resolution pays $0, so the loss is $40. The $100 is payout; calling it $100 of profit would be wrong.

Fee-adjusted break-even probability

The probability that makes the expected net result equal to zero is:

break-even q = p + f/C

For 100 contracts at 40 cents with a purely illustrative $2 total entry fee, break-even is 0.40 + $2/100 = 0.42, or 42%. The $2 is a math input, not a quote of Kalshi's fee. The actual fee can depend on price, quantity, product and maker/taker treatment; consult the current schedule and order ticket.

This simplified formula assumes the contracts are held to resolution, so there is no separate exit trade in the model. If you plan to sell before resolution, include the expected exit price, expected exit fee and slippage. Our payout calculator exposes price, quantity and fee inputs instead of hiding those assumptions.

Expected value: the compact formula

If q is your estimated probability that YES resolves correctly, the expected net result for a hold-to-resolution purchase is:

EV = C × (q − p) − f

The derivation is the probability-weighted average of the two possible net results:

EV = q[C(1 − p) − f] + (1 − q)[−Cp − f]

Using 100 contracts, a 40-cent execution price, the same illustrative $2 entry fee and a personal estimate q = 55%:

That is a model output, not a promise. The arithmetic can be exact while q is wrong. Selection bias, correlated trades, rule interpretation, changing information, insufficient sample size and a wide spread can all make a backtested or subjective “edge” disappear.

Why YES and NO asks can total more than $1

Kalshi matches complementary positions: at a transaction price p for YES, the matched NO side contributes 1 − p, so the pair totals $1. That does not mean the separately displayed YES ask and NO ask must total $1.

Each ask is an offer to buy that side immediately. If the best YES bid is 42 cents, the economically equivalent best NO ask is 58 cents. If the best YES ask is 44 cents, the equivalent best NO bid is 56 cents. Buying YES at 44 and also buying NO at 58 crosses both sides of a two-cent spread, totaling $1.02 before fees.

The visual order-book guide shows this complement mapping and explains depth, price-time priority and weighted-average fills.

Probability, odds and return are different labels

At a 25-cent price before fees, one correct contract returns $1, including the 25-cent cost. The gross profit is 75 cents. The gross profit-to-cost ratio is therefore 0.75/0.25 = 3, often described as 3-to-1 reward relative to the amount at risk. The nominal break-even probability is 25%, not 75%.

gross profit-to-cost ratio = (1 − p) / p

Large potential multiples occur precisely because the priced outcome is less likely. A low price is not automatically cheap, and a high payout multiple is not automatically attractive.

A calculation checklist before placing an order

  1. Read the market rules and identify the exact YES and NO resolution conditions.
  2. Choose the side and inspect the current bid, ask and available quantity.
  3. Estimate weighted-average execution for the full intended size.
  4. Add the live fee estimate; do not substitute a fee from another market.
  5. Calculate maximum loss, correct-outcome net profit and break-even probability.
  6. Write down q and its evidence independently of the desired return.
  7. Calculate EV, then stress-test a less favorable q, fill price and fee.
  8. After submitting, verify filled quantity, average price, fee and any resting remainder.

The order-types guide covers Quick, Limit, GTC, IOC and FOK behavior. The fee guide explains why price and maker/taker status affect transaction cost.

Frequently Asked Questions

What does a 70-cent Kalshi price mean?

A 70-cent transaction price is commonly read as a 70% market-implied probability for that side of the contract. It is a market price, not a guarantee or a verified true probability. A new buyer should use the current executable ask and include fees.

How do you convert a Kalshi price to implied probability?

When a binary contract is quoted in dollars from 0 to 1, nominal implied probability equals the price. A price of 0.43 maps to 43%. When the interface shows cents, the number of cents maps directly to the percentage.

Is the order-book midpoint the true probability?

No. The midpoint is a reference between the best bid and ask. Neither side may be executable at the midpoint, and the price can still be a poor probability forecast. Use the ask for a planned purchase and the bid for a planned sale.

How do fees change break-even probability?

For C YES contracts bought at p dollars each and held to resolution, with f dollars of total entry fees, the simplified break-even estimate is p + f/C. This assumes no exit transaction and should use the fee shown for the actual order.

How do you calculate expected value for a Kalshi YES contract?

For C contracts bought at p dollars, a personal YES probability q and total entry fee f, expected net value when held to resolution is C × (q − p) − f. A positive estimate depends entirely on q being well calibrated and does not guarantee profit.

Why can the YES ask and NO ask add to more than one dollar?

The two asks are offers from different sides of the spread. A matched YES and NO pair is complementary and totals one dollar, but buying each side at its separate ask crosses both spreads, so the displayed asks can total more than one dollar.

Not financial advice. This guide explains arithmetic and documented market mechanics; it does not recommend a contract, position, probability estimate or strategy. Event contracts involve risk and can lose the full amount paid plus fees. Verify live prices, depth, fees and market rules before acting.
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