- Use OptionChains as output
- Add DataFrame to OptionChain and OptionChains
- Rename Greeks classes
- Add ISymbolProvider for classes that have a symbol (IBaseData, OptionContract)
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* Fix dividend yield calculation
* Get security price as input for dividend yield provider
* Account for splits in dividend yield provider
* Fix split adjustment for dividend yield calculation
* Use right dividend yield in options indicators
* Add indicator helper methods for base Algorithm
- Add indicator helper methods for base algorithm. Adding new unit tests
* Expand indicators helper methods
- Expand indicators helper methods, adding support for C# and custom
indicators too. Adding unit tests
- Expand indicators helper methods to support multiple symbols as input.
Adding unit tests
- Improve conversion of symbol enumerable from python to C# adding unit
tests
* Address reviews
- Keep old QB.Indicator methods for backwards compatibility
- Rename new API to IndicatorHistory, matching
FutureHistory/OptionHistory
- Add new regression algorithms
- Minor improvement to DynamicData so it supports snake name access
* Fix: python consolidator reference lost when wrapped
* Make BasePythonWrapper equatable depending on the PyObject underlying reference
* Fix: TryConvert PyObject instances for generic C# types
* Minor unit tests fixes
* Address peer review and add unit tests
* 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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* Add support for auxiliary data history request
- Add support for split/dividends/margin interest history requests.
Adding regression algorithms
* Expand auxiliary history regression tests
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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
* Delay security removal when there are pending settlements
* Add unit test
* Minor fixes
* Minor fix
* Replace HasUnsettledFunds method with UnsettledCash in ISettlementModel
* Minor fix
* Minor fix
* Address peer review
Replace ISettlementModel UnsettledCash property with GetUnsettledCash method that returns a CashAmount instead of a decimal to include the currency
* Minor fix
* Address peer review
* Handle/filter brokerage side orders
* Add unit tests
* Minor fix
* Add unrequested security for new brokerage-side orders
* Add unit test for algorithms overriding the brokerage message handler
* Add unit test for python algorithm overriding the brokerage message handler
* Minor change
* Address peer review
* Improve GetFillModel()
* Add support for other methods
* Add regresion algos and improvements
* Make Python algorithms regression tests
* Improve unit tests
* Minor changes
* Implement risk free interest rate as an algorithm model
* Use risk free insterest rate model in Sharpe Ratio indicator
* Address peer review
Also added python wrapper
* Take pyobject as interest rate model in Sharpe Ratio indicator
* Minor fix
* Minor fix
* Address peer review
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* Shortable modeling improvements
- Do not limit live trading because of shortable model, will send
algorithm warning
- Add Interactive brokers shortable provider
- Minor LocalDiskShortableProvider API changes
* Fix shorted order update
- Fix shorted order update. Updating regression algorithm
* Minor improvement
* Address reviews
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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 support for Combo Orders with Fill Model
- Override ComboMarketFill, ComboLimitFill, ComboLegLimitFill in
FillModelPythonWrapper.cs
- Modify FillModel.Fill() to use Python Fill model if it exists when the
order is COMBO
- Add regression algorithm ComboOrdersFillModelAlgorithm.py
* Add regression algorithm
* Add regression algos
* Fix bug
* 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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* Pandas frame include all ticks
- Pandas data framde history response will include all ticks. Updating
existing and adding new tests
* Python pandas converter performance improvement
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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
Jhonathan Abreu