전략 유형

Market Making Strategies

Spread-Based Liquidity Provision

Market making strategies provide liquidity by continuously placing bid and ask orders around the current price. Profits are earned from the bid-ask spread while managing inventory risk and adverse selection.

2개 알고리즘1개 라이브러리

마켓 메이킹 알고리즘이 라이브러리 간에 어떻게 연결되는지

🏦Market Making
🤖
Hummingbot2 algos
pure_market_makingintermediate
avellaneda_market_makingadvanced

마켓 메이킹 알고리즘이 거래 시스템에서 어떻게 함께 작동하는지

1
📊

Spread Calculation

Bid-ask width determination

Base spread from volatility
Inventory skew adjustment
2
📋

Quote Placement

Order book posting

Bid below mid-price
Ask above mid-price
3

Order Execution

Trade capture

Maker order fills
Spread capture
4
🔄

Inventory Management

Position balancing

Target inventory level
Max position limits
5
🛡️

Risk Controls

Adverse selection protection

Toxic flow detection
Circuit breaker triggers

핵심 지표로 마켓 메이킹 알고리즘 비교

알고리즘 비교 매트릭스열을 클릭하여 세부 정보 펼치기
항목
pure_market_makingHummingbot
avellaneda_market_makingHummingbot
🎯복잡도⭐⭐⭐intermediate⭐⭐⭐⭐advanced
📈예측 유형혼합혼합
훈련 속도⚡⚡⚡⚡
🎯정확도📊📊📊📊
💡최적 용도범용범용
복잡도:

Hummingbot

pure_market_making
Hummingbot
마켓 메이킹intermediate

Single-exchange market making with configurable spread, order levels, and inventory management.

속도⚡⚡
정확도📊📊📊
주요 파라미터
bid_spread0.01Bid spread from mid price (1%)
ask_spread0.01Ask spread from mid price (1%)
order_amount1Order size per level
+1개 더
avellaneda_market_making
Hummingbot
마켓 메이킹advanced

Avellaneda-Stoikov optimal market making model with dynamic spread based on inventory risk.

속도⚡⚡
정확도📊📊📊
주요 파라미터
risk_factor0.5Inventory risk aversion parameter (gamma)
order_amount1Base order amount

Market Making Strategies, 알고리즘 참조

pure_market_making (Hummingbot)
Single-exchange market making with configurable spread, order levels, and inventory management. 주요 파라미터: bid_spread (Bid spread from mid price (1%)), ask_spread (Ask spread from mid price (1%)), order_amount (Order size per level), order_refresh_time (Seconds before order refresh).소스: https://github.com/hummingbot/hummingbot/tree/master/hummingbot/strategy/pure_market_making.
avellaneda_market_making (Hummingbot)
Avellaneda-Stoikov optimal market making model with dynamic spread based on inventory risk. 주요 파라미터: risk_factor (Inventory risk aversion parameter (gamma)), order_amount (Base order amount).소스: https://github.com/hummingbot/hummingbot/tree/master/hummingbot/strategy/avellaneda_market_making.