Introduction

Table of Content

What is Mantic

An overview of the Mantic protocol and how it enables decentralized prediction markets powered by collective intelligence.

Mantic is a prediction market protocol designed to aggregate collective expectations about future events. By allowing participants to trade on the outcomes of real world scenarios, Mantic transforms market activity into probabilistic forecasts.

Prediction markets provide a mechanism for capturing information from diverse participants. Market prices dynamically reflect expectations as traders buy and sell outcomes based on their beliefs and available information.

Mantic aims to build an open forecasting infrastructure where markets can form around a wide range of topics.

Key characteristics of the protocol include

Market Based Forecasting
Market prices represent probabilities derived from trading activity rather than surveys or opinions.

Collective Intelligence
Information from many participants is aggregated through market participation and reflected in price movements.

Open Participation
Users can explore, trade, and interact with prediction markets across different categories of events.

Transparent Market Signals
Probability estimates emerge directly from market prices and evolve as new information enters the system.

Decentralized Forecasting Infrastructure
Mantic is designed to support a scalable ecosystem where prediction markets become tools for understanding future outcomes.

Through these mechanisms, Mantic enables a transparent environment where expectations about the future can be expressed, traded, and measured through market dynamics.

Example

To understand how prediction markets work, consider the following example.

A market is created around the question:

“Will Bitcoin trade above $100,000 by the end of 2026?”

Participants can trade two possible outcomes

YES
Bitcoin exceeds $100,000 before the specified date.

NO
Bitcoin does not exceed $100,000 before the specified date.

Each outcome is traded as a market position with a price between 0 and 1. The price reflects the probability that the event will occur according to the market.

For example

• YES price = 0.65
• NO price = 0.35

This means the market estimates a 65 percent probability that Bitcoin will reach $100,000 before the deadline.

As new information enters the market, participants adjust their positions. Buying pressure increases prices while selling pressure lowers them, allowing probabilities to update dynamically over time.

When the event is resolved, the correct outcome settles at 1, while the other outcome settles at 0.

Through this mechanism, prediction markets transform trading activity into real time probability estimates about future events.