Prediction Context
A market for trading tokens that reflect the probability of a future event occurring. Prices update in realtime based on supply and demand.

Prediction Core Concepts
Example
Section titled “Example”Event: "Bitcoin above $100,000 before 2027-01-01?"Current market pricing:YES = $0.68 → the market estimates a 68% probability the event will happenNO = $0.32 → 32% probability it won't happenTotal YES + NO ≈ $1.00Payout matrix when the market resolves:
| Actual outcome | YES holder | NO holder |
|---|---|---|
| Event happens | 1 YES = $1.00 ✅ |
1 NO = $0 ❌ |
| Event doesn’t happen | 1 YES = $0 ❌ |
1 NO = $1.00 ✅ |
Why Price Is a Good Information Signal
Section titled “Why Price Is a Good Information Signal”- People who believe the event will happen → buy YES → push the price up.
- Aggregates opinions from many participants into a single transparent number.
- Skin in the game: real money → traders only profit if they’re correct. Stronger than ordinary polls (where respondents have nothing at stake).
- Research consistently shows that prediction markets are often more accurate than expert forecasts for events with statistical data (elections, sports, macroeconomics).
Compared to Traditional Bookmakers
Section titled “Compared to Traditional Bookmakers”| Category | Bookmaker (Bet365, 1xBet…) | Prediction market |
|---|---|---|
| Counterparty | House (the platform) | Other users (peer-to-peer) |
| Pricing | House sets it, wide spread | Market-driven, AMM + CLOB |
| Custody | House holds funds (custodial) | Non-custodial, on-chain |
| Sell before resolution | Difficult / impossible | Yes - resell tokens anytime |
| Auditable | No | Yes - on-chain explorer |
| Fees | Baked into odds (hidden) | Transparent, shown before confirmation |
| Censorship | House can ban users | Permissionless |
Limitations of Prediction Markets
Section titled “Limitations of Prediction Markets”Oracle Dependence
- Requires a source to report the outcome on-chain. Oracles can be wrong, disputed, or delayed. PrediX uses pluggable oracles to mitigate single point of failure risk.
- Read more: Resolution.
Liquidity Providers
- Markets with no trading activity → wide spread → high slippage. Liquidity providers are incentivized via gauge voting.
Token Value
- Tokens only have value within their market context
- Example: 1 YES from market A cannot be used in market B. After resolution, losing tokens = $0.
Black Swan Events
- Extremely rare events may not be priced correctly. Markets self-correct over time as information becomes public.
Quick Start
Section titled “Quick Start”Read in order if you’re new, or jump to the section you need.
| Cover image | ||
|---|---|---|
| PrediX Market | CLOB with Uniswap v4. | 46.png |
| Outcome Tokens | YES/NO, split/merge, $1 invariant. | 48.png |
| CLOB + AMM hybrid | combines 2 liquidity mechanisms. | 49.png |
| Resolution & Oracle | Who decides the outcome. | 47.png |