* Add trailing stop orders base implementation
* Handle trailing stop order prices rounding
* Implement trailing stop orders fill logic
* Minor fill model changes
* Add ApplySplit to fill model interface for models that might need to be aware of splits.
Filling trailing stop orders require keeping track of min/max prices, which need to be split adjusted.
* Add brokerage order updated event for communicating certain order types prices changes
* Add order update event args class for brokerage side order updates
* Revert IFillModel.ApplySplit
* Add trailing stop orders regression algorithm
* Updated order ticket demo algorithm to include trailing stop orders
* Some cleanup
* Support trailing stop orders in IB brokerage model
* Some cleanup
* Fix failing tests
* Fix failing regression algorithm
* Address peer review
* Add trailing stop price calculation unit tests
* Minor changes
* Minor change
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* Implement RangeConsolidator
It turned out that the behavior of RangeConsolidator was similar to
ClassicRenkoConsolidator. Then, some of the ClassicRenkoConsolidator
methods, were abstracted to new class called BaseTimelessConsolidator.cs,
from which both RangeConsolidator and ClassicRenkoConsolidator could
inherit, therefore resusing code. The following tasks were done:
- Create RangeConsolidator.cs
- Create RangeBar.cs
- Create BaseTimelessConsolidator.cs
- Create RangeConsolidatorTests.cs
- Modify ClassicRenkoConsolidator.cs
* Allow intermediate/Phantom RangeBar's
- Enhance unit tests
- Nit changes
- Allow intermediate/Phantom RangeBar's on RangeConsolidator
* Nit changes
* Create ClassicRangeConsolidator and more changes
- Add regression tests
- Enhance unit tests
* Address required changes
* Address requested changes
* Address requested changes
* Add regression tests with Tick Resolution
* Address required changes
* Increase Range for RangeConsolidatorWithTickAlgo
* Add more unit tests and solve bugs
* Nit change
* 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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* Address JB comment
* Remove repeated fields in BaseRenkoBar
- Add new unit test to all indicators that inherit from
IndicatorBase<TradeBar>. This test asserts the indicators can receive
RenkoBar's as input
* Add Regression test and improve unit tests
- Change `Volume` property from `RenkoBar.cs` since RenkoBar's don't
have Volume. Now it throws an error when accessed
* Address required changes
* Add Python regression test and enhance unit tests
* Enhance unit and regression tests
* Assert indicator current value at the end
* Allow more indicators to use Renko/VolumeRenkoBar
* Fix Security.IsMarketOpen for cases outside regular MH and last bar
* Minor changes
* Move bar check of IsMarketOpen into FillModel
* Minor changes
* Minor changes
* Minor changes
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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
The algorithm `CustomPartialFillModelAlgorithm.cs` was not working as
expected with short orders because in its Fill model, the variable
`absoluteRemaining` instead of decrease was being increased since
the `FillQuantity` in each call to this method was negative. Therefore
when this amount was substracted to `absoluteRemaining`, instead of
substract, it was added. Hence the method created more partial orders
than expected, specifically: 580 short orders for SPY with Quantity -10.
