Prediction Market Divergence

Overview

This pillar analyzes the gap between polling data and prediction market odds for political events. By identifying significant divergences, it helps traders spot potential mispricings and capitalize on the 'wisdom of the crowds' over traditional survey methods.

What It Does

Prediction Market Divergence continuously tracks implied probabilities from leading prediction markets and compares them against aggregated polling data from sources like FiveThirtyEight. It calculates the percentage difference, or delta, between these two data points. The analysis also factors in trading volume to weigh the strength of the market's conviction.

Why It Matters

Historically, prediction markets have often proven more accurate than polls, especially closer to an event. This pillar provides a clear signal when the market's 'skin in the game' assessment deviates from survey-based sentiment, often revealing a more accurate picture of the likely outcome.

How It Works

First, we ingest real time odds from political prediction markets for a specific outcome. Second, we pull the latest aggregated polling average for the same outcome. Third, we normalize both figures to a 0-100 probability scale and calculate the divergence. Finally, this divergence is presented as a clear indicator, highlighting which side the 'smart money' favors relative to the polls.

Methodology

The core calculation is: Divergence = (Market Probability - Polling Probability). Market Probability is the volume-weighted average price from platforms like Polymarket. Polling Probability is the aggregated polling average from sources like FiveThirtyEight. The analysis uses a 7-day rolling window to smooth out daily noise while remaining responsive to new trends.

Edge & Advantage

This provides an edge by quantifying the 'smart money' signal, allowing you to systematically identify and exploit discrepancies between public opinion and market conviction.

Key Indicators

• Market-Poll Delta

  high

  The percentage point difference between prediction market implied probability and aggregated polling averages.

• Volume-Weighted Conviction

  medium

  Measures the trading volume behind the market's price, indicating the strength of belief.

• Divergence Trend

  medium

  Tracks whether the gap between markets and polls is widening or narrowing over time.

Data Sources

• Polymarket

  Provides real-time implied probabilities from decentralized prediction markets.

• FiveThirtyEight

  Offers aggregated and weighted polling data for U.S. political elections.

• RealClearPolitics

  Provides polling averages for a wide range of political races and issues.

Example Questions This Pillar Answers

• → Will Donald Trump win the 2024 U.S. Presidential Election?
• → Will the Republican party win control of the Senate in the next election?
• → Will the UK general election result in a Labour majority?

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