Skip to main content

Python module to get stock data from the Alpha Vantage Api

Project description

alpha\_vantage
==============

*Python module to get stock data from the Alpha Vantage API*

Alpha Vantage delivers a free API for real time financial data and most
used finance indicators in a simple json format. This module implements
a python interface to the free API provided by Alpha Vantage
(http://www.alphavantage.co/). It requires a free API, that can be
requested on http://www.alphavantage.co/support/#api-key.

Install
-------

To install the package use:

.. code:: shell

pip install alpha_vantage

If you want to install from source, then use:

.. code:: shell

git clone https://github.com/RomelTorres/alpha_vantage.git
pip install -e alpha_vantage

Usage
-----

To get data in a python, simply import the library and call the object
with your api key and get ready for some awesome free realtime finance
data.

.. code:: python

from alpha_vantage.timeseries import TimesSeries
ts = TimesSeries(key='YOUR_API_KEY')
# Get json object with the intraday data and another with the call's metadata
data, meta_data = ts.get_intraday('GOOGL')

Internally there is a retries counter, that can be used to minimize
connection errors (in case that the api is not able to respond in time),
the default is set to 5 but can be increased or decreased whenever
needed.

.. code:: python

ts = TimesSeries(key='YOUR_API_KEY',retries='YOUR_RETRIES')

Finally the library supports giving its results as json dictionaries
(default) or as pandas dataframe, simply pass the parameter
output\_format='pandas' to change the format of the output for all the
api calls.

.. code:: python

ts = TimesSeries(key='YOUR_API_KEY',output_format='pandas')

Plotting
--------

Using pandas support we can plot the intra-minute value for 'MSFT' stock
quite easily:

.. code:: python

from alpha_vantage.timeseries import TimesSeries
import matplotlib.pyplot as plt

ts = TimesSeries(key='YOUR_API_KEY', output_format='pandas')
data, meta_data = ts.get_intraday(symbol='MSFT',interval='1min', outputsize='full')
data['close'].plot()
plt.title('Intraday Times Series for the MSFT stock (1 min)')
plt.show()

Giving us as output: |alt text|

The same way we can get pandas to plot technical indicators like
Bolliger Bands®

.. code:: python

from alpha_vantage.techindicators import TechIndicators
import matplotlib.pyplot as plt

ti = TechIndicators(key='YOUR_API_KEY', output_format='pandas')
data, meta_data = ti.get_bbands(symbol='MSFT', interval='60min', time_period=60)
data.plot()
plt.title('BBbands indicator for MSFT stock (60 min)')
plt.show()

Giving us as output: |alt text|

Finally we can also plot sector performance just as easy:

.. code:: python

from alpha_vantage.sectorperformance import SectorPerformances
import matplotlib.pyplot as plt

sp = SectorPerformances(key='YOUR_API_KEY', output_format='pandas')
data, meta_data = sp.get_sector()
data['Rank A: Real-Time Performance'].plot(kind='bar')
plt.title('Real Time Performance (%) per Sector')
plt.tight_layout()
plt.grid()
plt.show()

Giving us as output: |alt text|

Tests
-----

In order to run the tests you have to first export your API key so that
the test can use it to run.

.. code:: shell

export API_KEY=YOUR_API_KEY
cd alpha_vantage
nosetests

Documentation
-------------

To find out more about the available api calls, visit the alpha-vantage
documentation at http://www.alphavantage.co/documentation/


.. |alt text| image:: images/docs_ts_msft_example.png?raw=True
.. |alt text| image:: images/docs_ti_msft_example.png?raw=True
.. |alt text| image:: images/docs_sp_rt_example.png?raw=True

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

alpha_vantage-1.1.4.tar.gz (12.8 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page