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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
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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.
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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
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* Normalize time in universe behavior
- Normalize Option & Future chain universe behavior regarding their
assets time in universe. They will now respect the universe settings
time in universe value. Adding new regression algorithms asserting the
behavior
* Address reviews & cleanup
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* MRP
* Fix bug
* Rename
* Provide virtual `GetPriceRelative` function to override for any variants in future
* SymbolData class within model
* Address peer review
* fix bug
* revise unit test and fix bug in python model
* revise unit test and fix bug in model
* Revise regression statistics
* Revise regression statistics
* Revise regression statistics
* Revise regression statistics
* Revise regression statistics
* Address peer review
* Updated unit tests according to peer review
* Address peer review
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* Reproduce TrailingStopRiskManagementModel bug with test case
* Fix TrailingStopRiskManagementModel to make it relative to max price
* Adapted old TrailingStopRiskManagementModel test to new implementation
* Fix TrailingStopRiskManagementModel Python version
* Fixed TrailingStopRiskFrameworkAlgorithm regression tests data
* Handling both long and short positions in TrailingStopRiskManagementModel
* Traking holdings value instead of unrealized profit in TrailingStopRiskManagementModel
* Checking for position side change in TrailingStopRiskManagementModel
* Handling immediate liquidation in TrailingStopRiskManagementModel
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* Warm up EmaCrossAlphaModel
Warm Up EmaCrossAlphaModel indicators
* Fix regression test bug
When using the default `EmaCrossAlphaModel()` the period of both indicators to be ready is bigger than the difference between the start date and the end date of the algorithm. Then, as the algorithm didn't warm up the data both indicators of EmaCrossAlpha never were ready, but now as the model warms up the data both indicators are ready so we get different statistics
* Requested change
* Fix unit tests
As there wasn't items in `AddedSecurities`, when trying to remove the items in ´RemovedSecurities´ there was nothing to remove because there was never a security in `_symbolDataBySymbol`. That's why, in order to test, the behavior of `EmaCrossAlphaModel` when removing a security we need to first add one to then remove it.
* Requested changes in Python
- Requested changes in Python
- Nit changes
* Nit change
* Requested Changes
* Add RemoveConsolidators() method in Python version
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* Make continuous futures untradable
- To match live trading behavior. Adjust continuous futures securities
to be untradable
* Set ContinuousFuture as non tradable
- Set continuous futures as non tradable. Update regression algorithms
- Fixes for symbol capacity calculation
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* Do not send internal SecurityChanges to Algorithm
- Will not send internal security changes to the Algorithm by default.
Following custom security changes filter pattern. Updating regression
algorithms to assert behavior.
- The universe member will know wether it was added with internal
configurations or not
* Address reviews use a separate collection for internals
* Refactor solution. Adding security changes constructor class
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- Add new CustomWeight PCM for alpha streams
- Add new AlphaStreams AlphaModule that will handle security additions
and removals, removing this logic from AlphaStreamsBasicTemplateAlgo
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* Warm up MACD indicators
- When a security is added in the MACD alpha model, it's warm up at once
* Add unit tests
* Nit change
* Code style and nit changes
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* Few improvements
- Alpha Streams algorithm will add target securities right away
- If algorithm is warming up PortfolioTargetCollection will emit not
insight
- Fix local disk factor file provider to use local cache instead of data
folder
- EWAS PCM will not emit targets for securities which have not been
added by the algorithm yet, to avoid runtime exception
* Fix GetLastKnownPrice default order adding more unit tests
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* Alpha Streams improvements
- Warmup added securities so we can trigger an order right away
- Fix bug where AddSecurity returned a security which was not the one
being used
- Fix bug where EWAS PCM would remove from a dictionary while iterating
over it
* Fix unit tests
* Add QCAlgorithm.GetLastKnownPrices API
- Add new GetLastKnownPrices that will return the last known data point
for all subscribed data types.
- Fix for MHDB GetDataTimeZone which was using an invalid entry key
format for custom data.
- Fix for using GetLastKnownPrice/s to seed a security during creation,
when it's not added in the Algorithm.Securities collection
* Adding more unit tests for GetLastKnownPrice
* Address reviews
- Refactor GetLastKnownPrice/s to perform a single history request for
all data types
Ricardo Andrés Marino Rojas