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Prediction Market Orderbook Analysis: Reading Depth, Spread, and Liquidity

How to read prediction market orderbooks. Binary settlement, spread-as-percentage, depth asymmetry, executable edge calculation, and cross-venue arbitrage analysis.

Liquidity Availability Is the Real Edge in Prediction Markets

Implied yield, cliff risk, and overround all describe what to trade. Liquidity Availability Score describes whether the orderbook can absorb the trade. Why LAS is the indicator that decides who actually books P&L.

How to Scan Prediction Market Orderbooks: Spread, Depth, and Liquidity Analysis

Practical guide to analyzing orderbook data from Kalshi and Polymarket. Learn spread, depth, liquidity scoring, and executable edge calculation.

Maker / Taker Regime in Prediction Markets: How to Read the Orderbook State

Three regime states (maker-dominated, taker-dominated, neutral) and how to read which one a Kalshi or Polymarket contract is in. Strategy follows regime, not thesis.

Computing Liquidity Availability Score from the Orderbook

Step-by-step guide to computing the Liquidity Availability Score in TypeScript and Python, with edge cases for thin orderbooks, missing data, and the warm-cron coverage limitation.

Prediction market liquidity: why depth matters more than volume for serious traders

Why orderbook depth matters more than volume for prediction market traders. Real Kalshi examples, liquidity scoring framework, and how to avoid slippage.