Prediction Markets Explained: How to Use Polymarket, Kalshi, and Crypto Betting Platforms in 2026

Prediction markets let you bet on whether something will happen. Will Bitcoin hit $200K by December? Will the Fed cut rates in June? Will a specific bill pass Congress? Instead of reading opinions from pundits, you can look at where people are putting real money.

During the 2024 US presidential election, Polymarket processed over $3.5 billion in trading volume on election outcomes. Its odds consistently outperformed polling aggregates and pundit predictions. That was the moment prediction markets went mainstream. In 2026, they have expanded far beyond politics into crypto prices, economic indicators, sports, entertainment, science, and geopolitical events.

This guide covers how prediction markets work, which platforms to use, how to get started, and the strategies that separate informed traders from people just gambling with extra steps.

What Are Prediction Markets and Why Do They Work

A prediction market is a financial market where the traded assets are contracts tied to real-world outcomes. You buy shares that pay out if an event happens and are worth zero if it does not.

If a market asks "Will ETH hit $10,000 by June 30, 2026?" and shares are trading at $0.35, the market's collective estimate is a 35% probability. If you think the true probability is higher, you buy shares. If you think it is lower, you sell (or buy "No" shares).

Why Prediction Markets Outperform Experts

Traditional forecasting relies on pundits, models, or polls. Each has structural weaknesses. Pundits have incentives to be entertaining rather than accurate. Models rely on assumptions that may not hold. Polls measure stated preferences, not actions.

Prediction markets aggregate information differently. They reward being correct with money and punish being wrong with losses. This creates a powerful incentive for participants to seek out accurate information and calibrate their confidence honestly. You do not get paid for a clever-sounding opinion; you get paid for being right.

Academic research consistently shows that prediction markets outperform expert panels and polls for event forecasting. The mechanism is straightforward: prices incorporate dispersed information from thousands of participants who each have different knowledge and perspectives. The wisdom of crowds, weighted by conviction.

The Efficient Market Argument (and Its Limits)

If prediction markets are so good at pricing probabilities, can you actually make money trading them? The answer is the same as for any market: yes, if you have an edge, and no, if you are trading against better-informed participants without one.

Prediction markets are less efficient than stock markets. They have fewer participants, less institutional capital, wider spreads, and structural limitations (like deposit friction and regulatory barriers) that prevent fast arbitrage. These inefficiencies create opportunities, especially in niche or newly listed markets where information has not yet been fully priced in.

Platform Comparison

Polymarket

How it works: Polymarket runs on Polygon (Ethereum L2) using USDC as the settlement currency. Markets are resolved by a decentralized oracle system called UMA, where token holders vote on outcomes if there is a dispute.

Access: Available globally except in the US (geo-blocked for US IP addresses). No KYC required for deposits under $10,000. Deposits via USDC on Polygon, or fiat on-ramp through MoonPay.

Strengths: Deepest liquidity for political and crypto markets. User-friendly interface. Order book model allows limit orders. Active community creates markets quickly when news breaks.

Weaknesses: Not available to US residents. Oracle resolution can occasionally create disputes. No mobile app (web-only, though mobile browser works).

Fees: No trading fees on most markets. Gas fees on Polygon are negligible (fraction of a cent).

Volume: Polymarket consistently processes $500 million to $1 billion in monthly volume in 2026, with spikes during major events.

Kalshi

How it works: Kalshi is a CFTC-regulated exchange based in the US. It operates in USD, accepts bank transfers and debit cards, and settles through traditional financial infrastructure.

Access: US residents only (the primary advantage over Polymarket for Americans). Full KYC required. Deposits via bank transfer, debit card, or wire.

Strengths: Fully regulated, providing legal clarity for US traders. Clean interface. Expanding market categories including economics, weather, and tech.

Weaknesses: Lower liquidity than Polymarket on most markets. Higher friction to get started (KYC process takes hours to days). Limited market variety compared to Polymarket.

Fees: Variable by market, typically 1-2% of contract value. No deposit fees for bank transfers.

