Metadata-Version: 2.1
Name: quick-trade
Version: 3.9.6
Summary: Trading system for stocks, forex and others
Home-page: https://github.com/VladKochetov007/quick_trade
Author: Vlad Kochetov
Author-email: vladyslavdrrragonkoch@gmail.com
License: cc-by-sa-4.0
Download-URL: https://github.com/VladKochetov007/quick_trade/archive/3.9.5.tar.gz
Description: # quick_trade
        
        VIEW DOCUMENTATION: https://vladkochetov007.github.io/quick_trade.github.io
        
        P.S.: documentation now in v3.0
        
        ![image](https://github.com/VladKochetov007/quick_trade/blob/master/logo_with_slogan.PNG?raw=true)
        
        
        ```
        used:
         ├──ta by Darío López Padial (Bukosabino   https://github.com/bukosabino/ta)
         ├──tensorflow (https://github.com/tensorflow/tensorflow)
         ├──pykalman (https://github.com/pykalman/pykalman)
         ├──plotly (https://github.com/plotly/plotly.py)
         ├──scipy (https://github.com/scipy/scipy)
         ├──pandas (https://github.com/pandas-dev/pandas)
         ├──numpy (https://github.com/numpy/numpy)
         ├──itertools
         ├──datetime
         ├──python-binance
         └──iexfinance (https://github.com/addisonlynch/iexfinance)
        ```
        
        Algo-trading system with python.
        
        ## customize your strategy!
        
        ```
        import quick_trade.quick_trade.trading_sys as qtr
        import yfinance as yf
        
        class My_trader(qtr.Trader):
            def strategy_sell_and_hold(self):
                ret = []
                for i in self.df['Close'].values:
                    ret.append(qtr.utils.SELL)
                self.returns = ret
                self.set_credit_leverages(1.0)
                self.set_open_stop_and_take()
                return ret
        
        
        a = My_trader('MSFT', df=yf.download('MSFT', start='2019-01-01'))
        a.set_pyplot()
        a.set_client(qtr.BinanceTradingClient())
        a.strategy_sell_and_hold()
        a.backtest()
        ```
        
        ## installing:
        
        ```
        $ git clone https://github.com/VladKochetov007/quick_trade.git
        $ pip3 install -r quick_trade/requirements.txt
        ```
        
        or
        
        ```
        $ pip3 install quick-trade
        ```
        
        #### user_code example:
        
        ```
        import quick_trade.trading_sys as qtr
        import yfinance as yf
        
        
        df = yf.download(tickers='XRP-USD', period='5d', interval='1m')
        trader = qtr.Trader('XRP-USD', df=df, interval='1m')
        trader.set_client(qtr.TradingClient())
        trader.set_pyplot()
        trader.strategy_parabolic_SAR()
        trader.set_credit_leverages(1)
        trader.backtest(commission=0.075)
        ```
        
        ## output plotly chart:
        ![image](https://i.ibb.co/NyxbsV2/Unknown-2.png)
        
        ## output print
        
        ```
        losses: 226
        trades: 460
        profits: 232
        mean year percentage profit: 9075.656014641549%
        winrate: 50.43478260869565%
        ```
        
        
        
        ![image](https://i.ibb.co/mFLDJsX/IMG-5613.png)
        
        <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/">
        <img alt="Creative Commons License" 
        src="https://i.creativecommons.org/l/by-sa/4.0/88x31.png" />
        </a><br/>
        <span  property="dct:title">quick_trade</span> by 
        <a 
        href="https://github.com/VladKochetov007" 
        rel="cc:attributionURL">Vlad Kochetov</a> is licensed under a <a 
        href="http://creativecommons.org/licenses/by-sa/4.0/">
        Creative Commons Attribution-ShareAlike 4.0 International License</a>.
        <br />Based on a work at 
        <a 
        rel="dct:source">https://github.com/VladKochetov007/quick_trade</a>.
        <br />Permissions beyond the scope of this license may be available at
        <a
                href="vladyslavdrrragonkoch@gmail.com"
                rel="cc:morePermissions">vladyslavdrrragonkoch@gmail.com</a>.
        
Keywords: technical-analysis,python3,trading,binance,trading-bot,trading,binance-trading
Platform: UNKNOWN
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
