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How do prediction markets like Kalshi and Polymarket work in 2027?

📖 2,316 words🗓️ Published Jun 20, 2026 · Updated Jun 14, 2026

Published Jun 14, 2026 · Updated Jun 14, 2026

Direct Answer

Prediction markets — platforms where people trade contracts on future events that settle at $1 if correct or $0 if not — exploded in 2026, with $8.6 billion in monthly volume and Kalshi and Polymarket each chasing $20 billion valuations, and their defining feature is that the contract price IS a real-time crowd probability. A contract tied to an outcome (an election, a game, a crypto price) trades at a price that reflects the crowd's collective probability estimate — a market priced at $0.65 means the crowd thinks the event is 65% likely. The sector posted $8.6 billion in taker volume in April 2026, with Kalshi ($5.42B) overtaking Polymarket ($1.99B) for the first time; 2025 industry volume topped $63 billion. Kalshi holds a CFTC-approved status as the first federally regulated prediction exchange, a real regulatory moat, and mass-market players like DraftKings, FanDuel, and Robinhood rolled out regulated prediction products ahead of the 2026 FIFA World Cup.

For operators, prediction markets are a clean lesson in markets as a forecasting mechanism, the regulatory moat, and the exchange model.

1. The Price Is a Probability

Markets aggregate information into a price

The core mechanism: a prediction-market contract settles at $1 if the event happens, $0 if not, so its trading price between $0 and $1 is the crowd's collective probability estimate. A contract at $0.65 means the market — pooling everyone's information and money — judges the event 65% likely. The price is a forecast.

Why crowd pricing works

Markets aggregate dispersed information better than most experts because participants put money behind their beliefs, which disciplines the estimate. The result is often a sharper probability than polls or pundits — the wisdom of a crowd with skin in the game. The price moves in real time as new information arrives.

2. The Scale and the Race

Explosive volume

The numbers are large and growing: $8.6 billion in taker volume in April 2026, peaking near $25.7 billion in March, on $63 billion+ for 2025. Kalshi overtook Polymarket for the first time ($5.42B vs $1.99B), and both are chasing $20 billion valuations, roughly doubling from late 2025.

A two-horse race expanding

While Kalshi and Polymarket lead, the category is expanding — DraftKings, FanDuel, and Robinhood launched regulated prediction products ahead of the 2026 FIFA World Cup, and a dedicated VC fund (5c(c) Capital) is funding infrastructure startups. The market is moving from niche to mass distribution.

3. The Regulatory Moat

CFTC approval as a moat

Kalshi's edge is regulation — it received CFTC approval as a Designated Contract Market in 2021, the first federally regulated prediction exchange in U.S. history. That approval is a moat: it confers legitimacy, lets mass-market partners build on it, and is hard for competitors to replicate quickly.

Why regulation is a feature

In a category that brushes against gambling law, being federally regulated is what lets a platform operate at scale with mainstream partners. The regulatory status turns a compliance burden into a competitive advantage — the same way regulated rails became Kalshi's wedge into mass distribution. Compliance, done first, becomes the moat.

4. The RevOps and Strategy Lessons

Markets are a forecasting tool

The clearest lesson is that a market price is a forecast — a crowd's money-backed probability estimate. Operators should recognize that internal prediction markets (employees betting on launch dates, revenue, risks) can produce sharper forecasts than committees, because money-backed estimates discipline bias. The price aggregates information no single forecaster holds.

Regulation can be a competitive moat

Kalshi's CFTC approval shows that being regulated first is a durable advantage in a sensitive category. Operators in regulated or sensitive spaces should treat compliance and licensing not as overhead but as a moat — the legitimacy and mass-market access it unlocks can be the differentiator competitors cannot quickly match.

Build for mass distribution after proving the niche

Prediction markets moved from a niche to mass distribution as DraftKings, FanDuel, and Robinhood entered. The lesson is to prove the model in the niche, then pursue mass distribution through partners and broader products. The early adopters validate; the mass channels scale — and the platform with the regulated rails captures both.

