Knowledge Base: Prediction Markets

Complete guide to prediction markets: pricing mechanics, applications, and why it works better than polls.

Event trading explained simply: how it works, how it differs from regular trading.

Comparing prediction markets and traditional betting: mechanics, regulation, business models, and prospects.

Comparison of event trading and classical trading: risks, returns, mechanics. What to choose?

Step-by-step guide to launching a prediction market: from idea to production. Stages, challenges, and approach comparison.

Detailed breakdown: building from scratch vs white-label, hidden costs, ROI calculation.

How prediction market economics work: revenue sources, unit economics, key metrics, and growth strategies.

Business models for operators: commissions, liquidity, premium services. Platform monetization guide.

How brokers use prediction markets to expand their product line and increase revenue.

How crypto exchanges and DeFi platforms launch prediction markets: integration, tokenomics, examples.

How fintech companies use prediction markets to expand their product line and engage users.

Where prediction markets are used: politics, business, sports, crypto, science. Real-world cases.

Complete overview of events: politics, economics, sports, crypto, technology. How to choose a niche.

Guide to scaling: growing liquidity, attracting users, expanding geography.

10 common mistakes when launching prediction markets and how to avoid them.