pep8 conversion of python algos (#7942)

* pep8 conversion of python algos

* adding 10 more pep8 converted algos
This commit is contained in:
Ashutosh
2024-04-18 23:44:56 +05:30
committed by GitHub
parent ed351c8726
commit 1cae47ab25
15 changed files with 363 additions and 360 deletions
@@ -14,49 +14,49 @@
from AlgorithmImports import *
### <summary>
### Regression algorithm used to test a fine and coarse selection methods returning Universe.Unchanged
### Regression algorithm used to test a fine and coarse selection methods returning Universe.UNCHANGED
### </summary>
class UniverseUnchangedRegressionAlgorithm(QCAlgorithm):
def Initialize(self):
self.UniverseSettings.Resolution = Resolution.Daily
def initialize(self):
self.universe_settings.resolution = Resolution.DAILY
# Order margin value has to have a minimum of 0.5% of Portfolio value, allows filtering out small trades and reduce fees.
# Commented so regression algorithm is more sensitive
#self.Settings.MinimumOrderMarginPortfolioPercentage = 0.005
self.SetStartDate(2014,3,25)
self.SetEndDate(2014,4,7)
#self.settings.minimum_order_margin_portfolio_percentage = 0.005
self.set_start_date(2014,3,25)
self.set_end_date(2014,4,7)
self.SetAlpha(ConstantAlphaModel(InsightType.Price, InsightDirection.Up, timedelta(days = 1), 0.025, None))
self.SetPortfolioConstruction(EqualWeightingPortfolioConstructionModel())
self.set_alpha(ConstantAlphaModel(InsightType.PRICE, InsightDirection.UP, timedelta(days = 1), 0.025, None))
self.set_portfolio_construction(EqualWeightingPortfolioConstructionModel())
self.AddUniverse(self.CoarseSelectionFunction, self.FineSelectionFunction)
self.add_universe(self.coarse_selection_function, self.fine_selection_function)
self.numberOfSymbolsFine = 2
self.number_of_symbols_fine = 2
def CoarseSelectionFunction(self, coarse):
def coarse_selection_function(self, coarse):
# the first and second selection
if self.Time.date() <= date(2014, 3, 26):
if self.time.date() <= date(2014, 3, 26):
tickers = [ "AAPL", "AIG", "IBM" ]
return [ Symbol.Create(x, SecurityType.Equity, Market.USA) for x in tickers ]
return [ Symbol.create(x, SecurityType.EQUITY, Market.USA) for x in tickers ]
# will skip fine selection
return Universe.Unchanged
return Universe.UNCHANGED
def FineSelectionFunction(self, fine):
if self.Time.date() == date(2014, 3, 25):
sortedByPeRatio = sorted(fine, key=lambda x: x.ValuationRatios.PERatio, reverse=True)
return [ x.Symbol for x in sortedByPeRatio[:self.numberOfSymbolsFine] ]
def fine_selection_function(self, fine):
if self.time.date() == date(2014, 3, 25):
sorted_by_pe_ratio = sorted(fine, key=lambda x: x.valuation_ratios.pe_ratio, reverse=True)
return [ x.symbol for x in sorted_by_pe_ratio[:self.number_of_symbols_fine] ]
# the second selection will return unchanged, in the following fine selection will be skipped
return Universe.Unchanged
return Universe.UNCHANGED
# assert security changes, throw if called more than once
def OnSecuritiesChanged(self, changes):
addedSymbols = [ x.Symbol for x in changes.AddedSecurities ]
if (len(changes.AddedSecurities) != 2
or self.Time.date() != date(2014, 3, 25)
or Symbol.Create("AAPL", SecurityType.Equity, Market.USA) not in addedSymbols
or Symbol.Create("IBM", SecurityType.Equity, Market.USA) not in addedSymbols):
def on_securities_changed(self, changes):
added_symbols = [ x.symbol for x in changes.added_securities ]
if (len(changes.added_securities) != 2
or self.time.date() != date(2014, 3, 25)
or Symbol.create("AAPL", SecurityType.EQUITY, Market.USA) not in added_symbols
or Symbol.create("IBM", SecurityType.EQUITY, Market.USA) not in added_symbols):
raise ValueError("Unexpected security changes")
self.Log(f"OnSecuritiesChanged({self.Time}):: {changes}")
self.log(f"OnSecuritiesChanged({self.time}):: {changes}")