Order Book Trading

After graduation, markets transition from the bonding curve to a Central Limit Order Book (CLOB) for secondary trading.


Order Book vs AMM

BaseCase uses an order book post-graduation rather than an automated market maker:

Characteristic
Order Book
AMM (e.g., Uniswap)

Liquidity source

User limit orders

Protocol-seeded pool

Capital required

None

Significant

Price discovery

Supply/demand matching

Formula-based

Spread control

Competitive makers

Tick configuration

Limit orders

Native

Indirect

Gas efficiency

Moderate

High


Order Book Structure

Dual Books

Each market maintains two order books:

Price Constraint

Binary outcome markets enforce:

An order to buy YES at $0.65 is equivalent to selling NO at $0.35.


Order Types

Limit Orders

Place an order at a specific price. Executes when a matching order arrives.

Market Orders

Execute immediately against best available prices.


Order Matching

Matching Engine

Orders match according to price-time priority:

Execution Example

Book State:

Incoming Order: Market buy 400 YES

Execution:


Fee Structure

Action
Fee
Recipient

Limit order (maker)

0%

N/A

Market order (taker)

0.1%

50% Protocol / 50% Creator

Order cancellation

0%

N/A

Maker orders (adding liquidity) are free to incentivize tight spreads. Taker fees are split equally between the protocol and the market creator.


Comparison: Bonding Curve vs Order Book

Aspect
Bonding Curve
Order Book

Phase

Pre-graduation

Post-graduation

Pricing

CPMM formula

Supply/demand

Fee

2%

0-0.1%

Slippage

Formula-determined

Depth-dependent

Limit orders

Not available

Native

Token type

Shadow shares

Real ERC-20


Implementation Architecture

On-Chain Components

Off-Chain Components

For gas efficiency, matching occurs off-chain:

This hybrid approach reduces gas costs while maintaining settlement security.


Integration with Resolution

Pre-Resolution Trading

Resolution Event

Redemption


Advantages of Order Book Design

1. No Liquidity Requirements

Protocol does not need to seed liquidity. Users provide liquidity through limit orders.

2. Better Price Efficiency

Near resolution, prices can approach 0% or 100% with tight spreads, unlike AMM asymptotic limits.

3. Native Limit Orders

Users can set exact entry/exit prices without workarounds.

4. Competitive Spreads

Market makers compete to offer best prices, reducing trading costs.

5. Transparency

Full order book visibility shows market depth and sentiment.

Last updated