def stockValueOverTime():
print(
"enter the code for the company you want to check the predictions of:")
companyCode = input()
print("Enter the start Date(SYNTAX: YYYY-MM-DD)")
start_date = input(datetime.date)
print("Enter the end Date(SYNTAX: YYYY-MM-DD)")
end_date = input(datetime.date)
print("Enter number of shares")
nshares = int(input())
st = Stocker(companyCode)
st.buy_and_hold(start_date, end_date, nshares)
# In[34]:
f = open('msft4.txt', 'w')
f.write(
str(
microsoft.plot_stock(start_date='2015-01-01',
end_date=None,
stats=['Adj. Volume'],
plot_type='pct')))
f.close()
# In[35]:
microsoft.buy_and_hold(start_date='1986-03-13',
end_date='2018-01-16',
nshares=100)
# In[36]:
f = open('msft5.txt', 'w')
f.write(
str(
microsoft.buy_and_hold(start_date='1986-03-13',
end_date='2018-01-16',
nshares=100)))
f.close()
# In[37]:
microsoft.buy_and_hold(start_date='1999-01-05',
stats = ['Adj. Volume'], plot_type='pct')
# In[13]:
f = open('./BMI/bmi4.txt','w')
f.write(str(britishmidland.plot_stock(start_date = '2015-01-01', end_date = None,
stats = ['Adj. Volume'], plot_type='pct')))
f.close()
# In[14]:
britishmidland.buy_and_hold(start_date='1986-03-13', end_date='2018-01-16', nshares=100)
# In[15]:
f = open('./BMI/bmi5.txt','w')
f.write(str(britishmidland.buy_and_hold(start_date='1986-03-13', end_date='2018-01-16', nshares=100)))
f.close()
# In[16]:
britishmidland.buy_and_hold(start_date='1999-01-05', end_date='2002-01-03', nshares=100)
get_ipython().system('pip install quandl')
get_ipython().system('pip install fbprophet')
get_ipython().system('pip install pytrends')
from stocker import Stocker
import quandl
quandl.ApiConfig.api_key = 'AsJgrNdvc_MbnWxwNB4V'
import matplotlib.pyplot as plt
ms = Stocker('MSFT')
ms.plot_stock()
ms.changepoint_date_analysis()
ms.buy_and_hold(start_date='2017-09-01', end_date='2018-03-01', nshares=100)
model, future = ms.create_prophet_model(days=180)
