做市关键
1)动态报价;2)库存管理;3)风险控制;4)快速响应。
项目五:高频做市策略
本节介绍做市算法的设计方法和核心逻辑。
class MarketMakerStrategy:
"""
做市策略
"""
def __init__(self, config):
self.config = config
self.inventory = 0
def calculate_quotes(self, order_book, mid_price):
"""
计算报价
"""
# 基础价差
base_spread = self.config['base_spread']
# 库存调整
inventory_skew = self.calculate_inventory_skew()
# 波动率调整
vol_adjustment = self.calculate_volatility_adjustment(order_book)
# 计算买卖价
bid_price = mid_price - base_spread/2 + inventory_skew + vol_adjustment
ask_price = mid_price + base_spread/2 + inventory_skew - vol_adjustment
return bid_price, ask_price
def calculate_inventory_skew(self):
"""
计算库存偏移
"""
gamma = self.config['inventory_gamma']
return -gamma * self.inventory
def calculate_volatility_adjustment(self, order_book):
"""
计算波动率调整
"""
# 订单簿不平衡
imbalance = self.calculate_order_imbalance(order_book)
# 波动率调整
vol_adjustment = self.config['vol_alpha'] * imbalance
return vol_adjustment
def calculate_order_imbalance(self, order_book):
"""
计算订单不平衡
"""
bid_volume = order_book['bid_volume']
ask_volume = order_book['ask_volume']
return (bid_volume - ask_volume) / (bid_volume + ask_volume)
1)动态报价;2)库存管理;3)风险控制;4)快速响应。