Key Takeaways
- Limit orders let you buy or sell prediction market contracts only at a price you choose or better, which gives you more control over entry, exit, and risk.
- They help you get pricing, pay lower fees, and trade more intelligently, but they also come with trade-offs.
- The biggest risk with limit orders is that it may never get filled.
- Not all prediction markets offer limit orders, but many do, including Kalshi, Polymarket, and Robinhood.
A limit order lets buy or sell a contract only at a price you choose or better. If the market reaches that price, your order may be partially or completely filled, depending on what others are trading. Any portion that is not filled remains open until it is filled, cancelled, or expires.
Prediction markets that support limit orders provide this functionality across all markets, including sports, mentions, politics, economics, and more. Several U.S. prediction market platforms offer limit orders, including Kalshi, Polymarket, ProphetX, Novig, Crypto.com, and Robinhood.
The main appeal of limit orders is control. Instead of accepting whatever price is available right now, traders can set the highest price they are willing to pay or the lowest price they are willing to accept.
That helps you avoid overpaying in markets with thin liquidity, pay lower fees, limit slippage (more on this later), and make it easier to take profits and set stop-losses.
This guide explains how limit orders work, the benefits and drawbacks of them, how to place them, and strategies for using them.
What Are Limit Orders on Prediction Markets?
Limit orders are a core trading tool for controlling the prices at which you buy and sell on prediction markets.
They let you choose the highest price you are willing to pay for a contract and the lowest price you will sell at.
Instead of just accepting whatever the current price is, you can decide to only buy/sell if the price reaches your target.
Example Limit Order Scenarios
Once placed, a limit order can fully or partially fill right away, stay open until it's fully/partially filled, or never fill. The outcome depends on how much future liquidity is available at the chosen price.
Here is how each of those scenarios plays out:
1) Placing a limit order that isn't filled automatically
For example, in the Denver/Minnesota NBA game, if the best available price for Denver to win is 83 cents (the lowest “Ask”), you could decide to place a limit order at 81 cents.
Your order will then go on the order book at 81c. If the price ever reaches this point, your order will be filled.
2) Placing a limit order that is partially filled immediately
In the same example above, if you put a limit order in for 100 contracts at 83 cents:
- 36.18 contracts would be filled immediately, since that is the total amount available at that price
- The remaining 63.82 would stay open until someone is willing to trade at that price.
3) Placing a limit order that is immediately filled
Using the same example, if you place a limit order for 100 shares at 84 cents, your order would be filled immediately since there are Asks available at that price.
In this scenario, you would buy the following contracts:
- 36.18 shares at 83 cents
- 63.82 shares at 84 cents
4) Placing a limit order that is never filled
Say you put a limit order for Denver to win at 50c, but they lead the whole game, and the price never drops, your order would never be filled.
A quick note on priority: whoever has a limit order at that price gets first priority. After that person's order is completely filled, whoever put their order in next would move up to top priority.
By the way, if this is complicated or you're new to prediction markets, check out my How Prediction Markets Work 101 guide that goes over the basics. It’s a helpful place to start before you get into limit orders and the finer points of trading.
How to Place & Cancel Limit Orders on Prediction Markets
On most prediction market platforms, placing a limit order follows the same basic process. The trader chooses a market, enters how many contracts and what price they want, and sends the order to the book.
Canceling is usually just as simple from the interface. But keep in mind that only the unfilled portion of the order can be canceled.
The workflow can vary somewhat by platform, especially in how each app handles order entry, partial fills, open orders, and cancellations. That is why it helps to start with one concrete example and then point out how other apps handle the process differently.
Placing Limit Orders
I’ll use Kalshi to show what placing a limit order looks like in real trading.
In one example, I entered the market “What will Trump say during The Brian Kilmeade Show?” On the main screen, Kalshi listed several possible outcomes, including “Hormuz,” “Fake News,” and “Khamenei / Son,” each with its own Yes and No price.
At the time, “Hormuz” was priced at Yes 47¢ / No 55¢. “Fake News” was Yes 43¢ / No 58¢. “Khamenei / Son” was sitting at 44%.
I chose the Fake News contract. The Yes side was trading at 43¢, but I didn’t want to buy at that price.
So I bought 10 shares and set a limit price of 38¢.
