Last March, I watched a Fed contract sit at 34 cents for nearly two hours after the jobs report dropped. The number was hot. Anyone paying attention knew a rate cut in May was basically dead. But the market hadn't moved. I bought 200 contracts at 34, sold half at 19 cents an hour later, and let the rest expire worthless at zero after the next FOMC meeting. That kind of lag happens more often than you'd think. The hard part is knowing where to look.
A contract is mispriced when its market price diverges from a reasonable probability estimate. That's it. The trick is figuring out what "reasonable" means when you're betting on things like Fed decisions, weather events, or whether a bill passes Congress.
Mispricings on Kalshi tend to fall into a few categories:
None of this is guaranteed money. I've been wrong plenty of times, convinced I spotted an edge that turned out to be my own blind spot. But the framework helps me at least know what I'm looking for.
The fastest way I find mispricings is sitting on top of scheduled news. Economic releases, Fed announcements, court rulings, congressional votes. Anything with a known time and high information density.
Here's my process:
The CPI markets are a good example. If year-over-year inflation comes in at 3.4% and the "CPI above 3.3%" contract is still sitting at 72 cents, someone fell asleep. That's a pure arithmetic edge. It won't last long, but it doesn't need to.
This one takes more work but often produces the cleanest trades. The idea is simple: find two or more contracts whose prices imply contradictory things about the world.
Say you're looking at Fed decision markets. If the December rate decision contract implies an 80% chance of a cut, but the January contract implies a 40% chance of rates being at the same level they are today, something doesn't add up. Either the December market is too high or the January market is pricing in a hike nobody's talking about.
I keep a spreadsheet where I back out implied probabilities from related contracts and check them against each other. It's tedious, but it surfaces trades I wouldn't find just scrolling the app.
Kalshi shows you the order book. Use it.
A contract might show a last trade at 45 cents, but if the current bid is 38 and the ask is 52, that 45 is meaningless. The real question is: where can I actually get filled?
I look for situations where:
This is more art than science. I'm wrong about order flow more than I'm right. But paying attention to the book has kept me from chasing bad prices more than once.
Most days, I don't trade at all. That's fine. The goal isn't activity. It's finding spots where I have a genuine edge.
I maintain a running watchlist of contracts where I have a view but the price isn't there yet. If I think a certain weather market is mispriced but not by enough to cover the spread and the risk, I wait. Sometimes the market comes to me. Sometimes it doesn't.
If you want to see how I think through setups in real time, I share some of that in @Kalshi_market on Telegram. It's not a tip sheet. Just me talking through what I'm watching and occasionally being wrong in public.
People sometimes ask me why mispricings exist at all on Kalshi, given it's a CFTC-regulated exchange with real money and KYC requirements. Shouldn't it be efficient?
The short answer is that prediction markets are still small and new in the U.S. Liquidity is thinner than major futures markets. Retail participation means sentiment can push prices away from fundamentals. And frankly, not that many people are running models against these contracts yet.
That's the opportunity. It won't last forever. But right now, if you're willing to do the work, you can sometimes find yourself on the right side of a trade that a more efficient market would have priced away.
You don't need anything fancy. I use a spreadsheet to track implied probabilities across related contracts, a news feed for scheduled economic releases, and the Kalshi app itself. The order book and price history are built in. Some traders build scrapers or alerts, but I've found manual monitoring works fine if you're focused on a few markets rather than trying to watch everything.
It depends on news flow and market activity. During busy weeks with Fed meetings, CPI releases, or major political events, I might see two or three interesting setups. During quiet stretches, I might go a week or more without finding anything worth trading. The mispricings are there, but they're not constant. Patience matters more than screen time.
Absolutely. A contract that looks mispriced might just reflect information you don't have. Or the market could be right and your model could be wrong. I've lost money on trades I was confident about. Prediction markets are speculative. Even when you have an edge, variance can hurt you on any single trade. Size your positions accordingly.
Similar concept, different mechanics. Sports arbitrage usually involves locking in guaranteed profit across multiple books. On Kalshi, you're typically taking a directional view that a contract is wrong, not hedging across platforms. The contracts are also binary and settle to zero or one dollar, which simplifies the math but means you're exposed to being wrong. It's closer to trading options on news than classic arb.
Not financial advice. I trade my own money and you can lose yours. Do your own research.