hangye.py

# -*- coding: utf-8 -*-
"""
Created on Mon Jan 15 20:18:06 2018

@author: LiuWeipeng
"""        
import pickle
import numpy as np
from time import clock,sleep
import logging  
logger = logging.getLogger('hangye')  
logger.setLevel(logging.DEBUG)  
fh = logging.FileHandler('hangye.log')  
fh.setLevel(logging.DEBUG)  
ch = logging.StreamHandler()  
ch.setLevel(logging.DEBUG)  
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')  
fh.setFormatter(formatter)  
ch.setFormatter(formatter)  
logger.addHandler(fh)  
logger.addHandler(ch)

import tradesim as sim
zh1=sim.simtrade('hangye','000000')
zh2=sim.simtrade('hangyedi','000000')
zh3=sim.simtrade('hangye2','000000')
zh4=sim.simtrade('hangyedi2','000000')

pfile=open('hangye.pkl','rb')
data=pickle.load(pfile)
stock,xiaogainian,xiaogai,cishu,stock,url3,name=data
tiao=np.zeros((len(stock),10))
yidong=[]  
code=[x[:6] for x in stock]
##########################################
from vnrpc import RpcClient
class TestClient(RpcClient):
    def __init__(self, reqAddress, subAddress):
        """Constructor"""
        super(TestClient, self).__init__(reqAddress, subAddress)
    def callback(self, topic, data):
        global hq,times,speed
        """回调函数实现"""
        #print ('回调函数测试', topic, ', data:', data)
        if topic==b'sinahq':        
            hq=data
        if topic==b'time':
            times=data[0]
            speed=data[1]

reqAddress = 'tcp://localhost:2014'
subAddress = 'tcp://localhost:0602'
tc = TestClient(reqAddress, subAddress)
tc.subscribeTopic(b'sinahq')
tc.subscribeTopic(b'time')
tc.start() 
#bp=tc.Getdata('sz000625','bp1')
#########################################
sleep(6)  
rhq=hq.loc[code]
sleep(3/speed)  
#bought=[]
while 1:
    try:
        t1=clock()
        hqs=hq.loc[code]
        
        xj=np.array([float(x) for x in hqs['now']])
        b1=np.array([float(x) for x in hqs['bp1']])
        rb1=np.array([float(x) for x in rhq['bp1']])
        s1=np.array([float(x) for x in hqs['sp1']])
        rs1=np.array([float(x) for x in rhq['sp1']])  
        '''
        amo=np.array([float(x) for x in hqs['amount']])
        ramo=np.array([float(x) for x in rhq['amount']])
        amount=amo-ramo
        '''
        amo=np.array([float(x) for x in hqs['amount']])
        amount=np.array([float(x) for x in rhq['amount']])
        
        '''
        插曲拉升效率：涨幅/成交额

        eff=(s1-rs1)/rs1*100/(amount/10000)
        higheff=(eff>0.04)*(amount>100000)*(s1>=15)*(eff!=np.inf)
        for i in range(len(eff)):
            if higheff[i]==True:
                #print(name[i]+stock[i]+str(eff[i]))
                #logger.info("stock=%s,id=%s,拉升效率=%s,价格=%s" % (name[i],stock[i],eff[i],s1[i]))
                pass
        '''                
        con=(b1>=rb1)*(s1>=rs1)*(amount>100000)*(s1>0)*(xj>=s1)*(amo!=amount)
        tiao=np.hstack([tiao[:,1:],con.reshape((len(stock),1))])
        spe=tiao[:,-3:].sum(axis=1)>=3  #满足条件的股票
        wz=list(np.where(spe==1)[0])
        dlist=[stock[x] for x in wz]
        '''
        dlist=[]
        for i in range(len(spe)):
            if spe[i]==True:
                dlist.append(stock[i])
                '''
        yidong.append(dlist)  #15秒内所有异动股票
        n=10
        if len(yidong)>n:
            yidong=yidong[-n:]
        
        huizong=[]
        for val in yidong:
            huizong.extend(val)
        ids = list(set(huizong))  #去重复
        gainianchi=[]
        for i in range(len(ids)):
            for j in range(len(stock)):
                if ids[i]==stock[j]:
                    gainianchi.extend(xiaogainian[j])
        
