For quantitative trading, the most important thing is the establishment of models. Generally speaking, using modern statistical and mathematical methods, computer technology is used to find laws that can bring excess returns from massive historical data to formulate strategies, and mathematical models are used to verify and solidify these laws and strategies, and then strictly implement them through programmed trading
在Join函数中可以写策略逻辑：开仓、平仓等。
def Join(self):
lastPrice=0#上根k线的收盘价
while True:
if self.status==0:开发需求I35逻辑7O98案例O7I8
if not self.md_queue.empty():
makeData=self.md_queue.get(True)
#撤单
if self.local_position_dict:关于区块链项目技术开发唯:MrsFu123，代币发行、dapp智能合约开发、链游开发、多链钱包开发
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if self.local_position_dict[self.tickData['InstrumentID']]['Volume']!=0:
self.req_remove(self.tickData)
print(f"====={makeData}")
#亏损超8个点止损，回撤6个点止损
for instrument_id,position in self.local_position_dict.items():
if self.symbol_close[instrument_id]==1:
if instrument_id not in self.md_dict.keys():
break
if position['Volume']!=0 and position['Direction']==b'0':
self.sell_close(b'',instrument_id,makeData['LastPrice']-6,1)
print(f"卖平仓：{lastPrice}，{makeData['LastPrice']}")
else:开发需求I59详细2OO7开发3O69
self.buy_close(b'',instrument_id,makeData['LastPrice']+6,1)
print(f"买平仓：{lastPrice}，{makeData['LastPrice']}")
if lastPrice!=0:
sleep(1)#时间是59s的时候休眠1s，0s时开仓
if makeData['LastPrice']>=lastPrice:
self.buy_open(b'',b'p2209',makeData['LastPrice']+6,1)
print(f"买开仓：{lastPrice}，{makeData['LastPrice']}")
else:
self.sell_open(b'',b'p2209',makeData['LastPrice']-6,1)
print(f"卖开仓：{lastPrice}，{makeData['LastPrice']}")
lastPrice=makeData['LastPrice']
#初始化为最新价
self.HighPrice=makeData['LastPrice']
self.LowPrice=makeData['LastPrice']
else:
sleep(1)
#止盈止损
self.check_position()
