============= yahoo-finance =============
    Python module to get stock data from Yahoo! Finance

    .. image:: https://travis-ci.org/lukaszbanasiak/yahoo-finance.svg?branch=master
        :target: https://travis-ci.org/lukaszbanasiak/yahoo-finance

    Yahoo! Finance backend is http://datatables.org/. If this service is down or
    has network problems you will receive errors from group YQL*,
    eg. ``YQLQueryError``.

    You can monitor this service via https://www.datatables.org/healthchecker/

    More details https://github.com/lukaszbanasiak/yahoo-finance/issues/44

    Install
    -------

    From PyPI with pip:

    .. code:: bash

        $ pip install yahoo-finance

    From development repo (requires git)

    .. code:: bash

        $ git clone git://github.com/lukaszbanasiak/yahoo-finance.git
        $ cd yahoo-finance
        $ python setup.py install

    Usage examples
    --------------

    Get shares data
    ^^^^^^^^^^^^^^^

    Example: Yahoo! Inc. (``YHOO``)

    .. code:: python

        >>> from yahoo_finance import Share
        >>> yahoo = Share('YHOO')
        >>> print yahoo.get_open()
        '36.60'
        >>> print yahoo.get_price()
        '36.84'
        >>> print yahoo.get_trade_datetime()
        '2014-02-05 20:50:00 UTC+0000'

    Refresh data from market

    .. code:: python

        >>> yahoo.refresh()
        >>> print yahoo.get_price()
        '36.87'
        >>> print yahoo.get_trade_datetime()
        '2014-02-05 21:00:00 UTC+0000'

    Historical data

    .. code:: python

        >>> print yahoo.get_historical('2014-04-25', '2014-04-29')
        [{u'Volume': u'28720000', u'Symbol': u'YHOO', u'Adj_Close': u'35.83', u'High': u'35.89', u'Low': u'34.12', u'Date': u'2014-04-29', u'Close': u'35.83', u'Open': u'34.37'}, {u'Volume': u'30422000', u'Symbol': u'YHOO', u'Adj_Close': u'33.99', u'High': u'35.00', u'Low': u'33.65', u'Date': u'2014-04-28', u'Close': u'33.99', u'Open': u'34.67'}, {u'Volume': u'19391100', u'Symbol': u'YHOO', u'Adj_Close': u'34.48', u'High': u'35.10', u'Low': u'34.29', u'Date': u'2014-04-25', u'Close': u'34.48', u'Open': u'35.03'}]

    More readable output :)

    .. code:: python

        >>> from pprint import pprint
        >>> pprint(yahoo.get_historical('2014-04-25', '2014-04-29'))
        [{u'Adj_Close': u'35.83',
          u'Close': u'35.83',
          u'Date': u'2014-04-29',
          u'High': u'35.89',
          u'Low': u'34.12',
          u'Open': u'34.37',
          u'Symbol': u'YHOO',
          u'Volume': u'28720000'},
         {u'Adj_Close': u'33.99',
          u'Close': u'33.99',
          u'Date': u'2014-04-28',
          u'High': u'35.00',
          u'Low': u'33.65',
          u'Open': u'34.67',
          u'Symbol': u'YHOO',
          u'Volume': u'30422000'},
         {u'Adj_Close': u'34.48',
          u'Close': u'34.48',
          u'Date': u'2014-04-25',
          u'High': u'35.10',
          u'Low': u'34.29',
          u'Open': u'35.03',
          u'Symbol': u'YHOO',
          u'Volume': u'19391100'}]

    Available methods

    - ``get_price()``
    - ``get_change()``
    - ``get_percent_change()``
    - ``get_volume()``
    - ``get_prev_close()``
    - ``get_open()``
    - ``get_avg_daily_volume()``
    - ``get_stock_exchange()``
    - ``get_market_cap()``
    - ``get_book_value()``
    - ``get_ebitda()``
    - ``get_dividend_share()``
    - ``get_dividend_yield()``
    - ``get_earnings_share()``
    - ``get_days_high()``
    - ``get_days_low()``
    - ``get_year_high()``
    - ``get_year_low()``
    - ``get_50day_moving_avg()``
    - ``get_200day_moving_avg()``
    - ``get_price_earnings_ratio()``
    - ``get_price_earnings_growth_ratio()``
    - ``get_price_sales()``
    - ``get_price_book()``
    - ``get_short_ratio()``
    - ``get_trade_datetime()``
    - ``get_historical(start_date, end_date)``
    - ``get_info()``
    - ``get_name()``
    - ``refresh()``
    - ``get_percent_change_from_year_high()``
    - ``get_percent_change_from_year_low()``
    - ``get_change_from_year_low()``
    - ``get_change_from_year_high()``
    - ``get_percent_change_from_200_day_moving_average()``
    - ``get_change_from_200_day_moving_average()``
    - ``get_percent_change_from_50_day_moving_average()``
    - ``get_change_from_50_day_moving_average()``
    - ``get_EPS_estimate_next_quarter()``
    - ``get_EPS_estimate_next_year()``
    - ``get_ex_dividend_date()``
    - ``get_EPS_estimate_current_year()``
    - ``get_price_EPS_estimate_next_year()``
    - ``get_price_EPS_estimate_current_year()``
    - ``get_one_yr_target_price()``
    - ``get_change_percent_change()``
    - ``get_dividend_pay_date()``
    - ``get_currency()``
    - ``get_last_trade_with_time()``
    - ``get_days_range()``
    - ``get_year_range()``



    Get currency data
    ^^^^^^^^^^^^^^^^^

    Example: EUR/PLN (``EURPLN=X``)

    .. code:: python

        >>> from yahoo_finance import Currency
        >>> eur_pln = Currency('EURPLN')
        >>> print eur_pln.get_bid()
        '4.2007'
        >>> print eur_pln.get_ask()
        '4.2091'
        >>> print eur_pln.get_rate()
        '4.2049'
        >>> print eur_pln.get_trade_datetime()
        '2014-03-05 11:23:00 UTC+0000'

    Refresh data from market

    .. code:: python

        >>> eur_pln.refresh()
        >>> print eur_pln.get_rate()
        '4.2052'
        >>> print eur_pln.get_trade_datetime()
        '2014-03-05 11:27:00 UTC+0000'

    Avalible methods

    - ``get_bid()``
    - ``get_ask()``
    - ``get_rate()``
    - ``get_trade_datetime()``
    - ``refresh()``

    Requirements
    ------------

    See ``requirements.txt``
Filters