By doing that, I was telling Kalshi to buy 10 Yes shares only if the price dropped to 38¢ or lower. Because the Yes price was still above 38¢, the order did not go through right away. It stayed in the order book, waiting for a seller willing to accept my price.
On Kalshi, the order showed up as queued with the duration set to good ’til canceled. That meant the order could stay active until it filled, I canceled it, or the market expired.
A second example shows the same process in a different market.
I opened “What will announcers say during the Denver Nuggets vs. Los Angeles Lakers pro basketball game?” and picked the Airball / Airballs / Airballed contract.
At that point, I could have bought No at around 40¢, but I was waiting for a better price.
So I entered 15 contracts and set my limit price at 34¢.
That meant I was trying to buy No only if the market dropped to 34¢. When I checked the order, 5 contracts had already filled, while the rest remained open.
That’s a good example of how a limit order doesn’t always fill all at once. Part of my order found matching liquidity at my price, while the rest stayed in the book waiting for more sellers.
Platform-by-Platform Differences
Other platforms use the same limit-order process, but they label it differently.
On Novig, for example, you’re not choosing between Market and Limit. You’re choosing between Take and Make.
In the example below, I was looking at a spread market on the Cleveland vs. Dallas NBA game. The available prices on Cleveland -12.5 were -118, -118, and -122.
Instead of taking one of those numbers, I posted +100 on Dallas +12.5 with a $10 stake.
Although Novig uses a different language, I’m doing the same thing I did on Kalshi. I’m naming my price and waiting for someone else to match it.
ProphetX presents the same function with different wording. Instead of Market and Limit, the slip shows Fill My Stake and Set My Odds. I like that wording because it makes the point pretty obvious.
In the example shown, I used Set My Odds on the Knicks -13.5 in a game between New York and Indiana.
The slip showed Stake 10, Odds 106, and To Win 10.60.
So again, I wasn’t taking the number already available. I was posting the odds I wanted and waiting to see if the market would meet them.
Robinhood takes a more stripped-down approach. In the example, I entered Buy Yes – USA for 10 contracts at a limit price of $0.82.
It showed Good til date as the order duration, with an estimated cost of $8.40 and a $10.00 payout if the contract settled right.
That flow is simpler, but the instruction is still the same. I’m entering the size, the most I’m willing to pay, and how long I want the order to stay active.
Across all three platforms, the wording changes more than the mechanics do. I’m still picking my own price or odds first and telling the platform to fill the trade only if the market gets there.
Canceling Limit Orders
You can almost always cancel a limit order any time before it’s fully filled.
If none of it has gone through, you can cancel the whole thing. If part of it has already filled, you can only cancel what’s left. The filled piece stays on the books as a completed trade.
Here's an example of my resting orders—limit orders that haven't been fully filled yet—for the “What will announcers say during the Denver Nuggets vs. Los Angeles Lakers pro basketball game?” market.
For any of these resting orders, I could cancel them by simply hitting the X button. For orders that are partially filled (see Airball), I would still hold those 5 contracts, though I could always sell them.
The process works similarly on other prediction market apps. Simply find your current positions in the “Portfolio” or “My Trades” section and find the cancel option.
What Prediction Market Apps Allow Limit Orders
Not every prediction market app gives you access to limit orders.
Some platforms only let you trade at the current market price. Trading at the current market price makes order entry easier, but gives traders less control over execution.
Platforms that offer limit orders give you more control over both entry and exit. Instead of taking whatever price is on the screen, you can set the highest number you’re willing to pay or the lowest number you’re willing to accept. Then the order can wait in the book until the market gets there.
The best prediction market apps that allow limit orders are Kalshi, ProphetX, Novig, Crypto.com, and Robinhood.
