def __init__(self, parent, logger=None):
super(Configuration, self).__init__(parent) # Initializing object
uic.loadUi(configurationUi, self) # Loading the main UI
self.parent = parent
self.threadPool = QThreadPool()
self.logger = logger
self.data = None
self.dataType = None
self.downloadThread = None
self.tokenPass = False
self.chatPass = False
self.credentialsFolder = "Credentials"
self.configFolder = 'Configuration'
self.basicFilePath = os.path.join(helpers.ROOT_DIR, 'state.json')
self.categoryTabs = [
self.mainConfigurationTabWidget,
self.simulationConfigurationTabWidget,
self.backtestConfigurationTabWidget,
]
self.strategies = get_strategies_dictionary(Strategy.__subclasses__())
self.strategyDict = {} # We will store all the strategy slot information in this dictionary.
self.lossDict = {} # We will store stop loss settings here.
self.takeProfitDict = {} # We will store take profit settings here.
self.load_combo_boxes() # Primarily used for backtest interval changer logic.
self.load_slots() # Loads stop loss, take profit, and strategies slots.
self.load_credentials() # Load credentials if they exist.
def __init__(self,
startingBalance: float,
data: list,
strategies: list,
strategyInterval: Union[str, None] = None,
symbol: str = None,
marginEnabled: bool = True,
startDate: datetime = None,
endDate: datetime = None,
drawdownPercentage: int = 100,
precision: int = 4,
outputTrades: bool = True,
logger: Logger = None):
super().__init__(symbol=symbol,
precision=precision,
startingBalance=startingBalance,
marginEnabled=marginEnabled)
convert_all_dates_to_datetime(data)
self.data = data
self.check_data()
self.outputTrades: bool = outputTrades # Boolean that'll determine whether trades are outputted to file or not.
self.interval = self.get_interval()
self.intervalMinutes = get_interval_minutes(self.interval)
self.pastActivity = [
] # We'll add previous data here when hovering through graph in GUI.
self.drawdownPercentageDecimal = drawdownPercentage / 100 # Percentage of loss at which bot exits backtest.
self.optimizerRows = []
self.logger = logger
if len(strategyInterval.split()) == 1:
strategyInterval = convert_small_interval(strategyInterval)
self.allStrategies = get_strategies_dictionary(
Strategy.__subclasses__())
self.strategyInterval = self.interval if strategyInterval is None else strategyInterval
self.strategyIntervalMinutes = get_interval_minutes(
self.strategyInterval)
self.intervalGapMinutes = self.strategyIntervalMinutes - self.intervalMinutes
self.intervalGapMultiplier = self.strategyIntervalMinutes // self.intervalMinutes
if self.intervalMinutes > self.strategyIntervalMinutes:
raise RuntimeError(
f"Your strategy interval ({self.strategyIntervalMinutes} minute(s)) can't be smaller "
f"than the data interval ({self.intervalMinutes} minute(s)).")
self.ema_dict = {}
self.rsi_dictionary = {}
self.setup_strategies(strategies)
self.startDateIndex = self.get_start_index(startDate)
self.endDateIndex = self.get_end_index(endDate)
def __init__(self,
startingBalance: float,
data: list,
strategies: list,
strategyInterval: Union[str, None] = None,
symbol: str = None,
marginEnabled: bool = True,
startDate: datetime = None,
endDate: datetime = None,
precision: int = 4,
outputTrades: bool = True):
super().__init__(symbol=symbol,
precision=precision,
startingBalance=startingBalance)
self.marginEnabled = marginEnabled
self.outputTrades: bool = outputTrades # Boolean that'll determine whether trades are outputted to file or not.
convert_all_dates_to_datetime(data)
self.data = data
self.check_data()
self.interval = self.get_interval()
self.intervalMinutes = get_interval_minutes(self.interval)
self.pastActivity = [
] # We'll add previous data here when hovering through graph in GUI.
if len(strategyInterval.split()) == 1:
strategyInterval = convert_small_interval(strategyInterval)
self.allStrategies = get_strategies_dictionary(
Strategy.__subclasses__())
self.strategyInterval = self.interval if strategyInterval is None else strategyInterval
self.strategyIntervalMinutes = get_interval_minutes(
self.strategyInterval)
self.intervalGapMinutes = self.strategyIntervalMinutes - self.intervalMinutes
self.intervalGapMultiplier = self.strategyIntervalMinutes // self.intervalMinutes
if self.intervalMinutes > self.strategyIntervalMinutes:
raise RuntimeError(
"Your strategy interval can't be smaller than the data interval."
)
self.ema_dict = {}
self.rsi_dictionary = {}
self.setup_strategies(strategies)
self.startDateIndex = self.get_start_index(startDate)
self.endDateIndex = self.get_end_index(endDate)
def __init__(self, parent: QMainWindow, logger: Logger = None):
super(Configuration, self).__init__(parent) # Initializing object
uic.loadUi(configurationUi, self) # Loading the main UI
self.parent = parent
self.threadPool = QThreadPool()
self.logger = logger
self.optimizer_backtest_dict = {
BACKTEST: {
'startDate': self.backtestStartDate,
'endDate': self.backtestEndDate,
'tickers': self.backtestTickerLineEdit,
'intervals': self.backtestIntervalComboBox,
'data': None,
'dataIntervalComboBox': self.backtestIntervalComboBox,
'dataInterval': None,
'dataType': None,
'infoLabel': self.backtestInfoLabel,
'dataLabel': self.backtestDataLabel,
'downloadThread': None,
'downloadLabel': self.backtestDownloadLabel,
'downloadButton': self.backtestDownloadDataButton,
'stopDownloadButton': self.backtestStopDownloadButton,
'importButton': self.backtestImportDataButton,
'downloadProgress': self.backtestDownloadProgressBar
},
OPTIMIZER: {
'startDate': self.optimizerStartDate,
'endDate': self.optimizerEndDate,
'tickers': self.optimizerTickerLineEdit,
'intervals': self.optimizerIntervalComboBox,
'data': None,
'dataIntervalComboBox': self.optimizerIntervalComboBox,
'dataInterval': None,
'dataType': None,
'infoLabel': self.optimizerInfoLabel,
'dataLabel': self.optimizerDataLabel,
'downloadThread': None,
'downloadLabel': self.optimizerDownloadLabel,
'downloadButton': self.optimizerDownloadDataButton,
'stopDownloadButton': self.optimizerStopDownloadButton,
'importButton': self.optimizerImportDataButton,
'downloadProgress': self.optimizerDownloadProgressBar
}
}
self.lossTypes = ("Trailing", "Stop")
self.takeProfitTypes = ('Stop',)
self.lossOptimizerTypes = ('lossPercentage', 'stopLossCounter')
self.takeProfitOptimizerTypes = ('takeProfitPercentage',)
# Telegram
self.tokenPass = False
self.chatPass = False
# Folders and files
self.credentialsFolder = "Credentials"
self.configFolder = 'Configuration'
self.stateFilePath = os.path.join(helpers.ROOT_DIR, 'state.json')
self.categoryTabs = [
self.mainConfigurationTabWidget,
self.simulationConfigurationTabWidget,
self.backtestConfigurationTabWidget,
self.optimizerConfigurationTabWidget
]
self.strategies = get_strategies_dictionary(Strategy.__subclasses__())
self.strategyDict = {} # We will store all the strategy slot information in this dictionary.
self.lossDict = {} # We will store stop loss settings here.
self.takeProfitDict = {} # We will store take profit settings here.
load_slots(self) # Loads stop loss, take profit, and strategies slots.
load_credentials(self) # Load credentials if they exist.