Metadata-Version: 2.1
Name: backtradermsms
Version: 1.9.75.123
Summary: BackTesting Engine
Home-page: https://github.com/mementum/backtradermsms
Author: Daniel Rodriguez
Author-email: danjrod@gmail.com
License: GPLv3+
Download-URL: https://github.com/mementum/backtradermsms/tarball/1.9.75.123
Description: backtrader
        ==========
        
        .. image:: https://img.shields.io/pypi/v/backtrader.svg
           :alt: PyPi Version
           :scale: 100%
           :target: https://pypi.python.org/pypi/backtrader/
        
        ..  .. image:: https://img.shields.io/pypi/dm/backtrader.svg
               :alt: PyPi Monthly Donwloads
               :scale: 100%
               :target: https://pypi.python.org/pypi/backtrader/
        
        .. image:: https://img.shields.io/pypi/l/backtrader.svg
           :alt: License
           :scale: 100%
           :target: https://github.com/backtrader/backtrader/blob/master/LICENSE
        .. image:: https://travis-ci.org/backtrader/backtrader.png?branch=master
           :alt: Travis-ci Build Status
           :scale: 100%
           :target: https://travis-ci.org/backtrader/backtrader
        .. image:: https://img.shields.io/pypi/pyversions/backtrader.svg
           :alt: Python versions
           :scale: 100%
           :target: https://pypi.python.org/pypi/backtrader/
        
        **Yahoo API Note**:
        
          [2018-11-16] After some testing it would seem that data downloads can be
          again relied upon over the web interface (or API ``v7``)
        
        **Tickets**
        
          The ticket system is (was, actually) more often than not abused to ask for
          advice about samples.
        
        For **feedback/questions/...** use the `Community <https://community.backtrader.com>`_
        
        Here a snippet of a Simple Moving Average CrossOver. It can be done in several
        different ways. Use the docs (and examples) Luke!
        ::
        
          from datetime import datetime
          import backtrader as bt
        
          class SmaCross(bt.SignalStrategy):
              def __init__(self):
                  sma1, sma2 = bt.ind.SMA(period=10), bt.ind.SMA(period=30)
                  crossover = bt.ind.CrossOver(sma1, sma2)
                  self.signal_add(bt.SIGNAL_LONG, crossover)
        
          cerebro = bt.Cerebro()
          cerebro.addstrategy(SmaCross)
        
          data0 = bt.feeds.YahooFinanceData(dataname='MSFT', fromdate=datetime(2011, 1, 1),
                                            todate=datetime(2012, 12, 31))
          cerebro.adddata(data0)
        
          cerebro.run()
          cerebro.plot()
        
        Including a full featured chart. Give it a try! This is included in the samples
        as ``sigsmacross/sigsmacross2.py``. Along it is ``sigsmacross.py`` which can be
        parametrized from the command line.
        
        Features:
        =========
        
        Live Trading and backtesting platform written in Python.
        
          - Live Data Feed and Trading with
        
            - Interactive Brokers (needs ``IbPy`` and benefits greatly from an
              installed ``pytz``)
            - *Visual Chart* (needs a fork of ``comtypes`` until a pull request is
              integrated in the release and benefits from ``pytz``)
            - *Oanda* (needs ``oandapy``) (REST API Only - v20 did not support
              streaming when implemented)
        
          - Data feeds from csv/files, online sources or from *pandas* and *blaze*
          - Filters for datas, like breaking a daily bar into chunks to simulate
            intraday or working with Renko bricks
          - Multiple data feeds and multiple strategies supported
          - Multiple timeframes at once
          - Integrated Resampling and Replaying
          - Step by Step backtesting or at once (except in the evaluation of the Strategy)
          - Integrated battery of indicators
          - *TA-Lib* indicator support (needs python *ta-lib* / check the docs)
          - Easy development of custom indicators
          - Analyzers (for example: TimeReturn, Sharpe Ratio, SQN) and ``pyfolio``
            integration (**deprecated**)
          - Flexible definition of commission schemes
          - Integrated broker simulation with *Market*, *Close*, *Limit*, *Stop*,
            *StopLimit*, *StopTrail*, *StopTrailLimit*and *OCO* orders, bracket order,
            slippage, volume filling strategies and continuous cash adjustmet for
            future-like instruments
          - Sizers for automated staking
          - Cheat-on-Close and Cheat-on-Open modes
          - Schedulers
          - Trading Calendars
          - Plotting (requires matplotlib)
        
        Documentation
        =============
        
        The blog:
        
          - `Blog <http://www.backtrader.com/blog>`_
        
        Read the full documentation at:
        
          - `Documentation <http://www.backtrader.com/docu>`_
        
        List of built-in Indicators (122)
        
          - `Indicators Reference <http://www.backtrader.com/docu/indautoref.html>`_
        
        Python 2/3 Support
        ==================
        
          - Python >= ``3.2``
        
          - It also works with ``pypy`` and ``pypy3`` (no plotting - ``matplotlib`` is
            not supported under *pypy*)
        
        Installation
        ============
        
        ``backtrader`` is self-contained with no external dependencies (except if you
        want to plot)
        
        From *pypi*:
        
          - ``pip install backtrader``
        
          - ``pip install backtrader[plotting]``
        
            If ``matplotlib`` is not installed and you wish to do some plotting
        
        .. note:: The minimum matplotlib version is ``1.4.1``
        
        An example for *IB* Data Feeds/Trading:
        
          - ``IbPy`` doesn't seem to be in PyPi. Do either::
        
              pip install git+https://github.com/blampe/IbPy.git
        
            or (if ``git`` is not available in your system)::
        
              pip install https://github.com/blampe/IbPy/archive/master.zip
        
        For other functionalities like: ``Visual Chart``, ``Oanda``, ``TA-Lib``, check
        the dependencies in the documentation.
        
        From source:
        
          - Place the *backtrader* directory found in the sources inside your project
        
        Version numbering
        =================
        
        X.Y.Z.I
        
          - X: Major version number. Should stay stable unless something big is changed
            like an overhaul to use ``numpy``
          - Y: Minor version number. To be changed upon adding a complete new feature or
            (god forbids) an incompatible API change.
          - Z: Revision version number. To be changed for documentation updates, small
            changes, small bug fixes
          - I: Number of Indicators already built into the platform
        
Keywords: trading,development
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: Topic :: Software Development
Classifier: Topic :: Office/Business :: Financial
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Operating System :: OS Independent
Provides-Extra: plotting
