Metadata-Version: 1.1
Name: trade
Version: 0.0.9
Summary: Tools For Stock Trading Applications.
Home-page: https://github.com/rochars/trade
Author: Rafael da Silva Rocha
Author-email: rocha.rafaelsilva@gmail.com
License: MIT
Description: trade: Tools For Stock Trading Applications.

        ============================================

        Copyright (c) 2015 Rafael da Silva Rocha  

        rocha.rafaelsilva@gmail.com  

        http://rochars.github.io/trade/  

        http://trade.readthedocs.org  

        

        

        What is it?

        -----------

        trade is a Python module that provides basic notions of assets, purchases,

        sales, daytrades, cost deduction, rates, options, option exercises

        and asset accumulation.

        

        With the trade module you can:

        * Identify daytrades in a group of operations

        * Prorate commissions and other costs by groups of operations  

        * Apply rates on operations

        * Calculate the average price of an asset after a series of operations

        * Calculate profits or losses relative to an asset, considering all rates and costs involved on its operations

        

        

        How do I install the trade module?

        ----------------------------------

        The trade module can be installed with pip:

        

        > pip install trade

        

        To check if everything went OK, open the Python console and import the module:

        

        ```python

        import trade

        asset = trade.Asset(name='some asset')

        print(asset.name)

        #>> some asset

        ```

        

        

        How can I use it?

        -----------------

        A basic example of the trade module in action:

        

        ```python

        import trade

        

        # create the asset that we are going to trade

        asset = trade.Asset(name='Google Inc', symbol='GOOGL')

        

        # create the accumulator to accumulate trades with the asset

        accumulator = trade.Accumulator(asset)

        

        

        print(accumulator.asset.name)

        #>> Google Inc

        

        print(accumulator.quantity)

        #>> 0

        

        print(accumulator.price)

        #>> 0

        

        print(accumulator.results)

        #>> {'trades': 0}

        

        

        # create a trade operation buying the asset

        purchase = trade.Operation(

                        asset=asset,

                        quantity=10,

                        price=650.73,

                        date='2015-09-23'

                    )

        

        # accumulate the trade

        accumulator.accumulate_operation(purchase)

        

        

        print(accumulator.quantity)

        #>> 10

        

        print(accumulator.price)

        #>> 650.73

        

        print(accumulator.results)

        #>> {'trades': 0}

        

        

        # create a new trade operation selling the asset

        sale = trade.Operation(

                    asset=asset,

                    quantity=-5,

                    price=656.77,

                    date='2015-09-24'

                )

        

        # accumulate the new trade

        accumulator.accumulate_operation(sale)

        

        

        print(accumulator.quantity)

        #>> 5

        

        print(accumulator.price)

        #>> 650.73

        

        print(accumulator.results)

        #>> {'daytrades': 0, 'trades': 30.199999999999818}

        ```

        

        Operation objects may include rates and commissions that are considered by the

        accumulator when it calculates results and average prices.

        

        The Accumulator can also log the accumulated operations and their results.

        

        Check the [documentation](http://trade.readthedocs.org) for all the available features.

        

        

        What about compatibility?

        -------------------------

        The trade module is compatible with Python 2.7 and Python 3.x.

        

        

        Version

        -------

        The current version is 0.0.9-alpha.

        

        

        License

        -------

        Copyright (c) 2015 Rafael da Silva Rocha

        

        Permission is hereby granted, free of charge, to any person obtaining a copy

        of this software and associated documentation files (the "Software"), to deal

        in the Software without restriction, including without limitation the rights

        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell

        copies of the Software, and to permit persons to whom the Software is

        furnished to do so, subject to the following conditions:

        

        The above copyright notice and this permission notice shall be included in

        all copies or substantial portions of the Software.

        

        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR

        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,

        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE

        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER

        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,

        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN

        THE SOFTWARE.

        
Keywords: asset stock securities market finance investment money currency
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2.7
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
