A new Kalshi user opens the Fed rate decision market, sees "Yes 38¢", and pauses. Is that a price? A probability? Both? The honest answer is both at once, and learning to flip between the two readings is most of what reading Kalshi odds actually means.
Kalshi quotes its event contracts in US cents, from 1 to 99, where each cent maps directly to an implied probability percentage point. That sounds neat in theory. In practice, traders have to read the order book, the spread, the volume, and the resolution rules together before any single number means anything. This guide walks through what you are actually looking at on a Kalshi market page, how the pricing works, where the traps are, and how to translate a quote into a decision.
The cent is doing two jobs at once
Picture the Fed market quoted at "Yes 38¢ / No 62¢". The 38 cents is the price you pay per contract for the Yes side. It is also, near enough, the market's implied probability of Yes resolving true: roughly 38%. Each contract settles at $1 if your side wins and $0 if it loses, so the cent price and the percentage probability are mathematically the same number wearing two hats.
That dual identity is the single most useful fact about Kalshi. When you see a Yes price tick from 38 to 42, the market is saying it has revised its probability estimate up by four points. When the No side trades at 62, traders are collectively pricing the No outcome at 62%. The two sides should always sum to 100 cents in a healthy book, give or take the bid-ask spread.
If you want the longer version of why probability and price collapse into one number on a binary contract, our explainer on what implied probability really is covers the maths in more depth.
Reading the order book, not just the headline price
The big number at the top of a Kalshi market is the last traded price. It is the headline, but it is not what you will pay. The order book underneath tells you the real story.
A typical Kalshi book shows bids and asks stacked by price level on both the Yes and No sides. The best ask is the lowest price at which someone is willing to sell you Yes shares. The best bid is the highest price at which someone will buy them from you. The gap between those two is the spread, and on thin markets that spread can be wide enough to eat any edge you thought you had.
Worked example. Suppose the Yes side shows a best bid of 36¢ and a best ask of 40¢. The midpoint is 38¢, which is roughly the implied probability you would quote in conversation. But if you want to actually buy Yes right now, you pay 40¢. If you want to sell, you receive 36¢. A trader who buys at 40 and immediately sells at 36 loses four cents per contract, instantly, on a four-point spread alone. On a market quoted at 38, that is a 10% haircut before anything has even happened.
This is why thin Kalshi markets can advertise tempting probabilities you cannot actually trade at. The headline number is real; the execution price is something else.
Yes and No are separate contracts, not opposite sides of one bet
A subtle thing about Kalshi: you are not betting against a bookmaker who sets a single line. Yes and No are each their own contract, with their own order book, settling at $1 or $0 independently. The platform pairs Yes buyers with No buyers internally, which is how the two sides end up summing to roughly 100 cents.
The practical upshot is that you can express either view directly without the awkward language of laying or backing the other side. Want to bet against a Senate candidate winning? Buy No on that candidate's market at, say, 73¢, and you collect a dollar if they lose, a 37% return on capital risked. Our deeper walk through how Yes shares and No shares differ in practice gets into the position-management implications.
The other consequence is that the two sides can briefly drift out of line during fast news. If Yes is bid at 41 and No is offered at 57, the two sides sum to 98 cents, which means there is a two-cent inefficiency someone will sweep within seconds. You will not get there first as a retail user, but knowing why prices snap together is part of reading the screen.
Fees change the number you actually pay
Kalshi charges trading fees that scale with the price of the contract, calibrated to be lowest when the contract is near 50¢ and rise as the price moves to either extreme. The fee also depends on how you trade: resting limit orders that add liquidity (maker orders) are often fee-free, while quick or market orders that take liquidity (taker orders) carry the scaled fee. The fee is not part of the quoted price, but it lands on your fill, so a Yes contract bought at 40¢ costs slightly more than 40 cents in practice once you net out the fee.
The number itself is small on any single trade. The point is that it compounds. A trader who flips contracts repeatedly at tight spreads can find that fees eat the entire theoretical edge of an arbitrage or scalp. If you are trading for sport, ignore them. If you are trading for income, model them in.
What the price is not telling you
A Kalshi quote at 38¢ tells you the market's best current guess at probability. It does not tell you any of the following, and a careful reader keeps these in mind.
It does not tell you how many traders agree. A market that has traded twice in a week, both small, can show a price as confident-looking as one with millions in volume. Liquidity matters; the headline price does not advertise it. Our note on why some prediction market contracts trade thin is the deeper read.
