def get_tradcom_normalization(filename, mean=None, std=None):
    """  read in all X Data Frames and find mean and std of all columns...
    """
    Xdf = pd.read_csv(filename, sep=" ", index_col = 0, header = None)
    meanLoc = treat_X_tradcom(Xdf.mean())
    print("Mean Loc")
    print (meanLoc)
    sys.stdout.flush()

    if mean is None:
        mean = meanLoc

    mean = mean.to_frame().transpose()
    meanDf=pd.concat([mean, meanLoc.to_frame().transpose()])
    mean = meanDf.max()

    print("Mean")
    print (mean)
    sys.stdout.flush()

    stdLoc = treat_X_tradcom(Xdf.std())
    print("Std Loc")
    print (stdLoc)
    sys.stdout.flush()

    if std is None:
        std = stdLoc

    std = std.to_frame().transpose()
    stdDf=pd.concat([std, stdLoc.to_frame().transpose()])
    std = stdDf.max()

    print("Std")
    print (std)