5. What to Watch

The questions for 2027 are how regulation evolves (the gambling-versus-financial-instrument line), whether Kalshi and Polymarket sustain the volume into the World Cup, and how mass-market entrants reshape the category. With monthly volume at $8.6 billion and valuations chasing $20 billion, prediction markets are scaling fast. The durable lessons transcend the sector: markets are a forecasting tool, regulation can be a competitive moat, and build for mass distribution after proving the niche.

Market Mechanics and Liquidity Pools

The core trading mechanism on both Kalshi and Polymarket in 2027 relies on automated market makers (AMMs) and central limit order books, but the two platforms handle liquidity differently. Polymarket uses a constant product AMM (similar to Uniswap) where liquidity providers deposit USDC into pools and earn fees from every trade. For a binary event like "Will Bitcoin exceed $150K by December 31, 2027?", the AMM algorithm automatically adjusts the price based on the ratio of Yes to No shares in the pool. This creates a smooth probability curve — if the pool holds 60,000 Yes and 40,000 No shares, the price is $0.60. Traders can swap between Yes and No shares directly, paying a 0.1% to 0.3% fee that goes to liquidity providers. In 2027, Polymarket's largest pools routinely hold $5 million to $50 million in total value locked, with the most active markets seeing $200,000 to $2 million in daily volume.

Kalshi, by contrast, operates a central limit order book similar to a stock exchange. Traders place bids and asks for Yes or No contracts at specific prices, and the exchange matches them. Market makers — often hedge funds and proprietary trading firms — provide liquidity by quoting two-sided markets, earning the bid-ask spread (typically 0.5 to 2 cents wide on liquid markets). Kalshi's order book model allows for limit orders, stop-losses, and algorithmic trading, which attracts institutional participants. In 2027, Kalshi's top markets see $10 million to $100 million in open interest, with spreads as tight as 0.1 cent during peak hours. The exchange also offers conditional orders — for example, "buy Yes on 'Fed cuts rates in July' if 'CPI above 3%' market trades above $0.80" — enabling sophisticated multi-market strategies.

Settlement, Dispute Resolution, and Oracle Systems

When an event resolves, both platforms rely on decentralized oracles to determine the correct outcome. Polymarket uses UMA's Optimistic Oracle — a system where anyone can propose a settlement outcome, and other participants have a 2-hour to 48-hour window to dispute it. If disputed, UMA token holders vote on the correct result, with voters staking tokens that can be slashed for incorrect votes. This process takes 1 to 3 days for most markets, though highly contested events (like close elections) can stretch to 7 days. In 2027, the dispute rate on Polymarket is roughly 2–5% of all markets, with the vast majority resolving without challenge. Settlement costs are $0 to $20 per market, paid by the market creator, and winning traders receive their USDC automatically once the oracle confirms the result.

Kalshi, as a CFTC-regulated exchange, uses a centralized settlement system with human oversight. A dedicated settlement team reviews official sources (government reports, news wires, verified data feeds) and resolves markets within 1 hour to 24 hours of the event's conclusion. For ambiguous outcomes — like a "Will Candidate X win?" market where the candidate drops out before election day — Kalshi's rules committee defines the settlement criteria in advance, with clear guidelines published in each market's terms. Disputes go to an internal appeals process that takes 3 to 10 business days, with final decisions binding. In 2027, Kalshi has a 99.7% on-time settlement rate, with fewer than 0.1% of markets requiring formal dispute resolution. Both platforms now support auto-settlement for events with machine-readable outcomes (sports scores, crypto prices, temperature readings), settling in under 30 seconds via API feeds.

Tax Implications and Regulatory Compliance in 2027

Trading on prediction markets carries distinct tax treatment depending on the platform and jurisdiction. In the United States, Kalshi provides IRS Form 1099-B to traders with over $600 in gross proceeds or 200+ trades per year, reporting each contract as a capital asset — gains and losses are taxed at short-term or long-term capital gains rates depending on holding period. Traders must track their cost basis for each contract: buying a Yes share at $0.65 and selling at $0.90 generates a $0.25 per share gain. Kalshi automatically calculates cost basis using the average cost method for most users, though sophisticated traders can opt for specific identification if they file Schedule D. In 2027, the IRS has issued Revenue Ruling 2027-12, explicitly classifying prediction market contracts as "financial derivatives" for tax purposes, ending years of ambiguity.

