Conditional prediction markets address a specific question: "What is the likelihood of Y occurring if X takes place?" They serve as an essential mechanism for understanding cause-and-effect dynamics, evaluating hypothetical policy outcomes, and obtaining forecasting insights that standard unconditional markets cannot deliver.
How Conditional Markets Work
The basic framework of a conditional market 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 as YES. Should the Fed refrain from cutting (A settles as NO), Market B is cancelled and all holdings are returned to participants. This design enables you to measure the specific impact of rate reductions on GDP expansion — something a standard GDP market cannot isolate.
Why Conditional Markets Are Valuable
- Policy evaluation: "What would be the consequence for outcome Y if policy X were implemented?"
- Causal inference: Distinguishes the direct impact of an occurrence from other influencing elements
- Strategic planning: Organisations can assign monetary values to different scenarios using conditional probability estimates
- Election outcomes: "How might the stock market respond if Candidate A is elected?"
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 simultaneous evaluation of two distinct probabilities:
- The likelihood that the conditioning event materialises (Market A)
- The likelihood of the outcome assuming that conditioning event occurs (Market B)
Your potential profit or loss hinges on both probabilities. If you anticipate the conditioning event is probable (elevated P(A)) and the outcome given that event is also probable (elevated P(B|A)), then purchasing 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 participants receive a complete return of their USDC funds, irrespective of their chosen position.
- Are conditional markets more or less liquid than unconditional markets?
- Typically less liquid — the increased sophistication deters broader participation. That said, conditional markets centred on significant events can still generate substantial trading activity.
- Can I create a conditional market on PolyGram?
- PolyGram's internal team manages market creation. You may propose conditional market concepts via the support portal — proposals with strong community interest receive priority consideration for launch.