增加miniqmt接口预留

This commit is contained in:
oficcejo
2025-10-04 11:52:11 +08:00
parent e0e3bfc7f7
commit 1a73483f8e
9 changed files with 1402 additions and 22 deletions
+615
View File
@@ -0,0 +1,615 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
MiniQMT量化交易接口
为监测板块提供量化交易功能预留接口
支持自动下单、仓位管理、策略执行等功能
"""
import json
from typing import Dict, List, Optional, Tuple
from datetime import datetime
from enum import Enum
class TradeAction(Enum):
"""交易动作枚举"""
BUY = "buy" # 买入
SELL = "sell" # 卖出
HOLD = "hold" # 持有
class OrderType(Enum):
"""订单类型枚举"""
MARKET = "market" # 市价单
LIMIT = "limit" # 限价单
STOP = "stop" # 止损单
STOP_LIMIT = "stop_limit" # 止损限价单
class PositionSide(Enum):
"""持仓方向枚举"""
LONG = "long" # 多头
SHORT = "short" # 空头
NONE = "none" # 无持仓
class MiniQMTInterface:
"""
MiniQMT量化交易接口类
提供与MiniQMT的对接功能
"""
def __init__(self, config: Dict = None):
"""
初始化接口
Args:
config: 配置字典,包含账户信息、连接参数等
"""
self.config = config or {}
self.connected = False
self.account_id = None
self.positions = {} # 持仓信息
self.orders = {} # 订单信息
self.enabled = self.config.get('enabled', False)
def connect(self, account_id: str = None) -> Tuple[bool, str]:
"""
连接到MiniQMT
Args:
account_id: 交易账户ID
Returns:
(成功标志, 消息)
"""
try:
# TODO: 实现与MiniQMT的实际连接逻辑
self.account_id = account_id or self.config.get('account_id')
if not self.account_id:
return False, "账户ID未配置"
# 预留接口:连接MiniQMT
# from xtquant import xtdata
# xtdata.connect()
self.connected = True
return True, f"已连接到账户 {self.account_id}"
except Exception as e:
self.connected = False
return False, f"连接失败: {str(e)}"
def disconnect(self) -> bool:
"""断开连接"""
try:
# TODO: 实现断开连接逻辑
self.connected = False
return True
except Exception as e:
print(f"断开连接失败: {e}")
return False
def is_connected(self) -> bool:
"""检查连接状态"""
return self.connected and self.enabled
def get_account_info(self) -> Dict:
"""
获取账户信息
Returns:
账户信息字典
"""
if not self.is_connected():
return {
'error': '未连接到MiniQMT',
'connected': False
}
# TODO: 实现获取账户信息的逻辑
# 预留接口:从MiniQMT获取账户信息
return {
'account_id': self.account_id,
'total_assets': 0.0, # 总资产
'available_cash': 0.0, # 可用资金
'market_value': 0.0, # 持仓市值
'frozen_cash': 0.0, # 冻结资金
'profit_loss': 0.0, # 盈亏
'connected': True
}
def get_positions(self) -> List[Dict]:
"""
获取当前持仓
Returns:
持仓列表
"""
if not self.is_connected():
return []
# TODO: 实现获取持仓的逻辑
# 预留接口:从MiniQMT获取持仓信息
# from xtquant import xttrader
# positions = xttrader.query_stock_positions(self.account_id)
return list(self.positions.values())
def get_position(self, symbol: str) -> Optional[Dict]:
"""
获取指定股票的持仓
Args:
symbol: 股票代码
Returns:
持仓信息字典,无持仓返回None
"""
if not self.is_connected():
return None
return self.positions.get(symbol)
def place_order(self,
symbol: str,
action: TradeAction,
quantity: int,
price: float = None,
order_type: OrderType = OrderType.MARKET) -> Tuple[bool, str, str]:
"""
下单
Args:
symbol: 股票代码
action: 交易动作
quantity: 数量
price: 价格(限价单时需要)
order_type: 订单类型
Returns:
(成功标志, 消息, 订单ID)
"""
if not self.is_connected():
return False, "未连接到MiniQMT", ""
# 参数验证
if quantity <= 0:
return False, "数量必须大于0", ""
if order_type == OrderType.LIMIT and price is None:
return False, "限价单必须指定价格", ""
try:
# TODO: 实现实际下单逻辑
# 预留接口:通过MiniQMT下单
# from xtquant import xttrader
# if action == TradeAction.BUY:
# order_id = xttrader.order_stock(
# self.account_id, symbol,
# xtconstant.STOCK_BUY, quantity,
# xtconstant.FIX_PRICE, price
# )
# elif action == TradeAction.SELL:
# order_id = xttrader.order_stock(
# self.account_id, symbol,
# xtconstant.STOCK_SELL, quantity,
# xtconstant.FIX_PRICE, price
# )
# 模拟订单ID
order_id = f"ORD_{symbol}_{datetime.now().strftime('%Y%m%d%H%M%S')}"
# 记录订单
self.orders[order_id] = {
'order_id': order_id,
'symbol': symbol,
'action': action.value,
'quantity': quantity,
'price': price,
'order_type': order_type.value,
'status': 'submitted',
'create_time': datetime.now().isoformat()
}
return True, f"订单已提交: {order_id}", order_id
except Exception as e:
return False, f"下单失败: {str(e)}", ""