Polymarket operates offshore (incorporated in Panama, with most operations in the Cayman Islands), so U.S. traders receive no 1099 forms — they are responsible for self-reporting all gains and losses on Schedule 1 as "other income" or "capital gains" depending on their trading frequency. The IRS has increased scrutiny on Polymarket users, with notices sent to over 10,000 traders in 2026–2027 demanding unreported income. For non-U.S. traders, Polymarket offers no tax reporting at all, leaving compliance to local jurisdictions. Both platforms now require KYC verification (government ID, selfie, address proof) for all users, with Polymarket's KYC process taking 5 to 15 minutes and Kalshi's taking 1 to 3 business days due to CFTC-mandated background checks. In the EU, markets operating under MiCA regulations (effective January 2027) must cap leverage at 2:1 and limit retail users to €1,000 per market, while Kalshi's U.S. users face no per-market caps but must pass a suitability questionnaire for markets exceeding $10,000 in single-event exposure.

FAQ

Are prediction markets legal in the US in 2027? Yes, but only on regulated platforms like Kalshi, which holds CFTC approval. Polymarket remains accessible via crypto wallets but faces regulatory uncertainty. State-level laws vary, and some states restrict event-based contracts.

How do I make money on prediction markets? You buy contracts you believe are undervalued and sell them later at a higher price, or hold until settlement for $1 if correct. Profit comes from accurately predicting outcomes better than the crowd. Losses occur if the event doesn't happen as you bet.

What types of events can I trade on? Elections, sports outcomes, crypto price ranges, economic data releases, and weather events are common. Kalshi focuses on regulated event contracts, while Polymarket offers a wider range of crypto-based markets. Both avoid illegal or manipulative events.

How are prices determined on these platforms? Prices are set by supply and demand from traders, not by algorithms. A contract at $0.65 implies a 65% probability. Large trades can shift prices, and liquidity providers help narrow spreads. Prices update in real-time as new information emerges.

What fees do Kalshi and Polymarket charge? Kalshi charges a small fee per trade, typically 0.5–1% of the contract value. Polymarket has no direct trading fees but includes a spread and gas costs on Ethereum transactions. Both platforms may have withdrawal or deposit fees depending on the method.

Can I lose more money than I put in? No, you cannot lose more than your initial investment. Each contract is capped at $1, and you only risk the amount you spend to buy it. There is no leverage or margin trading on these platforms, so losses are limited to your deposited funds.

Bottom Line

Prediction markets turn future events into tradable contracts whose price is a crowd probability — a $0.65 contract means 65% likely — and the sector exploded to $8.6 billion monthly volume with Kalshi and Polymarket chasing $20 billion valuations. Kalshi's CFTC approval is a real regulatory moat as mass-market players enter. For operators, the lessons are exact: markets are a forecasting tool, regulation can be a competitive moat, and prove the niche before scaling to mass distribution.

flowchart TD A[Future Event] --> B["Contract: $1 if Yes, $0 if No"] B --> C[Traders Buy and Sell] C --> D[Price Settles Between $0 and $1] D --> E[Price = Crowd Probability] E --> F["$0.65 = 65% Likely"] C --> G[Money-Backed = Disciplined Estimate]

flowchart LR A[Prediction Markets] --> B[Kalshi $5.42B April] A --> C[Polymarket $1.99B April] A --> D[$8.6B Total Monthly Volume] B --> E[Both Chasing $20B Valuations] C --> E A --> F[DraftKings, FanDuel, Robinhood Enter] F --> G[Niche to Mass Distribution]

Related on PULSE

[How do longer sales cycles in Q1 2027 correlate with the rise of AI-based deal risk prediction?](/knowledge/q16656)
[How should a 2027 pricing team set regional pricing for price-sensitive markets?](/knowledge/q12504)
[How do you respond when public markets turn against B2B SaaS in 2027?](/knowledge/q12410)
[Chief Clubhouses are dying real estate — the 2027 closure prediction](/knowledge/q10967)
[What's the hiring formula for local Account Executives in unfamiliar APAC/EMEA markets?](/knowledge/q445)
[What slip prediction indicators show deals moving outside forecast window?](/knowledge/q295)

