Conditional Prediction Markets Explained: How Nested Forecasts Work

Conditional prediction markets tackle a specific question: "What is the likelihood of Y if X occurs?" They represent a sophisticated mechanism for uncovering cause-and-effect dynamics, modelling hypothetical policy shifts, 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 only settles if Market A settles YES. Should the Fed refrain from cutting (A settles NO), Market B is cancelled and all stakes are returned in full. This design permits you to measure the direct impact of rate cuts on GDP growth — something a straightforward GDP market cannot accomplish.

Why Conditional Markets Are Valuable

• Policy evaluation: "What would be the consequence for outcome Y if policy X were implemented?"
• Causal inference: Isolates an event's direct effect from other contributing factors
• Strategic planning: Organisations can assess business scenarios using conditional probability estimates
• Election outcomes: "How might financial markets respond if Candidate A takes office?"

Active Conditional Markets on PolyGram

Typical conditional market formats in current use 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 outcome assuming that conditioning event occurs (Market B)

Your potential profit hinges on both factors. If you anticipate the conditioning event is probable (elevated P(A)) and the outcome given that event is equally probable (elevated P(B|A)), purchasing a YES stake 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 stake, irrespective of their chosen position.

Are conditional markets more or less liquid than unconditional markets?

Typically less liquid — the additional sophistication deters broader participation. That said, conditional markets tied to significant events still generate substantial trading activity.

Can I create a conditional market on PolyGram?

PolyGram's internal curation group oversees market creation. Submit conditional market proposals via the support portal — topics with strong demand receive priority consideration for launch.