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* Add SeedInitialPrices algorithm setting
This is true by default and indicates that the engine will seed initial prices right after the security is added or selected
* Update regression algorithms
* Update regression algorithms
* Update regression algorithms
* Refactor default securities seeding
* Minor fix
* Minro fixes
* Cleanup
* Updated and add regression algorithms
* Address peer review
* Centralize logic to get last known data for multiple securities
* Some cleanup
* Minor build fix
* Minor fixes
* More logic centralization
* Some more cleanup
* Cleanup
* Update regression algorithms and minor fixes
* Update regression algorithms
* Minor fix
* More minor fixes
* Update regression algorithms
* Cleanup
* Minor test fix
* Address peer review
* Minor fix and performance improvement
* Fix to seed open interest data
* Minor test fixes
* Address peer review
* Minor change
* Minor revert
* Minor fixes and improvements
* Disable initial seeding by default
* Minor fixes
* Cleanup
* Cleanup
* Minor fix
* Refactor user define universe handling
- Normalize user define universe additions and removals to behave like
other subscriptions without requiting special handling
* Minor fixes
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* Implement a prototype of the maximum recovery time function.
* Add unit test skeletons.
* Add failing test
* Issue #4581: Implement MaxDrawdownRecoveryTime.
* Issue 4581: Add DTO for Drawdown Percentage, Drawdown Enddate, and High Value
* Issue 4581: Fix bgu for when lDrawdowns list is empty.
* Issue 4581: Change names of tests. Change name of file.
* Issue 4581: Make adjustements to flow of adding drawdowns to lDrawdowns.
* Issue 4581: Add multiple unit tests.
* Issue #4581: Change name of unit test
* Issue #4581: Add to PerformanceMetrics
* Issue #4581: Add Maximum Drawdown Recovery to PortolioStatistics class.
* Issue #4581: Add to portolfio statistics class.
* Issue #4581: Add to statistics builder.
* Issue #4581: Add report key.
* Case #4581: Convert to decimal.
* Issue #4581: Correct comment.
* Issue #4581: Correct performance metrics view model string.
* Case #4581: Correct statistics builder view model string..again.
* Issue #4581: Placed DradownDradownDateHighValueDTO at the end of the file for simpler diff.
* Issue #4581: Add 2 new tests.
* Issue #4581: Change algorithm so that when multiple maximum drawdowns occur, the longest of all recoveries is reported.
* Issue #4581: Add unit test.
* Issue #4581: Remove reportkey. Change dto name.
* Issue #4581: Change summary.
* Issue #4581: Change comment.
* Add max drawdown recovery calculation with unit tests
* Update regression algorithms with the new metric
* Solve review comments
* Update regression algorithms
* Add TryGet to safely get the key: MaximumDrawdownRecovery
* Ignore MaximumDrawdownRecovery metric in OptimizationBacktest Json
* Revert changes in Messaging
* Update regression algorithms
* Add test case: TakesLongestRecoveryAmongMultipleDrawdowns
* Use integer days for MaximumDrawdownRecovery
* Add MaximumDrawdownRecoveryReportElement
* Use more explicit names
* Rename files and variables for consistency
* Update regression algorithms
---------
Co-authored-by: Alain Schaerer <aschaerer@pcatg.com>
* Fix CA1819 and CA1002 warnings
Changed the type of Languages statistic in regression tests from
Language[] to List<Language>. By doing that, the warning CA1819 was
removed but then the warning CA1002 was raised. However, this warning
was expected to be excluded from QuantConnect.Algorithm.CSharp.
* Improve implementation
* Simplify code
* Fix bugs
* First draft of the solution
* Add missing changes
* Remove the new KPI's from report
* Fix bugs
* nit change
* Add improvements
* Fix regression tests
* Solve bugs in the regression algos
* Fix regression tests bugs
* Expand unit tests and add minor changes
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* Add Sortino ratio to statistics and report
* Adds Sortino Ratio to Report Key Statistics
* Addresses Peer-Review
Reuse `SharpeRatioReportElement` and change the template.
