Polymarket vs Kalshi: Which Prediction Market Should You Trade?
A detailed comparison of the two biggest prediction markets: fees, liquidity, market selection, regulation, and which platform is better for automated trading.
Head-to-Head Comparison
We've traded millions of dollars across both platforms. Here's our honest take on where each one shines and where they fall short.
If you're getting into prediction market trading in 2026, you have two serious options: Polymarket and Kalshi. Both let you bet on real-world events. Both have grown massively since the 2024 election cycle. But they're fundamentally different platforms with different strengths.
We've run automated strategies on both for over a year. Here's what we've learned.
1The quick comparison
2Liquidity and market depth
Polymarket wins on raw liquidity, and it's not close. During the 2024 election, Polymarket had over $3 billion in trading volume. Major political markets regularly carry $50M+ in open interest. This means tighter spreads and less slippage when you're executing large orders.
Kalshi's liquidity has improved significantly (they processed over $1B in 2025), but it's still concentrated in a smaller number of markets. Their political and economic markets are reasonably liquid, but many niche categories have thin order books.
Why liquidity matters for bots
3Market selection and variety
This is where the philosophical difference between the platforms shows up.
Polymarket: The Wild West
- Crypto prices, DeFi events
- Politics (global, not just US)
- Pop culture, sports, memes
- Community-requested niche markets
- New markets added rapidly
Kalshi: The Regulated Market
- Economics (GDP, CPI, jobs)
- Weather (temperature, rainfall)
- US politics and elections
- Fed decisions, government data
- Clear, standardized resolution
For automated trading, Polymarket's variety is both a blessing and a curse. More markets mean more opportunities, but also more noise. Kalshi's curated approach means fewer markets but more reliable resolution criteria, which matters a lot when you're building a system that trades without human supervision.
4Fees and cost structure
Polymarket Fees
Polymarket charges approximately 2% on winnings. If you buy YES at $0.60 and it resolves to $1.00, you pay 2% on the $0.40 profit, about $0.008 per share. No fee on losing trades.
Cost on a $1,000 profit
~$20
Kalshi Fees
Kalshi charges $0.01-0.03 per contract on both buying and selling. The exact fee depends on the price, and cheaper contracts have lower fees. You pay on every trade, win or lose.
Cost on a $1,000 profit
~$15-30
For high-frequency strategies (lots of small trades), Kalshi's per-contract fee can add up. For concentrated bets (fewer, larger trades), Polymarket's percentage-of-winnings model is usually cheaper. Neither fee structure is a dealbreaker.
5Regulation and trust
This is Kalshi's biggest selling point. They're a CFTC-regulated Designated Contract Market (DCM). Your funds are held in segregated accounts. If Kalshi goes under, your money is protected. They have real compliance infrastructure, real audits, and real legal accountability.
Polymarket is... not that. It's a crypto-native platform running on Polygon. Your funds are in a smart contract. While Polymarket has been reliable so far, there's no regulatory backstop. If something goes wrong (a smart contract bug, a dispute over resolution, or a platform shutdown), your recourse is limited.
The counterpoint to regulation
6Which is better for automated trading?
This is what we care about most, and the answer depends on your strategy.
For arbitrage and cross-market strategies → Polymarket
More markets, more logical mispricings, on-chain transparency lets you monitor every trade. The sheer variety creates opportunities that don't exist on Kalshi.
For data-driven signal trading → Kalshi
Kalshi's weather and economic markets have well-defined resolution criteria. When you're building a bot that compares NOAA data to market prices, you need resolution rules you can trust completely.
For maximum edge → Both
The best approach is running strategies on both platforms. Different markets, different inefficiencies, uncorrelated returns. This is what we do at ClydeScan.
The real answer isn't "Polymarket or Kalshi." It's "Polymarket AND Kalshi." The best traders in 2026 are running strategies across both platforms, capturing edge wherever it appears.
Trade both platforms, automatically
ClydeScan runs 8 alpha strategies across Polymarket, with Kalshi support coming soon.