交易中心與算法工人內(nèi)部架構(gòu)，交易中心主要負(fù)責(zé)接收客戶端發(fā)送過來的指令，通過風(fēng)控層后將指令路由至算法工人，由算法工人處理訂單邏輯，如：條件單、追單、止損止盈單等，并最終將訂單報入交易所場內(nèi)，同時將回報返回給交易中心，再由交易中心將回報返回給訂閱用戶。 交易中心還負(fù)責(zé)路由用戶發(fā)送的策略指令，并根據(jù)指令分發(fā)給策略回測工人或者策略仿真工人，對應(yīng)的去執(zhí)行回測指令或者啟動策略等。 #測試所有代碼 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策略開發(fā)I35模板7O98開發(fā)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)):開發(fā)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") #測試指定文件對應(yīng)的所有代碼 def test_sel_codes(days,begin_count,end_count,names,file='codes.csv'): df=pd.read_c