* Reuse Calculations Across Statistics and PortfolioStatistics
* Adds Sortino Ratio to Regression Algorithms
* Removes Sortino Ratio from Optimization Result Table
---------
Co-authored-by: Alexandre Catarino <AlexCatarino@users.noreply.github.com>
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* Refactor alpha statistics
- Refactor alpha statistics, cleaning up and simplifying no longer required calculations and scoring
- Adding new InsightEvaluator abstraction, adding C# & PY regression
algorithms
* Optimization backtest result json converter update
* Address reviews
- Remove IAlphaHandler, move insight storage responsability to IResultHandler
and centralizing insight collection on the QCAlgorithm.Insights to be
reused by the framework models
- Fix portfolio turnover single day backtests and duplicate time
sampling handling. Updating regression algorithms
* Add InsightCollection tests and minor fixes
* Adding more & improved tests
* add data count properties
* 'add history count property
* assert data counts
* update missing override
* consider override/virtual cases
* implement data count
* add message handler for regression tests
* use regression test message handler
* set algorithm manager for regression test message handler
* update data count
* check if stats are present, check if algo manager is not null
* update
* add c# algo
* make same as c# algo
* use new line
* logic shifted to RegressionTestMessageHandler
* cleanup
* auto cleanup
* skip non deterministic data count
* change data count
* use inheritance
* improve stats
* update couht
* add sma indicator to c# and customSMA to python
* call base method before executing further
* skip test
* revert to original
* add duplicate sma
* skip regression test
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* Implement scheduled event sampling solution
* Use UTC time, only update daily portfolio value once a day
* For daily resolutions sample chart always
* Cleanup
* Drop resample daily all together
* Force final sample
* Regression updates
* FIx LiveResultHandler to update portfolio and benchmark values outside of sampling event
* Name the daily sampling event
* Address review pt 1
* Drop force and use reference wrapper
* Adjust tests
* Fix warning for Benchmark Timezone Misalignment and also add test
* Fix for daily resolution orders and test adjustments
* Also warn on universe settings with daily resolution
* Update missed regression
* Fix reference wrapper use
* Update regression after rebase
* Add values back in for Daylight Algo
* Have statistics builder skip day 1 performance
* Regression adjustments
* Test adjustments
* Update regression unit test
* Adjust some regressions starts to show performance values
* Add hourly algorithm for beta comparison
* Address missing Python regression changes
* Remove null comment
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* Add property for capacity. Remove unused variable
* Move SymbolCapacity and CapacityEstimate to common, passed through Symbol to runtime statistics
* Add null checks
* Remove uninvested and untradable assets from capacty calculations
* Add SymbolCapacity influential period
* Updates Regression Tests
- DelistingEventsAlgorithm
- Allows additional contributions from delisted AAA.1
- DelistingFutureOptionRegressionAlgorithm
- Removes DC01H12 contributions one month later
- FutureOptionBuySellCallIntradayRegressionAlgorithm
- Allows additional contributions from future after expiry replacing the contribution of the next contract option
- DelistedFutureLiquidateRegressionAlgorithm
- FutureOptionCallITMExpiryRegressionAlgorithm
- FutureOptionCallITMGreeksExpiryRegressionAlgorithm
- FutureOptionPutITMExpiryRegressionAlgorithm
- FutureOptionShortCallITMExpiryRegressionAlgorithm
- FutureOptionShortPutITMExpiryRegressionAlgorithm
- FuturesAndFuturesOptionsExpiryTimeAndLiquidationRegressionAlgorithm
- Allows additional contributions from future after expiry
- FutureOptionCallOTMExpiryRegressionAlgorithm
- FutureOptionPutOTMExpiryRegressionAlgorithm
- FutureOptionShortPutOTMExpiryRegressionAlgorithm
- IndexOptionCallITMGreeksExpiryRegressionAlgorithm
- IndexOptionCallOTMExpiryRegressionAlgorithm
- IndexOptionShortCallOTMExpiryRegressionAlgorithm
- Allows additional contributions from option after expiry
- MACDTrendAlgorithm
- Removes contribution when SPY is not invested for over one month
- UniverseSelectionRegressionAlgorithm
- Allows additional contributions from delisted GOOAV replacing GOOG (new symbols)
* Adds Lowest Capacity Asset to Regression Tests
* Normalize expected value -0, because -0 is also written to file if updated
* Write Symbol.Value for lowestCapacitySymbol or empty string for empty Symbol
* Update Regressions
* Update 'Lowest Capacity Asset' to Symbol.ID
Co-authored-by: Jared Broad <jaredbroad@gmail.com>
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
Co-authored-by: Colton Sellers <Colton.R.Sellers@gmail.com>
* Fixes Double to Decimal Cast in GetAnnualPerformance
`GetAnnualPerformance` raises an exception if the `AnnualPerformance` calculation returns a double that cannot be cast to decimal (smaller than `decimal.MinValue` or bigger than `decimal.MaxValue`).
See `ProbabilisticSharpeRatio` where the same solution was applied.
* Updates SPY Market Data
SPY is a key asset since it is the default benchmark, and any change can lead to different `Alpha` and `Beta`
* Updates Unit Tests to Reflect Data Update
* Updates Regression Tests to Reflect Data Update I
Most of the regression tests change because of updated data (market and factors) of SPY (default benchmark) while the total trade remain the same.
