tiingo 0.4.2

REST Client for Tiingo Data Platform API

=============
Tiingo Python
=============


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:alt: Updates


Tiingo is a financial data platform that makes high quality financial tools available to all. Tiingo has a REST and Real-Time Data API, which this library helps you to access. Presently, the API includes support for the following endpoints:

* Stock Market Ticker Closing Prices + Metadata. Data includes full distribution details and is validated using a proprietary EOD Price Engine.
* Curated news from top financial news sources + blogs. Stories are tagged with topic tags and relevant stock tickers by Tiingo's algorithms.


Usage
--------

First, install the library from PyPi:

.. code-block:: shell

pip install tiingo

Next, initialize your client. It is recommended to use an environment
variable to initialize your client for convenience.

.. code-block:: python

from tiingo import TiingoClient
# Set TIINGO_API_KEY in your environment variables in your .bash_profile, OR
# pass a dictionary with 'api_key' as a key into the TiingoClient.

client = TiingoClient()

Alternately, you may use a dictionary to customize/authorize your client.

.. code-block:: python

config = {}

# To reuse the same HTTP Session across API calls (and have better performance), include a session key.
config['session'] = True

# If you don't have your API key as an environment variable,
# pass it in via a configuration dictionary.
config['api_key'] = "MY_SECRET_API_KEY"

# Initialize
client = TiingoClient(config)

Now you can use ``TiingoClient`` to make your API calls. (Other parameters are available for each endpoint beyond what is used in the below examples, inspect the docstring for each function for details.).

.. code-block:: python

# Get Ticker
ticker_metadata = client.get_ticker_metadata("GOOGL")

# Get latest prices, based on 3+ sources as JSON, sampled weekly
ticker_price = client.get_ticker_price("GOOGL", frequency="weekly")

# Get historical GOOGL prices from August 2017 as JSON, sampled daily
historical_prices = client.get_ticker_price("GOOGL",
fmt='json',
startDate='2017-08-01',
endDate='2017-08-31',
frequency='daily')

# Check what tickers are available, as well as metadata about each ticker
# including supported currency, exchange, and available start/end dates.
tickers = client.list_stock_tickers()

# Get news articles about given tickers or search terms from given domains
articles = client.get_news(tickers=['GOOGL', 'APPL'],
tags=['Laptops'],
sources=['washingtonpost.com'],
startDate='2017-01-01',
endDate='2017-08-31')


Further Docs
--------

* Official Tiingo Documentation: https://api.tiingo.com
* Tiingo-Python Documentation (Under Construction): https://tiingo-python.readthedocs.io.

Features
--------

* Easy programmatic access to Tiingo API
* Reuse requests session across API calls for better performance
* On most methods, pass in `fmt="object"` as a keyword to have your responses come back as `NamedTuples`, which should have a lower memory impact than regular Python dictionaries.

Roadmap:
--------

* Client-side validation of tickers
* Data validation of returned responses
* Case insensitivity for ticker names
* More documentation / code examples

Feel free to file a PR that implements any of the above items.

Credits
---------

* Many thanks to Rishi Singh for creating Tiingo.

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage

=======
History
=======

0.4.0 (2017-10-22)
------------------

* Make tests run in 1/10th the time with ``vcr.py`` (@condemil #32)
* Add support for returning python objects instead of dictionaries (@BharatKalluri #33)


0.3.0 (2017-09-17)
------------------

* Add support for listing all tickers + date ranges
* Add support for interacting with the ``/news`` API
* Improve logging of REST client errors


0.2.0 (2017-09-01)
------------------

* Improve test coverage of tickers endpoint
* Deprecate the Mutual Funds endpoint

0.1.0 (2017-08-24)
------------------

* First release on PyPI.