A script to help visualize the volatility of assets with a histogram

Visualising Volatility of Single Assets.py

import pandas as pd
from pandas_datareader import data as web
import matplotlib.pyplot as plt
from datetime import datetime

start = datetime(2016,1,1)
end = datetime(2017,1,1)

assets = ['AAPL', 'FB', 'TSLA']

df = pd.DataFrame()

for stock in assets:
    df[stock] = web.DataReader(stock, data_source='yahoo', start=start, end=end)['Adj Close']

asset_returns_daily = df.pct_change()
asset_volatility_daily = asset_returns_daily.std()

asset_returns_daily.plot.hist(bins=50, figsize=(10,6));
plt.xlabel('Daily Returns')
plt.show()