* Updates Regression Tests to Reflect Data Update II
The following regression tests were changed to adapt to adjusted prices and keep the total trades:
- `BacktestingBrokerageRegressionAlgorithm`
- `LimitIfTouchedRegressionAlgorithm`
- `PortfolioRebalanceOnCustomFuncRegressionAlgorithm`
- `SetAccountCurrencySecurityMarginModelRegressionAlgorithm`
- `StopLossOnOrderEventRegressionAlgorithm`
- `TimeInForceAlgorithm`
The following regression tests have more trades since adjusted prices allowed more 1-2 shares trades that were rounded down to zero before:
- `FreePortfolioValueRegressionAlgorithm` 2 -> 3
- `PortfolioRebalanceOnDateRulesRegressionAlgorithm` 291 -> 298
- `TrailingStopRiskFrameworkAlgorithm` 5 -> 7
Especial cases:
- `AutoRegressiveIntegratedMovingAverageRegressionAlgorithm` 65 -> 52
- ARIMA model sensibility
- `BlackLittermanPortfolioOptimizationFrameworkAlgorithm` 18 -> 19
- BLM model sensibility
- `ExtendedMarketHoursHistoryRegressionAlgorithm` 20 -> 18
- Less minute bars before market opens
* Addresses Peer-Review
Fix `BacktestingBrokerageRegressionAlgorithm` to use `CalculateOrderQuantity` and round down `quantity` to an even number to pass a value assertion and update the expected value from 50 to 52.
The quantity calculated by `CalculateOrderQuantity` has changed from 50 to 53 because of factor file update.
* Adds CapacityEstimate and SymbolCapacity
The capacity estimation has been moved from
the report generator and wired directly into
Lean via the ResultHandler. In addition,
the capacity estimation strategy has changed
to account for errors in the previous iteration
of the capacity estimation.
Many many thanks to Jared for being much of the
mastermind behind this project. It would have
been harder to complete without him to bounce ideas
off of.
* Moves old tests to regression algorithms
* Adds Estimated Capacity statistic
* Removes old capacity estimation tests
Final report capacity estimation. Pushing to save state
* Fixes bugs, cleans up code and adds comments
* Adds forced sampling to Capacity Estimation
* Misc. bug fixes for daily data
* Updates capacity test cases' Estimated Strategy Capacity statistic
* Adds Capacity Estimate to all regression algorithms
* Removes Report's StrategyCapacity class and fixes bug in tests
* Adds null check in BacktestingResultHandler to fix
BacktestingTransactionHandler failing tests
* Deletes old capacity estimation classes
* Retrieve capacity estimates from backtest statistics results
instead of calculating at runtime
* Make $0.00 capacity return as "-" and Result = 0 in report
* Adds capacity to runtime statistics
* Converts capacity to number denoted by financial figures in RuntimeStats
* Addresses review: code cleanup for Capacity and adds comments to regression tests
* Update OrderListHash to use MD5 as hash instead of hash code
* Update regression algorithm OrderListHash statistic
* Use full MD5 hash as OrderListHash, update regression statistic
* Fixes failing regression tests
* Bump time by one tick in adding subscription
* Adjust regressions
* Change removal to immediate
* Use series.AddPoint instead of directly adding it
* Adjust regression
* Add checks for fixed behavior in regressions
* Address review
* Oanda default forex Market
- Use Oanda as default forex Market since it has more pairs.
- Remove FXCM data add Oanda equivalente data.
- Update unit and regression tests
* Address reviews
- Revert FXCM data removal
- Remove unrequired commented code
* Fix rebase
- `UserDefinedUniverse` will no longer be removed as a data subscription.
- When `algorithm.AddData()` is called a universe selection data point
will be added to the `UserDefinedUniverse` subscription to trigger
selection and add the requested data.
- `DataManager` will make sure an active subscriptions
`SubscriptionDataConfig` will be present in the configuration collection
- Adding unit and regression tests
- `SubscriptionFrontierTimeProvider` will advance new subscriptions to find the current emit time of the enumerator. This will make enumeration more deterministic, since we will not skip any time step of the new enumerators.
- Adding a just in case flag to the backtesting `Synchronizer` to retry creating a new time slice when the time has not advanced but there is data in the slice, this could happen with subscriptions added after initialize using algorithm.AddSecurity() API, where the subscription start time is the current time loop (but should just happen once)
- `UniverseSelection` class will now keep track and remove internal
currency subscriptions through the usage of new class
`CurrencySubscriptionDataConfigManager`
- Modifying existing regression tests to assert bug 2773.
- Adding new regression test that fixes the case where a new cash is set
after initialization. This could happen during cash sync performed by
the `BrokerageTransactionHandler`.
- Adding new `CashAdded` event for the `CashBook` to solve the
issue.
This flag indicates whether or not the local regression test system,
via RegressionTests.AlgorithmStatisticsRegression should run a given
IRegressionAlgorithmDefinition
It's important that we keep the factor files consistent with respect to
the date that they were generated. This enables us to run the regression
algorithms in the cloud and get the same results by using the factor files
from the correct date.
A mechanical refactoring was performed to make algorithms currently used in
regression algorithms to implement IRegressionAlgorithmDefinition, which allows
algorithms to define their own expected statistics and what languages should be
run as part of regression. The type name of the C# type is used to determine the
file/model name for python. This was for simplicity, but if needed, could later be
refactored to expose more information, but for now the convention of keeping names
the same makes sense and just works easily.
Jhonathan Abreu