Polymarket vs Kalshi: Complete Guide for Institutional Investors
10 minPredictEngine TeamGuide
# Polymarket vs Kalshi: Complete Guide for Institutional Investors
**Polymarket and Kalshi are the two dominant prediction market platforms competing for institutional capital in 2024–2025**, but they serve meaningfully different use cases, operate under different regulatory frameworks, and attract different types of liquidity. For institutional investors evaluating either platform, the core distinction is simple: Kalshi is a CFTC-regulated U.S. exchange offering legally compliant event contracts, while Polymarket is a decentralized, blockchain-based platform with deeper liquidity pools and broader global market coverage. Choosing the right venue — or deploying capital on both — requires a clear-eyed analysis of fees, market depth, counterparty risk, and operational infrastructure.
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## Why Institutional Investors Are Paying Attention to Prediction Markets
Prediction markets have moved from academic curiosity to serious financial infrastructure. During the 2024 U.S. presidential election cycle, **Polymarket processed over $3.6 billion in trading volume**, with single markets topping $500 million in notional value. Kalshi, meanwhile, reported record volumes on its election contracts after winning a landmark legal battle against the CFTC that cleared the way for political event contracts on U.S.-regulated exchanges.
For institutions — hedge funds, family offices, quantitative trading firms, and proprietary trading desks — the appeal is straightforward:
- **Uncorrelated alpha**: Prediction market returns have low correlation to traditional asset classes
- **Information arbitrage**: Markets aggregate dispersed information faster than most traditional data sources
- **Hedging utility**: Firms can hedge binary outcome risks (elections, regulatory decisions, earnings beats) directly
- **Liquidity access**: Both platforms now offer programmatic API access for algorithmic strategies
Platforms like [PredictEngine](/) are already helping sophisticated traders automate their market-making and arbitrage strategies across these venues, making the infrastructure question even more urgent.
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## Platform Overview: Structure and Regulatory Status
### Polymarket
**Polymarket** operates as a decentralized prediction market built on the **Polygon blockchain**. It uses USDC as its settlement currency and relies on the **UMA Protocol** for dispute resolution. Because it operates offshore (incorporated outside the U.S.) and uses smart contracts rather than a central clearinghouse, it sits in a legal gray zone for American participants — U.S. persons are technically prohibited from using the platform.
Despite that restriction, Polymarket has attracted enormous global liquidity. Its order books routinely carry **$10M–$50M+ in open interest** across major political and economic markets. Market makers — many of them quantitative funds — provide tight spreads on high-volume contracts.
### Kalshi
**Kalshi** is a Designated Contract Market (DCM) regulated by the **Commodity Futures Trading Commission (CFTC)**. This makes it the only major prediction market where U.S. institutions can participate without regulatory ambiguity. Kalshi offers contracts on elections, economic indicators, weather events, Federal Reserve decisions, and more.
The regulatory clarity comes with trade-offs. Kalshi's liquidity is thinner than Polymarket's on most contracts, and its market selection — while growing — is more limited. However, its compliance infrastructure (KYC, AML, institutional onboarding) is significantly more robust.
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## Head-to-Head Comparison: Key Metrics for Institutions
| Feature | Polymarket | Kalshi |
|---|---|---|
| **Regulatory Status** | Unregulated / offshore | CFTC-regulated DCM |
| **U.S. Institutional Access** | Restricted (U.S. persons prohibited) | Fully available |
| **Settlement Currency** | USDC (crypto) | USD (fiat) |
| **Typical Market Depth** | $10M–$500M+ per major market | $100K–$5M per market |
| **Fee Structure** | ~2% maker/taker; varies by market | 7% of winnings (flat fee) |
| **API Access** | Yes (REST + WebSocket) | Yes (REST API) |
| **Dispute Resolution** | UMA Protocol (decentralized) | CFTC oversight + internal |
| **Market Variety** | Very broad (crypto, politics, sports, science) | Curated (economics, elections, weather) |
| **Custody Risk** | Smart contract / self-custody | Centralized (USD held at custodian) |
| **Minimum Position Size** | ~$1 (effectively no minimum) | $0.01 per contract |
| **Institutional Onboarding** | Informal / offshore entity structures | Formal KYC/AML, entity accounts |
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## Liquidity Analysis: Where Is the Real Money?
Liquidity is the single most important factor for institutional traders, and here **Polymarket wins decisively** on headline volume numbers. During the 2024 election cycle, Polymarket's Trump vs. Harris presidential market alone saw over **$350 million in trading volume** in the final two weeks before Election Day. Bid-ask spreads on major markets regularly compressed to **0.2–0.5 cents per share**, making large position entry and exit feasible.
Kalshi, by contrast, typically sees tighter spreads on lower-volume markets but struggles to accommodate large block trades without meaningful price impact. An institution looking to put **$1M+ into a single position** will face significantly more slippage on Kalshi than on Polymarket.