        un=[]  #短期概念去重
        counts=[]
        counts2=[]  #短期概念原始数量
        for val in gainianchi:
            if val not in un:
                un.append(val)
                #概念数量标准化
                a=gainianchi.count(val)/(np.array(cishu[xiaogai.index(val)])/np.array(cishu).mean())
                counts.append(a) 
                counts2.append(gainianchi.count(val))
        #热门概念
        hot=[]
        for i in range(len(un)):
            if  counts2[i]>=2:
            #if  counts[i]>=1 and counts2[i]>=4:
                hot.append(un[i])
        #交易信号      
        for i in wz:
            for val in xiaogainian[i]:
                if val in hot:
                    chi1=list(zh1.holdings()[:,3])+list(zh1.waitbuy()[:,1])
                    if float(code[i]) not in chi1:
                        if zh1.cash()[0]<20000:
                            
                            hds=zh1.holdings()
                            if len(hds)*0.3>=1:
                                rnd=np.random.randint(0, len(hds)*0.3)
                                zh1.sellnow(hds[rnd,3],hds[rnd,5])
                        zh1.buynow(code[i],10000/s1[i])
                    #chi2=list(zh2.holdings().code)+list(zh2.waitbuy().code)
                        
                        if zh2.cash()[0]<20000:
                            wb=zh2.waitbuy()
                            if len(wb)>0:
                                zh2.cancelbuy(wb[0,1])
                            #zh2.cancelbuy(list(zh2.waitbuy()[:,1])[0])
                            hds=zh2.holdings()
                            if len(hds)*0.3>=1:
                                rnd=np.random.randint(0, len(hds)*0.3)
                                zh2.sellnow(hds[rnd,3],hds[rnd,5])
                        zh2.buy(code[i],s1[i]*0.99,10000/s1[i])
                    logger.info("stock=%s,id=%s,板块=%s,价格=%s"  % (name[i],stock[i],val,s1[i]))


        hot2=[]
        for i in range(len(un)):
            #if  counts2[i]>=2:
            if  counts[i]>=2 and counts2[i]>=4:
                hot2.append(un[i])
        #交易信号      
        for i in wz:
            for val in xiaogainian[i]:
                if val in hot2:
                    chi3=list(zh3.holdings()[:,3])+list(zh3.waitbuy()[:,1])
                    if float(code[i]) not in chi3:
                    #if code[i] not in bought:
                        if zh3.cash()[0]<20000:
                            hds=zh3.holdings() 
                            if len(hds)*0.3>=1:
                                rnd=np.random.randint(0, len(hds)*0.3)
                                zh3.sellnow(hds[rnd,3],hds[rnd,5])                          
                        zh3.buynow(code[i],10000/s1[i])
                    #chi2=list(zh2.holdings().code)+list(zh2.waitbuy().code)
                        
                        if zh4.cash()[0]<20000:
                            wb=zh4.waitbuy()
                            if len(wb)>0:
                                zh4.cancelbuy(wb[0,1])
                            hds=zh4.holdings()
                            if len(hds)*0.3>=1:
                                rnd=np.random.randint(0, len(hds)*0.3)
                                zh4.sellnow(hds[rnd,3],hds[rnd,5])
                        zh4.buy(code[i],s1[i]*0.99,10000/s1[i])
                    logger.info("stock=%s,id=%s,板块=%s,价格=%s"  % (name[i],stock[i],val,s1[i]))
    
        
        
        
        
        t2=clock()
        rhq=hq.loc[code]
   
        #print(t2-t1)
        if 3/speed-t2+t1>0:
            sleep(3/speed-t2+t1)
        else:            
            