def cancel_order(self, order_id: str) -> Tuple[bool, str]:
"""
撤销订单
Args:
order_id: 订单ID
Returns:
(成功标志, 消息)
"""
if not self.is_connected():
return False, "未连接到MiniQMT"
try:
# TODO: 实现撤单逻辑
# 预留接口:通过MiniQMT撤单
# from xtquant import xttrader
# xttrader.cancel_order(self.account_id, order_id)
if order_id in self.orders:
self.orders[order_id]['status'] = 'cancelled'
return True, f"订单 {order_id} 已撤销"
else:
return False, "订单不存在"
except Exception as e:
return False, f"撤单失败: {str(e)}"
def get_order_status(self, order_id: str) -> Optional[Dict]:
"""
查询订单状态
Args:
order_id: 订单ID
Returns:
订单信息字典
"""
if not self.is_connected():
return None
# TODO: 实现查询订单状态逻辑
return self.orders.get(order_id)
def get_all_orders(self) -> List[Dict]:
"""
获取所有订单
Returns:
订单列表
"""
if not self.is_connected():
return []
return list(self.orders.values())
def execute_strategy_signal(self,
stock_id: int,
symbol: str,
signal: Dict,
position_size: float = 0.2) -> Tuple[bool, str]:
"""
执行策略信号
根据监测触发的信号自动执行交易
Args:
stock_id: 监测股票ID
symbol: 股票代码
signal: 信号字典,包含type, price, message等
position_size: 仓位比例(默认20%
Returns:
(成功标志, 执行结果消息)
"""
if not self.is_connected():
return False, "MiniQMT未连接,无法执行交易"
signal_type = signal.get('type')
current_price = signal.get('price')
try:
# 获取账户信息
account_info = self.get_account_info()
available_cash = account_info.get('available_cash', 0)
# 根据信号类型执行不同操作
if signal_type == 'entry':
# 进场信号 - 买入
buy_amount = available_cash * position_size
quantity = int(buy_amount / current_price / 100) * 100 # A股100股为一手
if quantity > 0:
success, msg, order_id = self.place_order(
symbol=symbol,
action=TradeAction.BUY,
quantity=quantity,
price=current_price,
order_type=OrderType.LIMIT
)
if success:
return True, f"进场买入成功: {quantity}股 @ ¥{current_price}, 订单号: {order_id}"
else:
return False, f"进场买入失败: {msg}"
else:
return False, "可用资金不足,无法买入"
elif signal_type == 'take_profit':
# 止盈信号 - 卖出
position = self.get_position(symbol)
if position and position.get('quantity', 0) > 0:
quantity = position['quantity']
success, msg, order_id = self.place_order(
symbol=symbol,
action=TradeAction.SELL,
quantity=quantity,
price=current_price,
order_type=OrderType.LIMIT
)
if success:
return True, f"止盈卖出成功: {quantity}股 @ ¥{current_price}, 订单号: {order_id}"
else:
return False, f"止盈卖出失败: {msg}"
else:
return False, "无持仓,无需卖出"
elif signal_type == 'stop_loss':
# 止损信号 - 紧急卖出
position = self.get_position(symbol)
if position and position.get('quantity', 0) > 0:
quantity = position['quantity']
# 止损使用市价单,快速成交
success, msg, order_id = self.place_order(
symbol=symbol,
action=TradeAction.SELL,
quantity=quantity,
order_type=OrderType.MARKET
)
if success:
return True, f"止损卖出成功: {quantity}股, 订单号: {order_id}"
else:
return False, f"止损卖出失败: {msg}"
else:
return False, "无持仓,无需止损"
else:
return False, f"未知的信号类型: {signal_type}"
except Exception as e:
return False, f"执行策略信号失败: {str(e)}"
def calculate_position_size(self,
symbol: str,
price: float,
max_position_pct: float = 0.2,
max_risk_pct: float = 0.02) -> int:
"""
计算建议仓位大小
Args:
symbol: 股票代码
price: 买入价格
max_position_pct: 最大仓位比例(默认20%
max_risk_pct: 最大风险比例(默认2%
Returns:
建议买入数量(股)
"""
if not self.is_connected():
return 0
try:
account_info = self.get_account_info()
total_assets = account_info.get('total_assets', 0)
available_cash = account_info.get('available_cash', 0)
# 基于最大仓位计算
max_position_value = total_assets * max_position_pct
# 基于可用资金计算
max_buy_value = min(max_position_value, available_cash)
# 计算股数(A股100股为一手)
quantity = int(max_buy_value / price / 100) * 100
return quantity
except Exception as e:
print(f"计算仓位失败: {e}")
return 0
def get_risk_metrics(self, symbol: str) -> Dict:
"""
获取风险指标
Args:
symbol: 股票代码
Returns:
风险指标字典
"""
if not self.is_connected():
return {}
position = self.get_position(symbol)
if not position:
return {
'has_position': False,
'profit_loss': 0,
'profit_loss_pct': 0,
'risk_exposure': 0
}
# 计算盈亏
cost_price = position.get('cost_price', 0)