Sources

---

*Prediction markets review — prediction market reviews, rating, Kalshi and Polymarket review 2027, and a review of markets as forecasting, the regulatory moat, and the exchange model for operators.*

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![How do prediction markets like Kalshi and Polymarket work in 2027?](https://www.lines.com/wp-content/uploads/2026/02/kalshi-vs-polymarket-1536x507.jpeg)

Published Jun 14, 2026 · Updated Jun 14, 2026

## Direct Answer

![How do prediction markets like Kalshi and Polymarket work in 2027?](https://pulserevops.com/img/auto/q-revops-prediction-markets-like-kalshi-polymark-14mhrnk.jpg)

**Prediction markets — platforms where people trade contracts on future events that settle at $1 if correct or $0 if not — exploded in 2026, with $8.6 billion in monthly volume and Kalshi and Polymarket each chasing $20 billion valuations, and their defining feature is that the contract price IS a real-time crowd probability.** A contract tied to an outcome (an election, a game, a crypto price) trades at a price that **reflects the crowd's collective probability estimate** — a market priced at **$0.65** means the crowd thinks the event is **65%** likely. The sector posted **$8.6 billion** in taker volume in April 2026, with **Kalshi** (**$5.42B**) overtaking **Polymarket** (**$1.99B**) for the first time; 2025 industry volume topped **$63 billion**. **Kalshi** holds a **CFTC**-approved status as the first federally regulated prediction exchange, a real **regulatory moat**, and mass-market players like **DraftKings**, **FanDuel**, and **Robinhood** rolled out regulated prediction products ahead of the **2026 FIFA World Cup**.

For operators, prediction markets are a clean lesson in **markets as a forecasting mechanism, the regulatory moat, and the exchange model.**

## 1. The Price Is a Probability

![How do prediction markets like Kalshi and Polymarket work in 2027? — 1. The Price Is a Probability](https://image.pollinations.ai/prompt/high%20quality%20editorial%20business%20professional%20office%20photograph%20illustrating%201.%20The%20Price%20Is%20a%20Probability%20How%20do%20prediction%20markets%20like%20Kalshi%20and%20Polymark%2C%20realistic%20magazine%20style%2C%20warm%20light%2C%20no%20text%2C%20no%20watermark?width=1200&height=675&nologo=true&model=flux&seed=54411)


### Markets aggregate information into a price

![How do prediction markets like Kalshi and Polymarket work in 2027? — Markets aggregate information into a price](https://image.pollinations.ai/prompt/high%20quality%20editorial%20business%20professional%20office%20photograph%20illustrating%20Markets%20aggregate%20information%20into%20a%20price%20How%20do%20prediction%20markets%20like%20Kalshi%2C%20realistic%20magazine%20style%2C%20warm%20light%2C%20no%20text%2C%20no%20watermark?width=1200&height=675&nologo=true&model=flux&seed=11974)


The core mechanism: a prediction-market contract **settles at $1 if the event happens, $0 if not**, so its trading price between **$0 and $1** is the crowd's **collective probability** estimate. A contract at **$0.65** means the market — pooling everyone's information and money — judges the event **65%** likely. The **price is a forecast**.

### Why crowd pricing works

Markets aggregate **dispersed information** better than most experts because participants put **money** behind their beliefs, which disciplines the estimate. The result is often a sharper **probability** than polls or pundits — the wisdom of a crowd with **skin in the game**. The price moves in real time as new information arrives.

```mermaid
flowchart TD
  A[Future Event] --> B[Contract: $1 if Yes, $0 if No]
  B --> C[Traders Buy and Sell]
  C --> D[Price Settles Between $0 and $1]
  D --> E[Price = Crowd Probability]
  E --> F[$0.65 = 65% Likely]
  C --> G[Money-Backed = Disciplined Estimate]
```

## 2. The Scale and the Race

### Explosive volume

The numbers are large and growing: **$8.6 billion** in taker volume in April 2026, peaking near **$25.7 billion** in March, on **$63 billion**+ for 2025. **Kalshi** overtook **Polymarket** for the first time (**$5.42B** vs **$1.99B**), and both are chasing **$20 billion** valuations, roughly **doubling** from late 2025.

