iexfinance

iexfinance

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Python SDK for IEX Cloud <https://iexcloud.io>. Architecture mirrors that of the IEX Cloud API (and its documentation <https://iexcloud.io/docs/api/>).

An easy-to-use toolkit to obtain data for Stocks, ETFs, Mutual Funds, Forex/Currencies, Options, Commodities, Bonds, and Cryptocurrencies:

• Real-time and delayed quotes
• Historical data (daily and minutely)
• Financial statements (Balance Sheet, Income Statement, Cash Flow)
• End of Day Options Prices
• Institutional and Fund ownership
• Analyst estimates, Price targets
• Corporate actions (Dividends, Splits)
• Sector performance
• Market analysis (gainers, losers, volume, etc.)
• IEX market data & statistics (IEX supported/listed symbols, volume, etc)
• Social Sentiment and CEO Compensation

Example

.. image:: https://raw.githubusercontent.com/addisonlynch/iexfinance/master/docs/source/images/iexexample.gif

Documentation

Stable documentation is hosted on github.io <https://addisonlynch.github.io/iexfinance/stable/>__.

Development documentation <https://addisonlynch.github.io/iexfinance/devel/>__ is also available for the latest changes in master.

Install

From PyPI with pip (latest stable release):

$ pip3 install iexfinance

From development repository (dev version):

.. code:: bash

 $ git clone https://github.com/addisonlynch/iexfinance.git
 $ cd iexfinance
 $ python3 setup.py install

What's Needed to Access IEX Cloud?

An IEX Cloud account is required to acecss the IEX Cloud API. Various plans <https://iexcloud.io/pricing/>__ are availalbe, free, paid, and pay-as-you-go.

Your IEX Cloud (secret) authentication token can be passed to any function or at the instantiation of a Stock object. The easiest way to store a token is in the IEX_TOKEN environment variable.

Passing as an Argument

The authentication token can also be passed to any function call:


.. code-block:: python

    from iexfinance.refdata import get_symbols

    get_symbols(token="<YOUR-TOKEN>")

or at the instantiation of a ``Stock`` object:

.. code-block:: python

    from iexfinance.stocks import Stock

    a = Stock("AAPL", token="<YOUR-TOKEN>")
    a.get_quote()


How This Package is Structured
------------------------------

``iexfinance`` is designed to mirror the structure of the IEX Cloud API. The
following IEX Cloud endpoint groups are mapped to their respective
``iexfinance`` modules:

The most commonly-used
endpoints are the `Stocks <https://iexcloud.io/docs/api/#stocks>`__
endpoints, which allow access to various information regarding equities,
including quotes, historical prices, dividends, and much more.

The ``Stock`` `object <https://addisonlynch.github.io/iexfinance/stable/stocks.html#the-stock-object>`__
provides access to most endpoints, and can be instantiated with a symbol or
list of symbols:

.. code-block:: python

    from iexfinance.stocks import Stock

    aapl = Stock("AAPL")
    aapl.get_balance_sheet()

The rest of the package is designed as a 1:1 mirror. For example, using the
`Alternative Data <https://iexcloud.io/docs/api/#alternative-data>`__ endpoint
group, obtain the `Social Sentiment <https://iexcloud.io/docs/api/#social-sentiment>`__ endpoint with
``iexfinance.altdata.get_social_sentiment``:

.. code-block:: python

    from iexfinance.altdata import get_social_sentiment

    get_social_sentiment("AAPL")


Common Usage Examples
---------------------

The `iex-examples <https://github.com/addisonlynch/iex-examples>`__ repository provides a number of detailed examples of iexfinance usage. Basic examples are also provided below.


Real-time Quotes
~~~~~~~~~~~~~~~~

To obtain real-time quotes for one or more symbols, use the ``get_price``
method of the ``Stock`` object:

.. code:: python

    from iexfinance.stocks import Stock
    tsla = Stock('TSLA')
    tsla.get_price()

or for multiple symbols, use a list or list-like object (Tuple, Pandas Series,
etc.):

.. code:: python

    batch = Stock(["TSLA", "AAPL"])
    batch.get_price()


Historical Data
~~~~~~~~~~~~~~~

It's possible to obtain historical data using ``get_historical_data`` and
``get_historical_intraday``.

Daily
^^^^^

To obtain daily historical price data for one or more symbols, use the
``get_historical_data`` function. This will return a daily time-series of the ticker
requested over the desired date range (``start`` and ``end`` passed as
``datetime.datetime`` objects):

.. code:: python

    from datetime import datetime
    from iexfinance.stocks import get_historical_data

    start = datetime(2017, 1, 1)
    end = datetime(2018, 1, 1)

    df = get_historical_data("TSLA", start, end)

To obtain daily closing prices only (reduces message count), set
``close_only=True``:

.. code:: python

    df = get_historical_data("TSLA", "20190617", close_only=True)

For Pandas DataFrame output formatting, pass ``output_format``:

.. code:: python

    df = get_historical_data("TSLA", start, end, output_format='pandas')

It's really simple to plot this data, using `matplotlib <https://matplotlib.org/>`__:

