* feat: new `TradingDaysPerYear` prop in IAlgorithmSettings
* feat: getTradingDayPerYear by BrokerageModel
feat: init algo tradingDaysPerYear in brokerage|BacktestingSetupHandler
refactor: nullable `TradingDayPerYear`
* remove: hardcoded value:252 in statistics
* test: `algorithm.Settings.TradingDaysPerYear` for different brokerage
fix: tests calculation of `AnnualPerformance()`
* fix: Report generator by tradingDayPerYear
* fix: hardcoded value in PortfolioStatisticsTests
* fix: tradingDayPerYear in AnnualPerformanceTest
remove: extra spacing
* feat: backwards compatibility for TradingDaysPerYear
* feat: several UTest for AlgoSetting's TradingDaysPerYear prop
* fix: existed algo + test
* feat: regression algo with checking of tradingDayPerYear in OnEndOfAlgorithm()
* refactor: GetBrokerageTradingDayPerYear -> SetBrokerage... in BaseSetupHandler
refactor: carry out tradingDayPerYear at the top level and pass variable
* remove: default valuine in test param
remove: extra comment.
* fix: missed init TradingDaysPerYear in report.portfolioAlgo
fix: hardcoded value to tradingDaysPerYear
* fix: nullable TradingDaysPerYear in AlgorithmConfiguration
feat: UTest for PortfolioLooperAlgo
feat: add advanced description
* feat: test PortfolioStatistics with different tradingDaysPerYear
* revert: PortfolioLooper with TradingDaysPerYear implementation
* revert: nullable TradingDaysPerYear in AlgoConfiguration
remove: SetBrokerageTradingDayPerYear in BaseResultHandler
* style: remove empty row
* Implement risk free interest rate as an algorithm model
* Use risk free insterest rate model in Sharpe Ratio indicator
* Address peer review
Also added python wrapper
* Take pyobject as interest rate model in Sharpe Ratio indicator
* Minor fix
* Minor fix
* Address peer review
* Fix bug in Beta statistics
- Beta in Report was calculated using equity points and not daily
performance points, as it's done in Backtest
- Performance points were not being divided by 100, as it's done in
StatisticsBuilder
- Benchmark points were not being converted into a percentage daily
performance of the benchmark, as it's done in StatisticsBuilder
* Improve implementation and add unit tests
* Enhance implementation and add more unit tests
* Enhance implementation
* Nit change
* Nit changes
* To maintain consistency between calculations, we will use
the end of day equity value to calculate the returns per day.
This fixes a bug where daily equity series would zero out and result
in an exception being thrown since no elements were being passed to
the Sharpe calculation.
* Calculate PSR for live algorithms in report generator
* Use live series for calculating of CAGR, Max DD, and PSR
* Removes Kelly Estimate from report and template.html
* Update template.html
* Rolling Beta bug fix when using daily data
* Max drawdown output as percent
* Make days live report element use equity curve last day instead of today
Co-authored-by: Jared <jaredbroad@gmail.com>
* Deletes NullAlphaHandler, NullLeanManager, NullSynchronizer
* Calculate the backtest and live PointInTimePortfolios only once now
* Refactor Metrics calculations
* Add missing license headers to some files
* Reverts accessibility of AddToUserDefinedAlgorithm to private
* Other misc. fixes and cleanup
* Can handle null Result packets
* Created utility files
* Added various helper methods to PortfolioLooper
* Fixes build issue by removing System.Collections.Immutable
* Updates plots to show "Insufficient data" when it can't be created
* Hides empty crisis page
* Fixes wkhtmltopdf display bug
* Removes Calculations.cs
* Modifies accessibility of AddToUserDefinedUniverse in QCAlgorithm
* Add null value handling in OrderJsonConverter
* Various bug fixes
* Fixes broken ReportChartTests.py
* Adds leverage to PointInTimePortfolio
Roman Yavnikov