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* Improve error message when consolidator period Python object is unsupported
* Make unsupported consolidator period error message more concise
* Apply descriptive Python conversion errors to other user-facing sites and add QuoteBarConsolidator.FromResolution
* List available overloads in unsupported Python argument error messages
* Update QuantConnect.pythonnet to 2.0.61
* Update overload hint test expectations to Python-typed signatures
* Exclude PyObject overloads from error hints and update to Python annotation style
* Move PyObject overload filtering from consumers into MethodSignatureFormatter
* Update Python alpha model name expectations for Python-style enum rendering
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* Update QuantConnect.pythonnet to 2.0.57
* Update NoMethodMatch interpreter tests for pythonnet 2.0.57 snake_case method names
pythonnet 2.0.57 renders the method name in the 'No method matches given
arguments' TypeError in snake_case (e.g. 'for set_cash:' / 'for rsi:'),
matching the name Python callers use. The interpreter extracts it correctly;
only the tests' hardcoded PascalCase expectations (SetCash, RSI) were stale.
Assert the snake_case names the API now emits.
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* Fix MaximumSharpeRatioPortfolioOptimizer to maximize the Sharpe ratio
The optimizer fixed the portfolio return to the equal-weight return
((µ − r_f)ᵀw = k) and minimized variance, which collapsed it to a
minimum-variance optimizer instead of maximizing the Sharpe ratio.
Python now maximizes (µ − r_f)ᵀw / √(wᵀΣw) directly with SLSQP, keeping
the budget constraint Σw = 1 and the per-weight bounds. C# applies the
Charnes-Cooper substitution y = κw, minimizing yᵀΣy subject to
(µ − r_f)ᵀy = 1 and recovering w = y / (1ᵀy); the per-weight bounds are
written as linear constraints in y (yᵢ − up·(1ᵀy) ≤ 0, yᵢ − lw·(1ᵀy) ≥ 0)
so the problem stays a convex QP and the [lower, upper] range is honored.
Both languages reach the same optimum, and the unit-test expectations are
updated to the corrected weights.
Addresses QuantConnect/Lean#9322
* Add property-based test that the optimizer maximizes the Sharpe ratio
* Cover all well-defined cases in the Sharpe optimality test
* Bound the optimality test above by the tangency Sharpe ceiling
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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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* Some fixes for new C# enums handling in Pythonnet
* Minor changes and cleanup
* Update Pythonnet version to 2.0.45
* Minor changes
* Minor fix
* Minor fix
* Minor change
* Minor change
* Minor unit test fix
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* Changed default async to true and passed target.Tag
* Make execution models place orders asynchronously if specified
* Add unit tests
* Execution model default to asynchronous orders.
Also, minor fixes for tickets remaining fill quantity potential race conditions
* Add SecurityHolding.UnrealizedQuantity property
It gets the holding quantity the security will have once all open orders are filled.
Added for thread safety reasons when execution models place asynchronous orders and need to calculate the actual quantity needed to reach the target of there are open orders
* Some cleanup
* Adjust projected holdings quantity on splits
* Minor fix
* More changes and cleanup
* Minor fix
* Improvements for thread safety
* Add IOrderProvider.GetProjectedHoldings to get projected holdings atomically
* Minor unit tests fix
* Add ProjectedHoldings DTO class
* Address peer review
---------
Co-authored-by: arthiondaena <arthiondaena@gmail.com>
* Make RollingWindow compatible with any data type
* Add generic RW<T> method
* Add RollingWindow wrapper class for PyObject
* Solve review comments
* Resolve review comments
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* Make ExtendedDictionary extend IDictionary
* Revert "Make ExtendedDictionary extend IDictionary"
This reverts commit bbbe9c769be682767cb9e487b904480376b53596.
