Exemplo n.º 1
0
def getPairQuote(jqETFID, jqFutureID, sdate, unitETFVolumns):
    fMultiply= cfg.getFutureMultiply(jqFutureID)
    mdata= cfg.getMergeData(jqETFID, jqFutureID, sdate)
    mdata['bidp']= mdata.apply(lambda x:getMDPrice(x.b1_p, x.b2_p, x.b3_p, x.b4_p, x.b5_p, x.b1_v, x.b2_v, x.b3_v, x.b4_v, x.b5_v, unitETFVolumns), axis = 1)
    mdata['askp']= mdata.apply(lambda x:getMDPrice(x.a1_p, x.a2_p, x.a3_p, x.a4_p, x.a5_p, x.a1_v, x.a2_v, x.a3_v, x.a4_v, x.a5_v, unitETFVolumns), axis = 1)
    mdata= mdata[['bidp', 'askp', 'fb1_p', 'fa1_p']]
    mdata['lesf']= mdata['askp']*unitETFVolumns- mdata['fb1_p']* fMultiply
    mdata['self']= mdata['bidp']*unitETFVolumns- mdata['fa1_p']* fMultiply
    return mdata
Exemplo n.º 2
0
def getPairStatInfo(jqETFID, jqFutureID, listTradeDay, nIndex, nParamDay= 5):
    listdata= []
    for i in range(nParamDay):
        mdata= cfg.getMergeData(jqETFID, jqFutureID, listTradeDay[nIndex- 1- i])
        listdata.append(mdata[['current', 'fcurrent']])
    mdata= pd.concat(listdata)
    inid= mdata.mean()
    fMultiply= cfg.getFutureMultiply(jqFutureID)
    unitETFVolumns= np.round(inid['fcurrent']* fMultiply/ inid['current'], -2)
    mdata['basis']= mdata['current']*unitETFVolumns- mdata['fcurrent']* fMultiply
    basisMean= np.round( mdata['basis'].mean())
    basisStd= np.round( mdata['basis'].std())
    return [unitETFVolumns, basisMean, basisStd]
Exemplo n.º 3
0
    return pdTradeInfo, pdAllTrade


if __name__ == '__main__':
    t0 = ti.time()
    jqFutureID = 'IC2009.CCFX'
    jqETFID = '510500.XSHG'
    listTradeDay = cfg.getTradeDays()
    nIndex = -1
    nTestDay = 5
    tradeThreshold = 1
    positionThreshold = 5
    levelThreshold = 8
    nTradeSilence = 3
    nParamDay = 5
    mdata = cfg.getMergeData(jqETFID, jqFutureID, listTradeDay[nIndex])
    statInfo = getPairStatInfo(jqETFID, jqFutureID, listTradeDay, nParamDay,
                               nIndex)  #unitETFVolumns, basisMean, basisStd
    print('day: ' + listTradeDay[nIndex])
    print('unitETFVolumns: %d' % statInfo[0])
    print('basisMean: %d' % statInfo[1])
    print('basisStd: %d' % statInfo[2])
    pqdata = getPairQuote(jqETFID, jqFutureID, listTradeDay[nIndex],
                          statInfo[0])
    iniPosition = pd.DataFrame(columns=('volume', 'price'))
    pdTrade, pdPosition, statInfo = simuDay(jqETFID, jqFutureID, listTradeDay,
                                            nIndex, nParamDay, tradeThreshold,
                                            positionThreshold, levelThreshold,
                                            nTradeSilence, iniPosition)
    print('day: %s, P&L: %0.2f' % (listTradeDay[nIndex], statInfo[-1]))
    pdTradeInfo, pdAllTrade = PairTradeStrategy(jqETFID, jqFutureID, nParamDay,