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Conditional Prediction Markets Explained: How Nested Forecasts Work

Conditional prediction markets let you ask 'if X happens, what probability of Y?' Learn how they work and how to use them for advanced forecasting on PolyGram.

Priya Anand
Sports Editor — Odds & Form · · 3 min read
✓ Fact-checked · 📅 Updated 1 May 2026 · 3 min read
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Conditional prediction markets tackle the scenario: "Should X occur, what odds apply to Y?" They serve as an invaluable mechanism for disentangling cause-and-effect dynamics, modelling hypothetical situations, and drawing insights that standard unconditional markets simply cannot surface.

How Conditional Markets Work

A typical conditional market setup looks like this:

  • Market A: "Will the Fed cut rates in June?" (unconditional)
  • Market B: "Will GDP growth exceed 2% in Q3 2026, given that the Fed cuts rates in June?" (conditional on A being YES)

Market B settles only when Market A settles YES. Should the Fed refrain from cutting (A settles NO), Market B becomes null and all holdings are returned in full. This design enables you to measure the precise impact of rate cuts on GDP expansion — something a standalone GDP market cannot achieve.

Why Conditional Markets Are Valuable

  • Policy evaluation: "If policy X is enacted, what happens to outcome Y?"
  • Causal inference: Separates the effect of an event from confounding variables
  • Strategic planning: Businesses can price business scenarios based on conditional probabilities
  • Election outcomes: "If Candidate A wins, what happens to the stock market?"

Active Conditional Markets on PolyGram

Typical conditional market configurations feature:

  • "Will Bitcoin exceed $100K IF the Fed cuts rates 3+ times in 2026?"
  • "Will Trump's approval exceed 45% IF unemployment stays below 4%?"
  • "Will the EU pass AI regulation IF the UK does not?"
  • Tournament bracket conditionals: "Will [Team A] win the championship IF they beat [Team B] in the semis?"

Trading Conditional Markets

Engaging with conditional markets demands simultaneous evaluation of two distinct probabilities:

  1. The probability that the conditioning event occurs (Market A)
  2. The probability of the outcome given that conditioning event (Market B)

Your profit potential hinges on both components. When you're confident the conditioning event materialises (elevated P(A)) and simultaneously believe the outcome will follow that event (elevated P(B|A)), purchasing YES in the conditional market becomes compelling.

FAQ

What happens if the conditioning event doesn't occur?
The conditional market is voided. All positions receive a full refund of their USDC investment, regardless of which side they bet on.
Are conditional markets more or less liquid than unconditional markets?
Generally less liquid — the added complexity reduces the number of traders engaging. However, conditional markets on major events still attract meaningful volume.
Can I create a conditional market on PolyGram?
Market creation is handled by PolyGram's curation team. Suggest conditional market ideas through the support channel — high-interest topics are prioritized for listing.
Priya Anand
Sports Editor — Odds & Form

Priya benchmarks sports prediction-market lines against traditional sportsbooks. Specialism: Premier League, NBA, and the major European cup competitions.