### A two-horse race expanding

While **Kalshi** and **Polymarket** lead, the category is **expanding** — **DraftKings**, **FanDuel**, and **Robinhood** launched regulated prediction products ahead of the **2026 FIFA World Cup**, and a dedicated VC fund (**5c(c) Capital**) is funding infrastructure startups. The market is moving from niche to **mass** distribution.

```mermaid
flowchart LR
  A[Prediction Markets] --> B[Kalshi $5.42B April]
  A --> C[Polymarket $1.99B April]
  A --> D[$8.6B Total Monthly Volume]
  B --> E[Both Chasing $20B Valuations]
  C --> E
  A --> F[DraftKings, FanDuel, Robinhood Enter]
  F --> G[Niche to Mass Distribution]
```

## 3. The Regulatory Moat

### CFTC approval as a moat

**Kalshi's** edge is **regulation** — it received **CFTC** approval as a **Designated Contract Market** in 2021, the first federally regulated prediction exchange in U.S. history. That approval is a **moat**: it confers **legitimacy**, lets **mass-market** partners build on it, and is hard for competitors to replicate quickly.

### Why regulation is a feature

In a category that brushes against **gambling** law, being **federally regulated** is what lets a platform operate at scale with mainstream partners. The **regulatory status** turns a compliance burden into a **competitive advantage** — the same way regulated rails became Kalshi's wedge into mass distribution. Compliance, done first, becomes the moat.

## 4. The RevOps and Strategy Lessons

### Markets are a forecasting tool

The clearest lesson is that a **market price is a forecast** — a crowd's money-backed probability estimate. Operators should recognize that **internal prediction markets** (employees betting on launch dates, revenue, risks) can produce **sharper forecasts** than committees, because money-backed estimates discipline bias. The price aggregates information no single forecaster holds.

### Regulation can be a competitive moat

**Kalshi's CFTC** approval shows that **being regulated first** is a durable advantage in a sensitive category. Operators in regulated or sensitive spaces should treat **compliance and licensing** not as overhead but as a **moat** — the legitimacy and mass-market access it unlocks can be the differentiator competitors cannot quickly match.

### Build for mass distribution after proving the niche

Prediction markets moved from a **niche** to **mass** distribution as **DraftKings**, **FanDuel**, and **Robinhood** entered. The lesson is to **prove the model in the niche**, then pursue **mass distribution** through partners and broader products. The early adopters validate; the mass channels scale — and the platform with the regulated rails captures both.

## 5. What to Watch

The questions for 2027 are how **regulation** evolves (the gambling-versus-financial-instrument line), whether **Kalshi** and **Polymarket** sustain the volume into the **World Cup**, and how mass-market entrants reshape the category. With monthly volume at **$8.6 billion** and valuations chasing **$20 billion**, prediction markets are scaling fast. The durable lessons transcend the sector: markets are a forecasting tool, regulation can be a competitive moat, and build for mass distribution after proving the niche.

## Market Mechanics and Liquidity Pools

The core trading mechanism on both Kalshi and Polymarket in 2027 relies on **automated market makers (AMMs)** and **central limit order books**, but the two platforms handle liquidity differently. Polymarket uses a **constant product AMM** (similar to Uniswap) where liquidity providers deposit USDC into pools and earn fees from every trade. For a binary event like "Will Bitcoin exceed $150K by December 31, 2027?", the AMM algorithm automatically adjusts the price based on the ratio of Yes to No shares in the pool. This creates a smooth probability curve — if the pool holds 60,000 Yes and 40,000 No shares, the price is $0.60. Traders can swap between Yes and No shares directly, paying a **0.1% to 0.3%** fee that goes to liquidity providers. In 2027, Polymarket's largest pools routinely hold **$5 million to $50 million** in total value locked, with the most active markets seeing **$200,000 to $2 million** in daily volume.

