Metadata-Version: 1.2
Name: ib-insync
Version: 0.9.45
Summary: Python sync/async framework for Interactive Brokers API
Home-page: https://github.com/erdewit/ib_insync
Author: Ewald R. de Wit
Author-email: ewald.de.wit@gmail.com
License: BSD
Description: |Group| |PyVersion| |Status| |PyPiVersion| |License| |Docs| |Downloads|
        
        Introduction
        ============
        
        The ``ib_insync`` package is build on top of the Python API
        from Interactive Brokers. The objective is to make it as
        easy as possible to use the API to its fullest extent.
        
        The main features are:
        
        * An ``IB`` component that automatically keeps in sync;
        * An easy to use linear style of programming (no more callbacks);
        * A fully asynchonous framework based on
          `asyncio <https://docs.python.org/3.6/library/asyncio.html>`_
          for advanced users;
        * Interactive operation with live data in Jupyter notebooks.
        
        Installation
        ------------
        
        ::
        
            pip3 install -U ib_insync
        
        On some systems the command is named ``pip`` instead of ``pip3``.
        
        If the package is to be installed for a single user,
        then add ``--user`` to the command.
        
        Requirements:
        
        * Python_ version 3.6 or higher;
        * The `Interactive Brokers Python API`_ version 9.74;
        * A running TWS or IB gateway application (version 971 or higher).
          Make sure the
          `API port is enabled <https://interactivebrokers.github.io/tws-api/initial_setup.html>`_
          and 'Download open orders on connection' is checked.
        
        To install packages needed for the examples and notebooks::
        
            pip3 install -U jupyter numpy pandas
        
        Example
        -------
        
        This is a complete script to download historical data:
        
        .. code-block:: python
        
            from ib_insync import *
            # util.startLoop()  # uncomment this line when in a notebook
        
            ib = IB()
            ib.connect('127.0.0.1', 7497, clientId=1)
        
            contract = Forex('EURUSD')
            bars = ib.reqHistoricalData(contract, endDateTime='', durationStr='30 D',
                    barSizeSetting='1 hour', whatToShow='MIDPOINT', useRTH=True)
        
            # convert to pandas dataframe:
            df = util.df(bars)
            print(df[['date', 'open', 'high', 'low', 'close']])
        
        Output::
        
                               date      open      high       low     close
            0   2017-08-13 23:15:00  1.182850  1.183100  1.182100  1.182400
            1   2017-08-14 00:00:00  1.182400  1.182450  1.181875  1.182175
            2   2017-08-14 01:00:00  1.182175  1.182675  1.181900  1.182525
            ...
            719 2017-09-22 22:00:00  1.194425  1.195425  1.194225  1.195050
        
        
        Be sure to take a look at the
        `notebooks <http://rawgit.com/erdewit/ib_insync/master/docs/html/notebooks.html>`_
        and the
        `recipes <http://rawgit.com/erdewit/ib_insync/master/docs/html/recipes.html>`_
        too.
        
        Documentation
        -------------
        
        The complete `API documentation <http://rawgit.com/erdewit/ib_insync/master/docs/html/api.html>`_.
        
        `Changelog <http://rawgit.com/erdewit/ib_insync/master/docs/html/changelog.html>`_.
        
        Discussion
        ----------
        
        The `insync user group <https://groups.io/g/insync>`_ is the place to discuss
        IB-insync and anything related to it.
        
        Disclaimer
        ----------
        
        The software is provided on the conditions of the simplified BSD license.
        
        This project is not affiliated with Interactive Brokers Group, Inc.'s.
        
        
        
        
        Good luck and enjoy,
        
        :author: Ewald de Wit <ewald.de.wit@gmail.com>
        
        .. _Python: http://www.python.org
        .. _`Interactive Brokers Python API`: http://interactivebrokers.github.io
        
        .. |Group| image:: https://img.shields.io/badge/groups.io-insync-green.svg
           :alt: Join the user group
           :target: https://groups.io/g/insync
        
        .. |PyPiVersion| image:: https://img.shields.io/pypi/v/ib_insync.svg
           :alt: PyPi
           :target: https://pypi.python.org/pypi/ib_insync
        
        .. |PyVersion| image:: https://img.shields.io/badge/python-3.6+-blue.svg
           :alt:
        
        .. |Status| image:: https://img.shields.io/badge/status-beta-green.svg
           :alt:
        
        .. |License| image:: https://img.shields.io/badge/license-BSD-blue.svg
           :alt:
        
        .. |Docs| image:: https://img.shields.io/badge/docs-ib_insync-brightgreen.svg
           :alt: Documentation
           :target: http://rawgit.com/erdewit/ib_insync/master/docs/html/api.html
        
        .. |Downloads| image:: https://pepy.tech/badge/ib-insync
           :alt: Number of downloads
           :target: https://pepy.tech/project/ib-insync
        
Keywords: ibapi asyncio jupyter interactive brokers async
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Office/Business :: Financial :: Investment
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.6