current_price = position.get('current_price', 0)
quantity = position.get('quantity', 0)
profit_loss = (current_price - cost_price) * quantity
profit_loss_pct = (current_price - cost_price) / cost_price * 100 if cost_price > 0 else 0
# 计算风险敞口
account_info = self.get_account_info()
total_assets = account_info.get('total_assets', 0)
position_value = current_price * quantity
risk_exposure = position_value / total_assets if total_assets > 0 else 0
return {
'has_position': True,
'quantity': quantity,
'cost_price': cost_price,
'current_price': current_price,
'position_value': position_value,
'profit_loss': profit_loss,
'profit_loss_pct': profit_loss_pct,
'risk_exposure': risk_exposure
}
def validate_trade(self,
symbol: str,
action: TradeAction,
quantity: int,
price: float = None) -> Tuple[bool, str]:
"""
验证交易是否可行
Args:
symbol: 股票代码
action: 交易动作
quantity: 数量
price: 价格
Returns:
(可行标志, 原因)
"""
if not self.is_connected():
return False, "未连接到MiniQMT"
# 检查数量
if quantity <= 0:
return False, "数量必须大于0"
if quantity % 100 != 0:
return False, "A股必须以100股(1手)为单位交易"
# 获取账户信息
account_info = self.get_account_info()
if action == TradeAction.BUY:
# 买入验证
if price is None:
return False, "买入需要指定价格"
required_cash = quantity * price * 1.001 # 考虑手续费
available_cash = account_info.get('available_cash', 0)
if required_cash > available_cash:
return False, f"资金不足: 需要¥{required_cash:.2f}, 可用¥{available_cash:.2f}"
return True, "验证通过"
elif action == TradeAction.SELL:
# 卖出验证
position = self.get_position(symbol)
if not position:
return False, "无持仓,无法卖出"
available_quantity = position.get('quantity', 0)
if quantity > available_quantity:
return False, f"持仓不足: 需要{quantity}股, 可用{available_quantity}"
return True, "验证通过"
return False, "未知的交易动作"
class QuantStrategyConfig:
"""量化策略配置"""
def __init__(self):
self.auto_trade_enabled = False # 是否启用自动交易
self.max_position_pct = 0.2 # 最大单个仓位比例
self.max_total_position_pct = 0.8 # 最大总仓位比例
self.max_risk_per_trade = 0.02 # 单笔最大风险比例
self.min_trade_amount = 5000 # 最小交易金额
self.use_stop_loss = True # 是否使用止损
self.use_take_profit = True # 是否使用止盈
self.trailing_stop_pct = 0.05 # 移动止损比例
def to_dict(self) -> Dict:
"""转换为字典"""
return {
'auto_trade_enabled': self.auto_trade_enabled,
'max_position_pct': self.max_position_pct,
'max_total_position_pct': self.max_total_position_pct,
'max_risk_per_trade': self.max_risk_per_trade,
'min_trade_amount': self.min_trade_amount,
'use_stop_loss': self.use_stop_loss,
'use_take_profit': self.use_take_profit,
'trailing_stop_pct': self.trailing_stop_pct
}
@classmethod
def from_dict(cls, data: Dict):
"""从字典创建"""
config = cls()
config.auto_trade_enabled = data.get('auto_trade_enabled', False)
config.max_position_pct = data.get('max_position_pct', 0.2)
config.max_total_position_pct = data.get('max_total_position_pct', 0.8)
config.max_risk_per_trade = data.get('max_risk_per_trade', 0.02)
config.min_trade_amount = data.get('min_trade_amount', 5000)
config.use_stop_loss = data.get('use_stop_loss', True)
config.use_take_profit = data.get('use_take_profit', True)
config.trailing_stop_pct = data.get('trailing_stop_pct', 0.05)
return config
# 全局MiniQMT接口实例
miniqmt = MiniQMTInterface()
def init_miniqmt(config: Dict = None) -> Tuple[bool, str]:
"""
初始化MiniQMT接口
Args:
config: 配置字典
Returns:
(成功标志, 消息)
"""
global miniqmt
try:
# 从配置文件或环境变量读取配置
if config is None:
try:
from config import MINIQMT_CONFIG
config = MINIQMT_CONFIG
except ImportError:
config = {
'enabled': False,
'account_id': None
}
miniqmt = MiniQMTInterface(config)
# 如果启用,尝试连接
if config.get('enabled', False):
success, msg = miniqmt.connect()
return success, msg
else:
return True, "MiniQMT接口已初始化(未启用)"
except Exception as e:
return False, f"初始化MiniQMT接口失败: {str(e)}"
def get_miniqmt_status() -> Dict:
"""
获取MiniQMT接口状态
Returns:
状态字典
"""
global miniqmt
return {
'enabled': miniqmt.enabled,
'connected': miniqmt.connected,
'account_id': miniqmt.account_id,
'ready': miniqmt.is_connected()
}