量化合约开发说明丨量化合约(策略)系统开发流程及详情源码

交易中心与算法工人内部架构，交易中心主要负责接收客户端发送过来的指令，通过风控层后将指令路由至算法工人，由算法工人处理订单逻辑，如：条件单、追单、止损止盈单等，并最终将订单报入交易所场内，同时将回报返回给交易中心，再由交易中心将回报返回给订阅用户。 交易中心还负责路由用户发送的策略指令，并根据指令分发给策略回测工人或者策略仿真工人，对应的去执行回测指令或者启动策略等。 #测试所有代码 def all_test(codes,names,days,begin_count,end_count,earnings_count=30,writefile='codes.csv'): count_earnings=0 count_suc=0 count_fail=0策略开发I35模板7O98开发O7I8  earnings_count=(end_count-begin_count)*0.1 name_array=np.array([]) code_array=np.array([]) suc_array=np.array([]) fail_array=np.array([]) earnings_array=np.array([]) count_hold_days=0 #for code in codes: for i in range(len(codes)):开发方案：MrsFu123 earnings,suc,fail,index_array,pct_array,hold_days=test(codes<i>,days=days,begin_count=begin_count,end_count=end_count,name=names<i>) if suc==-1: continue count_earnings=count_earnings+earnings count_suc=count_suc+suc count_fail=count_fail+fail count_hold_days=count_hold_days+hold_days if earnings>earnings_count: #print('test==',code,suc,fail,price) name_array=np.append(name_array,names<i>) code_array=np.append(code_array,codes<i>) suc_array=np.append(suc_array,suc) fail_array=np.append(fail_array,fail) earnings_array=np.append(earnings_array,earnings) print('count_suc',count_suc) print('count_fail',count_fail) print('count_earnings','%.1f'%count_earnings) print("suc",'%.1f'%(count_suc/(count_suc+count_fail+1)*100)) print("earnings pre",i,'%.1f'%(count_earnings/(count_suc+count_fail+1)),count_hold_days) data=[code_array,name_array,suc_array,fail_array,earnings_array] data=np.transpose(data) ser2=pd.DataFrame(data,columns=['ts_code','name','suc','fail','earnings']) #ser2=pd.Series(suc_array) #ser2=pd.Series(fail_array) #ser2=pd.Series(price_array) ser2.to_csv(writefile,encoding="utf_8_sig") #测试指定文件对应的所有代码 def test_sel_codes(days,begin_count,end_count,names,file='codes.csv'): df=pd.read_c