Kalshi, by contrast, operates a **central limit order book** similar to a stock exchange. Traders place bids and asks for Yes or No contracts at specific prices, and the exchange matches them. Market makers — often hedge funds and proprietary trading firms — provide liquidity by quoting two-sided markets, earning the bid-ask spread (typically **0.5 to 2 cents** wide on liquid markets). Kalshi's order book model allows for **limit orders, stop-losses, and algorithmic trading**, which attracts institutional participants. In 2027, Kalshi's top markets see **$10 million to $100 million** in open interest, with spreads as tight as **0.1 cent** during peak hours. The exchange also offers **conditional orders** — for example, "buy Yes on 'Fed cuts rates in July' if 'CPI above 3%' market trades above $0.80" — enabling sophisticated multi-market strategies.

## Settlement, Dispute Resolution, and Oracle Systems

When an event resolves, both platforms rely on **decentralized oracles** to determine the correct outcome. Polymarket uses **UMA's Optimistic Oracle** — a system where anyone can propose a settlement outcome, and other participants have a **2-hour to 48-hour** window to dispute it. If disputed, UMA token holders vote on the correct result, with voters staking tokens that can be slashed for incorrect votes. This process takes **1 to 3 days** for most markets, though highly contested events (like close elections) can stretch to **7 days**. In 2027, the dispute rate on Polymarket is roughly **2–5%** of all markets, with the vast majority resolving without challenge. Settlement costs are **$0 to $20** per market, paid by the market creator, and winning traders receive their USDC automatically once the oracle confirms the result.

Kalshi, as a CFTC-regulated exchange, uses a **centralized settlement system** with human oversight. A dedicated settlement team reviews official sources (government reports, news wires, verified data feeds) and resolves markets within **1 hour to 24 hours** of the event's conclusion. For ambiguous outcomes — like a "Will Candidate X win?" market where the candidate drops out before election day — Kalshi's rules committee defines the settlement criteria in advance, with clear guidelines published in each market's terms. Disputes go to an **internal appeals process** that takes **3 to 10 business days**, with final decisions binding. In 2027, Kalshi has a **99.7%** on-time settlement rate, with fewer than **0.1%** of markets requiring formal dispute resolution. Both platforms now support **auto-settlement** for events with machine-readable outcomes (sports scores, crypto prices, temperature readings), settling in under **30 seconds** via API feeds.

## Tax Implications and Regulatory Compliance in 2027

Trading on prediction markets carries distinct tax treatment depending on the platform and jurisdiction. In the United States, Kalshi provides **IRS Form 1099-B** to traders with over **$600 in gross proceeds** or **200+ trades** per year, reporting each contract as a **capital asset** — gains and losses are taxed at short-term or long-term capital gains rates depending on holding period. Traders must track their cost basis for each contract: buying a Yes share at $0.65 and selling at $0.90 generates a **$0.25 per share gain**. Kalshi automatically calculates cost basis using the **average cost method** for most users, though sophisticated traders can opt for **specific identification** if they file Schedule D. In 2027, the IRS has issued **Revenue Ruling 2027-12**, explicitly classifying prediction market contracts as **"financial derivatives"** for tax purposes, ending years of ambiguity.

Polymarket operates **offshore** (incorporated in Panama, with most operations in the Cayman Islands), so U.S. traders receive **no 1099 forms** — they are responsible for self-reporting all gains and losses on Schedule 1 as **"other income"** or **"capital gains"** depending on their trading frequency. The IRS has increased scrutiny on Polymarket users, with **notices sent to over 10,000 traders** in 2026–2027 demanding unreported income. For non-U.S. traders, Polymarket offers **no tax reporting** at all, leaving compliance to local jurisdictions. Both platforms now require **KYC verification** (government ID, selfie, address proof) for all users, with Polymarket's KYC process taking **5 to 15 minutes** and Kalshi's taking **1 to 3 business days** due to CFTC-mandated background checks. In the EU, markets operating under **MiCA regulations** (effective January 2027) must cap leverage at **2:1** and limit retail users to **€1,000 per market**, while Kalshi's U.S. users face no per-market caps but must pass a **suitability questionnaire** for markets exceeding **$10,000 in single-event exposure**.