However, **Kalshi's liquidity is improving rapidly**. Following its legal victory in 2024, institutional market makers began migrating to the platform, and volume on major economic indicator markets (CPI outcomes, Fed rate decisions) has grown by an estimated **300%+ year-over-year**.
For strategies involving [prediction market arbitrage approaches](/blog/prediction-market-arbitrage-approaches-compared-predictengine), the liquidity gap between platforms also creates cross-venue arbitrage opportunities that sophisticated desks are already exploiting.
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## Fee Structures and Cost of Capital
Understanding the true cost of trading on each platform requires looking beyond headline fees.
### Polymarket Fee Breakdown
- **Market creation fee**: Variable (paid by market creators)
- **Trading fee**: Approximately 2% per side on most markets (varies)
- **USDC conversion**: Institutions must account for fiat-to-USDC conversion costs and gas fees on Polygon (typically negligible — under $0.01 per transaction)
- **Withdrawal friction**: Converting USDC profits back to USD involves bridge and off-ramp fees
### Kalshi Fee Breakdown
- **Trading fee**: **7% of net winnings** on most contracts
- **No per-trade commission**: Fees are only charged on profitable outcomes
- **No gas fees**: Fiat-based, no blockchain friction
- **ACH/wire transfer**: Standard banking costs apply
For high-frequency or market-making strategies, Polymarket's per-trade fee structure is generally more favorable. For long-shot binary bets where the institution wins rarely but wins big, Kalshi's 7%-of-winnings model can be more expensive on an expected-value basis.
Institutions running [algorithmic swing trading predictions with limit orders](/blog/algorithmic-swing-trading-predictions-with-limit-orders) need to model these fee structures carefully into their execution algorithms.
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## Regulatory and Compliance Considerations
This is where Kalshi holds an undeniable structural advantage for U.S.-domiciled institutions.
### Kalshi's Compliance Edge
- **CFTC oversight**: Provides institutional clients with a clean regulatory wrapper
- **Segregated customer funds**: Protected in the event of platform insolvency
- **1099 tax reporting**: Simplifies tax compliance (see also our [tax guide for prediction markets](/blog/tax-guide-weather-climate-prediction-markets-explained))
- **Audit trails**: Full transaction history available for compliance teams
- **No crypto exposure**: USD settlement eliminates digital asset compliance headaches
### Polymarket's Regulatory Risks
- U.S. persons are **prohibited** from using Polymarket; participating via VPN or offshore entities creates legal risk
- No CFTC or SEC oversight means no investor protection mechanisms
- Smart contract bugs or UMA oracle failures could result in **unrecoverable losses**
- USDC exposure introduces stablecoin-specific risks (depeg risk, Blackrock/Circle counterparty risk)
Non-U.S. institutions — particularly European family offices, Asian hedge funds, and offshore quantitative firms — face fewer restrictions on Polymarket and can access its superior liquidity without regulatory concern.
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## Operational Infrastructure for Institutional Deployment
### How to Get Started on Kalshi (Step-by-Step)
1. **Complete institutional onboarding**: Submit entity documentation, KYC/AML materials, and beneficial ownership information
2. **Fund your account**: Wire USD to Kalshi's custodian bank account
3. **Request API credentials**: Apply for programmatic trading access through Kalshi's institutional portal
4. **Integrate the REST API**: Connect your execution management system (EMS) or algorithmic trading infrastructure
5. **Set position limits and risk parameters**: Configure maximum exposure per market and overall portfolio limits
6. **Begin paper trading**: Run strategies in simulation mode before committing live capital
7. **Go live with limited size**: Scale up gradually as you validate execution quality and slippage assumptions
### How to Access Polymarket Institutionally
1. **Establish an offshore entity**: Work with legal counsel to structure participation through a non-U.S. entity
2. **Set up a USDC wallet**: Use a custodial wallet (Fireblocks, BitGo) or institutional self-custody solution
3. **Bridge USDC to Polygon**: Transfer funds via the official Polygon bridge or a liquidity aggregator
4. **Access the Polymarket API**: Use the CLOB (Central Limit Order Book) API for programmatic order placement
5. **Implement smart contract interaction monitoring**: Watch for UMA dispute events that could affect position settlement
6. **Establish an off-ramp workflow**: Pre-arrange USDC-to-fiat conversion with a prime broker or OTC desk
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## Strategy Considerations: Which Platform Fits Which Approach?
Different institutional strategies map better to different platforms:
### Political and Macro Event Trading
**Polymarket wins** for raw liquidity and market depth. Institutions trading large notional sizes on presidential elections, central bank decisions, or geopolitical events will find better execution. For deeper strategy frameworks, see our guide on [advanced presidential election trading strategies](/blog/advanced-presidential-election-trading-strategies-for-new-traders) and [geopolitical prediction markets AI risk analysis](/blog/geopolitical-prediction-markets-ai-agent-risk-analysis).
