def QA_indicator_WR(DataFrame, N, N1):
    '威廉指标'
    HIGH = DataFrame['high']
    LOW = DataFrame['low']
    CLOSE = DataFrame['close']
    WR1 = 100 * (HHV(HIGH, N) - CLOSE) / (HHV(HIGH, N) - LLV(LOW, N))
    WR2 = 100 * (HHV(HIGH, N1) - CLOSE) / (HHV(HIGH, N1) - LLV(LOW, N1))
    DICT = {'WR1': WR1, 'WR2': WR2}

    return pd.DataFrame(DICT)
def QA_indicator_WR ( DataFrame , N , N1 ) : HIGH = DataFrame [ 'high' ] LOW = DataFrame [ 'low' ] CLOSE = DataFrame [ 'close' ] WR1 = 100 * ( HHV ( HIGH , N ) - CLOSE ) / ( HHV ( HIGH , N ) - LLV ( LOW , N ) ) WR2 = 100 * ( HHV ( HIGH , N1 ) - CLOSE ) / ( HHV ( HIGH , N1 ) - LLV ( LOW , N1 ) ) DICT = { 'WR1' : WR1 , 'WR2' : WR2 } return pd . DataFrame ( DICT )
威廉指标