Conditional Prediction Markets Explained: How Nested Forecasts Work

Conditional prediction markets tackle a distinct question: "Given that X occurs, what is the likelihood of Y?" They represent a sophisticated mechanism for disentangling causal pathways, modelling hypothetical policy shifts, and obtaining signals that standard unconditional markets simply 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 if Market A settles YES. Should the Fed refrain from cutting (A settles NO), Market B is nullified and all holdings are returned to traders. This framework enables you to measure the isolated impact of rate reductions on GDP expansion — something a standalone GDP market cannot accomplish.

Why Conditional Markets Are Valuable

• Policy evaluation: "Should policy X be implemented, what would be the consequence for outcome Y?"
• Causal inference: Distinguishes the direct impact of an occurrence from background noise and unrelated factors
• Strategic planning: Organisations can assess business scenarios using conditional likelihood estimates
• Election outcomes: "In the event Candidate A prevails, how would equity markets respond?"

Active Conditional Markets on PolyGram

Representative conditional market formats in current use:

• "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 prospective gains hinge on both components. When you anticipate the conditioning event is probable (elevated P(A)) alongside the outcome being probable conditional on that event (elevated P(B|A)), backing YES in the conditional market becomes an appealing position.

FAQ

What happens if the conditioning event doesn't occur?

The conditional market is nullified. All holdings are restored in full USDC to participants, irrespective of their chosen position.

Are conditional markets more or less liquid than unconditional markets?

Typically less liquid — the additional conceptual burden discourages broader participation. That said, conditional markets tied to significant events do accumulate substantial trading activity.

Can I create a conditional market on PolyGram?

PolyGram's internal curation group oversees market launches. Submit conditional market proposals via the help desk — topics with strong community interest receive priority consideration for deployment.