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)