Prediction Market App | Allows Limit Orders? | Limit Order Notes |
|---|---|---|
Yes ✅ | Orders can stay open, fill partially, or expire based on the time setting. Kalshi also supports IOC (Immediate-or-Cancel, meaning any unfilled part is canceled right away) and other expiration choices. Resting orders can also avoid taker fees in many cases. | |
Yes ✅ | Novig uses Make instead of “Limit.” A Make order means you set your own price and wait for another trader to match it, rather than taking the current market. Novig also lets users choose how long the order stays active. | |
Yes ✅ | Supports limit orders for Prediction and Sports trading. Orders can remain pending until filled, canceled, or expired, and partial fills are possible. Crypto.com’s market orders use protected execution, while limit orders lock the trade to your chosen price. | |
Yes ✅ | Event contracts use IOC (Immediate-or-Cancel) and GTD (Good-Til-Date, meaning the order stays open until a preset time). Robinhood says GTD event-contract orders expire the next calendar day at 3 AM ET. | |
Yes ✅ | Uses Set My Odds, which is its version of posting your own number instead of taking the current market price. | |
Coinbase | Yes ✅ | Coinbase supports limit orders through Advanced Trade. Orders can be partially filled, canceled while open, and use time-in-force settings such as GTC (Good-Til-Canceled, stays open until you cancel it), IOC, and FOK/FOC (Fill-or-Kill, meaning the full order must execute immediately or not at all). Coinbase also distinguishes between maker and taker behavior for limit orders |
Yes ✅ | Sporttrade runs on a central limit order book and supports limit-style buying and selling at your own price. Orders can wait on the book, fill fully or partially, and use Good ’Til… style timers. Sporttrade also added timer-based limit-order controls such as “until game starts” or “cancel in 30 seconds.” | |
FanDuel Predicts | No ❌ | N/A |
DraftKings Predictions | No ❌ | N/A |
Fanatics Markets | No ❌ | N/A |
No ❌ | N/A | |
PrizePicks Predict | No ❌ | N/A |
Betr Predictions | No ❌ | N/A |
PredictIt | No ❌ | N/A |
Benefits of Limit Orders
The upside with limit orders goes beyond just picking your price. They can help with execution, fees, and risk management, too. Let’s look at the main benefits.
1) Better Pricing
A limit order gives traders a better chance of getting the price they want, rather than taking whatever the market is offering. Price control becomes more important when the spread is wide (meaning there’s a bigger gap between the best buy price and the best sell price) or when there isn’t much liquidity at the best quoted price.
In practice, a limit order can be the difference between getting a price that fits the trade and settling for one that is merely available. If I only want to buy below a certain level, a limit order lets me stay disciplined instead of chasing the market.
In prediction markets, even a few cents can move the implied probability enough to change whether a trade is worth making.
2) Pay Lower Fees
On some prediction market platforms, limit orders can help cut trading costs.
Kalshi, for example, separates orders that take liquidity right away (taker) from orders that rest in the book (maker). Limit orders are considered maker trades as long as they aren't filled immediately.
That helps most in markets where fees can eat into a small edge. Because prediction market contracts have limited upside, trading costs can affect the outcome more than people expect.
A trader who keeps crossing the spread and paying the more expensive side of the fee structure can give up a decent amount of value over time. A patient limit order can help with that, especially when having the trade executed right away isn’t a priority.
3) More Control Over Entries and Exits
Limit orders make it easier to trade with a plan. Instead of deciding on the fly, traders can choose their entry or exit price in advance and wait for the market to reach it.
For someone trading around a specific view of value, that matters. You can pick your number before the market speeds up, rather than deciding in the moment.
The benefit works on both sides of the trade. When buying a position, a limit order can keep me from paying more than I want. When selling, it gives me a target price instead of forcing a rushed decision once the market starts moving.
4) Let's You Plan Trades Ahead of Time
Limit orders make it easier to plan trades ahead of time instead of reacting to every price move as it happens. You can set a target price in advance, leave the order working in the market, and let the platform execute only if that level is reached.
That’s especially useful when there’s already a price in mind. You may want to buy only after a pullback or sell only into a short-term spike. A limit order makes that possible without trying to time the market by hand.
On platforms with time-in-force settings, there’s even more control. You can choose not just the price, but also how long the order should stay active.
5) Better Risk Management
Limit orders can help with risk management by letting you stick to the price you planned to take. If a contract is listed at 50¢ and that price disappears a second later, a market-style order could go through at a higher price.
A 50¢ limit order prevents that. The trade only goes through at 50¢ or better.
That kind of guardrail is useful in prediction markets, where prices can move fast around headlines, score changes, economic data, or resolution windows. A limit order doesn’t guarantee a fill, but it does protect the trader from entering at a worse price than planned.
