def featRunUp( dData, lLookback=30, b_human=False ):
    '''
    @summary: CalculateRunup for the stock
    @param dData: Dictionary of data to use
    @param lLookback: Number of days to calculate min over 
    @return: DataFrame array containing feature values
    @param b_human: if true return dataframe to plot
    @warning: Drawdown and RunUp can depend heavily on when the sample starts
    '''
    
    dfPrice = dData['close']
    
    dfMax = pand.rolling_min(dfPrice, lLookback)
    return dfMax / dfPrice;
            
    if b_human:
        for sym in dData['close']:
            x=1000/dData['close'][sym][0]
            dData['close'][sym]=dData['close'][sym]*x
        return dData['close']
    return dfRet
dataset/ETHPy150Open QuantSoftware/QuantSoftwareToolkit/QSTK/qstkfeat/features.py/featRunUp/swapped operands of `/`