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* Implement indicator-based option price model
This model uses IV and Greeks indicators to implement Lean's own option pricing model
* Minor fixes
* Address peer review
* Minor tests fixes
* Make the indicator based price model the default for options
* Address peer review
* Cleanup and minor changes
* Support indicators configuration for new pricing model
* Some cleanup
* Add QL option price model example algorithm
* Return lean models from static helpers
* Minor tests fixes
* Minor test fixes
* Address peer review
* Cleanup
* Fix unit tests
* Move QL models to OptionPriceModels.QuantLib.*
* Add forward tree helper method
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* Fix NullReferenceException in SecurityService
* Simplify the unit test
* Add unit test for RandomDataGenerator
* Improve unit test name
* Solve review comments
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* Use Futures Bank Holidays For Expirations
* Minor improvements
- Futures will be stored by their contract month, not expiry
* Delete dairy future products
* Minor test fixes
* Initial solution
* Solve review comments
* Fix unit tests
* Resolve comments reviews
* Return a default symbol instead of throwing an exception
* Add unit test
* Initialize securities on re-addition
* Minor unit tests fixes
* Reset Index.ManualSetIsTradable when security is removed
* More changes to clean up and simplify
* Address security re-utilization only
* Cleanup regression algorithms
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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
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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
* 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>
* Daily data Time & EndTime Improvement
- Adjust daily data Time & EndTime to actually reflect the time of the
data used, for example US Equity from 9.30 to 4PM. Adding new unit and
regression tests
* Refactor solution to use enumerator
- Refactor daily strict end times solution to be through enumerator
usage, so it applies for history providers too
* Minor fixes
* Revert fill forward enumerator change
- Revert FillForward enumerator causing stats changing, enhancing unit
tests
* Some cleanup
* Improve handling of live trading FF enumerator
- Improve handling of live trading FF enumerator, by adding support for
bars to arrive with a delay so we can handle auction close/option
prices or data providers which might have some delay making the data
available. Adding new unit tests asserting the behavior
* refactor: modifier static to parse enum and ignore warning
* feat: group symbol when download cannonicial data
feat: log total time execution of download provider
test: right keeping of cannonicial data
* feat: parameter ctor in DataDownloadConfig
* test:feat: additional assertion of wrote data in file
* feat: static FilterGroupDownloadDataBySymbol
* refactor: extract downloader folder path
* try: map file false
* feat: get rid of dataCacheProvider in DownloaderDataProvider
* refactor: get rid mapFile flag
* CI test fix
---------
Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
* 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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* Support sourcing custom data from ObjectStore
* Add Python regression algorithm
* Wire engine to pass ObjectStore down to the stream readers
* Minor changes
* Minor unit tests fixes
* Remove unused SetupHandlerParameters.ObjectStore
* Minor changes
* Minor changes
* Support single-file zipped data to be sourced from object store
* Assert object store custom data history requests in regression algorithms
* Add custom object store data live data feed unit test
* Add multi-file object store custom data regression algorithms
* Minor fix
* First attempt to fix the bug
* Allow the splitFactor to change over time
- Add unit test
* Nit change
* Address required changes
* Address required changes
* Adjust upper bound
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* Fix the bug and add unit tests
- The bug was raised by different conditions.
First, the tick created in tick generator for Open Interest was not of type Open Interest.
Second, TickAggregator.cs was made to use daily resolution for OpenInterest always.
Third, the RandomValueGenerator, generated a random friday as expiration date for the option created but this one needed first two underlying data points, so if the expiration date was before the start date plus 3 days, RandomDataGenerator just generated OpenInterest data for the option.
* Add docs
* LeanDataWriter can handle mapping
- Adjust LeanDataWrite so that it can handle symbol mapping if required.
Adding unit tests
* Fix Lean Data path parsing
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* Handles Data Subscriptions with One Security Type
Polygon sells data subscriptions for security types separately, so we should not test whether the users have all three subscriptions, Equity, Forex, and Crypto. Users just need the type they will use.
Adds new crypto markets, and unit tests for them. Adapt unit test.
* Fixes ToolBox Downloader
Adds `--api-key` argument.
Closes#6687
* Address reviews
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
* use research-object-store-name key from config while creating object store for research notebooks
* remove bitfinex files
* remove redundant ref
* move test to private repo
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* Allow DataWriter to merge existing ticks if desired
- Optionally allow lean data writer to merge new ticks with existing
- Adjust ZipStreamWriter
- Fix bug in compression lib that was leaving files open. Reproduced by
added tests.
