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* Improve python exception message for cases when derived class uses member names already defined in base C# classes
* Update pythonnet version to 2.0.33
* Update error message
* Pythonnet version bump to 2.0.34. Minor unit test fix
* Enhance pythonnet overload tests
---------
Co-authored-by: Jared <jaredbroad@gmail.com>
Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
* feat: support snake-case style Python QCAlgorithm implementations
* feat: add unit tests and minor fixes
* feat: implement new BasePythonWrapper class for python wrappers.
Used to cache methods and contains invoke functionality
* feat: make python wrappers implement the new base class for pep8 style support
* feat: keep overriden methods in Algorithm Python Wrapper
* feat: add unit tests for custom models algorithms with PEP8 style
* Bump pythonnet version to 2.0.30
* fix bugs and address peer review
* Address peer review
* Minor revert
* feat: StubsIgnoreAttribute for ignoring members or classes by the stubs generator
* Minor fixes
* Minor fix
* Minor fix
* Bump pythonnet version to 2.0.31
* Added Greeks.Lambda_ alias of Lambda for python compatibility.
Remove unused method
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* Refactor universe historical data source
- Add new universe history API methods
- Refactor QuantBook UniverseHistory to use the universe selection
itself instead of a given func
- Refactor and rename fundamental types
- Refactor AddUniverse API to handle universe collection data which
holds another type internally, like fundamental
* Fix minor bug causing ApiDataProvider not to serve Bitfinex universe data
* Further improvements to add universe API
* Handle no selection function
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* Portfolio state chart
- Cleanup and renames
- Add series.IndexName. Uodating unit tests
- Add Chart.LegendDisabled. Adding new unit tests
- Add ChartPoint.Tooltip. Updating unit tests
- Minor compression tweak. Adding unit test
- Add ChartJsonConverter. Adding unit tests
* Minor chart serialization order tweak
* Refactor portfolio state sampling and storing
* Move PortfolioMargin into a lean side chart
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* feat: ETFConstituentsModel overloading constructor
* test
* feat: new constructor of ETFConstituentsUniverse
test: support all constructor on c#
* feat: cached symbol in ETFConstituentsUniverse.py
test: validate getting symbol from cahed collection
* remove: extra ctor in ETFConstituentsUniverseSelectionModel
* refactor: add miss condition secType in py
refactor: rename out existTicker -> Symbol
refacotr: rewrite test
* feat: new ETFConstituentsFrameworkAlgos
* refactor: more neat ETFConstituentsAlgos
* fix: CompositeUniverse to SetUniverse
* Async universe selection
- Add support for async universe selection, which will happen ahead of
time in the data stack for a performance improvement
* Thrown if using Coarse+Fine Asynchronous Universe selectioon
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* New Fundamental Data
* Minor CIK lookup fix
* Handle live mode & delete unexisting properties
* Minor coarse fundamental adjustment
* Add fundamental history support
* Fix unit tests
* Performance improvements
* Fixes
* Minor regression algorithm fix
* Improvements. Add FundamentalUniverseSelectionModel
* Change default values
* Fix unit test
* Minor tweaks
* Fix unit test
* Minor error handling improvement
* Fix rebase
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* Add ClrBubbleExceptionInterpreter
* Add ClrBubbledExceptionInterpreter tests
* Bump pythonnet version to 2.0.23
* Minor changes
* Minor change
* Minor fix
* Fix failing unit tests
* Add security dynamic properties unit and regression tests.
These assert that dynamic properties that are instances of python classes that inherit c# classes keep their python object references.
* Minor change
* Bump pythonnet version to 2.0.21
* Fix security dynamic properties cast from PyObject
* Minor change
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* Dynamic security properties for quick objects storage
* Documentation and other minor changes
* Add Security indexer to access custom properties
* Address peer review
* Minor changes
* Improve regression algorithms
* Bumped pythonnet to version 2.0.19
* Bumped pythonnet to version 2.0.20
* Address peer review
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* Fix bug and add unit tests
- Modify `InsightWeightingPortfolioConstructionModel.cs/py` to take the
absolute value in its `GetValue()` method
- Modifiy `InsightsReturnsTargetsConsistentWithDirection()` unit test to
consider also the case where the direction is Down and the weight is
negative
* Nit changes
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* Implement Trailing FreePortfolioValue
- Implement Trailing FreePortfolioValue by default, users will be able
to set it to a fixed number if desired. Adding regression algorithm
- Setting the default 'MinimumOrderMarginPortfolioPercentage' from 0 to
0.1% of the TPV to avoud tiny trades by default
* Update existing regression algorithms
* Address reviews
- Send warning message to the user if a trade does not happen due to the
default setting of the minimum order margin percentage value
* Address reivews
* Rename TotalPortfolioValueLessFreeBuffer
* Update new regression algorithm
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* Solve bug and add regression test
The bug was raised because, when trying to use C#
MeanVarianceOptimizationPortfolioConstructionModel from a Python
algorithm, there wasn't a constructor that accepted a portfolio optimizer
as a PyObject. Additionally, there wasn't also a Python Wrapper to wrapp
that portfolio optimizer.
