Conditional prediction markets tackle the core 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 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 settles only when Market A resolves YES. Should the Fed refrain from cutting (A resolves NO), Market B is cancelled and all holdings are returned in full. This design permits you to measure the precise impact of rate cuts on GDP expansion — something an unconditional 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: Isolates a specific event's influence whilst accounting for other contributing factors
- Strategic planning: Organisations can assess business scenarios using conditional probability estimates
- Election outcomes: "Should Candidate A prevail, how might equity markets respond?"
Active Conditional Markets on PolyGram
Representative 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 involves weighing two distinct probabilities at once:
- The likelihood that the conditioning event materialises (Market A)
- The likelihood of the target outcome provided that conditioning event occurs (Market B)
Profitability hinges on both factors. When you anticipate the conditioning event is probable (elevated P(A)) and the outcome is also probable conditional on that event (elevated P(B|A)), backing YES in the conditional market becomes compelling.
FAQ
- What happens if the conditioning event doesn't occur?
- The conditional market is cancelled. All holdings are reimbursed completely in USDC, irrespective of the position taken.
- Are conditional markets more or less liquid than unconditional markets?
- Typically lower liquidity — the structural complexity deters broader participation. That said, conditionals 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 help desk — topics with strong community interest receive priority consideration.