.. code:: python

    import matplotlib.pyplot as plt

    df.plot()
    plt.show()


Minutely (Intraday)
^^^^^^^^^^^^^^^^^^^

To obtain historical intraday data, use ``get_historical_intraday`` as follows.
Pass an optional ``date`` to specify a date within three months prior to the
current day (default is current date):

.. code:: python

    from datetime import datetime
    from iexfinance.stocks import get_historical_intraday

    date = datetime(2018, 11, 27)

    get_historical_intraday("AAPL", date)

or for a Pandas Dataframe indexed by each minute:

.. code:: python

    get_historical_intraday("AAPL", output_format='pandas')

Fundamentals
~~~~~~~~~~~~

Financial Statements
^^^^^^^^^^^^^^^^^^^^

`Balance Sheet <https://addisonlynch.github.io/iexfinance/stable/stocks.html#balance-sheet>`__

.. code-block:: python

    from iexfinance.stocks import Stock

    aapl = Stock("AAPL")
    aapl.get_balance_sheet()

`Income Statement <https://addisonlynch.github.io/iexfinance/stable/stocks.html#income-statement>`__

.. code-block:: python

    aapl.get_income_statement()

`Cash Flow <https://addisonlynch.github.io/iexfinance/stable/stocks.html#cash-flow>`__

.. code-block:: python

    aapl.get_cash_flow()


Modeling/Valuation Tools
^^^^^^^^^^^^^^^^^^^^^^^^

`Analyst Estimates <https://addisonlynch.github.io/iexfinance/stable/stocks.html#estimates>`__

.. code-block:: python

    from iexfinance.stocks import Stock

    aapl = Stock("AAPL")

    aapl.get_estimates()


`Price Target <https://addisonlynch.github.io/iexfinance/stable/stocks.html#price-target>`__

.. code-block:: python

    aapl.get_price_target()


Social Sentiment
^^^^^^^^^^^^^^^^

.. code-block:: python

    from iexfinance.altdata import get_social_sentiment
    get_social_sentiment("AAPL")


CEO Compensation
^^^^^^^^^^^^^^^^

.. code-block:: python

    from iexfinance.altdata import get_ceo_compensation
    get_ceo_compensation("AAPL")

Fund and Institutional Ownership
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. code-block:: python

    from iexfinance.stocks import Stock
    aapl = Stock("AAPL")

    # Fund ownership
    aapl.get_fund_ownership()

    # Institutional ownership
    aapl.get_institutional_ownership()

Reference Data
~~~~~~~~~~~~~~

`List of Symbols IEX supports for API calls <https://addisonlynch.github.io/iexfinance/stable/refdata.html#symbols>`__

.. code-block:: python

    from iexfinance.refdata import get_symbols

    get_symbols()

`List of Symbols IEX supports for trading <https://addisonlynch.github.io/iexfinance/stable/refdata.html#iex-symbols>`__

.. code-block:: python

    from iexfinance.refdata import get_iex_symbols

    get_iex_symbols()

Account Usage
~~~~~~~~~~~~~

`Message Count <https://addisonlynch.github.io/iexfinance/stable/account.html#usage>`__

.. code-block:: python

    from iexfinance.account import get_usage

    get_usage(quota_type='messages')

API Status
~~~~~~~~~~

`IEX Cloud API Status <http://addisonlynch.github.io/iexfinance/stable/apistatus.html#iexfinance.tools.api.get_api_status>`__

.. code-block:: python

    from iexfinance.account import get_api_status

    get_api_status()


Configuration
-------------
.. _config.formatting:

Output Formatting
-----------------

By default, ``iexfinance`` returns data for most endpoints in a `pandas <https://pandas.pydata.org/>`__ ``DataFrame``.

Selecting ``json`` as the output format returns data formatted *exactly* as received from
the IEX Endpoint. Configuring ``iexfinance``'s output format can be done in two ways:

.. _config.formatting.env:

Environment Variable (Recommended)

For persistent configuration of a specified output format, use the environment variable IEX_OUTPUT_FORMAT. This value will be overridden by the output_format argument if it is passed.

macOS/Linux ^^^^^^^^^^^

Type the following command into your terminal:

.. code-block:: bash

$ export IEX_OUTPUT_FORMAT=pandas

Windows ^^^^^^^

See here <https://superuser.com/questions/949560/how-do-i-set-system-environment-variables-in-windows-10>__ for instructions on setting environment variables in Windows operating systems.

.. _config.formatting.arg:

output_format Argument

Pass ``output_format``  as an argument to any function call:

.. code-block:: python

    from iexfinance.refdata import get_symbols

    get_symbols(output_format='pandas').head()

or at the instantiation of a ``Stock`` object:

.. code-block:: python

    from iexfinance.stocks import Stock

    aapl = Stock("AAPL", output_format='pandas')
    aapl.get_quote().head()

Contact
-------

Email: `[e-mail] <[e-mail]>`__

Twitter: `alynchfc <https://www.twitter.com/alynchfc>`__

License
-------

Copyright © 2020 Addison Lynch

See LICENSE for details