trade 0.4.1

Financial Application Framework

Copyright (c) 2015-2017 Rafael da Silva Rocha

https://python-trade.appspot.com

https://github.com/rochars/trade

---

Installation

$ pip install trade

trade

trade is a framework for the development of financial applications. It operates on the concept of subjects and occurrences. A subject represent anything that can be traded, while an occurrence represent anything that affects one or more subjects, like a stock exchange operation or a stock split.

It is developed to work with any kind of subject and occurrence related to the financial market by following these principles:

• different subjects may have different attributes

• a subject may relate to none or many other subjects

• an occurrence must involve one or many subjects

• there may be an existing context for any subject

• different occurrences can implement different processes

• an occurrence may update the state of none or many subjects

Extending the framework with market-specific rules and exotic operations should be as simple as creating new types of subjects and occurrences.

You can try it live.

In a nutshell

A trade app works like a service. The user informs the items in stock and a series of subsequent occurrences (purchases, sales, whatsoever) with those or other items. trade then calculates the effects of those occurrences and gives back the new amounts and costs of the items in stock.

Quickstart

An example of the JSON interface:

from trade import trade
from trade.trade_json import TradeJSON


interface = TradeJSON(
    [trade.fetch_daytrades],
    {
        'Asset': trade.Asset,
        'Operation': trade.Operation,
    }
)

json_input = '''{
    "subjects": {
        "GOOG": {
            "type": "Asset",
            "name": "Google Inc"
        },
        "AAPL": {
            "type": "Asset",
            "name": "Apple, Inc."
        }
    },
    "occurrences": [
        {
            "type": "Operation",
            "subject": "AAPL",
            "date": "2015-11-10",
            "quantity": 10,
            "price": 120.15
        },
        {
            "type": "Operation",
            "subject": "GOOG",
            "date": "2015-11-10",
            "quantity": 10,
            "price": 724.89
        },
        {
            "type": "Operation",
            "subject": "GOOG",
            "date": "2015-11-10",
            "quantity": -5,
            "price": 724.98
        }
    ],
    "initial state": {
        "AAPL": {
            "date": "2015-10-09",
            "quantity": 92,
            "price": 119.27,
            "results": {"trades": 5021.72}
        }
    }
}'''

json_output = interface.get_trade_results(json_input)

print(json_output)
#$ {
#  "assets": {
#    "AAPL": {
#      "states": {
#        "2015-10-09": {
#          "price": 119.27,
#          "quantity": 92,
#          "results": {
#            "trades": 5021.7200000000003
#          }
#        },
#        "2015-11-10": {
#          "price": 119.35627450980392,
#          "quantity": 102,
#          "results": {
#            "trades": 5021.7200000000003
#          }
#        }
#      },
#      "totals": {
#        "daytrades": 0,
#        "operations": 1,
#        "purchases": 1,
#        "results": {
#          "trades": 5021.7200000000003
#        },
#        "sales": 0
#      }
#    },
#    "GOOG": {
#      "states": {
#        "2015-11-10": {
#          "price": 724.88999999999999,
#          "quantity": 5,
#          "results": {
#            "daytrades": 0.45000000000027285
#          }
#        }
#      },
#      "totals": {
#        "daytrades": 1,
#        "operations": 2,
#        "purchases": 1,
#        "results": {
#          "daytrades": 0.45000000000027285
#        },
#        "sales": 1
#      }
#    }
#  },
#  "totals": {
#    "daytrades": 1,
#    "operations": 3,
#    "purchases": {
#      "operations": 2,
#      "volume": 8450.3999999999996
#    },
#    "results": {
#      "daytrades": 0.45000000000027285,
#      "trades": 5021.7200000000003
#    },
#    "sales": {
#      "operations": 1,
#      "volume": 3624.9000000000001
#    }
#  }
#}

Compatibility

trade is compatible with Python 2.7, 3.3, 3.4, 3.5 and 3.6.

License

Copyright (c) 2015-2017 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.