代码简化
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from re import L
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from core import util
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from core.strategy_db import TradeTarget
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from core.util import queryPendingOrder
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from xtquant import xttrader, xtconstant
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from xtquant.xttype import StockAccount, XtOrderResponse, XtTrade
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import sfgrid_constants
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import threading
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class SFGridStrategy:
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def __init__(self, tradeTarget: TradeTarget, xt_trader: xttrader.XtQuantTrader, account: StockAccount, enabled: bool = False):
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self.tradeTarget:TradeTarget = tradeTarget
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self.xt_trader: xttrader.XtQuantTrader = xt_trader
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self.account:StockAccount = account
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self.enabledTrading(enabled)
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self.dataUpdateLock = threading.Lock()
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def getName(self):
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return "SFGRID"
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def enabledTrading(self, enabled: bool):
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self.tradeTarget.enabled = enabled # type: ignore
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self.tradeTarget.save()
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pendingOrders = queryPendingOrder(str(self.tradeTarget.stock_code),self.getName(), self.xt_trader,self.account)
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if len(pendingOrders) > 0:
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print(f' |- 已存在{len(pendingOrders)}订单，全部取消，按需要重下。')
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for order in pendingOrders:
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self.xt_trader.cancel_order_stock(self.account, order.order_id)
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if enabled:
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print(f" |- 标的{self.tradeTarget.targetName()}交易启动, position {self.tradeTarget.current_position}")
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# 建仓状态检查
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if int(self.tradeTarget.current_position) == 0 and int(self.tradeTarget.status) == 0: # type: ignore
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self.tradeTarget.grid_index = 1 # type: ignore
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self.tradeTarget.save()
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self.initBuyOrderId = self.xt_trader.order_stock_async(
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self.account,
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str(self.tradeTarget.stock_code),
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xtconstant.STOCK_BUY,
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sfgrid_constants.grid_volume,
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xtconstant.FIX_PRICE,
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sfgrid_constants.grid_price[int(self.tradeTarget.grid_index)], # type: ignore
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'sf_grid', f'{self.tradeTarget.stock_code}_init_buy')
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print(f"|- 标的{self.tradeTarget.stock_code}-{self.tradeTarget.stock_name} 建初始仓 买单已发出 InitBuyOrderSeq: {self.initBuyOrderId} Price: {sfgrid_constants.grid_price[int(self.tradeTarget.grid_index)]} Volume: {sfgrid_constants.grid_volume}\n") # type: ignore
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else:
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# 交易阶段，检查仓位，检查现有订单
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print(f" |- 标的{self.tradeTarget.targetName()}已有仓位或非初始状态 无需建初始仓 当前仓位: {self.tradeTarget.current_position} 状态: {self.tradeTarget.status}")
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minRequirePosition:int = sfgrid_constants.grid_volume * int(self.tradeTarget.grid_index) # type: ignore
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if minRequirePosition <= int(self.tradeTarget.current_position): # type: ignore
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print(f' |- 仓位检查: 持仓需求充足, (gridVolume*gridIndex)={minRequirePosition}, 当前持仓：{self.tradeTarget.current_position}')
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else:
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print(f' |- 仓位检查: 持仓需求不足, (gridVolume*gridIndex)={minRequirePosition}, 当前持仓：{self.tradeTarget.current_position}')
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def isEnabled(self) -> bool:
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return bool(self.tradeTarget.enabled)
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def onDataUpdate(self, data):
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if not self.isEnabled():
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return
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self.dataUpdateLock.acquire()
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index = self.tradeTarget.grid_index
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price = sfgrid_constants.grid_price[int(index)] # pyright: ignore[reportArgumentType]
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lowPrice = sfgrid_constants.grid_price[int(index) + 1] # pyright: ignore[reportArgumentType]
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highPrice = sfgrid_constants.grid_price[int(index) - 1] # pyright: ignore[reportArgumentType]
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lastPrice = float("{:.3f}".format(data[self.tradeTarget.stock_code]['lastPrice']))
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print(f"标的{self.tradeTarget.stock_code}-{self.tradeTarget.stock_name} 市价: {lastPrice}, 网格序号: {index}, 网格价格: {price}, 计划多单价: {lowPrice}, 计划空单价: {highPrice}")
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if lastPrice <= lowPrice: # 下下方多单
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orders = queryPendingOrder(str(self.tradeTarget.stock_code), self.getName(), self.xt_trader, self.account)
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if len([order for order in orders if order.order_type == xtconstant.STOCK_BUY and order.price == lowPrice]) > 0:
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# 已存在未交易的多单
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print(f' |- 已存在未交易的多单，不重复下单')
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else:
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print(f' |- 下网格多单')
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self.tradeTarget.current_buy_order_no = self.xt_trader.order_stock_async(
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self.account,
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str(self.tradeTarget.stock_code),
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xtconstant.STOCK_BUY,
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sfgrid_constants.grid_volume,
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xtconstant.FIX_PRICE,
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lowPrice,
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self.getName(), # strategy_name
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self.tradeTarget.stock_code # remark # type: ignore
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)
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self.tradeTarget.grid_index = int(index) + 1 # type: ignore
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self.tradeTarget.current_buy_price = float(lowPrice) # type: ignore
