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* Fix consolidator rolling window event ordering and out of order handling
* Unify DataConsolidated event and expose rolling window to Python consolidators
* Minor fixes
---------
Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
* Add built-in rolling window to all consolidators
* Minor fix
* Add unit tests
* Add Current and Previous properties to consolidators
* Add WindowBase<T> as single source of truth for rolling window logic
* Address review comments on consolidator rolling window
* Fix duplicate window in consolidator wrappers
* Fix Python consolidator equality
* Address review comments
* Make ConsolidatorBase implements IDataConsolidator
* Add IDataConsolidator<T> generic interface to avoid casting Consolidated output
* Revert "Add IDataConsolidator<T> generic interface to avoid casting Consolidated output"
This reverts commit f4bf812f4b26aff2789a8129fb07101962557a2a.
* Address second review round on consolidator rolling window
* Populate consolidator window before firing DataConsolidated events
* Move WindowBase to the Indicators namespace
* Restore original consolidator event ordering
* Recover original Sequential wire-up comment
* Add Price, Value and Close aliases to BaseContract
Expose Price, Value and Close on BaseContract as aliases of LastPrice to
mimic the BaseData/TradeBar API without inheriting BaseData. Marked with
PandasIgnore to avoid duplicating the LastPrice column in chain DataFrames.
* Keep BaseContract chains DataFrame unchanged for Value alias
The pandas converter force-includes the 'Value' member for non-Lean-data
types (to preserve the value column of custom data types despite
BaseData.Value being PandasIgnore'd). That override made the new
BaseContract.Value alias leak into option/future chain DataFrames as a
redundant 'value' column. Exclude BaseContract-derived types from the
forced inclusion so their PandasIgnore'd aliases are honored and the
chain DataFrames stay unchanged.
* Isolate OptionContract alias test from shared price-model singleton
OptionContract's default option data is the shared static
OptionPriceModelResultData.Null singleton, which other tests mutate via
Update. Reading LastPrice before setting up the contract's own data made
the assertion depend on global test state (failing in CI with a leaked
price). Assign a dedicated price model so the contract no longer reads
from or writes to the shared singleton.
* Give each OptionContract its own default option data instead of a shared singleton
OptionContract initialized its option data to the shared static
OptionPriceModelResultData.Null singleton. Update() mutates that data, so
contracts without an explicit price model shared and clobbered each
other's trade/quote/open-interest state (a latent bug, and the cause of
order-dependent test failures). Each contract now gets its own default
OptionPriceModelResultData instance, and the alias test no longer needs
to work around the shared state.
* Restore shared Null option data default and reset it in test SetUp
Revert OptionContract back to the shared static OptionPriceModelResultData.Null
default. To keep the alias test deterministic, reset that singleton in the
fixture's SetUp by updating a throwaway contract with a zero-priced trade bar,
and give the tested contract its own price model so its Update doesn't
re-pollute the singleton.
* Centralize Python/C# model detection logic
* Improve helper method
* Remove unnecessary conditionals
* Fix unit tests
* Refactor QCAlgorithm.python.cs to use the new helper method for models
* Solve review comments
* Clean up Python wrapper exception
* Update XML comments to better describe T and TWrapper in CreateModelOrWrapper
* Join unit tests in TestCases
* Solve review comments
* Replace manual TryConvert checks with CreateInstanceOrWrapper helper
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* Initial solution
* Solve review comments
* Add PythonSelectionModelHandler to reduce code duplication
* Refactor universe selection models
* Add python instance to Selection Models with virtual/override methods
* Add python instance to Alpha Models
* Add python instance to Execution models
* Solve review comments
* Solve new review comments
* Fix calling SetPythonInstance only when method exists and is callable
* Use unit test instead of regression algorithms
* Solve review comments
* Set python instance to the models
* Initialize Python containers only when instance is set
* Replace try-catch with explicit method existence check
* Initialize containers in BasePythonWrapper only when needed
* Add null instance check before method invocation
* Refactor TryExecuteMethod
* Refactor Python wrappers which inherit from BasePythonWrapper<>
* Solve review comments
* Remove ununsed methods
* Solve review comments
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* Support sub-indicator discovery using IIndicator and exclude PandasIgnore attribute
* WIP: PandasInclude
* Add PandasInclude annotation
* Resolve review comments
* Add a list of ignored properties
* Clean up [PandasIgnore] in IndicatorBase
- To simplify stub generation, merge PythonSlice into Slice, following
existing pattern too, see QCAlgorithm.Python.cs
- Minor sintax fixes in example python algorithms
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* Adds example of custom signal exports.
