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A prediction market is a marketplace where people buy and sell shares in the outcome of a real-world event. Each share trades at a price between 0and0 and 1, and that price directly represents the crowd’s estimate of how likely the event is to happen. If the event resolves the way you predicted, your shares pay 1each.Ifitdoesnt,theypay1 each. If it doesn't, they pay 0. The mechanism is elegant: prices carry real information because people with money on the line think carefully before trading.

How prices work

Every market has at least two sides — YES (the event will happen) and NO (it won’t). The prices of all outcomes always add up to $1. If a YES share is trading at **0.65,themarketiscollectivelysayingtheresroughlya650.65**, the market is collectively saying there's roughly a 65% chance the event will happen. The corresponding NO share is 0.35. Here’s a concrete example:
A market asks: “Will BTC close above 100,000onDecember31?"YESsharesaretradingat100,000 on December 31?" YES shares are trading at 0.72.
The crowd thinks there’s a 72% probability of that happening.
If you think the crowd is underestimating the odds — say you believe it’s closer to 85% — you buy YES shares at 0.72.IfyourerightandBTCclosesabove0.72. If you're right and BTC closes above 100k, each share pays 1.Your1. Your 72 becomes 100.Ifyourewrong,youloseyour100. If you're wrong, you lose your 72. If you think the crowd is overestimating — you believe it’s really only 50% — you buy NO shares at 0.28.IfBTCclosesbelow0.28. If BTC closes below 100k, your 28becomes28 becomes 100. Prices move continuously as new information arrives. As more people trade, the price converges toward the best collective estimate of the probability.

Why prediction markets exist

Prediction markets pull together information from every participant: analysts, insiders, obsessives, people with specialized knowledge. The aggregate price is often more accurate than polls, pundit forecasts, or expert panels — because people reveal their true beliefs when money is at stake. This “wisdom of the crowd” effect is the core intellectual argument for prediction markets.
If you have superior knowledge or analysis in a domain — you follow a sports team obsessively, you work in the relevant industry, you’re a skilled forecaster — you can profit by trading where the market price is wrong. The market rewards accurate prediction.
Some participants use prediction markets to hedge real-world exposure. A business owner whose revenue depends on an election outcome, or a content creator with merchandise tied to a sports result, can hedge against an adverse outcome by buying shares on the other side.

How resolution works

When a market’s resolution criteria are met — the event happens or the deadline passes — the market settles and winners are paid. Different platforms handle resolution differently:
PlatformResolution mechanism
PolymarketUMA optimistic oracle — humans propose an outcome, anyone can dispute within a window, consensus settles
KalshiInternal team reads sources and settles, audited under CFTC oversight
BlockForecastMulti-agent AI consensus — independent AI agents read authoritative sources, vote with confidence scores, and settle automatically
On BlockForecast, the AI oracle resolves markets within minutes of resolution criteria being met. There’s no manual adjudication step, no dispute window to wait through. You can watch live agent voting and accuracy statistics on the Oracle Dashboard.

Prediction markets vs. sports betting

Prediction markets and sportsbooks look similar on the surface — both let you put money on an outcome. But the mechanics are meaningfully different.
A sportsbook employs a team of oddsmakers who set the lines. They build in a margin (the “vig”) designed to ensure the house profits over time regardless of the outcome. The odds are set against you.A prediction market has no in-house oddsmaker. Prices are set entirely through trading between participants. The platform charges a small fee, but it isn’t your direct counterparty in the same way a sportsbook is.

What you can trade on BlockForecast

BlockForecast supports markets across any topic with a clear, public, time-bounded answer:

Crypto

Price levels, ETF approvals, protocol events, on-chain milestones — including real-time 5-minute BTC, ETH, and SOL up-or-down markets.

Sports

Match results, season outcomes, tournament winners across major leagues and competitions worldwide.

Politics

Elections, appointments, policy decisions, geopolitical events.

Tech & culture

Product launches, earnings reports, IPOs, awards, charts — anything with a verifiable outcome.

How BlockForecast is different

Most prediction market platforms — Polymarket and Kalshi included — only allow their internal teams to list markets. BlockForecast has an open creator program: any approved user can create a market and earn 0.5% of every trade that market generates, paid out in real time. To create a market, you apply for creator access (reviewed within 24 hours), then use the market creation interface to define the question, resolution criteria, and settlement date. See the Creator Program for details.

Placing your first trade

1

Fund your account

You need USDC on Base to trade. Use the in-app bridge to convert any crypto, or withdraw USDC from a CEX that supports Base. See How to Deposit.
2

Browse markets

Go to Markets and find a market you have an opinion on.
3

Choose YES or NO

Review the current price (= the market’s probability estimate). If you think the true probability is higher than the YES price, buy YES. If you think it’s lower, buy NO.
4

Enter your trade size

The minimum trade is $1 USDC. The LMSR market maker provides instant liquidity at any size — no need to wait for a counterparty.
5

Confirm and wait for resolution

Submit your trade. When the event resolves, winning shares automatically pay $1 each to your wallet.
Most casual traders lose net over time on prediction markets, the same as any financial market. Skilled forecasters with domain expertise and disciplined probability estimates do well. Start with small amounts while you learn how prices move.