            print('耗时',t2-t1)
    except Exception as e:
        logger.exception('ERROR:%s' % str(e)) 
        sleep(0.0001) 
'''
import pickle
from WindPy import w
from urllib.request import urlopen, Request
from re import split
import numpy as np
w.start()
concept=w.wsd("300033.SZ,000001.SZ,000002.SZ,000004.SZ,000005.SZ,000006.SZ,000007.SZ,000008.SZ,000009.SZ,000010.SZ,000011.SZ,000012.SZ,000014.SZ,000016.SZ,000017.SZ,000018.SZ,000019.SZ,000020.SZ,000021.SZ,000022.SZ,000023.SZ,000025.SZ,000026.SZ,000027.SZ,000028.SZ,000029.SZ,000030.SZ,000031.SZ,000032.SZ,000034.SZ,000035.SZ,000036.SZ,000037.SZ,000038.SZ,000039.SZ,000040.SZ,000042.SZ,000043.SZ,000045.SZ,000046.SZ,000048.SZ,000049.SZ,000050.SZ,000055.SZ,000056.SZ,000058.SZ,000059.SZ,000060.SZ,000061.SZ,000062.SZ,000063.SZ,000065.SZ,000066.SZ,000068.SZ,000069.SZ,000070.SZ,000078.SZ,000088.SZ,000089.SZ,000090.SZ,000096.SZ,000099.SZ,000100.SZ,000150.SZ,000151.SZ,000153.SZ,000155.SZ,000156.SZ,000157.SZ,000158.SZ,000159.SZ,000166.SZ,000301.SZ,000333.SZ,000338.SZ,000400.SZ,000401.SZ,000402.SZ,000403.SZ,000404.SZ,000407.SZ,000408.SZ,000409.SZ,000410.SZ,000411.SZ,000413.SZ,000415.SZ,000416.SZ,000417.SZ,000418.SZ,000419.SZ,000420.SZ,000421.SZ,000422.SZ,000423.SZ,000425.SZ,000426.SZ,000428.SZ,000429.SZ,000430.SZ,000488.SZ,000498.SZ,000501.SZ,000502.SZ,000503.SZ,000504.SZ,000505.SZ,000506.SZ,000507.SZ,000509.SZ,000510.SZ,000511.SZ,000513.SZ,000514.SZ,000516.SZ,000517.SZ,000518.SZ,000519.SZ,000520.SZ,000521.SZ,000523.SZ,000524.SZ,000525.SZ,000526.SZ,000528.SZ,000529.SZ,000530.SZ,000531.SZ,000532.SZ,000533.SZ,000534.SZ,000536.SZ,000537.SZ,000538.SZ,000539.SZ,000540.SZ,000541.SZ,000543.SZ,000544.SZ,000545.SZ,000546.SZ,000547.SZ,000548.SZ,000550.SZ,000551.SZ,000552.SZ,000553.SZ,000554.SZ,000555.SZ,000557.SZ,000558.SZ,000559.SZ,000560.SZ,000561.SZ,000563.SZ,000564.SZ,000565.SZ,000566.SZ,000567.SZ,000568.SZ,000570.SZ,000571.SZ,000572.SZ,000573.SZ,000576.SZ,000581.SZ,000582.SZ,000584.SZ,000585.SZ,000586.SZ,000587.SZ,000589.SZ,000590.SZ,000591.SZ,000592.SZ,000593.SZ,000595.SZ,000596.SZ,000597.SZ,000598.SZ,000599.SZ,000600.SZ,000601.SZ,000603.SZ,000605.SZ,000606.SZ,000607.SZ,000608.SZ,000609.SZ,000610.SZ,000611.SZ,000612.SZ,000613.SZ,000615.SZ,000616.SZ,000617.SZ,000619.SZ,000620.SZ,000622.SZ,000623.SZ,000625.SZ,000626.SZ,000627.SZ,000628.SZ,000629.SZ,000630.SZ,000631.SZ,000632.SZ,000633.SZ,000635.SZ,000636.SZ,000637.SZ,000638.SZ,000639.SZ,000650.SZ,000651.SZ,000652.SZ,000655.SZ,000656.SZ,000657.SZ,000659.SZ,000661.SZ,000662.SZ,000663.SZ,000665.SZ,000666.SZ,000667.SZ,000668.SZ,000669.SZ,000670.SZ,000671.SZ,000672.SZ,000673.SZ,000676.SZ,000677.SZ,000678.SZ,000679.SZ,000680.SZ,000681.SZ,000682.SZ,000683.SZ,000685.SZ,000686.SZ,000687.SZ,000688.SZ,000690.SZ,000691.SZ,000692.SZ,000