It does not tell you the resolution rules. Every Kalshi contract has a specific written rule for what counts as Yes. "Will the Fed cut rates by year-end?" sounds obvious; the contract specifies which meeting, which decision, which source. Read the resolution criteria once. Disputes are rare but expensive when they happen.
It does not tell you the time decay. A market resolving in two hours behaves differently from the same market resolving in two months, even at the same price. Short-dated contracts are more sensitive to single events and can swing violently on news that a longer-dated market would absorb calmly.
Putting it together on a real-looking market
Say you open a Kalshi contract on whether a specific bill will pass the Senate this session. The page shows: last price 27¢, Yes bid 25¢, Yes ask 28¢, volume of $180,000, resolution end of session.
What you now read off that page, in order. The market thinks the bill passes with roughly 27% probability. The execution cost if you buy Yes is 28¢, not 27, so your real entry implied probability is 28%. The spread is three points wide, which is reasonable but not free; round-tripping the position costs you three cents per contract before fees. The volume of $180,000 is enough that small retail orders will fill cleanly, but a $20,000 order might push the price visibly. And the price is liable to move a lot if a vote count leaks or a senator switches publicly.
None of that is on the headline number. All of it sits one click into the order book.
Kalshi's broader contract structure, including how it sits within the CFTC-regulated US framework, is worth understanding alongside the pricing mechanics; our overview of Kalshi's event contracts and how they are structured covers the regulatory and product layer.
A note on comparing Kalshi to other venues
Kalshi prices in cents on a 1-to-99 scale. Polymarket prices in dollars on a 0-to-1 scale. Mathematically these are the same thing presented differently: 38¢ on Kalshi and $0.38 on Polymarket both encode a 38% implied probability. The display convention differs; the underlying logic does not. If you are coming from Polymarket and want a side-by-side, our Polymarket and Kalshi comparison lays out where the two diverge on fees, markets, and access.
iPredicta tracks Kalshi contracts alongside the rest of the regulated and offshore prediction market landscape, surfacing price moves, implied probabilities, and liquidity in one place so readers can compare what different venues are pricing the same event at without flipping between five tabs.
Frequently asked questions
What does a Kalshi price in cents actually mean?
A Kalshi price in cents is both the cost of one contract and the market's implied probability of that outcome, expressed as a percentage. A Yes contract trading at 38¢ costs 38 cents to buy and reflects roughly a 38% probability that Yes resolves true. Each contract settles at $1 if your side wins and $0 if it loses, which is why price and probability collapse into the same number on a binary contract. The Yes and No sides should sum to roughly 100 cents in a healthy book. Small deviations come from the bid-ask spread, not from any deeper asymmetry in how the market is priced.
Why is the price I pay different from the headline price on Kalshi?
The headline price on a Kalshi market is the last traded price, not the price available right now. To actually buy or sell, you trade against the current best ask or best bid in the order book, which sit on either side of the headline. On thin markets that spread can be several cents wide, so a contract advertising 38¢ might cost 40¢ to buy and only return 36¢ if sold immediately. Fees are layered on top of that fill price. The lesson is to read the order book before treating the big number as the price you will actually transact at.
How do Yes and No contracts work on Kalshi?
Yes and No are separate contracts with their own order books, each settling at $1 if their side wins and $0 if it loses. Buying No on a candidate is the direct way to bet against them; you do not need to sell Yes to express a bearish view. The platform internally pairs Yes buyers with No buyers, which is why prices on the two sides typically sum to around 100 cents. The structure means you can choose your side based on which has the better available price and spread, not on which is the default presentation of the market.
Do Kalshi fees change the implied probability I am trading at?
Yes, slightly, because fees raise your effective entry price. A Yes contract bought at 40¢ with a small fee on top means your real break-even probability is a touch above 40%, not exactly 40%. Kalshi's fee schedule is structured so charges are lowest near the 50¢ midpoint and rise as the contract approaches 1¢ or 99¢. For a single recreational trade the impact is minor. For frequent trading, tight scalps, or arbitrage strategies, fees compound quickly and can erase the theoretical edge that drew you to the trade in the first place. Model them in if margins matter.
Are Kalshi odds the same as Polymarket odds?
The underlying logic is identical; the display convention differs. Kalshi quotes contracts in US cents on a 1-to-99 scale, so 38¢ encodes a 38% implied probability. Polymarket quotes the same idea in dollars on a 0-to-1 scale, so $0.38 encodes the same 38%. Both venues use binary contracts that settle at the full unit if Yes wins and zero if it loses. The platforms diverge on fees, available markets, custody (cash versus stablecoin), and regulatory status, but the way the price encodes probability is the same. A trader who understands one can read the other within a minute.