- SignalExportManager send signals automatically after 5 seconds.
- Missing example and Python support.
* Updates Examples to Disable Automatic Export
* Addresses Peer-Review
* Default Data to null for ETFConstituentUniverses.
The data collection will be assigned only if needed. This allows data column to be filtered from dataframes since it will always be null for all constituents.
* Make base data collection aggregator reader fall back to BaseDataCollection
After instatiating the collection type, fall back to the base BaseDataCollection to aggregate data if the type is not a base data collection.
* Minor change
* Minor change
* Update pythonnet to 2.0.41
* Ignore data column for every flattened universe dataframe
* Filter empty collections columns in data frames
* Allow snake case named attributes in PythonSlice
* Remove PythonSlice Data Python class
Pythonnet handles dynamic objects behavior
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* Normalize universe data frames
Universe and (generically BaseDataCollection) data frames are not normalize and unpacked into a data frame, instead of just creating data frames with the universe lists within it
* Fix unit tests and algorithms to expecte new universe dataframe format
* Fixes
* Add PandasConverter.DataFrameGenerator class
* Pandas data frame generator class fixes
* Add comments
* Housekeeping
* Add attributes to mark classes and properties for pandas processing
* Improve pandas properties expanding
Allow and handle duplicate names
* Use PandasData generalization for Lean common data types
* Add points time as column when converting base data collections to data frames
* Cleanup and minor changes
* Minor change
* Pandas data to get type members on demand
* Move Pandas helper classes to their own files
* Minor changes
* Add flatten argument to python history api
This allows users to decide whether they want fully expanded dataframes for universe and other collection data types. Else, master behavior is kept
* Adding missing changes to last commit
* Update Pythonnet version to 2.0.40
* Add flattent argument to algorithm's OptionChain api
* Minor changes
* Housekeeping
* Minor changes
* Bug fix skipping data collection data points
* Add comment
* Set correct exchange time to OptionUniverse instances
* Address peer review and cleanup
* Cleanup
* Minor changes
* Fix pandas converter to handle list of data with different symbols
* Properly convert list of data into dataframe
Take into consideration data for multiple symbols in the same list
* Cleanup
* Index dataframes by symbol object instead of SID string
* Add symbol equality operator to compare against object
* Exclude "ID" from option chain dataframe
* Minor fix
* Add greeks columns directly in option chain dataframe.
Also add pass-through properties for greek values in OptionUniverse
* Some cleanup
* Minor fix
* Add new QCAlgorithm.OptionChains() method
- Use OptionChains as output
- Add DataFrame to OptionChain and OptionChains
- Rename Greeks classes
- Add ISymbolProvider for classes that have a symbol (IBaseData, OptionContract)
* Unify QCAlgorithmOptionChain API
Also refactor OptionContract to handle: (1) Actual market data and option price model data, and (2) OptionUniverse data
* Pass symbol properties to OptionUniverse option chain from algorithm
* Format OptionContract for dataframe
* Minor fix
* Add multiple option chains api regression algorithms and other minor changes
* Address peer review
Add NullGreeks class: keep ModeledGreeks as internal as possible
* Minor fix and add PandasConverter unit tests
* Peer review: Non-thread-safe Lazy for Python
* Handle Greeks unwrapping by PandasData
* PandasData cleanup
* Add data and other minor changes
* Unit test fix
* Update Pythonnet to 2.0.39
* Cleanup
* PandasData handling children class members
Address peer review
* Fix: indexing symbol conversion in pandas mapper
* Fix pandas mapper to convert string keys to symbol only when necessary
* Cleanup
* Cleanup
* Add PandasColumn python class to handle proper indexing
This allows propery hash and equality between Symbols, C# strings and Python strings
* Minor fixes
* Symbol cache improvements
* Minor fix for cache miss
* Revert PandasMapper reserved names and improvements
* Minor fix
* Revert reserved names
* Minor fix for Symbol equality operators
---------
Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
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* Enhance command support
- Enhance command support, adding link helper methods. Adding and
expanding new tests
- Minor improvement for command str representation
* Minor test fix
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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
JosueNina