6) Helps Avoid Bad Fills in Fast Markets & Avoid Slippage
In fast-moving prediction markets, prices can jump across multiple levels when there isn’t much size at the best quoted number. A limit order protects against that by setting the highest price a trader is willing to pay or the lowest price they’re willing to accept.
It’s most useful in lower-liquidity markets, where the price can move between the moment an order is placed and the moment it reaches the book. In a binary market, even a few cents can change the value of the trade.
“Slippage” in prediction markets is when you end up getting a worse price than the best available price because you bought up all the contracts at the lowest price point, then, to fill the order, got the remaining at a higher price.
For example, if there are 50 shares available at 50 cents, 50 shares at 51 cents, and 50 shares at 54 cents, and you put in an order for 150 contracts without a limit order, you would end up having an average price of 51.67 cents before fees, which is higher than the best available price of 50 cents.
By placing a limit order at 50 cents, you could buy up the 50 available contracts, then wait until more are available at that price to fill the remaining.
7) Can Help Lock In Profits
Limit orders aren’t just for getting into a trade. They can help on the way out, too.
If a contract moves in the trader’s favor, a sell order can be posted at a target price instead of forcing a live decision in the moment, making it easier to take profits with some discipline instead of trying to pick the top by hand.
It also helps turn the trade into more of a plan. The trader can decide ahead of time where the entry makes sense and where to take gains.
The order won’t always get filled, but the exit is mapped out before the market starts moving again.
8) Sometimes Comes With Extra Incentives
On some order-book platforms, limit orders can do more than improve price control. Kalshi is a good example, because resting limit orders can qualify for added incentives.
Kalshi’s Liquidity Incentive Program rewards traders for posting resting orders that improve market depth. Traders who add liquidity by posting a price are treated more favorably than traders who take the available price right away.
Kalshi also runs a Volume Program, which offers rebates based on total monthly trading volume. For higher-volume traders, that gives limit orders another advantage beyond just getting a better entry or exit.
So a limit order is not only about naming a price. In some cases, it can also help the trader avoid certain fees, earn liquidity-based rewards, or trade in ways the platform actively encourages.
Risks of Limit Orders
Limit orders give traders more control over price, but less certainty of execution.
On prediction market apps, this creates a different set of risks than market orders. A limit order may not fill at all, may fill only partially, or may remain open long enough to become a problem if the market moves or new information comes out.
1) Orders May Not Fill at All
A limit order may never execute.
If the market never reaches the price a trader sets, the order stays open until it’s canceled, expires, or the market resolves. That can be frustrating if the trade idea is right, but the order price was too aggressive to get filled.
That’s the tradeoff with asking for a better number. A trader can be right on direction and still miss the trade because the market never comes back to the entry they wanted.
In prediction markets, where prices can move quickly in response to news or live events, missed execution is often the main cost of tighter price control.
2) Orders May Only Fill Partially
Even if the market reaches your price, the full order may not execute. A limit order can fill only in part when there isn’t enough liquidity available at that level. Whatever remains stays open unless the trader cancels it or the order expires.
Queue position matters too. If other traders post the same price first, they get filled before you. A trader can have the right number and still get only a partial fill because older resting orders are ahead in line.
Partial fills are more common in lower-liquidity markets or around popular price levels where multiple traders are waiting at the same number.
3) New Information Can Turn a Good Price Into a Bad One
A limit order doesn’t adjust when the market changes unless you manually update it. Once the price is set, it stays there until the order fills, gets updated, canceled, or expires.
New information can make an open order stale very quickly. A price that looked attractive a few minutes earlier may no longer make sense after a major update.
Say a trader places a buy order in an election market at a level that looks favorable. Then a major scandal breaks and the market reprices sharply lower. If the order is still resting at the old number, it could fill at a price that no longer matches the new outlook.
A limit order gives more control over price, but it can also leave a trader exposed when the market moves faster than the order gets updated.
4) Resting NO Orders Can Be Dangerous in Live or Fast-Moving Markets
Resting orders get riskier in live or event-driven markets, where the picture can change fast. An order that looks fine before the event starts can turn into very cheap liquidity for someone else once new information hits.
Take a mentions market like “What will Adobe say on its next earnings call?” Say a trader posts a No limit order on “Qualcomm” before the call, but it doesn’t fill right away.
