Conditional Prediction Markets Explained: How Nested Forecasts Work

Conditional prediction markets tackle a specific question: "If X occurs, what is the likelihood of Y?" They represent a sophisticated mechanism for disentangling causal pathways, modelling regulatory shifts, and drawing insights that standard markets 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, conditional on the Fed cutting rates in June?" (dependent on A resolving YES)

Market B only settles if Market A settles YES. Should the Fed refrain from cutting (A resolves NO), Market B is cancelled and all holdings are returned in full. This design permits you to measure the specific impact of rate cuts on GDP expansion — something an unconditional GDP market cannot achieve.

Why Conditional Markets Are Valuable

• Policy evaluation: "What would be the outcome of policy X on result Y?"
• Causal inference: Isolates the true effect of an occurrence from other contributing factors
• Strategic planning: Organisations can evaluate alternative futures using conditional probability estimates
• Election outcomes: "How might markets respond if Candidate A is elected?"

Active Conditional Markets on PolyGram

Typical conditional market formats include:

• "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 likelihood that the conditioning event materialises (Market A)
2. The likelihood of the target outcome assuming that conditioning event occurs (Market B)

Your potential gain hinges on both components. Should you forecast the conditioning event as probable (elevated P(A)) and the outcome given that event as also probable (elevated P(B|A)), backing YES in the conditional market becomes compelling.

FAQ

What happens if the conditioning event doesn't occur?

The conditional market is cancelled. All participants receive a complete refund of their USDC deposit, irrespective of their chosen position.

Are conditional markets more or less liquid than unconditional markets?

Typically less liquid — the additional sophistication deters some participants from trading. That said, conditional markets tied to significant events often see substantial activity.

Can I create a conditional market on PolyGram?

PolyGram's editorial board oversees market creation. Submit conditional market proposals via our support channel — topics with strong community interest receive priority consideration.