示例#1
0
def transfToMinWithTick(tickSourceFile, outputMinDir, cycles):
    rsk = outputMinDir
    qx = zw.zwDatX()
    qx.code = tickSourceFile.split(os.path.sep)[-1].split('_')[1].split('.')[0]
    qx.min_ksgns = cycles
    zwx.xtick2tim100(qx, tickSourceFile)
    zwx.xtick2minWr(qx, rsk)
示例#2
0
def getStkFromFile(StkSourcePath, startTime):
    #自动下载,追加数据
    #-------设置参数
    #股票代码文件
    #filePath='./data/stk_code.csv';
    #startTime = '1994-01-01'
    qx = zw.zwDatX(tt._rdatCN)
    zwx.down_stk_all(qx, StkSourcePath, startTime)
示例#3
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import pandas_datareader.data as web

#zw.Quant
import zwSys as zw
import zwQTBox as zwx

#-----------


def zw_down_yahoo8code(qx):
    try:
        xcod = qx.code
        xdat = web.DataReader(xcod, "yahoo", start="1/1/1900")
        fss = qx.rDay + xcod + ".csv"
        print(fss)
        xdat.to_csv(fss)
    except IOError:
        pass  #skip,error


#------------

qx = zw.zwDatX(zw._rdatUS)
qx.prDat()

#
code = 'USA'
qx.code = code
qx.rDay = "tmp\\"
zw_down_yahoo8code(qx)
示例#4
0
        ds1=pd.Series(mx1,index=c10); #生成一个pandas中的series
        ds2=ds1.T; #.T=转置(矩阵转置)
        df=df.append(ds2,ignore_index=True);#在df中加上ds2
        df.to_csv(ftg,index=False,encode='utf8'); #保存为csv,utf8编码
        
            
def zw_stk_anz_mx_all(qx,xlst):    #遍历指定list中的股票
    for fx in xlst:
        if (fx.find('Yah')>0):
            #rss=qx.rZWusDay
            rss=qx.rdat+'\\us\\day\\'
        else:
            if (fx=='inx_code'):rss=qx.rdat+'\\cn\\xday\\' #rss=qx.rZWcnXDay
            else:rss=qx.rdat+'\\cn\\day\\' #rss=qx.rZWcnDay
            
        finx0=fx; #生成文件名
        zw_stk_anz_mx(qx,finx0,rss); #用上一个函数生成csv文件
        
        
#============main        
qx=zw.zwDatX(zw._rdat0);


uslst=['inxYahoo30sp','inxYahoo100ns','inxYahoo100sp','inxYahoo600','inxYahoo500sp','inxYahoo']
zw_stk_anz_mx_all(qx,uslst)

cnlst=['inx_code','stk_sz50','stk_hs300','stk_zz500','stk_code','stk_code'];
zw_stk_anz_mx_all(qx,cnlst)


示例#5
0
文件: k102m1ext4.py 项目: slyrx/zk10
        if (_tim1x == kstr):
            df1 = df2[ystr2]
            if (len(df1) > 0):
                xd1a = df1.ix[0]
                xd1z = df1.ix[-1]
                nSum += 1
                #df.ix[,],选取行(0),列(1)
                vd1a = xd1a['close']
                vd1z = xd1z['close']
                #收盘价
                if (vd1z > vd1a): nAdd += 1  #月尾收盘价大于月初收盘价(升)
                else:
                    nDec += 1
                    #月尾收盘价小于月初收盘价(跌)

    #print('nSum,nAdd,nDec,',nSum,nAdd,nDec);
    return nSum, nAdd, nDec


#============main
qx = zw.zwDatX(zw._rdatCN)

cod = "002739"
#万达院线
#rss=qx.rZWcnDay;
rss = zw._rdatCN + 'day\\'
kstr = "01"
#zw_anz_m1sub(xcod,rss,kstr):
nSum, nAdd, nDec = zw_anz_m1sub(cod, rss, kstr)
print('nSum,nAdd,nDec', nSum, nAdd, nDec)
            
        
    
#============main        

#    运行前,请在zwdat建立以下3个数据目录
#    \zwDat\zw\cnDay\
#    \zwDat\zw\cnXDay\
#    \zwDat\zw\usDay\
#    作为输出目录
#

    
#------init

qdat=zw.zwDatX(zw._rdatCN);
qdat.prDat();

#-----------        
#   cnInx
finx=qdat.rdatInx+'inx_code.csv';
rsr=qdat.rdatCN+"XDay\\"
rtg=qdat.rZWcnXDay  #"\zwDat\zw\cnXDay\"    
zw_stk_xedit_all(qdat,finx,rsr,rtg);

#   cnSTK
finx=qdat.rdatInx+'stk_code.csv';
rsr=qdat.rdatCN+"Day\\"
rtg=qdat.rZWcnDay   #"\zwDat\zw\cnDay\"    
#zw_stk_xedit_all(qdat,finx,rsr,rtg);
示例#7
0
def getTodayTickAndCycle(StkSourcePath, cycles):
    qx = zw.zwDatX(tt.realTickPath)
    #qx.ksgns=cycles
    zwx.xtick_real_down_all(qx, StkSourcePath, cycles)
示例#8
0
def getInxFromFile(filePath):
    #下载大盘指数文件,
    #filepath = 'data/inx_code.csv';
    qx = zw.zwDatX(zw._rdatCN)
    zwx.down_stk_inx(qx, filePath)
示例#9
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def getPastTick(StkSourcePath, startDate, endDate):
    qx = zw.zwDatX(tt.hisTickPath)
    qx.xday0k = startDate
    qx.xday9k = endDate
    zwx.xtick_down8tim_all(qx, StkSourcePath)