Conditional Prediction Markets Explained: How Nested Forecasts Work

Conditional prediction markets tackle a distinct question: "Should X materialise, what odds would we assign to Y?" These instruments serve as essential mechanisms for disentangling causal pathways, modelling regulatory shifts, and surfacing insights that standard markets leave untapped.

How Conditional Markets Work

The foundational setup of a conditional market 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 if Market A resolves YES. Should the Fed refrain from cutting (A resolves NO), Market B is cancelled and all stakes returned to participants. This design permits you to measure the direct impact of rate cuts on GDP expansion — something a standalone GDP market simply 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 assessment 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 prospective gain hinges on evaluating both dimensions. When you anticipate the conditioning event as probable (elevated P(A)) alongside the outcome materialising conditional on that event (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 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.