Deep Dive: Conditional Tokens

Exploring the Gnosis Conditional Token Framework (CTF) that powers complex outcome dependencies.

S
Satoshi N.
Feb 04, 2026
10 min read
Blockchain network visualization representing conditional token framework

The Mechanics of CTF

Most prediction markets are simple binary bets. However, reality is complex and events are often correlated. Conditional Tokens allow for the creation of markets that are dependent on other markets. This is often referred to as "combinatorial prediction markets".

The Gnosis Conditional Token Framework (CTF) is the standard used by Polymarket and other platforms to handle these complex relationships.

How Splitting Works

Imagine a token representing the state of the world (Numeraire).

  1. You can split this token into two conditional tokens based on Event A: A-Yes and A-No.
  2. You can further split A-Yes based on Event B: (A-Yes & B-Yes) and (A-Yes & B-No).

This creates a tree of possibilities.

Combinatorial Betting

For example, you can bet on:

"Will Candidate A win the general election IF they win the primary?"

This allows traders to express nuanced views. If you believe Candidate A is strong generally but weak in the primary, you can buy exposure specifically to their general election performance conditional on the primary win, often at cheaper odds than buying a straight "Win General" contract.

Advantages of CTF

  1. Deep Liquidity: Liquidity providers don't need to fragment capital across 10 different unrelated markets. The collateral is shared at the root level.
  2. Oracle Agnosticism: The framework works with any oracle that can report outcomes.
  3. Capital Efficiency: Traders can merge positions back into the underlying collateral if they hold a complete set of outcomes, freeing up capital before the event resolves.
technicalgnosisctfadvanced

Put theory into practice

Explore the skills and integrations mentioned in this article to run the workflow immediately.

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