def get_configuration_details_to_setup_backtest(self) -> Dict[str, Any]:
"""
Returns configuration details from GUI in a dictionary to setup backtest.
:return: GUI configuration details in a dictionary.
"""
config = self.gui.configuration
startDate, endDate = get_calendar_dates(config_obj=config)
return {
'startingBalance':
config.backtestStartingBalanceSpinBox.value(),
'data':
config.optimizer_backtest_dict[BACKTEST]['data'],
'startDate':
startDate,
'endDate':
endDate,
'symbol':
config.optimizer_backtest_dict[BACKTEST]['dataType'],
'precision':
config.backtestPrecisionSpinBox.value(),
'outputTrades':
config.backtestOutputTradesCheckBox.isChecked(),
'marginEnabled':
config.backtestMarginTradingCheckBox.isChecked(),
'strategies':
get_strategies(config, BACKTEST),
'strategyInterval':
config.backtestStrategyIntervalCombobox.currentText()
}
def get_config_helper(gui, caller):
algo_dict = get_interface_dictionary(gui, caller)['configuration']
startDate, endDate = get_calendar_dates(config_obj=gui.configuration,
caller=caller)
precision = algo_dict['precision'].currentText()
symbol = gui.configuration.optimizer_backtest_dict[caller]['dataType']
d = {
'startDate': startDate,
'endDate': endDate,
'symbol': symbol,
'startingBalance': algo_dict['startingBalance'].value(),
'data': gui.configuration.optimizer_backtest_dict[caller]['data'],
'precision': parse_precision(precision, symbol),
'marginEnabled': algo_dict['marginEnabled'].isChecked(),
'strategyInterval': algo_dict['strategyInterval'].currentText(),
'logger': gui.logger
}
if caller == OPTIMIZER:
d.update({
'drawdownPercentage': algo_dict['drawdownPercentage'].value(),
'strategies': []
})
if caller == BACKTEST:
d.update({
'outputTrades': algo_dict['outputTrades'].isChecked(),
'strategies': get_strategies(gui.configuration, BACKTEST),
})
return d
def set_parameters(self, caller: int):
"""
Retrieves moving average options and loss settings based on caller.
:param caller: Caller that dictates which parameters get set.
"""
config = self.gui.configuration
lossDict = config.get_loss_settings(caller)
takeProfitDict = config.get_take_profit_settings(caller)
trader: SimulationTrader = self.gui.get_trader(caller)
trader.apply_take_profit_settings(takeProfitDict)
trader.apply_loss_settings(lossDict)
trader.setup_strategies(get_strategies(config, caller))
trader.output_configuration()
def get_config_helper(gui, caller) -> Dict[str, Any]:
"""
Get configuration settings for backtests and optimizers. TODO: Cleanup.
:param gui: GUI object that called this function.
:param caller: Caller object (backtest or optimizer in this case).
:return: Dictionary containing configuration settings.
"""
algo_dict = get_interface_dictionary(gui, caller)['configuration']
start_date, end_date = get_calendar_dates(config_obj=gui.configuration,
caller=caller)
precision = algo_dict['precision'].currentText()
symbol = gui.configuration.optimizer_backtest_dict[caller]['dataType']
d = {
'startDate': start_date,
'endDate': end_date,
'symbol': symbol,
'startingBalance': algo_dict['startingBalance'].value(),
'data': gui.configuration.optimizer_backtest_dict[caller]['data'],
'precision': parse_precision(precision, symbol),
'marginEnabled': algo_dict['marginEnabled'].isChecked(),
'strategyInterval': algo_dict['strategyInterval'].currentText(),
'logger': gui.logger
}
if caller == OPTIMIZER:
d.update({
'drawdownPercentage': algo_dict['drawdownPercentage'].value(),
'strategies': []
})
if caller == BACKTEST:
d.update({
'outputTrades': algo_dict['outputTrades'].isChecked(),
'strategies': get_strategies(gui.configuration, BACKTEST),
})
return d