A few minutes later, Adobe says “Qualcomm” on the call. At that point, the market will immediately go to Yes.
Every No order has a corresponding Yes. For example, and 55 cent No limit order means someone can buy Yes for 45 cents.
In this scenario, your order for No will immediately get filled, and you'll lose.
That’s one of the clearest risks of leaving passive orders out there too long, especially while the event is going on.
To avoid this, you can set an expiration date on the order. For example, Kalshi lets you automatically cancel non-filled resting orders at the event start time.
5) Limit Orders Can Be Filled When the Other Side Knows More Than You
Limit orders can expose traders to adverse selection. In simple terms, that means an order often gets filled when the other side thinks the price is good for them and bad for you.
A fill can be a sign that the market has moved or that someone else got the information first.
That risk is real in prediction markets, where prices can shift in response to headlines, score changes, official calls, and scheduled data releases. A passive order may look patient and disciplined, but in the wrong market, it can just be stale pricing for faster traders.
That doesn’t make limit orders bad. It just means they work best when the trader knows how fast fair value can change.
6) Orders Can Be Canceled Automatically If Funds Aren’t Available
A limit order only stays active if there’s enough cash or collateral in the account to support it. If those funds are no longer available, the platform can cancel the order on its own.
For example, a buy order for 200 shares at 50¢ would need $100 in buying power. If your cash balance drops below $100 because of another trade, a withdrawal, or funds tied up elsewhere, your limit order will be canceled.
So even if the platform accepts the order when it’s placed, that doesn’t guarantee it will remain in the book.
While you can always resubmit the order once you have more cash available, this is a hassle, especially if you have 10+ limit orders canceled at once.
7) Expiration and Platform Rules Can End the Order Earlier Than Expected
Not every limit order stays open until the trader cancels it. Some expire at a set time, some disappear when the market resolves, and some are removed based on platform-specific rules.
That can catch traders off guard, especially if the plan is to place the order and leave it alone. Depending on the platform, the order might expire at the end of the day, at the start of the event, when the market settles, or when its time-in-force expires.
So one risk isn’t just bad timing on a fill. Another is assuming the order will still be there later, when the platform may have already removed it.
Strategies for Placing Limit Orders on Prediction Markets
Limit orders are most useful when they’re part of a plan, not just a fallback from a market order. In prediction markets, prices can move quickly, liquidity isn’t always consistent, and fees can have a real effect on the trade.
Because of that, placement matters almost as much as the order type itself. The goal is usually to improve your price without dropping your chances of getting filled too far.
The right approach can change from one market to the next. Spread, depth, and how fast the event is moving all play a role. Here are a few tips that can help traders place limit orders more effectively.
1) Bid At the Highest Bid Price to Give Your Order a Higher Chance of Getting Filled
If you want something to get filled, but want to pay lower fees or get a better price, I recommend placing a limit order at the current highest bid or 1¢ above it.
If the best ask is 69¢ and the best bid is 65¢, a buy at 65¢ or 66¢ can improve the entry price while giving your order a good chance of getting filled.
On order-book markets, that means joining the best bid or stepping in front of it by a cent instead of giving up the full spread. It’s a useful approach when the goal is to get a better number without pricing the order so far out that it has no real chance of filling.
2) Check Your Limit Orders Regularly
A resting order only makes sense as long as the reasoning behind it still holds. Prediction markets can reprice fast when new information changes the odds, and the order won’t adjust on its own.
That’s why open limit orders need to be checked, especially in markets tied to live games, headlines, earnings calls, debates, or election news. Leave an order out there too long, and it can turn stale.
A good habit is to review open orders whenever something meaningful changes or whenever the market moves far enough from your original view. Some platforms make that easier with open-order tabs, timers, or alerts, but the trader still has to stay on top of it.
3) Use Laddered Orders to Scale Into Positions
Instead of placing one big buy order at a single price, traders can break the position into smaller limit orders at different levels. So rather than buying everything at 55¢, they might place orders at 55¢, 52¢, and 49¢.
That way, exposure builds gradually if the market moves lower. It’s a useful approach in volatile markets, where prices can overshoot before settling back.
