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توضیحات

Automatic trading library for cryptocurrencies.

ویژگی	مقدار
سیستم عامل	-
نام فایل	alchemist_lib-1.0
نام	alchemist_lib
نسخه کتابخانه	1.0
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Carniel Giorgio
ایمیل نویسنده	dodo.33@gmx.com
آدرس صفحه اصلی	https://github.com/Dodo33/alchemist-lib
آدرس اینترنتی	https://pypi.org/project/alchemist_lib/
مجوز	MIT

.. image:: https://i.imgur.com/9bC0YgB.png :target: https://github.com/Dodo33/alchemist-lib :width: 212px :align: center :alt: Alchemist Alchemist_lib ************* Description =========== Alchemist_lib is an automatic trading library for cryptocurrencies that allow to personalize the portfolio based on a specific strategy. Features ======== - Easy to use: The interface is similar to `zipline <http://www.zipline.io/>`_, a popular backtesting software for stocks. - Portfolio personalization: You can choose the weight of every element on the portfolio. - Most common technical analysis indicators already integrated. - Execute orders on the most famous exchanges. - Possibility to visualize the asset allocation and the portfolio value charts for every strategy thanks to `alchemist-view <https://github.com/Dodo33/alchemist-view>`_. - Fully documented and hosted on `readthedocs <http://alchemist-lib.readthedocs.io/en/latest/index.html#>`_. Supported Exchanges =================== The following exchanges are available to trade on: - `Poloniex <https://poloniex.com/>`_ - `Bittrex <https://bittrex.com/>`_ Requirements ============ - Python3 - Mysql Installation ============ See the `installing documentation <http://alchemist-lib.readthedocs.io/en/latest/install.html>`_. Code example ============ Strategy description: *Hold a portfolio equally composed by Ethereum and BitcoinCash.* :: from alchemist_lib.portfolio import LongsOnlyPortfolio from alchemist_lib.broker import PoloniexBroker from alchemist_lib.tradingsystem import TradingSystem import alchemist_lib.exchange as exch import pandas as pd def set_weights(df): df["weight"] = 0.5 #Because there are just two assets. return df def select_universe(session): poloniex_assets = exch.get_assets(session = session, exchange_name = "poloniex") my_universe = [] for asset in poloniex_assets: if asset.ticker == "ETH" or asset.ticker == "BCH": my_universe.append(asset) return my_universe def handle_data(session, universe): #The value of alpha is useless in this case. df = pd.DataFrame(data = {"asset" : universe, "alpha" : 0}, columns = ["asset", "alpha"]).set_index("asset") return df algo = TradingSystem(name = "BuyAndHold", portfolio = LongsOnlyPortfolio(capital = 0.02), set_weights = set_weights, select_universe = select_universe, handle_data = handle_data, broker = PoloniexBroker(api_key = "APIKEY", secret_key = "SECRETKEY"), paper_trading = True) algo.run(delay = "15M", frequency = 1) Screenshot ---------- .. image:: https://i.imgur.com/G3p1IeZ.png :target: https://github.com/Dodo33/alchemist-lib :width: 300px :height: 150px :align: center :alt: BuyAndHold example Basic concepts ============== Alchemist_lib works with three methods: - set_weights - select_universe - handle_data *set_weights* is used to set the weight that an asset has respect the others within the portfolio. The sum of every weight must be close to 1. Must returns a pandas dataframe with two columns: "asset" and "alpha", where "asset" is the index. *select_universe* filters the assets saved on the database and returns just the ones the strategy will take into consideration. *handle_data* is the most importat one because it manages the trading logic. Must returns a pandas dataframe with two columns: "asset" and "alpha", where "asset" is the index. You can find other examples in the ``examples`` directory. Reporting bugs ============== A `bug tracker <https://github.com/Dodo33/alchemist-lib/issues>`_ is provided by Github.

نحوه نصب

نصب پکیج whl alchemist_lib-1.0:

pip install alchemist_lib-1.0.whl

نصب پکیج tar.gz alchemist_lib-1.0:

pip install alchemist_lib-1.0.tar.gz