How Veyra Works

A comprehensive guide to understanding prediction markets and how Veyra operates.

Prediction Market Fundamentals

What is a Prediction Market?

A prediction market is a marketplace where participants trade contracts whose payouts depend on unknown future events. Essentially, you're buying and selling "shares" of potential outcomes.

The Wisdom of Crowds

Prediction markets leverage collective intelligence:

Key Principle:

When many people with different information and perspectives trade on an outcome, the market price tends to reflect the true probability better than any individual expert.

Why It Works:

  1. Financial Incentive: People put money behind their beliefs

  2. Information Aggregation: Diverse perspectives combine

  3. Self-Correction: Errors are arbitraged away

  4. Continuous Updates: Prices adjust to new information

Market Structure

Binary Markets (YES/NO)

Structure:

Example:

Interpretation:

  • Market implies 68% probability of YES

  • Market implies 32% probability of NO

Multi-Outcome Markets

Structure:

Example:

Trading Mechanics

Order Types

1. Market Order

Execute immediately at current price

Pros: Fast, guaranteed execution Cons: Price may vary slightly

2. Limit Order

Set your own price

Pros: Control price Cons: May not execute

Order Book

Bid/Ask Spread:

Spread: $0.69 - $0.67 = $0.02 (2¢)

Trading:

  • Buy at Ask: $0.69 (immediate)

  • Sell at Bid: $0.67 (immediate)

  • Place limit order: Wait for your price

Liquidity

High Liquidity Market:

Low Liquidity Market:

Pricing Dynamics

How Prices Form

Supply & Demand:

  1. More buyers → Price increases

  2. More sellers → Price decreases

  3. Equilibrium → Current market price

Information Impact:

Price Movements

Example: Election Market

Arbitrage

Keeping Prices Honest:

If YES + NO ≠ $1.00, arbitrage opportunity exists:

Market Resolution

Resolution Process

1. Event Occurs

2. Market Resolved

3. Automatic Payout

Resolution Sources

Trusted Sources:

  • Government agencies (elections, economic data)

  • Sports leagues (game results)

  • Financial exchanges (prices, trading data)

  • News organizations (major events)

Example Sources:

Dispute Resolution

If outcome is unclear:

  1. Community Review: Stakeholders can challenge

  2. Evidence Submission: Provide proof

  3. Governance Vote: Token holders decide

  4. Final Resolution: Binding outcome

Risk & Reward

Risk Factors

1. Event Risk

2. Liquidity Risk

3. Time Risk

4. Platform Risk

Reward Calculation

Simple Formula:

Example 1: Winning Trade

Example 2: Losing Trade

Example 3: Early Exit

Advanced Concepts

Expected Value (EV)

Formula:

Example:

Kelly Criterion

Optimal Bet Sizing:

Example:

Correlation

Correlated Markets:

Uncorrelated Markets:

Platform Economics

Fee Structure

Trading Fees:

Example Calculation:

Market Creation

Anyone can propose markets:

  1. Submit market question

  2. Define outcomes clearly

  3. Set resolution source

  4. Provide initial liquidity

  5. Community votes to approve

Requirements:

  • Clear, unambiguous question

  • Verifiable outcome

  • Set end date

  • Stake required


Continue Learning:

  • Markets & Trading - Trading strategies

  • Solana Integration - Technical details

  • API Reference - Build on Veyra

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