It also reduces the risk of putting too much money to work on one number. Rather than trying to nail the perfect entry, the trader spreads the position across a range they’re comfortable buying.
A simple ladder could look like this: buy 30 shares at 55¢, 30 at 52¢, and 40 at 49¢. In a market with uneven liquidity, that can be easier to manage than going all in at one price.
4) Scale Out of Positions
The same idea works on the way out. If a trade moves in your favor, you don’t have to sell the whole position at once.
You can place multiple sell limits at higher prices and let the market take you out in pieces. For example, if you bought around 45¢, you might set sell orders at 55¢, 60¢, and 65¢.
That gives you a way to take profits without trying to nail the exact top. It can also help you avoid holding too long and giving back a good exit.
5) Buy Dips or Sell Spikes
Limit orders can help when a market overreacts in the short term. If price drops too far too fast, you can leave buy orders below the market and wait for the dip to come to you. If the price jumps too high too quickly, you can do the same on the sell side.
This works better in markets that are swinging around than in markets that are repricing for a real reason. If the underlying odds have truly changed, a limit order based on the old number can turn into a bad trade.
So the key is to use this approach when the move looks overdone, not when the market is adjusting to meaningful new information.
6) Place Limit Sell Orders Right After Entering
One good habit in event trading is thinking about the exit as soon as the position is open. You can place a sell limit at the target price right after buying, instead of waiting to make that call later.
That can help in fast markets, where a profitable move may come and go quickly. If the contract reaches the target, the order is already sitting there.
It doesn’t guarantee the exit gets filled, but it gives the trade more structure. The profit-taking decision is made before the market gets noisy.
7) Act as a Market Maker in Lower-Liquidity Markets
In markets with less liquidity, some traders post both buy and sell limit orders around the current price. The goal is to provide liquidity on both sides and try to earn the spread if other traders trade into those numbers.
It’s a more advanced style than posting a single buy or sell order. The main risk is getting filled on the wrong side after new information hits, and the market moves fast.
For that reason, it works better in slower markets where prices aren’t repricing all at once. It usually needs active management, not a set-it-and-forget-it mindset.
8) Use Historical Price Ranges as a Guide
If a market keeps trading in the same range, that range can help with limit placement. Say a contract has been bouncing between 42¢ and 58%. In that case, buys may make more sense near the low end, while sells near the high end.
It’s not a guarantee that the range will hold. It’s just a useful reference point when nothing new has significantly changed the market.
The past range should be treated as context, not a rule. Once fair value changes, the old band can break down fast.
9) Cancel “No” Orders on Mentions Markets Once the Event Starts
This is one of the more important habits in live mentions markets. A resting No order can turn bad very quickly once the event starts and new information begins coming in.
Take a market like “What will Adobe say on its next earnings call?” If you leave a No order open on Qualcomm during the call, and Adobe says “Qualcomm,” that order will fill immediately and you'll lose.
In that spot, the order gets filled immediately because every No has a corresponding Yes.
For live mentions markets, the safer move is usually to cancel resting No orders once the event begins, unless they’re being watched closely in real time. You can typically do this by setting an expiration date/time when placing the order.
Order Book Markets vs. AMMs
Prediction markets generally rely on one of two trading models: order books or automated market makers (AMMs). The difference is important because it shapes how prices are formed, how liquidity appears, and how limit orders work in practice.
In an order-book market, traders post bids and asks at specific prices, and trades happen when those prices meet. If there is no immediate match, an order can stay in the book until another trader is willing to take the other side. This is the most natural setting for limit orders, since the trader is effectively naming a price and waiting for the market to meet it.
AMMs work differently. Rather than pairing one trader with another, the platform adjusts prices through a formula as users place trades. That means price is determined by the system itself rather than by two users agreeing at a shared bid-and-ask level.
That structure can make a market feel more continuously liquid, but execution works differently under the hood. You are interacting with a pricing system rather than another participant’s posted order.
That’s the key reason limit orders fit more naturally on order-book platforms.
On an order book, a limit order usually means joining a queue at a chosen price.
In an AMM-based system, similar behavior may exist, but the platform usually has to recreate it indirectly rather than through a traditional bid-and-ask book.
Examples of AAM-based prediction markets include FanDuel Predict, DraftKings Predictions, and Underdog Predict.