* Fix `CustomPartialFillModelAlgorithm.py`
* Address required changes
* Nit change
* Address required changes
* Make statistics available at runtime to algorithms
* Re-calculate statistics on every call
* Housekeeping
* Add regression algorithms
* Address peer review
* Support for custom summary statistics at runtime
* Minor changes
* Address peer review
* Address peer review
* Minor changes
* Minor changes
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* Implement indicator history through a rolling window
* Minor changes and extend unit tests
* Add regression algorithms
* Minor changes
* Update regression algorithms examples
* Move resizing logic from IndicatorBase to RollingWindow
* Add unit tests and other minor changes
* Minor fix
* Add unit tests and other minor changes
* Add unit test
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* Add ShortButterflyCall and ShortButterflyPut strategies helper factory methods
* Reduce duplication by adding the base OptionStrategyFactoryMethodsBaseAlgorithm algorithm class
* Housekeeping
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* Account for premium in option strategies margin
* Minor fixes
* Add OptionInitialMargin class to separate strategies margin and premium
* Minor fix
* Minor fix
* Cleanup, docs and other minor changes
* Minor changes
* Minor changes
* Minor changes
* Address peer review
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* Add SetAccountCurrency overload
- Add SetAccountCurrencyOverload to allow the user to set also account
currency quantity
- Add regression and unit tests to cover the changes
* Add regression algos
* Simplifiy SetAccountCurrency implementation
* Minor changes
* Minor changes
* Add support for Null SecurityPositionGroupModel
- Add support for algorithms to set the null security position group
model which will not group securities together but rather return the
single group buying power model. Adding regression algorithms
* Add Null Margin python regression & cleanup
- Add python regression algorithm & minor regression algorithms clean up
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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 Unregister helper method
- Implement Unregister helper method, each indicator which hold a
reference to the consolidators updating it. Adding regression
algorithms
* Fix for QuantBook indicators
* Address reviews
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* Add forward data only fill model example
- Add forward data only custom fill model C# & PY example.
- Minor adjustment for 'MarketOrderFillTimeout' to be zero always in
backtesting
* Address reviews
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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 bugs
- Solve bugs in DefaultMarkets, CanUpdateOrder() and CanSubmitOrder() methods from BrokerageModelPythonWrapper.cs
- Add regression algos in both Python and C# to cover the changes
* Catch potential errors and add unit tests
* Add more unit tests
* Nit change
* Enhance implementation, add more unit tests
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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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* 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
* 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
* Solve bugs and nit change
* Address review
---------
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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* Solve Report Generation Conversion Rate Error bug (#7183)
* Solve bug
Remove if sentence that checked if Portfolio contained securities that
needed a conversion, like Forex, Crypto or Cfd. It didn't take into
account CryptoFutures so when the backtest result used that kind of
security types it never found a conversion for them. Making a git blame
for Report.PortfolioLooper constructor it was found the if sentence was
not needed so it was removed and then different reports were made for
algorithms that used security types different than Forex,Crypto,Cfd and
CryptoFutures to check everything was still working as expected.
* Solve bug
Remove if sentence that checked if Portfolio contained securities that
needed a conversion, like Forex, Crypto or Cfd. It didn't take into
account CryptoFutures so when the backtest result used that kind of
security types it never found a conversion for them. Making a git blame
for Report.PortfolioLooper constructor it was found the if sentence was
not needed so it was removed and then different reports were made for
algorithms that used security types different than Forex,Crypto,Cfd and
CryptoFutures to check everything was still working as expected.
* Missing Python Version of Crypto Future Algorithms - Issue 7128
* Address reviews
---------
