Andrej Gjorgievski Overview
Introduction
A prediction market is a platform where participants trade contracts tied to a defined future event. A simple market asks a yes-or-no question. Each side has a price, the winning contract usually settles at a fixed value and the losing side settles at zero. The market price changes as traders react to information and place orders.
Every market question sits inside a contract with a defined lifecycle. A usable market also needs clearly defined outcomes, a trading deadline, a resolution source, rules for edge cases as well as a settlement process. Prices can summarize the market's current view, but they are quotes instead of guarantees. Liquidity, fees, contract wording and the final resolution can all affect execution, settlement and net return.
Key takeaways
What Is a Prediction Market?
A prediction market combines a forecasting question with a trading system. The question might concern an election, an economic release, a sports result, a crypto price or the weather. The contract states what must happen for one outcome to win.
Binary markets commonly use two complementary contracts with fixed settlement values. A Yes contract can settle at $1 if the stated event happens and $0 if it does not. A No contract does the reverse. Other markets divide the possibilities into several mutually exclusive outcomes or ranges. Each outcome still needs a precise rule and a specified settlement value.
A displayed price can be indicative instead of executable. In an order-book market, the available asks and their depth determine a buyer's actual entry cost. If at least 100 Yes contracts are offered at $0.42, buying 100 costs $42 before fees. If Yes wins and every contract settles at $1, the gross payout is $100. The gross profit is $58. If No wins, the position settles at zero and the $42 stake is lost. In an automated market maker, the execution quote and pricing curve determine the cost.
A prediction market records paid positions, while a poll records answers from a selected sample. A market makes participants pay for a position and may allow them to revise it through another trade. That economic incentive can encourage research, but money alone does not ensure a correct forecast. Thin markets and crowded narratives can still produce poor prices.
Readers comparing platform features can use CryptoSlate's current prediction-market comparisons.
Company-specific execution, fees and access belong in reviews such as Kalshi's contract structure and Polymarket's onchain model.
How Prediction Markets Work From Question to Payout
Every market follows a lifecycle. The details vary by platform, but the same checkpoints determine whether the contract is understandable.
| Stage | What Must Be Clear |
|---|---|
| Market creation | Exact question, outcomes, opening time and eligible traders |
| Trading | Order type, quoted price, spread, depth, position limit and fees |
| Close | Final trading time and treatment of open orders |
| Resolution | Named source, cutoff, edge cases, dispute process and final authority |
| Settlement | Winning value, losing value, void or tie treatment and timing |
| Cash access | When proceeds become available and how withdrawal works |
Market Creation and Contract Wording
The complete contract contains more than the market heading shown in listings. The detailed rules should identify the official source and the time at which its information counts. A price-threshold question must identify the asset, the exchange, platform or index supplying the price, the observation time and timezone, plus the comparison rule. A sports market needs the governing result and a policy for postponement or cancellation.
Read those conditions before looking at the price. Two platforms can display nearly identical questions while using different deadlines or sources. Those contracts do not necessarily represent the same outcome.
Orders and Matching
Many markets use an order book. Buyers submit bids and sellers submit offers. A trade occurs when compatible orders meet. The best bid is the highest current buying price, while the best ask is the lowest current selling price. The difference is the spread.
A market order seeks an immediate fill against available orders. A limit order sets the worst acceptable price but may remain unfilled. The same distinction appears in how crypto order books match. The contract is different, but price priority, partial fills plus depth still matter.
Other markets use automated market makers. A formula and funded pool adjust prices as participants trade. This can keep a quote available, although larger orders may move the price sharply. The automated liquidity-pool pricing model explains why.
Resolution and Settlement
Trading usually stops at a stated time or when the event becomes known. A centralized exchange may apply its rulebook through an internal process. Other products use an oracle system that submits and verifies event results. Some decentralized designs allow a proposed result to be challenged before settlement.
Resolution determines which outcome won. Settlement applies the specified final values. For example, a $1 binary contract may assign $1 to the winning side and $0 to the losing side. Withdrawal is a separate step. A market can resolve promptly while settlement review or bank transfer takes longer.
How Prices Become Implied Probabilities
A common shortcut reads a $0.63 Yes price as a 63% implied probability. That interpretation is useful because a winning binary contract settles at $1. It is not the same as an audited probability forecast.
The market may show a last trade, midpoint, best bid or best ask. Only an executable order reveals the price available for a new position of a given size. A trader who sees a 62-cent last trade but can only buy at 65 cents faces a different break-even point.
A two-cent fee raises that break-even point by two percentage points. If a contract costs $0.65 and total per-contract costs equal $0.02, the outlay is $0.67. A hold-to-settlement buyer needs an estimated probability above 67% to have a positive expected value under that simplified model. Slippage, the difference between the expected price and the average execution price, can add more cost.
The executable odds and payouts analysis explains how bids, asks, spreads and fees affect payout and break-even calculations.
Liquidity, Volume and Market Makers
Liquidity at quoted prices describes how readily a position can be opened or closed. Volume counts completed trading over a period. A market can report substantial historical volume and still have little depth at the current quote.
