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- Make sure calling CSharp methods, fields, properties releases the GIL,
this was not hapenning for fiels & properties, adding unit test
reproducing the issue
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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
Ricardo Andrés Marino Rojas