Co-authored-by: hungv <hungv@compatibl.com>
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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* Add dataMappingMode parameter to every history api method overload
* Minor unit tests fixes
* Update regression algorithm stats
* Minor changes
* Minor changes
- Create `SecurityDataFilterPythonWrapper.cs`
- Modifiy `Security.cs` to set a data filter, whether is a C#, Python derivative or custom data filter custom
- Add Python and C# regression algorithms to assert the changes
* Add extendedMarket parameter to every history api method overload
* Rename extendedMarketHours parameter
New name is extendedHours as in the History API to standarize parameters naming
* Update generic history overloads to use every matching subscription
* Update regression algorithms stats
* Centralize period-based history error for tick resolution
* Rename extended market hours parameter to extendedMarketHours
* Minor changes
* Minor changes
* Minor unit tests changes
* Minor unit tests changes
* Minor changes
* Minor unit tests changes
* Minor unit tests changes
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* Implement `OptionExerciseModelPythonWrapper.cs`
- Modifiy `Option.cs` to set the automatic exercise model, even if it's a python custom option model exercise model
- Add `QuantConnect.Orders.OptionExercise` in `AlgorithmImports.py`
- Add regression algorithms in C# and Python showing how to specify a custom option exercise model
* Address required changes
- Remove unnecessary constructor in
´CustomOptionExerciseModelRegressionAlgorithm.cs´
- Change `.Dispose()` in `OptionExerciseModelPythonWrapper.OptionExercise(9` to ´using´ keyword
- Change `Option.SetOptionExerciseModel()` XML docs
* Minor tweaks
* Update CustomOptionExerciseModelRegressionAlgorithm.cs
---------
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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* Add fillForward parameters to every History method
* Remove conflicting Python history method
* Undo removing conflicting Python history method
* Minor changes
* Minor changes
* Minor changes
* Add fillForward and extendedMarket parameters to history request factory
* Minor changes
* Minor changes
* Minor changes
* Minor changes
* Minor unit tests changes
* Rename fillForward parameter in History API
New name if fillDataForward as in the Add*Security API to standarize
parameters naming
* Rename fillForward parameter
Using the shorter fillForward in every API
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* Add Collective2SignalExportClass
Add SignalExportTarget interface
* Collective2SignalExport test working
Add SignalExportManager
Add draft of CrunchDAOSignalExport
* Modify SignalExportManager
Instantiate SignalExportManager in QCAlgorithm constructor
Draft of CrunchDAOSignalExport
* Improve SignalExportManager
- Add regression tests SignalExportDemonstrationAlgorithm in C# and
Python
* Improve SignalExportDemonstrationAlgorithm
Address requested changes in Collective2SignalExport, SignalExportManger and SignalExportTargetTests.cs
* Add CrunchDAOSignalExport.cs
Add CrunchDAOSignalExport unit tests in SignalExportTargetTests.cs
* Add NumeraiSignalExport.cs
Modify SignalExportDemonstrationAlgorithm.cs to test NumeraiSignalExport
Add unit test in SignalExportTargetTests to test NumeraiSignalExport
* Address required changes
- Add BaseSignalExport.cs
- Add SignalExportParameters.cs
- Add PortfolioSignalExportDemonstrationAlgorithm.cs/py
- Improve Error handling in SignalExport provider classes
- Collective2SignalExport now gets the correct number of shares for each holding
- SignalExportManager now computes the correct holding percentage of each portfolio target
- SignalExportManager now takes into account if the algorithm is in live mode
- Demonstration algorithms now are more simple
* Address last required changes
- PortfolioSignalExportDemonstrationAlgorithm.cs/py now inherits from SignalExportDemonstrationAlgorithm.cs/py
- Add more unit tests to assert SignalExportManager gets the correct percentage quantity for each holding
- Change Collective2SignalExport, CrunchDAOSignalExport and NumeraiSignalExport Send() method to return true if there was no error while sending the signals and false otherwise
- Nit changes
* Remove exceptions thrown
- Add more unit tests and more test cases
- Enhance BaseSignalExport.Dispose() method
* Add Collective2SignalExportClass
Add SignalExportTarget interface
* Collective2SignalExport test working
Add SignalExportManager
Add draft of CrunchDAOSignalExport
* Modify SignalExportManager
Instantiate SignalExportManager in QCAlgorithm constructor
Draft of CrunchDAOSignalExport
* Improve SignalExportManager
- Add regression tests SignalExportDemonstrationAlgorithm in C# and
Python
