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Knowledge Base

Knowledge Base

The definitive knowledge base for the prediction market ecosystem. A curated collection of guides and insights for everyone from beginners to market veterans.

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Knowledge Base

Liquidity and Participation Challenges

Why low depth and few traders make signals noisy and trading costly.

Prediction markets only work well when enough participants trade with enough size. Without liquidity, prices become noisy and unreliable, and trading becomes expensive through slippage and wide spreads.


Why Liquidity Matters

Low liquidity causes:

  • High slippage on even small trades
  • Wide bid-ask spreads
  • Unstable prices that jump on single orders
  • Reduced confidence in “implied probability” signals

Why Participation Is Often Hard

Many markets struggle to attract the right mix of traders:

  • Beginners trade for fun but may not improve accuracy
  • Experts have time constraints and may not want public exposure
  • Some domains require specialized knowledge, limiting the pool
  • Regulations and geo-blocking reduce user numbers

Market Design Trade-offs

Platforms try to solve liquidity with:

  • Automated Market Makers (always tradable, but can be expensive to move)
  • Incentive programs (rewards for liquidity providers and traders)
  • Curated market menus (focus liquidity into fewer markets)

Every approach has trade-offs between depth, complexity, and cost.


How to Diagnose a Thin Market

Quick checks:

  • Look at the spread, not just the last price
  • Check depth: how much size is available near the mid price
  • Check volume and open interest
  • Avoid reading too much into tiny price moves

Key Takeaways

  • Liquidity is the foundation of both tradability and forecast quality.
  • Many markets are thin, especially niche or long-horizon ones.
  • Always evaluate depth and spread before trusting a probability.