* Make ExtendedDictionary key a type parameter
* Make SecurityPositionGroupModel an ExtendedDictionary
* Add unit tests
* Minor change
* Add more unit tests and other minor changes
* Add Count and ContainsKey to BaseChain
* Update pythonnet version to 2.0.43
* Update some python regression algorithms
* Minor regression algorithms fix
* Make CashBook and ExtendedDictionary
* Minor changes
* Minor changes
* Update pythonnet version to 2.0.44
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* Make FOPs selection universe file-based for backtesting
* Make FOPs option chains universe file based
* Make Future universe selection file-based like option universe
* Make Future universe selection file-based like option universe
* Abstraction cleanup
* Add FuturesChains API to QC algorithm
Also refactor future chain provider to use the new FutureUniverse instead of zip file names
* Update regression algorithms stats
* Refactor QuantBook option and future history to use new universes
* Fix failing tests
* Fix failing tests
* Fix failing tests
* Minor future chains unit test improvement
* Add futures chains DataFrame property
Also, remove IDerivativeSecurity interface from Future
* Add DataFrame property to FuturesChains class
* Add regression algorithms
* Add regression algorithms
* Replace QCAlgorithm.FutureChainProvider usages with new FuturesChain api
* Minor fixes
* Reduce number of universe files in repo
* Minor data fixes
* Regression algorithms updates
* Add implicit conversion from FuturesContract to Symbol
Modified algorithms to use futures contract objects directly instead of accessing their Symbol property.
Removed unnecessary import statements and redundant lines in various files.
* Improve resolution handling for history requests
* Changed _auxiliaryData field to lazily-initialized AuxiliaryData property
* Refactor data handling in BaseChain and TimeSliceFactory
- Added `AddData` method to `BaseChain` for adding market data
- Refactored `TimeSliceFactory` to use `BaseChain.AddData` method
* Remove specific constructors and indexers from Chain classes
Removed public indexers in `BaseChains` for getting or setting `BaseChain` instances by `ticker` or `Symbol`, which were used for Pythonnet compatibility.
* Remove chain cache logic from FuturesChainUniverse
* Refactor class and interface names for clarity
Renamed `FileBasedUniverse` to `BaseChainUniverseData` and
`IFileBasedUniverse` to `IChainUniverseData`.
* Add base class for options and futures contracts
- Introduced `BaseContract` as an abstract base class for contracts, consolidating common properties and methods.
- Removed ISymbolInterface
* Add minor fix for future options tickers parsing
Added tests
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* Clean chain provider classes up
* Remove ZipEntryName other classes and unused code
Removed ZipEntryName class and references across various files.
Removed DataQueueFuturesChainUniverseDataCollectionEnumerator and DataQueueOptionChainUniverseDataCollectionEnumerator classes.
Removed OptionChainUniverseSubscriptionEnumeratorFactory class.
Removed unused code for handling OptionChainUniverse and FuturesChainUniverse in FileSystemDataFeed.cs and LiveTradingDataFeed.cs.
Removed several test files related to enumerator factories and universe data collection.
* Minor changes and cleanup
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* Refactor FuturesContract data handling
Forward price data from bars and ticks stored in private fields for improved memory usage
* Fix: use universe data for market data in FuturesContract
* Update regression algorithms stats after rebase
Added HSI futures universe files
* Sort configs by internal flag
Internals go first
* Throw from option universe data filters for future options
Future options IV, Open interest and greeks are not supported for future options
* Minor changes
* Improve some regression algorithms
* Minor fix for failing unit tests
* Update FOPs universe file header
Removed greeks and IV columns.
Updated FOPs universe files: removed outdated columns.
* Minor unit test fix
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* Minor fix
* Add history provider as constructor argument for chain providers
* Update new regression algorithms data points count
* Minor fix for FakeDataQueue
* Add initialize method to chain providers classes
* Minor changes
* Trigger Build
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* Minor fix
* Minor fix
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* Add logs to ProcessedDataProvider
* Removed test logs
* Minor fix
* Support downloading options and futures universe files from api data provider
* 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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- Make sure calling CSharp methods, fields, properties releases the GIL,
this was not hapenning for fiels & properties, adding unit test
reproducing the issue
Jhonathan Abreu