Conditional Prediction Markets Explained: How Nested Forecasts Work

Conditional prediction markets tackle the question: "Should X occur, what odds would we assign to Y?" They represent a sophisticated mechanism for untangling cause-and-effect dynamics, modelling hypothetical policy shifts, and drawing out insights that standard unconditional markets simply cannot surface.

How Conditional Markets Work

A fundamental 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 framework enables you to measure the specific 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 other influencing factors
• Strategic planning: Organisations can assess business possibilities using conditional probability estimates
• Election outcomes: "Should Candidate A prevail, how would equity markets respond?"

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

Conditional markets demand 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 gain hinges on both factors. Where you reckon the conditioning event is probable (elevated P(A)) and the target outcome is also probable conditional on that event (elevated P(B|A)), backing YES in the conditional market represents compelling value.

FAQ

What happens if the conditioning event doesn't occur?

The conditional market is nullified. All holdings are refunded completely in USDC, irrespective of which direction the position was taken.

Are conditional markets more or less liquid than unconditional markets?

Typically less liquid — the heightened sophistication deters broader participation. 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 conditional market proposals via the support portal — high-demand proposals receive priority consideration for launch.