Prediction Market Arbitrage

Overview

This pillar identifies mispriced opportunities by comparing the implied probabilities from prediction markets against forecasts from established statistical models. It's a powerful way to find value when public sentiment, reflected in market odds, diverges from data-driven analysis.

What It Does

The pillar systematically ingests real-time odds from major prediction markets and polling data from top political forecasting models. It then converts both into directly comparable probabilities. The analysis highlights significant divergences, suggesting where the market might be overreacting or underestimating an outcome compared to statistical fundamentals.

Why It Matters

Prediction markets can be swayed by media hype and emotional trading, while statistical models are grounded in historical data and rigorous methodology. Identifying a large gap between the two can signal a powerful trading opportunity before the market corrects itself, providing a data-driven reason to bet against the crowd.

How It Works

First, the pillar ingests the current trading price for a specific political outcome from a liquid market. Second, it fetches the latest probability for the same outcome from a benchmark model like FiveThirtyEight or The Economist. Finally, it calculates the percentage point difference, flagging any gap larger than a predefined threshold as a potential value bet.

Methodology

The core calculation is the 'Value Gap', calculated as |Implied Market Probability - Model Probability|. Implied Market Probability is derived from market odds (1 / decimal odds). Model Probability is sourced directly from the aggregated outputs of established political forecasting models. The analysis runs on a 6-hour refresh cycle, focusing on gaps exceeding a 5 percentage point threshold to filter for significant deviations.

Edge & Advantage

This pillar provides a clear, quantitative signal for when market sentiment deviates from rigorous statistical forecasts, allowing you to systematically capitalize on public overreactions.

Key Indicators

• Market-Model Spread

  high

  The percentage point difference between the prediction market's implied probability and a benchmark statistical model's forecast.

• Model Consensus

  medium

  The degree of agreement between multiple forecasting models. High consensus strengthens the signal's reliability.

• Market Liquidity

  medium

  The amount of money available to trade. High liquidity makes large spreads more significant as they represent a more efficient market's view.

Data Sources

• Prediction Markets (Polymarket, Betfair)

  Provides real-time odds which are converted into implied probabilities.

• FiveThirtyEight Forecasts

  Offers probabilistic forecasts for major U.S. political elections and events.

• The Economist Forecasting Models

  Provides statistical models for various international elections and political outcomes.

Example Questions This Pillar Answers

• → Will Donald Trump win the 2024 U.S. Presidential Election?
• → Will the Conservative Party win the most seats in the next UK General Election?
• → Will Marine Le Pen win the 2027 French presidential election?

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