def get_raw_xy(data):
    """
    Return only metrics/values that we will base
    our predictions on first, then a list of closing prices.

    Both metrics/values are from the same day.
    """
    # Removing data column and adj close.
    # Assuming that our data don't have any
    # dividents, so close column is the same as
    # adj close.
    data=data.drop(columns=['Date','Adj Close'])
    values=data.values
    # Each column number match a specific metric:
    # Open=0,High=1,Low=2,Close=3,Volume=4
    return values[:, [0,1,2,3,4]], values[:, 3]