Conditional Prediction Markets Explained: How Nested Forecasts Work

Conditional prediction markets tackle a specific question: "If X occurs, what is the likelihood of Y?" They serve as a sophisticated mechanism for disentangling causal dynamics, modelling regulatory scenarios, and drawing 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 settles only when Market A settles YES. Should the Fed refrain from cutting (A settles NO), Market B is cancelled and all holdings are returned in full. This arrangement enables you to measure the direct impact of rate reductions on GDP expansion — something a standalone GDP market 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 influence of a specific occurrence from other contributing factors
• Strategic planning: Organisations can assess different business pathways using conditional probability estimates
• Election outcomes: "If Candidate A wins, how will the stock market react?"

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 requires evaluating two distinct probabilities at once:

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 profit or loss hinges on both components. When you expect the conditioning event to be probable (elevated P(A)) and the outcome given that event to be probable as well (elevated P(B|A)), taking a YES stake in the conditional market becomes compelling.

FAQ

What happens if the conditioning event doesn't occur?

The conditional market is voided. All holdings receive a complete refund of their USDC capital, irrespective of the direction of their position.

Are conditional markets more or less liquid than unconditional markets?

Typically less liquid — the heightened sophistication deters some market participants. That said, conditional markets tied to significant events can still generate substantial trading activity.

Can I create a conditional market on PolyGram?

PolyGram's internal team oversees market creation. Submit your conditional market proposals via the support portal — proposals with strong community interest receive priority consideration.