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In [1]:

    
# Importing pandas
import pandas as pd
# Import pandas Web reader - for Yahoo/Google Finance
from pandas.util.testing import assert_frame_equal
import pandas_datareader.data as web

import numpy as np

import datetime

# Importing matplotlib and setting aesthetics for plotting later.
import matplotlib.pyplot as plt
%matplotlib inline
%config InlineBackend.figure_format = 'svg' 
plt.style.use('fivethirtyeight')









    



/home/guido/.ve/statistics/lib/python3.6/site-packages/pandas/compat/__init__.py:117: UserWarning: Could not import the lzma module. Your installed Python is incomplete. Attempting to use lzma compression will result in a RuntimeError.
  warnings.warn(msg)
/home/guido/.ve/statistics/lib/python3.6/site-packages/ipykernel_launcher.py:4: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.
  after removing the cwd from sys.path.



In [2]:

    
start = datetime.datetime(2015, 1, 1)



In [3]:

    
tickers_commercial = ["HGRE11.SA", "BRCR11.SA", "KNRI11.SA"]


b3_data = pd.DataFrame()
for fii in tickers_commercial:
    b3_data[fii] = web.DataReader(fii, data_source='yahoo', start=start)['Close']

b3_data.head()



In [4]:

    
def plot_normalized_returns(b3_data):
    log_returns = b3_data / b3_data.iloc[0]*100
    log_returns.plot(figsize=(15,5))
    plt.ylabel('NORMALIZED PRICES')
    plt.xlabel('DATE')
    plt.show()

plot_normalized_returns(b3_data)



In [14]:

    
tickers_logistic = ["HGLG11.SA", "GGRC11.SA", "FIIB11.SA", "ALZR11.SA", "LVBI11.SA"]
start = datetime.datetime(2019, 1, 1)

b3_data_logistic = pd.DataFrame()
for fii in tickers_logistic:
    b3_data_logistic[fii] = web.DataReader(fii, data_source='yahoo', start=start)['Close']

b3_data_logistic.head()



In [15]:

    
plot_normalized_returns(b3_data_logistic)



In [ ]:

	HGRE11.SA	BRCR11.SA	KNRI11.SA
Date
2015-01-02	126.656998	110.000000	104.199997
2015-01-05	128.199005	110.449997	105.199997
2015-01-06	125.500000	109.599998	105.750000
2015-01-07	125.500000	110.480003	104.000000
2015-01-08	125.500999	109.800003	104.500000

	HGLG11.SA	GGRC11.SA	FIIB11.SA	ALZR11.SA	LVBI11.SA
Date
2019-01-02	140.899994	136.619995	426.5	97.800003	105.0
2019-01-03	140.949997	135.000000	427.5	97.989998	105.0
2019-01-04	140.250000	134.500000	427.5	98.000000	105.0
2019-01-07	141.500000	134.699997	428.0	98.699997	105.0
2019-01-08	142.000000	134.179993	428.0	98.599998	101.0