Conditional Prediction Markets Explained: How Nested Forecasts Work

Conditional prediction markets pose the fundamental question: "Given that X occurs, what is the likelihood of Y?" They serve as an essential mechanism for uncovering cause-and-effect dynamics, modelling hypothetical policy outcomes, and revealing insights that standard unconditional markets simply cannot surface.

How Conditional Markets Work

A basic 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 resolves YES. Should the Fed refrain from cutting (A resolves NO), Market B is cancelled and all stakes returned in full. This design permits you to measure the specific impact of rate cuts on GDP expansion — something a standard GDP market cannot isolate.

Why Conditional Markets Are Valuable

• Policy evaluation: "Should policy X be implemented, what would be the consequence for outcome Y?"
• Causal inference: Distinguishes the true effect of an occurrence from background factors that might skew results
• Strategic planning: Organisations can evaluate different business paths using conditional probability estimates
• Election outcomes: "In the event Candidate A is elected, how might equity markets respond?"

Active Conditional Markets on PolyGram

Typical conditional market designs currently available 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 assessment of two distinct probabilities:

1. The likelihood that the triggering condition materialises (Market A)
2. The likelihood of the outcome assuming that condition is met (Market B)

Your prospective gains hinge on evaluating both dimensions. When you anticipate the triggering condition is probable (elevated P(A)) and the outcome conditional on that event is also probable (elevated P(B|A)), backing YES in the conditional market becomes strategically sound.

FAQ

What happens if the conditioning event doesn't occur?

The conditional market is nullified. All participants receive a complete reimbursement of their USDC stake, irrespective of their chosen position.

Are conditional markets more or less liquid than unconditional markets?

Typically less liquid — the heightened sophistication deters broader participation. Nevertheless, conditional markets tied to major events frequently achieve substantial trading activity.

Can I create a conditional market on PolyGram?

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