Volume: Growing steadily but still significantly behind Polymarket in total volume.

Azuro

How it works: Azuro is a decentralized prediction market infrastructure protocol. Rather than being a single platform, Azuro provides the backend for multiple prediction market frontends. It runs on Polygon, Gnosis Chain, and Arbitrum.

Access: Global, no KYC. Various frontend apps connect to Azuro's liquidity pools.

Strengths: Decentralized architecture, censorship resistant. Liquidity pooling model means deeper markets than individual DeFi prediction apps.

Weaknesses: Less intuitive for beginners. Fragmented across multiple frontends. Primarily focused on sports and esports rather than politics or economics.

Overtime Markets

How it works: Built on the Thales protocol (Optimism), Overtime focuses on sports prediction markets using an AMM model rather than an order book.

Access: Global, no KYC. Deposits in USDC on Optimism.

Strengths: Good sports market coverage. AMM model means instant execution without needing a counterparty.

Weaknesses: AMM pricing can be less efficient than order book markets. Focused almost exclusively on sports.

Getting Started on Polymarket: Step-by-Step

Polymarket is the most popular platform for crypto-adjacent prediction markets. Here is how to get started from zero.

Step 1: Set Up a Wallet

You need a wallet that works with Polygon. MetaMask, Rabby, or Coinbase Wallet all work. If you are new to wallets, Coinbase Wallet has the simplest onboarding.

Alternatively, Polymarket supports email login with an embedded wallet, which removes the need for a separate wallet app entirely. This is the fastest path for beginners.

Step 2: Get USDC on Polygon

Polymarket uses USDC on Polygon. You have several options:

• Direct deposit via MoonPay: Buy USDC with a credit card directly on Polymarket. Fees are 2-3% but it is the simplest path.
• Bridge from Ethereum: If you already have USDC on Ethereum, use the Polygon Bridge or a bridge aggregator like Jumper.exchange to move it to Polygon.
• Withdraw from a CEX: Some exchanges (Coinbase, Binance) support direct USDC withdrawals to Polygon, saving you bridge fees.

For your first time, MoonPay through Polymarket's interface is the lowest-friction option. Start with a small amount ($50-100) to learn the mechanics.

Step 3: Deposit to Polymarket

Once you have USDC on Polygon, deposit it to Polymarket through their interface. You will approve a transaction allowing the Polymarket contract to access your USDC, then a deposit transaction. Both are gasless or near-gasless on Polygon.

Step 4: Browse and Understand Markets

Polymarket organizes markets into categories: Crypto, Politics, Sports, Pop Culture, Economics, and more. Each market shows:

• Current price: The implied probability (e.g., $0.72 means 72% implied probability of "Yes")
• Volume: Total money traded on this market
• Liquidity: Depth of the order book (higher = easier to enter/exit large positions)
• Resolution date: When the market settles
• Resolution source: What determines the outcome (e.g., CoinGecko price, official government data)

Step 5: Place a Trade

Click on a market you want to trade. You will see an order book with current bids and asks.

• Market order: Buy immediately at the best available price. Simple but you pay the spread.
• Limit order: Set the price you want. Your order sits in the book until someone fills it. Better prices but no guarantee of execution.

When you buy "Yes" shares at $0.35, you risk $0.35 per share and stand to gain $0.65 per share if the event happens (total payout is $1.00). Your maximum loss is your purchase price.

Step 6: Monitor and Exit

You can sell your position at any time before market resolution. If the implied probability moves in your favor, your shares are worth more and you can take profit without waiting for resolution.

After the resolution date, the outcome is determined, and your shares are worth either $1.00 (correct) or $0.00 (incorrect). Payouts happen automatically.

Trading Strategy: Beyond Coin Flips

Making money on prediction markets requires an edge. Here are the strategies that experienced traders use.

Reading Odds as Implied Probability

The most basic skill is interpreting prices as probabilities. A share trading at $0.60 implies a 60% probability. But there is a nuance: the market maker spread means prices are not perfectly calibrated. If "Yes" trades at $0.60 and "No" trades at $0.42, the combined implied probability is 102%. That 2% is the market's vigorish, the cost of trading.