Depth matters because an order can consume several price levels. Suppose 100 Yes contracts are offered at $0.50, 200 at $0.53 and 500 at $0.58. An immediately executable buy order for 500 contracts would fill 100 at $0.50, 200 at $0.53 and 200 at $0.58. It would cost $272, averaging $0.544 per contract before fees. That average is $0.044 above the best ask.
Market makers place bids and offers to support continuous trading. They earn or lose money from spreads, inventory changes, incentives and market moves. Their presence does not guarantee a tight spread. A difficult contract or fast-moving event can cause them to quote less size or wider prices.
Before trading, inspect the spread and the quantity available on both sides. Consider how the book might look when an exit is needed, not only at entry.
What Prediction Markets Are Used For
Prediction markets can serve three broad purposes.
Forecasting uses the current price as a compact summary of participating traders' views. A series of prices can show how those views changed after news. The number reflects the platform's participant pool, rules and incentives. It is not an estimate drawn from a representative sample.
Hedging takes a position that may offset a real-world loss. A business exposed to weather or policy risk could seek a contract whose payout rises when the adverse event occurs. A useful hedge needs a close match between the contract and the actual exposure.
Speculation seeks profit from a belief that the market price is wrong. Depending on the product rules and available liquidity, a trader may hold to settlement or attempt an early exit. Both paths depend on execution and costs. Anyone using several platforms should understand why apparent cross-market arbitrage opportunities can disappear after rules and fees are compared.
Are Prediction Markets Accurate?
No market is automatically accurate. A well-designed market can aggregate dispersed information, especially when participants have different evidence and an incentive to correct a poor price. The price may react faster than a scheduled poll or analyst report.
Several conditions weaken that process:
- Few independent traders contribute information.
- One trader's orders dominate trading in a shallow market.
- The question or resolution rule is ambiguous.
- Fees or access limits deter corrective trading.
- Participants share the same source or bias.
- New information arrives after the latest quote.
- Traders value entertainment or influence more than forecast quality.
Calibration asks whether prices match observed frequencies. For example, contracts priced near 60% should resolve Yes roughly 60% of the time across many comparable markets. A single correct call does not prove that a platform's probabilities are accurate. A single surprise does not prove they are useless.
Prediction Market Risks
Loss exposure depends on the product's funding and collateral rules. Other trading, resolution, access, counterparty, protocol and tax risks remain even when a position is fully paid.
| Risk | Practical Check |
|---|---|
| Price risk | Could new information move the contract against the position? |
| Liquidity risk | Is enough depth available for entry and exit? |
| Resolution risk | Are the source, cutoff, edge cases and dispute authority clear? |
| Fee risk | What do trading, settlement, funding, gas and withdrawal cost? |
| Access risk | Can the user legally open, manage and close the position from the current location? |
| Counterparty or protocol risk | Who holds collateral and what happens if a service or contract fails? |
| Tax risk | Are records sufficient for the applicable instrument and jurisdiction? |
US users should check the current US legal status. The legal label does not remove trading risk. Decentralized markets add dependencies on smart contracts, collateral arrangements, oracles and dispute systems, as explained in the onchain prediction-market dependencies.
A Safer Pre-Trade Checklist
Start with the exact contract instead of a prediction about the headline.
- Copy the complete market question and rule version.
- Identify every defined outcome and check whether they are mutually exclusive and exhaustive.
- Record the named resolution source, cutoff time, timezone, dispute process and final authority.
- Inspect the executable bid, ask, spread and depth for the intended size.
- Calculate the maximum outlay, gross settlement value, all visible costs and break-even probability.
- Confirm that identity and location satisfy the platform's eligibility rules and that the funding method is permitted.
- Decide whether the position will be held to settlement or requires an early exit.
- Save trade confirmations and contract records for later reporting.
Those confirmations also support tax-ready event-contract records. The comparison between sportsbook and market structures is useful when the same event appears in both products. A contract on a familiar sports event can still have a different counterparty, pricing model, exit process and rulebook.
Frequently Asked Questions
Can you lose more than you pay in a prediction market?
A fully paid binary contract normally limits the position loss to its purchase cost as well as fees. Margin, borrowing or linked crypto transactions can change the exposure. Read the product rules before relying on a limited-loss assumption.
Can you sell a prediction market contract before it resolves?
Some platforms let traders sell a held contract before settlement. Others permit an opposite trade that reduces the position’s net exposure. The achievable result depends on available orders, the spread, fees plus product rules. A displayed price does not ensure the full position can be sold or offset at that level.
Why do two prediction markets show different prices?
They may have different traders, liquidity, fees, deadlines, wording or resolution sources. Even similar-looking contracts may not represent identical outcomes.
Are prediction market prices the same as probabilities?
A binary contract price is often read as an implied probability. It remains a market quote. The executable price, costs, market quality and contract design affect how much weight that probability deserves.
What happens if a prediction market is ambiguous?
The platform’s published rules and dispute process determine how the ambiguity is handled. The platform may clarify, void, split or resolve the market according to its terms. Traders should avoid a contract whose edge cases are unclear before entry.