Conditional Prediction Markets Explained: How Nested Forecasts Work

Conditional prediction markets tackle a distinct question: "Should X occur, what is the likelihood of Y?" They represent a sophisticated mechanism for disentangling causal pathways, modelling regulatory scenarios, and drawing insights that standard unconditional 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, given that the Fed cuts rates in June?" (conditional on A being YES)

Market B settles only when Market A resolves YES. Should the Fed refrain from cutting (A resolves NO), Market B is cancelled and all holdings are reimbursed. This arrangement enables you to measure the specific impact of rate cuts on GDP expansion — something an ordinary 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 effect of an occurrence from background factors
• Strategic planning: Organisations can assess business contingencies using conditional probability estimates
• Election outcomes: "Should Candidate A prevail, how might the equity markets respond?"

Active Conditional Markets on PolyGram

Typical conditional market configurations 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

Conditional markets demand 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 prospective profit hinges on both factors. If you anticipate the conditioning event is probable (elevated P(A)) and the outcome contingent on that event is also probable (elevated P(B|A)), then acquiring 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 holdings receive a complete refund of their USDC capital, irrespective of the side participants selected.

Are conditional markets more or less liquid than unconditional markets?

Typically less liquid — the supplementary complexity deters participation from some traders. That said, conditional markets tied to significant occasions can still generate substantial trading activity.

Can I create a conditional market on PolyGram?

PolyGram's internal team manages market establishment. Submit conditional market proposals via the help desk — concepts with strong demand receive priority consideration for launch.