Seer
  • 🧙Introduction to Seer
  • Prediction Market Basics
    • đŸĒ„Creating Tokens
    • 🔄Trading Tokens
    • đŸ”ĨRedeeming Tokens
    • ➕Scalar Markets
  • đŸ˜ĩWhy did previous prediction markets fail?
    • ◾A method other than a prediction market produces the best predictions
    • â‰ī¸An article shows a method over performing prediction market
    • 🔎It's not ethical
    • đŸĻRegulatory Attacks
    • 💧Lack of Liquidity
  • đŸĒĄSeer Solution
    • 🔘Seer DAO
    • 🇧🇮Retroactive Public Good Funding
    • 👨‍👨‍đŸ‘Ļ‍đŸ‘ĻPrediction Market Actors
    • đŸĨšThe Chicken and the egg problem
    • 💰Token Incentives
    • â„šī¸Information Seekers
    • 📈Exchange Integration
    • đŸ’ĻLiquidity Management
    • 🔒Safe Liquidity Provision
    • âžĄī¸Practical Implementation = AMM + Auctions
    • 💡Reasoning
    • âš•ī¸Capital Efficency
  • âš™ī¸Applications
    • đŸ•´ī¸Political Predictions
    • 🍲Food and Drugs Market
    • 🌏Macro Studies
    • âēī¸Micro Recommendation
    • đŸ’ĸFutarchy
    • 🤖AI Markets
  • 🤝Conclusion
  • 📄Reference
  • App
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  1. Applications

Political Predictions

Predicting electoral outcomes has historically been the most successful usecase of prediction markets. Indeed, as those markets are the simplest to implement (results are known on a well defined date), are high impact (knowing who would rule a country is an important information for individuals and businesses) and draw large attention (as those elections draw attention of voters).

Markets on US elections would be the easiest to set up in both technical terms and in terms of gathering public interest.

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Last updated 1 year ago

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