code: 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(DICTf 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)
docs: 威廉指标