base trading bot. mathematics of mechanical trading systems

#This simple library allows to count and to plot several indicators.

#Supported indicators: #'ivar', 'atr', 'macd', 'rsi', 'bollinger', 'aroon', 'stohasctic'

#Supported candles: #'black_maribozu', 'white_maribozu', 'solders', 'crows'

#example of usage:

importing

from candleplot_trade_library import candleplotfigures

creating instance

CPF = candleplotfigures(ticker = 'BTC-USD', # 'BTC-USD', 'GOOG' period = "1d", # start= '2021-05-25 14:38:00-04:00', interval = "1m", html_log = True, full_console_log = True, buy_commission = 0.003, sell_commission = 0.003)

getting indicators plot

CPF.indicators.atr(TR = [14, 100])

CPF.indicators.macd(EMA1 = 12, EMA2 = 26, EMA_signal = 9)

CPF.indicators.rsi(EMA1 = 14, EMA2 = 20)

CPF.indicators.bollinger(WINDOW = 20, K = 2)

CPF.indicators.ivar(WINDOW = 10)

CPF.indicators.aroon(WINDOW = 14)

CPF.indicators.stohasctic(WINDOW = 5, EMA1 = 3, EMA2 = 3)

CPF.plot(['all'])

getting candle plot

CPF.candles.black_maribozu(percent_up = 0.1, percent_down = 0.1)

CPF.candles.white_maribozu(percent_up = 0.1, percent_down = 0.1)

CPF.candles.three_white_solders(percent = 0.5)

CPF.candles.three_black_crows(percent = 0.5)

CPF.plot(['white_maribozu', 'black_maribozu', 'three_white_solders', 'three_black_crows'])

getting plot for everything in library

CPF.plot(['all'])

defining indicators

indicators = [ 'ivar', 'atr', 'macd', 'rsi', 'bollinger', 'aroon', 'stohasctic', 'stohasctic_sma', 'black_maribozu', 'white_maribozu', 'solders', 'crows' ]

defining strategy (though its only one by now)

CPF.set_traid_strategy('simple', indicators = indicators, money = 300000)

run test trade for previous periods

CPF.trade_several(start_idx = 220)

get profit by each indicator

CPF.train(end = None, money = 100000)

run trade in real time

CPF.start(refresh_time = 5)

Link to github page

https://github.com/zungl/base-trading-bot.mathematics-of-mechanical-trading-systems

Link to pip

https://pypi.org/project/candleplot-trade/