When evaluating a position, calculate the "true" implied probability by normalizing: $0.60 / ($0.60 + $0.42) = 58.8%. Compare this to your own estimate.

Finding Mispriced Markets

The best opportunities exist in:

• Newly listed markets: Before information is fully priced in
• Niche topics: Markets where you have domain expertise that most traders lack
• Cross-market arbitrage: When related markets on different platforms show inconsistent probabilities
• Post-news adjustment lag: When a major development happens and the market has not yet fully adjusted

For example, if you are a crypto developer and see a prediction market about whether a specific protocol upgrade will ship on time, you may have better information than the average trader based on GitHub activity, developer discussions, and testnet performance.

Hedging and Portfolio Construction

Prediction markets are excellent hedging instruments. If you hold a large ETH position and are worried about a specific regulatory event, you can buy "No" shares on a market about favorable regulation. If the regulation fails and ETH drops, your prediction market position partially offsets the loss.

More sophisticated traders build portfolios of prediction market positions, diversifying across uncorrelated events to reduce variance while maintaining positive expected value.

The Kelly Criterion

For sizing positions, the Kelly Criterion provides a mathematical framework. The formula determines the optimal fraction of your bankroll to bet based on your edge and the odds:

Kelly % = (bp - q) / b

Where b is the odds received, p is your estimated probability of winning, and q is the probability of losing (1 - p). In practice, most traders use fractional Kelly (25-50% of the full Kelly bet) to reduce variance.

If shares trade at $0.40 (implying 40% probability) and you estimate the true probability at 55%, your Kelly bet would be approximately 25% of bankroll. At half-Kelly, that becomes 12.5%.

Risks and Limitations

Regulatory Uncertainty

Prediction markets exist in a regulatory gray area in most jurisdictions. Polymarket was fined $1.4 million by the CFTC in 2022 and subsequently blocked US users. Kalshi fought a legal battle to offer election markets and won. The regulatory landscape continues to evolve.

In 2026, most prediction market activity happens either on regulated US platforms (Kalshi) or on offshore crypto platforms (Polymarket). The risk of further regulatory action, particularly around markets that resemble gambling, remains real.

Liquidity Risk

Not all markets have deep liquidity. On thin markets, you may face:

• Wide spreads (paying 5-10% above fair value to enter)
• Difficulty exiting large positions without moving the price
• Slippage on market orders

Stick to markets with at least $100,000 in total volume and visible order book depth before committing significant capital.

Resolution Disputes

When a market resolves, someone must determine the outcome. On Polymarket, this happens through UMA's oracle system. In rare cases, the resolution is disputed, which can delay payouts or lead to controversial decisions.

Read the resolution criteria carefully before trading. Ambiguous wording in market descriptions is the most common source of disputes.

Tax Treatment

In most jurisdictions, prediction market gains are taxable. The specific treatment varies:

• US: Kalshi issues 1099 forms. Polymarket gains are likely taxable as ordinary income or capital gains but reporting is your responsibility.
• EU: Varies by country. Generally treated as gambling winnings or capital gains.
• Other jurisdictions: Often unclear. Consult a local tax professional.

Keep records of all trades, including timestamps, amounts, and outcomes.

Conclusion

Prediction markets are one of the most useful tools to emerge from crypto's intersection with finance. They provide real-time, money-weighted probability estimates for virtually any future event, and they give traders the ability to profit from accurate forecasting.

Polymarket is the most liquid and accessible platform for non-US users. Kalshi serves the US market with full regulatory compliance. Both are straightforward to use once you understand the basic mechanics of buying and selling outcome shares.

The key to success is the same as any market: trade where you have an edge, size positions appropriately, understand the risks (especially liquidity and resolution mechanics), and treat it as investing rather than gambling. Prediction markets reward research, calibration, and discipline. They punish overconfidence and impulse betting. Start small, track your results, and scale up as you develop a genuine edge.