Using Mantic
Market Types
An overview of the different prediction market structures supported by Mantic such as binary, scalar, and categorical markets.
Mantic supports multiple types of prediction markets designed to capture different forms of uncertainty. Each market type allows participants to forecast outcomes in different ways depending on the nature of the event.
These market structures help participants express expectations about binary outcomes, numerical values, or multiple possible scenarios.
Binary Markets
Binary markets represent events with two possible outcomes.
Participants can trade between
• YES — the event will occur
• NO — the event will not occur
Example
“Will Bitcoin exceed $100,000 by the end of 2026?”
Binary markets are the most common form of prediction market because they provide clear and simple outcomes.
Scalar Markets
Scalar markets are used to forecast numerical values within a specific range.
Instead of predicting a simple yes or no outcome, participants estimate where a value will fall within a predefined range.
Example
“What will the price of Ethereum be on December 31?”
Possible range
• $2,000 – $3,000
• $3,000 – $4,000
• $4,000 – $5,000
Scalar markets allow participants to forecast continuous values such as prices, metrics, or statistics.
Categorical Markets
Categorical markets include multiple possible outcomes where only one outcome will occur.
Participants choose which outcome they believe is most likely.
Example
“Which team will win the World Cup?”
Possible outcomes may include
• Brazil
• Argentina
• France
• Germany
• Other teams
Categorical markets allow users to forecast events with several possible results.
Market Diversity
By supporting multiple market structures, Mantic enables participants to forecast a wide variety of real world events.
These markets may cover topics such as
• cryptocurrency markets
• technology developments
• global economic events
• sports outcomes
• cultural and social events
Through different market types, Mantic provides a flexible forecasting environment where participants can express expectations across many domains.
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