693.SZ,000695.SZ,000697.SZ,000698.SZ,000700.SZ,000701.SZ,000702.SZ,000703.SZ,000705.SZ,000707.SZ,000708.SZ,000709.SZ,000710.SZ,000711.SZ,000712.SZ,000713.SZ,000715.SZ,000716.SZ,000717.SZ,000718.SZ,000719.SZ,000720.SZ,000721.SZ,000722.SZ,000723.SZ,000725.SZ,000726.SZ,000727.SZ,000728.SZ,000729.SZ,000731.SZ,000732.SZ,000733.SZ,000735.SZ,000736.SZ,000737.SZ,000738.SZ,000739.SZ,000750.SZ,000751.SZ,000752.SZ,000753.SZ,000755.SZ,000756.SZ,000757.SZ,000758.SZ,000759.SZ,000760.SZ,000761.SZ,000762.SZ,000766.SZ,000767.SZ,000768.SZ,000776.SZ,000777.SZ,000778.SZ,000779.SZ,000780.SZ,000782.SZ,000783.SZ,000785.SZ,000786.SZ,000788.SZ,000789.SZ,000790.SZ,000791.SZ,000792.SZ,000793.SZ,000795.SZ,000796.SZ,000797.SZ,000798.SZ,000799.SZ,000800.SZ,000801.SZ,000802.SZ,000803.SZ,000806.SZ,000807.SZ,000809.SZ,000810.SZ,000811.SZ,000812.SZ,000813.SZ,000815.SZ,000816.SZ,000818.SZ,000819.SZ,000820.SZ,000821.SZ,000822.SZ,000823.SZ,000825.SZ,000826.SZ,000828.SZ,000829.SZ,000830.SZ,000831.SZ,000833.SZ,000835.SZ,000836.SZ,000837.SZ,000838.SZ,000839.SZ,000848.SZ,000850.SZ,000851.SZ,000852.SZ,000856.SZ,000858.SZ,000859.SZ,000860.SZ,000861.SZ,000862.SZ,000863.SZ,000868.SZ,000869.SZ,000875.SZ,000876.SZ,000877.SZ,000878.SZ,000880.SZ,000881.SZ,000882.SZ,000883.SZ,000885.SZ,000886.SZ,000887.SZ,000888.SZ,000889.SZ,000890.SZ,000892.SZ,000893.SZ,000895.SZ,000897.SZ,000898.SZ,000899.SZ,000900.SZ,000901.SZ,000902.SZ,000903.SZ,000905.SZ,000906.SZ,000908.SZ,000909.SZ,000910.SZ,000911.SZ,000912.SZ,000913.SZ,000915.SZ,000917.SZ,000918.SZ,000919.SZ,000920.SZ,000921.SZ,000922.SZ,000923.SZ,000925.SZ,000926.SZ,000927.SZ,000928.SZ,000929.SZ,000930.SZ,000931.SZ,000932.SZ,000933.SZ,000935.SZ,000936.SZ,000937.SZ,000938.SZ,000939.SZ,000948.SZ,000949.SZ,000950.SZ,000951.SZ,000952.SZ,000953.SZ,000955.SZ,000957.SZ,000958.SZ,000959.SZ,000960.SZ,000961.SZ,000962.SZ,000963.SZ,000965.SZ,000966.SZ,000967.SZ,000968.SZ,000969.SZ,000970.SZ,000971.SZ,000972.SZ,000973.SZ,000975.SZ,000976.SZ,000977.SZ,000978.SZ,000979.SZ,000980.SZ,000981.SZ,000982.SZ,000983.SZ,000985.SZ,000987.SZ,000988.SZ,000989.SZ,000990.SZ,000993.SZ,000995.SZ,000996.SZ,000997.SZ,000998.SZ,000999.SZ,001696.SZ,001896.SZ,001965.SZ,001979.SZ,002001.SZ,002002.SZ,002003.SZ,002004.SZ,002005.SZ,002006.SZ,002007.SZ,002008.SZ,002009.SZ,002010.SZ,002011.SZ,002012.SZ,002013.SZ,002014.SZ,002015.SZ,002016.SZ,002017.SZ,002018.SZ,002019.SZ,002020.SZ,002021.SZ,002022.SZ,002023.SZ,002024.SZ,002025.SZ,002026.SZ,002027.SZ,002028.SZ,002029.SZ,002030.SZ,002031.SZ,002032.SZ,00203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"concept", "ED0D", "2017-12-26", "")
bankuai=concept.Data[0]  #板块分类不能有太多交叉，最好按行业分
stock=concept.Codes
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"sec_name", "ED0D", "2017-12-26", "").Data[0]