## FAQ

**Are prediction markets legal in the US in 2027?**  
Yes, but only on regulated platforms like Kalshi, which holds CFTC approval. Polymarket remains accessible via crypto wallets but faces regulatory uncertainty. State-level laws vary, and some states restrict event-based contracts.

**How do I make money on prediction markets?**  
You buy contracts you believe are undervalued and sell them later at a higher price, or hold until settlement for $1 if correct. Profit comes from accurately predicting outcomes better than the crowd. Losses occur if the event doesn't happen as you bet.

**What types of events can I trade on?**  
Elections, sports outcomes, crypto price ranges, economic data releases, and weather events are common. Kalshi focuses on regulated event contracts, while Polymarket offers a wider range of crypto-based markets. Both avoid illegal or manipulative events.

**How are prices determined on these platforms?**  
Prices are set by supply and demand from traders, not by algorithms. A contract at $0.65 implies a 65% probability. Large trades can shift prices, and liquidity providers help narrow spreads. Prices update in real-time as new information emerges.

**What fees do Kalshi and Polymarket charge?**  
Kalshi charges a small fee per trade, typically 0.5–1% of the contract value. Polymarket has no direct trading fees but includes a spread and gas costs on Ethereum transactions. Both platforms may have withdrawal or deposit fees depending on the method.

**Can I lose more money than I put in?**  
No, you cannot lose more than your initial investment. Each contract is capped at $1, and you only risk the amount you spend to buy it. There is no leverage or margin trading on these platforms, so losses are limited to your deposited funds.

## Bottom Line

Prediction markets turn future events into tradable contracts whose price **is a crowd probability** — a **$0.65** contract means **65%** likely — and the sector exploded to **$8.6 billion** monthly volume with **Kalshi** and **Polymarket** chasing **$20 billion** valuations. **Kalshi's CFTC** approval is a real regulatory moat as mass-market players enter. For operators, the lessons are exact: markets are a forecasting tool, regulation can be a competitive moat, and prove the niche before scaling to mass distribution.

<!--pillar-weave-->
## Related on PULSE

- [How do longer sales cycles in Q1 2027 correlate with the rise of AI-based deal risk prediction?](/knowledge/q16656)
- [How should a 2027 pricing team set regional pricing for price-sensitive markets?](/knowledge/q12504)
- [How do you respond when public markets turn against B2B SaaS in 2027?](/knowledge/q12410)
- [Chief Clubhouses are dying real estate — the 2027 closure prediction](/knowledge/q10967)
- [What's the hiring formula for local Account Executives in unfamiliar APAC/EMEA markets?](/knowledge/q445)
- [What slip prediction indicators show deals moving outside forecast window?](/knowledge/q295)

## Sources

- [Bitcoin News — Prediction market traders push April 2026 volume to $8.6B, Kalshi takes the lead](https://news.bitcoin.com/prediction-market-traders-push-april-2026-volume-to-8-6b-kalshi-takes-the-lead/)
- [CoinDesk — Kalshi, Polymarket seeking $20 billion valuations in fundraising talks](https://www.coindesk.com/business/2026/03/07/kalshi-polymarket-seeking-usd20-billion-valuations-in-fundraising-talks-wsj)
- [insights4vc — Prediction markets at scale: 2026 outlook](https://insights4vc.substack.com/p/prediction-markets-at-scale-2026)
- [Trade Ideas — Prediction markets 2026: Kalshi vs Polymarket guide](https://www.trade-ideas.com/2026/04/29/prediction-markets-kalshi-polymarket/)
- [CoinDesk — Prediction market boom spurs new VC fund backed by Polymarket, Kalshi CEOs](https://www.coindesk.com/markets/2026/03/23/prediction-market-boom-spurs-new-vc-fund-backed-by-polymarket-kalshi-ceos)
- [MEXC — Prediction market volume and growth data 2026](https://www.mexc.com/news/95687)

---

*Prediction markets review — prediction market reviews, rating, Kalshi and Polymarket review 2027, and a review of markets as forecasting, the regulatory moat, and the exchange model for operators.*

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