Prediction Quant evaluates markets through four complementary lenses — Prime, Hedge, Arbitrage, and Middles — each designed to answer a different question before capital is committed.
It does not:
Instead, Prediction Quant exists to help you decide whether a market deserves participation at all.
The current platform focuses on market evaluation and decision support — assessing structure, incentives, and risk before capital is committed.
Good outcomes are a byproduct. Good decisions are the goal.
Step 1
Evaluate the Market
Each market is reviewed based on how it is constructed.
Is the resolution wording explicit and enforceable?
Are incentives aligned with the stated outcome?
Does timing introduce hidden structural risk?
Step 2
Classify the Structure
Markets may be classified as :
Prime: Well-constructed markets with explicit rules
Sub-Prime: Markets with structural weaknesses
Contextual-Only: Language/mentions markets requiring qualitative evaluation
Step 3
Identify Structural Archetypes
We identify structural patterns within or across markets:
Hedge: Potential risk offsets relative to existing exposure
Arbitrage: Rare pricing discrepancies across platforms
+EV signals focus on directional mispricing
Step 4
Reinforce Discipline
Prediction Quant supports post-decision review through:
Trade journaling and decision tracking
Behavioral and decision analytics
Performance review frameworks
Prediction Quant supports post-decision review through:
A concise explanation of scope, methodology, and decision ownership.
Prediction Quant is decision intelligence for prediction markets. Evaluate market structure, risk geometry, and incentive alignment before risking capital.
$49/month • Cancel anytime