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print(f' |- 下网格多单号 {self.tradeTarget.current_buy_order_no}, 网格基准价 {price}, 下单价 {lowPrice}, 下单量 {sfgrid_constants.grid_volume}')
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elif lastPrice == highPrice: # 下上方空单
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orders = queryPendingOrder(str(self.tradeTarget.stock_code), self.getName(), self.xt_trader, self.account)
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if len([order for order in orders if order.order_type == xtconstant.STOCK_SELL and order.price == highPrice]) > 0:
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# 已存在未交易的空单
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print(f' |- 已存在未交易的空单，不重复下单')
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else:
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print(f' |- 下网格空单')
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self.tradeTarget.current_sell_order_no = self.xt_trader.order_stock_async(
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self.account,
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str(self.tradeTarget.stock_code),
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xtconstant.STOCK_SELL,
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sfgrid_constants.grid_volume,
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xtconstant.FIX_PRICE,
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highPrice,
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self.getName(),
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self.tradeTarget.stock_code) # type: ignore
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self.tradeTarget.grid_index = int(index) - 1 # type: ignore
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self.tradeTarget.current_sell_price = float(highPrice) # type: ignore
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print(f' |- 下网格空单号 {self.tradeTarget.current_sell_order_no}, 网格基准价 {price}, 下单价 {highPrice}, 下单量 {sfgrid_constants.grid_volume}')
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self.tradeTarget.save()
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self.dataUpdateLock.release()
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def onAsyncOrderResponse(self, order:XtOrderResponse):
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self.dataUpdateLock.acquire()
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stockCode = order.order_remark
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orderSeq = order.seq
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if (self.tradeTarget.status == 1): # 正常交易阶段订单下单成功
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if self.tradeTarget.current_buy_order_no == order.seq:
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self.tradeTarget.current_buy_order_no = order.order_id
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elif self.tradeTarget.current_sell_order_no == order.seq:
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self.tradeTarget.current_sell_order_no = order.order_id
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else:
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print(f' |- 委托回调: 委托单 {order.order_id} {stockCode} {orderSeq} 不在策略监控范围内')
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return
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rc = self.tradeTarget.save()
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print(f' |- 委托下单成功[{rc}]: 委托单 {order.order_id} {stockCode} {orderSeq} ')
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self.dataUpdateLock.release()
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def onOrderTrade(self, trade:XtTrade):
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self.dataUpdateLock.acquire()
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if int(self.tradeTarget.status) == 0 and trade.order_id == self.initBuyOrderId : # type: ignore
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# 此时为建仓成交
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self.tradeTarget.current_position = int(self.tradeTarget.current_position) + trade.traded_volume # 当前持仓数，账户原有持仓不在策略范围内 # type: ignore
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self.tradeTarget.last_trade_price = float(trade.traded_price) # type: ignore
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self.tradeTarget.grid_index = 1 # type: ignore
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self.tradeTarget.status = 1 # type: ignore
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self.tradeTarget.save()
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print(f"|- 标的{self.tradeTarget.stock_code}-{self.tradeTarget.stock_name} 建初始仓订单ID: {self.initBuyOrderId}已成交 ")
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print(f' 成交价: {trade.traded_price} 成交量: {trade.traded_volume}')
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print(f' 当前持仓: {self.tradeTarget.current_position}')
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print(f' 网格坐标: {self.tradeTarget.grid_index}')
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elif trade.order_id == self.tradeTarget.current_sell_order_no and int(self.tradeTarget.status) == 1: # type: ignore
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# 上涨一格：此时空单成交
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self.tradeTarget.current_position = int(self.tradeTarget.current_position) - trade.traded_volume # type: ignore
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self.tradeTarget.last_trade_price = float(trade.traded_price) # type: ignore
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self.tradeTarget.grid_index = int(self.tradeTarget.grid_index) - 1 # type: ignore
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self.tradeTarget.save()
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print(f"|- 标的{self.tradeTarget.stock_code}-{self.tradeTarget.stock_name} 上涨 卖单已成交 订单ID: {self.tradeTarget.current_sell_order_no} Price: {sfgrid_constants.grid_price[int(self.tradeTarget.grid_index)]} Volume: {sfgrid_constants.grid_volume} 手续费: {trade.commission}\n") # type: ignore
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print(f' 成交价: {trade.traded_price} 成交量: {trade.traded_volume}')
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print(f' 当前持仓: {self.tradeTarget.current_position}')
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print(f' 网格坐标: {self.tradeTarget.grid_index}')
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elif trade.order_id == self.tradeTarget.current_buy_order_no and int(self.tradeTarget.status) == 1: # type: ignore
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# 下跌一格：此时多单成交
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self.tradeTarget.current_position = int(self.tradeTarget.current_position) + trade.traded_volume # type: ignore
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self.tradeTarget.last_trade_price = float(trade.traded_price) # type: ignore
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self.tradeTarget.grid_index = int(self.tradeTarget.grid_index) + 1 # type: ignore
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self.tradeTarget.save()
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print(f"|- 标的{self.tradeTarget.stock_code}-{self.tradeTarget.stock_name} 下跌 买单已成交 订单ID: {self.tradeTarget.current_buy_order_no} Price: {trade.traded_price} Volume: {sfgrid_constants.grid_volume} 手续费: {trade.commission}")
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print(f' 成交价: {trade.traded_price} 成交量: {trade.traded_volume}')
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print(f' 当前持仓: {self.tradeTarget.current_position}')
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print(f' 网格坐标: {self.tradeTarget.grid_index}')
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else:
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# 打印订单信息和订单状态
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print(f'|- 非策略内部订单，或订单状态不满足监控条件 {trade.order_id} {trade.stock_code}-{trade.instrument_name} {trade.commission}')
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self.dataUpdateLock.release()
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