pep8 conversion of python algos (#7942)
* pep8 conversion of python algos * adding 10 more pep8 converted algos
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@@ -14,49 +14,49 @@
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from AlgorithmImports import *
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### <summary>
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### Regression algorithm used to test a fine and coarse selection methods returning Universe.Unchanged
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### Regression algorithm used to test a fine and coarse selection methods returning Universe.UNCHANGED
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### </summary>
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class UniverseUnchangedRegressionAlgorithm(QCAlgorithm):
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def Initialize(self):
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self.UniverseSettings.Resolution = Resolution.Daily
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def initialize(self):
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self.universe_settings.resolution = Resolution.DAILY
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# Order margin value has to have a minimum of 0.5% of Portfolio value, allows filtering out small trades and reduce fees.
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# Commented so regression algorithm is more sensitive
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#self.Settings.MinimumOrderMarginPortfolioPercentage = 0.005
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self.SetStartDate(2014,3,25)
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self.SetEndDate(2014,4,7)
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#self.settings.minimum_order_margin_portfolio_percentage = 0.005
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self.set_start_date(2014,3,25)
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self.set_end_date(2014,4,7)
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self.SetAlpha(ConstantAlphaModel(InsightType.Price, InsightDirection.Up, timedelta(days = 1), 0.025, None))
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self.SetPortfolioConstruction(EqualWeightingPortfolioConstructionModel())
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self.set_alpha(ConstantAlphaModel(InsightType.PRICE, InsightDirection.UP, timedelta(days = 1), 0.025, None))
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self.set_portfolio_construction(EqualWeightingPortfolioConstructionModel())
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self.AddUniverse(self.CoarseSelectionFunction, self.FineSelectionFunction)
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self.add_universe(self.coarse_selection_function, self.fine_selection_function)
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self.numberOfSymbolsFine = 2
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self.number_of_symbols_fine = 2
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def CoarseSelectionFunction(self, coarse):
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def coarse_selection_function(self, coarse):
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# the first and second selection
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if self.Time.date() <= date(2014, 3, 26):
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if self.time.date() <= date(2014, 3, 26):
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tickers = [ "AAPL", "AIG", "IBM" ]
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return [ Symbol.Create(x, SecurityType.Equity, Market.USA) for x in tickers ]
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return [ Symbol.create(x, SecurityType.EQUITY, Market.USA) for x in tickers ]
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# will skip fine selection
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return Universe.Unchanged
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return Universe.UNCHANGED
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def FineSelectionFunction(self, fine):
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if self.Time.date() == date(2014, 3, 25):
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sortedByPeRatio = sorted(fine, key=lambda x: x.ValuationRatios.PERatio, reverse=True)
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return [ x.Symbol for x in sortedByPeRatio[:self.numberOfSymbolsFine] ]
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def fine_selection_function(self, fine):
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if self.time.date() == date(2014, 3, 25):
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sorted_by_pe_ratio = sorted(fine, key=lambda x: x.valuation_ratios.pe_ratio, reverse=True)
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return [ x.symbol for x in sorted_by_pe_ratio[:self.number_of_symbols_fine] ]
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# the second selection will return unchanged, in the following fine selection will be skipped
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return Universe.Unchanged
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return Universe.UNCHANGED
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# assert security changes, throw if called more than once
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def OnSecuritiesChanged(self, changes):
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addedSymbols = [ x.Symbol for x in changes.AddedSecurities ]
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if (len(changes.AddedSecurities) != 2
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or self.Time.date() != date(2014, 3, 25)
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or Symbol.Create("AAPL", SecurityType.Equity, Market.USA) not in addedSymbols
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or Symbol.Create("IBM", SecurityType.Equity, Market.USA) not in addedSymbols):
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def on_securities_changed(self, changes):
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added_symbols = [ x.symbol for x in changes.added_securities ]
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if (len(changes.added_securities) != 2
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or self.time.date() != date(2014, 3, 25)
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or Symbol.create("AAPL", SecurityType.EQUITY, Market.USA) not in added_symbols
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or Symbol.create("IBM", SecurityType.EQUITY, Market.USA) not in added_symbols):
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raise ValueError("Unexpected security changes")
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self.Log(f"OnSecuritiesChanged({self.Time}):: {changes}")
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self.log(f"OnSecuritiesChanged({self.time}):: {changes}")
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