jens
72c17e5d05
git-svn-id: http://moon:8086/svn/projects/Stock@291 fda53097-d464-4ada-af97-ba876c37ca34
41 lines
1.1 KiB
Python
41 lines
1.1 KiB
Python
'''
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On your terminal run:
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pip install alpha_vantage
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This also uses the pandas dataframe, and matplotlib, commonly used python packages
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pip install pandas
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pip install matplotlib
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For the develop version run:
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pip install git+https://github.com/RomelTorres/alpha_vantage.git@develop
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'''
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from alpha_vantage.timeseries import TimeSeries
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from alpha_vantage.techindicators import TechIndicators
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from matplotlib.pyplot import figure
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import matplotlib.pyplot as plt
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# Your key here
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key = '0UO7Z2MVZ2YSQSVE'
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# Chose your output format, or default to JSON (python dict)
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ts = TimeSeries(key, output_format='pandas')
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ti = TechIndicators(key, output_format='pandas')
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# Get the data, returns a tuple
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# aapl_data is a pandas dataframe, aapl_meta_data is a dict
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aapl_data, aapl_meta_data = ts.get_daily(symbol='AAPL')
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# aapl_sma is a dict, aapl_meta_sma also a dict
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aapl_sma, aapl_meta_sma = ti.get_sma(symbol='AAPL')
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aapl_data['4. close'].to_csv("aapl.csv")
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# Visualization
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figure(num=None, figsize=(15, 6), dpi=80, facecolor='w', edgecolor='k')
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aapl_data['4. close'].plot()
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#aapl_sma['SMA'].plot()
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plt.tight_layout()
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plt.grid()
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plt.show()
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