gainian=[]
allcon=[]
for val in bankuai:
    if type(val)==str:
        m=split(';',val) 
        gainian.append(m)
        allcon.extend(m)
    else:
        gainian.append([])
b=np.array(allcon)
u=[]
for val in allcon:
    if val not in u:
        u.append(val)
counts=[]
for val in u:
    a=allcon.count(val)
    counts.append(a)
xiaogai=[]
cishu=[]
for i in range(len(counts)):
    if counts[i]<100:
        xiaogai.append(u[i])
        cishu.append(counts[i])
        
xiaogainian=[]
for val in gainian:
    m=[]
    for v in val:
        if v in xiaogai:
            m.append(v)
    xiaogainian.append(m)
    
    
    
    
    
data=[stock,xiaogainian,xiaogai,cishu,stock,url3,name]

pfile=open('bankuai.pkl','wb')
pickle.dump(data,pfile)
pfile.close

pfile=open('bankuai.pkl','rb')
data=pickle.load(pfile)
stock,xiaogainian,xiaogai,cishu,stock,url3,name=data

scode=[]
for value in stock:
    
    if value[0]=='6':
        v='sh'+value[:6]
        scode.append(v)
    else:
        v='sz'+value[:6]
        scode.append(v)

#更新新浪代码
url='http://hq.sinajs.cn/list='
codestr=[]
hangshu2=int(len(scode)/800)+1
for j in range(hangshu2):
    lcode=''
    if j<hangshu2-1:
        for i in range(0,800):
            lcode=lcode+scode[i+j*800]+','
        lcode=lcode[: -1]
        codestr=codestr+[lcode]
    else:
        for i in range(j*800,len(scode)):
            lcode=lcode+scode[i]+','
        lcode=lcode[: -1]
        codestr=codestr+[lcode]    


url3=[]
for i in range(len(codestr)):   
    url3=url3+[url+codestr[i]]
    
#*********************
from WindPy import w
w.start()
fp=open(r"bankuai.txt")
arr=[]
for lines in fp.readlines():
    lines=lines.replace("\n","")
    arr.append(lines)
fp.close()
bankuai=arr[:: 2]
zhixing=arr[1:: 2]
codelist=[]
namelist=[]
for val in zhixing:
    ce=eval(val).Data
    codelist.append(ce[0])
    namelist.append(ce[1])

import pickle
pfile=open('bankuai.pkl','rb')
data=pickle.load(pfile)
stock,xiaogainian,xiaogai,cishu,stock,url3,name=data

xiaogainian=[]
for val in stock:
    c=[]
    for i in range(len(codelist)):
        if val in codelist[i]:
            c.append(bankuai[i])
    xiaogainian.append(c)
xiaogai=bankuai
cishu=[]
for val in codelist:
    cishu.append(len(val))
    
#***************************
import tushare as ts
#hangye=ts.get_industry_classified()
#diqu=ts.get_area_classified()
#gainian=ts.get_concept_classified()    

#************通达信概念板块
fp=open(r"tdxgn.txt")
arr=[]
for lines in fp.readlines():
    lines=lines.replace("\s+","")
    lines=lines.replace("\n","")
    arr.append(lines)
fp.close()
b=arr[0]+arr[1]
#result = ' '.join(b.split())
r = b.split()
tdxbk=[]
tdxcode=[]
for i in range(len(r)):
    if len(r[i])==6 and (r[i][0]=='0' or r[i][0]=='6' or r[i][0]=='3'):
        if len(r[i-1])==1 or len(r[i-1])==2:
            tdxcode.append([r[i]])
        else:
            tdxcode[-1].append(r[i])
    #elif len(r[i])>1 and r[i][0]!='0' and r[i][0]!='6' and r[i][0]!='3' and r[i][0]!='?' :
    elif len(r[i])>1  and r[i][0]!='?' :    
        tdxbk.append(r[i])
import pickle
pfile=open('bankuai2.pkl','rb')
data=pickle.load(pfile)
stock,xiaogainian,xiaogai,cishu,stock,url3,name=data
xiaogai=tdxbk
cishu=[]
for val in tdxcode:
    cishu.append(len(val))
xiaogainian=[]
for val in stock:
    c=[]
    code=val[:6]
    for i in range(len(tdxbk)):
        if code in tdxcode[i]:
            c.append(tdxbk[i])
    xiaogainian.append(c)
data=[stock,xiaogainian,xiaogai,cishu,stock,url3,name]

pfile=open('bankuai2.pkl','wb')
pickle.dump(data,pfile)
pfile.close


'''