Prediction Markets Are Tightening Rules to Stop Insider Trading

Prediction Markets Are Tightening Rules to Stop Insider Trading
Kalshi, a U.S. prediction market platform that operates under federal rules, is now asking users about their jobs before they can trade on certain markets. The company announced the change in June 2026 as part of a plan to prevent insider trading — when someone with secret information uses it to make unfair bets.
Prediction markets let people bet on whether future events will happen: Will a candidate win an election? Will a company's stock go up? As these markets have grown, government regulators have started paying closer attention. Kalshi is officially regulated like a stock exchange, which means it has to follow stricter rules than most other prediction platforms.
What Kalshi Is Doing
The platform is making two main changes. First, it has built in a technical system that stops political candidates from betting on contracts tied to their own campaigns. This is more reliable than simply asking people to self-report — asking people to be honest hasn't always worked in the past.
Second, Kalshi will ask users about their employment when they sign up or when they want to access high-risk markets. If someone works in a job that might give them insider information — say, as a campaign advisor or policy consultant — the platform will take a closer look at what they want to do before letting them trade.
This builds on rules Kalshi already had. The platform already blocks certain finance professionals from trading — people at big financial firms who might have access to information that could give them an unfair edge. The new employment check is an expansion of that approach.
Why Insider Trading in Prediction Markets Matters
In stock markets, insider trading has been illegal for decades. Regulators and law enforcement know how to spot it and punish it. Prediction markets are different in an important way: the "inside information" that matters isn't a hidden financial report or a secret deal — it's advance knowledge of whether something will actually happen.
Think of it this way. A campaign staffer who knows their candidate is about to quit has the same kind of unfair advantage as a banker who knows two companies are about to merge. A lobbyist who learns that new regulations are coming can bet on the outcome the same way a trader might bet after getting a leak about a government report. The people with the secret information can make trades that aren't fair to everyone else.
Kalshi's response is to match what it knows about a user's job with what they're trying to bet on. But there's a real question here: is asking people about their jobs enough to catch the problem.
The trickier issue is that employment information gets outdated. If someone was working in marketing two years ago but just moved to a policy role, the old information won't catch that they might now have insider knowledge. Kalshi would need to check in regularly or ask again when someone changes jobs for this system to stay reliable. The company has not yet said publicly how it will handle that.
The Regulatory Picture
Kalshi won a court fight against federal regulators in 2024 that allowed it to keep offering bets on political events. That victory put the platform in the spotlight — and also raised expectations. The regulators who oversee Kalshi have rules about preventing market manipulation and unfair trading. Kalshi now has to prove it takes those rules seriously.
There is a pattern from earlier technology shifts. When online stock brokerages first arrived, they resisted asking customers for personal information because it slowed down sign-ups and annoyed users. But as those businesses grew bigger and regulators paid more attention, they built better systems to verify who their customers were. The early movers who did this voluntarily were better off when the rules eventually tightened. Prediction markets may be going through something similar now, but it's happening much faster.
What This Means for Users
For regular traders on Kalshi, the main impact will be answering a few questions about their job during setup or when they first try a risky market. It's roughly the same friction that any regulated brokerage already uses.
For professional traders — especially people working in policy, finance, or government consulting — the change is more significant. They may have to talk to Kalshi's compliance team before they can access certain high-profile markets. It's the difference between just being trusted to tell the truth and having to show that you've been vetted.
For other prediction market platforms that don't have these rules — especially ones operating from overseas — Kalshi's moves set a new standard. As regulators around the world think about how to oversee prediction markets, they will probably use Kalshi's approach as a reference point.
What Happens Next
Kalshi has not yet said which markets count as "high-risk" or exactly which jobs will trigger a closer look. Those details will matter a lot. A narrow list won't scare away traders. A very broad list might chill trading even in markets that don't have real insider-trading risk.
The candidate-trading block — where the system actually prevents the bet from going through — is the stronger of the two tools. Employment information is only as good as the honesty of the person providing it and how recent it is. Kalshi will need systems in place to keep that information fresh and accurate.
What the company is building is a compliance framework designed to survive the next wave of government oversight of prediction markets. It's more sophisticated than anything the industry has tried before. The real test will be whether the systems Kalshi is putting in place — checking employment history, running technical blocks, operating as a regulated exchange — actually work well enough to hold up when regulators take a harder look.


