marheiska

import pandas_datareader as pdr
import pandas as pd
import numpy as np
from sklearn import linear_model
import scipy.stats as st

# Collect Data
data = pdr.DataReader(["TSLA","^GSPC"], 'yahoo','29-06-2010','01-01-2018')
data = data.drop(['High','Low','Open','Volume','Adj Close'], axis=1)
returns = data.pct_change(1) * 100