* Improve SignalExportDemonstrationAlgorithm
Address requested changes in Collective2SignalExport, SignalExportManger and SignalExportTargetTests.cs
* Add CrunchDAOSignalExport.cs
Add CrunchDAOSignalExport unit tests in SignalExportTargetTests.cs
* Add NumeraiSignalExport.cs
Modify SignalExportDemonstrationAlgorithm.cs to test NumeraiSignalExport
Add unit test in SignalExportTargetTests to test NumeraiSignalExport
* Address required changes
- Add BaseSignalExport.cs
- Add SignalExportParameters.cs
- Add PortfolioSignalExportDemonstrationAlgorithm.cs/py
- Improve Error handling in SignalExport provider classes
- Collective2SignalExport now gets the correct number of shares for each holding
- SignalExportManager now computes the correct holding percentage of each portfolio target
- SignalExportManager now takes into account if the algorithm is in live mode
- Demonstration algorithms now are more simple
* Address last required changes
- PortfolioSignalExportDemonstrationAlgorithm.cs/py now inherits from SignalExportDemonstrationAlgorithm.cs/py
- Add more unit tests to assert SignalExportManager gets the correct percentage quantity for each holding
- Change Collective2SignalExport, CrunchDAOSignalExport and NumeraiSignalExport Send() method to return true if there was no error while sending the signals and false otherwise
- Nit changes
* Remove exceptions thrown
- Add more unit tests and more test cases
- Enhance BaseSignalExport.Dispose() method
* Fix failing regression tests
* Fix failing unit tests
* Nit changes
* Nit change
* Nit change
* Fix failing unit tests
* Changes required
- Break regression algos `SignalExportDemonstrationAlgorithm.cs/py` nad `PortfolioSignalExportDemonstrationAlgorithm.cs/`y` into three ones, one for each signal export provider
- Change SignalExportManager constructor to receive current algorithm as a parameter
- Fix bug in `SignalExportManager.GetPortfolioTargets()`, now it computes the correct percentage for each holding
- Make `BaseSignalExport.DefaultAllowedSecurityTypes` overrdible
- Handle case were `Collective2SignalExport.ConvertPercentageToQuantity()` returns null
- Clean unnecessary code in `Collective2SignalExport()`, `CrunchDAOSignalExport()` and `NumeraiSignalExport()`
* Nit change
* Nit change
* Minor tweaks after review
* Remove indexes from signal exports
* Required changes
- Change EMA indicators period from 200, 300 to 10,100 in regression algorithms
- Remove Indices from regression algorithms
- Add more XML documentation to regression algorithms
- Change `Log.Error` to `_algorithm.Error` in Signal export providers. Besides, fix error message format
- Change default value for `platformId` parameter in `Collective2SignalExport.cs` constructor
- Solve small bugs in SignalExportProvider when verificating the amount of porfolio targets is greater than zero and each portfolio target is allowed
- Handle case when `PortfolioTarget.Percent()` returns null in `Collective2SignalExport.ConvertPercentageToQuantity()`
- Handle error format message from Collective2 API
- Check every ticker signal is between 0 and 1 (inclusive) in `CrunchDAOSignalExport.cs`
- Modifiy `NumeraiSignalExport.cs` constructor to take into account filename given in the arguments
- Fix small bug with the return value of `ConvertTargetsToNumerai()` method in `NumeraiSignalExport.cs`
- Modify `SignalExportManager.cs` to return true when the algorithm being ran is not in live mode
- Remove indices from CrunchDAO unit tests
* Enhance ´CrunchDAOSignalExport.cs´ implementation
---------
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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* Handle position group margin calls
* Minor changes
* Update regression algorithms
* Minor changes
* Minor changes
* Added regression algorithm
* Peer review
* Peer review
* Peer review
* Peer review
* Minor changes
* Minor changes
* Add unit test
* Allow sufficient buying power when closing position group
* Add unit test
* Improve regression algorithms
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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
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* Invalidate option strategies orders when short selling over margin
When shorting an option strategy with margin requirements that cannot be
met, the order should be invalidated. The buying power model is now able
to detect said situation and result in unssuficient buying power.
The OptionsMarginModel now uses the parameters instance values instead
of the security holdings to compute margin requirements. This fixes the
situation when calculation buying power for a first time position with
no holdings.
* Add and fix unit tests
* Update regression algorithms
* Peer review
* 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
Jhonathan Abreu