Prediction Market Trading

2 articles in Prediction Market Trading · RSS
prediction market tradingpolymarket arbitrage

Polymarket Data Analysis Techniques: Sources, Methods, and Pitfalls

Polymarket data analysis uses on-chain trade records and orderbook data to evaluate strategies, backtest bots, and identify trading edges. Users collect granular data from open-source dumps, on-chain Polygon settlement records, and custom ingestion systems. Data sources include [PMXT] for free historical orderbook and trade-level data, plus on-chain records that capture every matched trade back to inception. One user built a system ingesting over 500 million trades and 1.7 million markets by decoding Polymarket's on-chain activity. The hardest part of analyzing this data is execution realism. Strategies that look profitable under naive assumptions often fail once you account for real fees, queue position, quote staleness, and adverse selection from informed traders.

Aug 12, 2026 · 09:51:39 UTC2 min read
prediction market tradingilliquid markets

How Liquidity Impacts Prediction Markets and Trading Results

Liquidity impacts prediction markets by distorting headline prices, causing slippage on larger orders, and making exits costly, which means displayed prices often do not reflect actual fill prices. Even when a market looks mispriced, thin order books can erase the edge once you account for spread, depth, and the difficulty of exiting a position. Available liquidity often becomes the binding constraint before a trader's predictive model matters. For market makers, illiquid prediction markets may not justify participation, since simply providing liquidity is not an edge when informed traders can trade against you. Historical analysis also suffers, since screenshots of profits hide whether liquidity disappeared before resolution.

Aug 7, 2026 · 04:23:26 UTC2 min read