### Regulatory-Compliant Hedging
**Kalshi wins** for U.S. institutions that need a clean regulatory wrapper. A fund holding large equity positions ahead of a Fed decision can hedge using Kalshi rate contracts without triggering crypto compliance concerns.
### Arbitrage and Market Making
**Both platforms** offer opportunities. Cross-venue arbitrage between Polymarket and Kalshi is actively practiced by quantitative firms — price discrepancies on identical events can reach **3–8%** and often persist for minutes or hours. Tools built on [PredictEngine](/) can help automate this monitoring.
### Earnings and Corporate Event Predictions
Both platforms offer coverage, but Polymarket typically has deeper markets. Our analysis of [NVDA earnings risk via AI agents](/blog/nvda-earnings-risk-analysis-how-ai-agents-predict-results) shows how prediction market prices can complement traditional earnings forecasting models.
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## Risk Management for Institutional Participants
**Counterparty and smart contract risk** is the biggest operational concern on Polymarket. Institutions should:
- Never hold more than they're willing to lose in a single smart contract deployment
- Monitor UMA oracle disputes actively — disputed markets can take **days to resolve**
- Use USDC from established issuers and maintain diversified stablecoin exposure
- Set hard stop-loss rules given the binary nature of prediction contracts
On Kalshi, the primary risks are **platform concentration** (single regulated entity) and **liquidity risk** on exit. Thin order books mean large positions may need to be liquidated at significant discounts.
Both platforms expose investors to **resolution risk** — the possibility that a market resolves unexpectedly or in a contested manner. This is particularly relevant for political markets where results are certified over days or weeks after Election Day.
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## Frequently Asked Questions
## Is Kalshi legal for U.S. institutional investors?
Yes. **Kalshi is a CFTC-regulated Designated Contract Market**, making it the only major prediction market platform that U.S. institutional investors can use without regulatory ambiguity. It offers full KYC/AML onboarding, USD settlement, and formal institutional account structures.
## Can U.S. hedge funds use Polymarket?
Technically, **U.S. persons are prohibited from using Polymarket** under its terms of service. Some funds access Polymarket through non-U.S. entity structures, but this carries legal risk and should only be pursued with qualified legal counsel. Non-U.S. institutions face no such restriction.
## Which platform has better liquidity for large trades?
**Polymarket has significantly deeper liquidity** on major markets, particularly for political and macro events. During the 2024 presidential election, single markets exceeded $350 million in volume. Kalshi is improving but is better suited for positions under $500K on most contracts.
## How are prediction market winnings taxed for institutions?
Tax treatment varies by jurisdiction and entity type. In the U.S., prediction market gains are generally treated as **ordinary income or capital gains** depending on holding period and contract structure. Kalshi provides 1099 reporting; Polymarket does not. Consult our [tax guide for prediction markets](/blog/tax-guide-weather-climate-prediction-markets-explained) for a deeper breakdown.
## What fees do institutions pay on Polymarket vs Kalshi?
**Polymarket charges approximately 2% per trade** (maker/taker, varies by market), plus minimal Polygon gas fees. **Kalshi charges 7% of net winnings**, with no per-trade commission. For high-frequency or market-making strategies, Polymarket's structure is typically more cost-efficient. For infrequent, high-conviction trades, Kalshi can be competitive.
## Can prediction markets be used for portfolio hedging?
Yes, and this is one of the fastest-growing institutional use cases. **Binary event contracts on Kalshi** allow U.S. institutions to hedge specific outcome risks — Fed decisions, election results, economic data releases — with defined risk exposure. Polymarket offers similar hedging utility for non-U.S. participants with access to deeper liquidity.
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## Making Your Decision: Polymarket, Kalshi, or Both?
For most institutional investors, the answer isn't Polymarket *or* Kalshi — it's a **deliberate allocation to both**, optimized by regulatory status and strategy type. U.S.-domiciled funds should anchor their compliant activity on Kalshi while evaluating whether offshore entity structures make Polymarket access worthwhile for liquidity-intensive strategies. Non-U.S. institutions should start with Polymarket's superior liquidity and consider Kalshi only if they need USD settlement or specific U.S. regulatory coverage.
The prediction market space is maturing rapidly, and institutional infrastructure is catching up. Whether you're building a macro hedging overlay, running cross-venue arbitrage, or allocating to political alpha as an uncorrelated strategy, getting your platform selection right is foundational.
[PredictEngine](/) is purpose-built for institutional and sophisticated retail traders navigating exactly this landscape — offering automated monitoring, cross-venue analytics, and strategy tooling for prediction market participants. Explore our [pricing and platform features](/pricing) to see how PredictEngine can streamline your prediction market operations, or dive deeper into our [arbitrage tools at /polymarket-arbitrage](/polymarket-arbitrage) to start capturing cross-venue opportunities today.
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