- Add PortfolioOptimizerPythonWrapper.cs
- Add constructor in
MeanVarianceOptimizationPortfolioConstructionModel.cs that accepts
portfolio optimizer as a PyObject
- Add regression algorithms to cover the changes
* Improve constructor overload implementation
* Change implementation to follow API pattern
* Enhance implementation and add unit tests
* Enhance implementation and add more unit tests
* Enhance implementation
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* Implement ShortableProviderPythonWrapper.cs
- Modify AllShortableSymbolsCoarseSelectionRegressionAlgorithm.cs and ShortableProviderOrdersRejectedRegressionAlgorithm.cs to use ShortableProvider from Security and not from the Brokerage model
- Add SetShortableProvider() overload method in Security.cs to set a custom shortable provider from Python
- Remove AllShortableSymbols() method from LocalDiskShortableProvider.cs
- Remove DefaultShortableProvider class
- Add regresion algorithms in C# to cover the changes done
* Revert "Merge process"
This reverts commit 775a4b8ec18e0f1562b72c27203ec0df84c8f675, reversing
changes made to bcc3e790f66fe744ea6f4cb2083c3e9d1881ea2f.
* Revert "Revert "Merge process""
This reverts commit aa18fb40eec2aa551ab7a81310ba4515270d6c1a.
* Solve bug
- Add new constructor overload in OpenInterestFutureUniverseSelectionModel.cs that accepts future chain symbol selector as PyObject
- Add a private static method in OpenInterestFutureUniverseSelectionModel that converts Python lambda function to Func<DateTime, IEnumerable<Symbol>>
- Add a regression algorithm in Python to cover changes. In these case, add Python version of OpenInterestFuturesRegressionAlgorithm.cs
* Nit changes
* Nit change
* Minor docs tweak
---------
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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* Update regression test to check number of insights
* Update model to have insight manager ref and cancel insight when signal goes flat
* Update unit tests and regression tests
* Address peer review: using Insights.Clear
* Updates Regression Algorithm to Assert the Number of Insights
* Updates HistoricalReturnsAlphaModel to Cancel Insights Not Emit Flat
We expect fewer insights after this change, but no changes to any regression algorithm.
* Updates Regression Algorithm
Assert the new expected number of generated insights.
* Use InsightCollection Clear Method
* Update regression test
* Update model to expire insights
* Avoid remove insights
* Update regression test
* Use InsightManager Cancel to Expire All Insights
* Update CompositeRiskManagementModelFrameworkAlgorithm
This regression also depends on `MaximumUnrealizedProfitPercentPerSecurity` and `MaximumDrawdownPercentPerSecurity` but `MaximumDrawdownPercentPerSecurity` doesn't close positions.
---------
Co-authored-by: Alexandre Catarino <AlexCatarino@users.noreply.github.com>
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* Remove OnEndOfAlgorithm and update expected trades
* Update models to cancel insights
* Update expected results
There are 3 trades instead of 2 because the PCM does a rebalance
* Remove `Remove` method call
* Update to use the new `Cancel` method
* Improves MinimumVariancePortfolioOptimizer Values Handling
The C# version of the `MinimumVariancePortfolioOptimizer` generated NaN resulting in unit tests failing.
If the solver returns NaN for an item, we set it to zero. if all items are NaN or Zero, we return the initial guess, since the sum cannot be zero.
* Fixes `RiskParityPortfolioConstructionModelTests`
We need to add insights to insight manager before we call `CreateTargets`.
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* Asserts Number of Insights In One PCM Regression Test
If the `EqualWeightingPortfolioConstructionModel` interacts with the `QCAlgorithm.Insights`, the number of elements in the collection should not the sum of emitted insights.
* Refactor Portfolio Construction Models to Use Insight Manager
`PortfolioConstructionModel` will use `QCAlgorithm.Insights" instead of class property `InsightCollection` to manage the insights. It no longer adds insights to the collection, but it removes them if they expire or the securities are removed from the universe.
Updates PCMs that were affected by the change.
* Updates Unit Tests
We need to add the insights to the insight manager before we call `PortfolioConstruction.CreateTargets`
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* Performance Improvements
- Remove Immutable collection from position groups to improve
performance. Adding more tests
- Remove ConcurrentDictionary from PortfolioTargetCollection &
DataManager. Adding more tests
- Add Securities enumerator keys & values cache
* Add test for PortfolioTargetCollection remove by reference
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* remove annualization
* Update python optimizer to best fit in convex problem
* rerun test
* test metric
* Add comment to explain using simple return
* Add unit test on PR
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* Updates the PearsonCorrelationPairsTradingAlphaModelFrameworkAlgorithm
Change the `PearsonCorrelationPairsTradingAlphaModelFrameworkAlgorithm` logic to show that it doesn't remove the consolidators used in the Alpha Model's indicators.
* Fixes `BasePairsTradingAlphaModel`
The `BasePairsTradingAlphaModel` will create indicators with class constructors and register them to consolidators that will be removed when the security is removed from the universe.
* Addresses Peer-Review
Louis Szeto