Conditional Prediction Markets Explained: How Nested Forecasts Work

Conditional prediction markets tackle a distinct question: "If X materialises, what is the likelihood of Y occurring?" They serve as an essential mechanism for disentangling cause-and-effect dynamics, modelling hypothetical policy outcomes, and obtaining insights that standard unconditional markets cannot surface.

How Conditional Markets Work

A straightforward 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 only settles when Market A resolves YES. Should the Fed refrain from cutting (A resolves NO), Market B is cancelled and all holdings are refunded in full. This design permits you to measure the specific impact of rate cuts on GDP growth — something a standard GDP market alone cannot accomplish.

Why Conditional Markets Are Valuable

• Policy evaluation: "If policy X is implemented, what is the consequence for outcome Y?"
• Causal inference: Isolates the true effect of an occurrence from other contributing factors
• Strategic planning: Organisations can assess business scenarios using conditional probability estimates
• Election outcomes:
• "If Candidate A wins, what occurs in the stock market?"

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 takes place (Market A)
2. The likelihood of the outcome assuming that conditioning event materialises (Market B)

Your anticipated profit hinges on both elements. When you anticipate the conditioning event has strong odds (high P(A)) and the outcome conditional on that event also has strong odds (high 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 holdings receive complete reimbursement of their USDC capital, irrespective of which position was taken.

Are conditional markets more or less liquid than unconditional markets?

Typically less liquid — the increased sophistication deters many participants from engaging. Nonetheless, conditional markets tied to significant events frequently see substantial trading activity.

Can I create a conditional market on PolyGram?

PolyGram's internal team oversees all market creation. Submit conditional market proposals via the help desk — topics with substantial demand receive priority consideration for launch.