* pep8 conversion * Fix: detect python object of python classes derived from c# classes * Minor PEP8 updates/fixes --------- Co-authored-by: Jhonathan Abreu <jdabreu25@gmail.com>
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@@ -25,70 +25,70 @@ from AlgorithmImports import *
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### <meta name="tag" content="map files" />
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class CustomDataUsingMapFileRegressionAlgorithm(QCAlgorithm):
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def Initialize(self):
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def initialize(self):
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# Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.
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self.SetStartDate(2013, 6, 27)
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self.SetEndDate(2013, 7, 2)
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self.set_start_date(2013, 6, 27)
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self.set_end_date(2013, 7, 2)
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self.initialMapping = False
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self.executionMapping = False
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self.foxa = Symbol.Create("FOXA", SecurityType.Equity, Market.USA)
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self.symbol = self.AddData(CustomDataUsingMapping, self.foxa).Symbol
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self.initial_mapping = False
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self.execution_mapping = False
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self.foxa = Symbol.create("FOXA", SecurityType.EQUITY, Market.USA)
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self._symbol = self.add_data(CustomDataUsingMapping, self.foxa).symbol
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for config in self.SubscriptionManager.SubscriptionDataConfigService.GetSubscriptionDataConfigs(self.symbol):
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if config.Resolution != Resolution.Minute:
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for config in self.subscription_manager.subscription_data_config_service.get_subscription_data_configs(self._symbol):
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if config.resolution != Resolution.MINUTE:
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raise ValueError("Expected resolution to be set to Minute")
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def OnData(self, slice):
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date = self.Time.date()
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if slice.SymbolChangedEvents.ContainsKey(self.symbol):
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mappingEvent = slice.SymbolChangedEvents[self.symbol]
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self.Log("{0} - Ticker changed from: {1} to {2}".format(str(self.Time), mappingEvent.OldSymbol, mappingEvent.NewSymbol))
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def on_data(self, slice):
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date = self.time.date()
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if slice.symbol_changed_events.contains_key(self._symbol):
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mapping_event = slice.symbol_changed_events[self._symbol]
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self.log("{0} - Ticker changed from: {1} to {2}".format(str(self.time), mapping_event.old_symbol, mapping_event.new_symbol))
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if date == datetime(2013, 6, 27).date():
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# we should Not receive the initial mapping event
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if mappingEvent.NewSymbol != "NWSA" or mappingEvent.OldSymbol != "FOXA":
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raise Exception("Unexpected mapping event mappingEvent")
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self.initialMapping = True
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if mapping_event.new_symbol != "NWSA" or mapping_event.old_symbol != "FOXA":
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raise Exception("Unexpected mapping event mapping_event")
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self.initial_mapping = True
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if date == datetime(2013, 6, 29).date():
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if mappingEvent.NewSymbol != "FOXA" or mappingEvent.OldSymbol != "NWSA":
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raise Exception("Unexpected mapping event mappingEvent")
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self.SetHoldings(self.symbol, 1)
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self.executionMapping = True
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if mapping_event.new_symbol != "FOXA" or mapping_event.old_symbol != "NWSA":
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raise Exception("Unexpected mapping event mapping_event")
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self.set_holdings(self._symbol, 1)
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self.execution_mapping = True
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def OnEndOfAlgorithm(self):
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if self.initialMapping:
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def on_end_of_algorithm(self):
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if self.initial_mapping:
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raise Exception("The ticker generated the initial rename event")
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if not self.executionMapping:
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if not self.execution_mapping:
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raise Exception("The ticker did not rename throughout the course of its life even though it should have")
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class CustomDataUsingMapping(PythonData):
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'''Test example custom data showing how to enable the use of mapping.
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Implemented as a wrapper of existing NWSA->FOXA equity'''
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def GetSource(self, config, date, isLiveMode):
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return TradeBar().GetSource(SubscriptionDataConfig(config, CustomDataUsingMapping,
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def get_source(self, config, date, is_live_mode):
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return TradeBar().get_source(SubscriptionDataConfig(config, CustomDataUsingMapping,
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# create a new symbol as equity so we find the existing data files
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Symbol.Create(config.MappedSymbol, SecurityType.Equity, config.Market)),
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Symbol.create(config.mapped_symbol, SecurityType.EQUITY, config.market)),
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date,
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isLiveMode)
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is_live_mode)
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def Reader(self, config, line, date, isLiveMode):
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return TradeBar.ParseEquity(config, line, date)
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def reader(self, config, line, date, is_live_mode):
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return TradeBar.parse_equity(config, line, date)
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def RequiresMapping(self):
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def requires_mapping(self):
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'''True indicates mapping should be done'''
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return True
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def IsSparseData(self):
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def is_sparse_data(self):
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'''Indicates that the data set is expected to be sparse'''
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return True
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def DefaultResolution(self):
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def default_resolution(self):
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'''Gets the default resolution for this data and security type'''
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return Resolution.Minute
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return Resolution.MINUTE
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def SupportedResolutions(self):
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def supported_resolutions(self):
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'''Gets the supported resolution for this data and security type'''
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return [ Resolution.Minute ]
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return [ Resolution.MINUTE ]
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