* Address reviews
- Define new WritePolicy to configure the behavior of the LeanDataWriter
regarding how it should handle writing to a file: merge, overwrite,
append
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* make public safe to expose test properties
* extract ib files
* remove dependencies
* refactor to use ib reference as string
* remove un-used dependencies
* remove redundant refrences
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* Binance fees deducted from fill quantity accordengly
- For Binance cash accounts while buying, if fees are from the base
currency of leans virtual position, we need to deduct the fee from the
fill quantity, else we can end with a position bigger that it actually
is and not be able to liquidate
* Refactor solution
- Refactor solution into a more generic approach solving fees in base
currency at the BrokerageTransactionHandler level, covering all
brokerages that require it. Adding regression algorithm reproducing
issue.
- Update Bitfinex and Binance fee models to correctly reflact reality
* Log fill quantity adjusment once
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* replace to local functions as they are more performant
* fix random generator upper bound
Next() includes minValue, but not maxValue, so we increment it +1
* introduce abstract layers
* refactoring
* fix tets
* adapt tests
* fixup
* implement blackschole price model for options
* use risk free rate
* use ql price model
* wip
* change interface
* fix
* tidy up the code
* wip
* iterate groupped symbols
* wip
* wip
* fix
* allow symbol of different types
* improve settings
* wip
* iterate full range
* fix issue with negative option
* fix
* fixup
* use StandardDeviationOfReturnsVolatilityModel
* re-use existing tick types per security type
* parametrize underlying security type
* use default option style
* dynamic option price model
* fix enumeration
* test
* fix unit tests
* refactor code
* remove unused file
* minor tweaks and refactoring
* rename symbol generator class
* fix interface
* add comments
* more comments and unit tests
* more tests
* add disclaimer
* more tests
* more comments and tests
* split tests into different files
* tidy up the code
* tidy up the code; more tests
* refactor TickGenerator => use security price directly on each iteration
* remove dupe; reuse main constructor
* use SecurityManager, refactor code
* bugfix: save ticks in history array
* check volatility warm up & tests
* more unit tests
* describe volatility period span in settings
* rename command line option
* Minor adjusments. Address review
- Use Lean log handler instead of writting directly to console
- Rename BlackShcolesPriceGenerator to generically OptionPriceModelPriceGenerator
- Minor format clean up & standarization
- Add support for specifying the option chain size
* Rename TickGenerator private fields
* Fix unit tests
* fix tests class name
* Support tickers being specified
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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- Zip entries will be sourced from cache provider
- Option underlying will use SubscriptionDataSource to fetch it's data.
Fixing bug where it would let through an old data point, or miss
sending data through.
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* GH-6115: adjust dates
* fix
* use another approach
* Add lean data writter multiple days data unit test
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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* Add tick type to data downloader get (price data) call in order for api's with rate limits to handle not making an api call at all.
* Added DTO object to pass into data downloader get
* Added missing header for new file
* Address review. Minor tweaks
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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* Create generic writing for LeanDataWriter, + notes on todos
* Make Options Daily/Hourly data store by year
* Refactor Generic Write
* Permit hour and daily resolutions for options
* Refactor writer to merge when needed with other files
* Cleanup redundancies, run write tasks in parallel
* Make needed classes/vars available
* Update tests to reflect new naming convention for daily hourly options data
* Add Byte[] overloads for ZipData functions in compression
* Implemented Store() for ZipDataCacheProvider
* Have LeanDataWriter use a DataCacheProvider
* ZipDataCacheProvider cleanup
* ZipDataCacheProvider tweaks, doesn't support storing non-zips
* Test adjustments
* Update LeanDataWriter to use Write instead of SaveDailyHourly/SaveMinuteSecond
* Implement tests to verify DownloadAndSave behavior
* Nit cleanup on DownloadAndSave tests
* Fix for options daily/hourly underlying equity subscription read
* Add daily/hourly options data and regressions
* Add missing open interest for hourly
* Fix writing of OpenInterest Daily/Hourly data
* Update data
* Fix Date typo in regression
* Use daily algorithm to test delisting
* Revisions part 1
* Expand test for DataCacheProviders; refactor DiskDataCacheProvider
* nit - test adjustments
* ZipDataCacheProvider test setup refactor
* Adjust multithreaded read/write test; fixes for ZipDataCacheProvider
* Move DiskDataCacheProvider to its own file and add write test
* Remove _appendToZips; always overwrite entry or create zip
* Add mapping regression for daily options
* nit - add license to regression
* Fix Tick write case where more than one data point for a DateTime
* Fix data issue
* Address review
* Tweaks for tests
* Stop Store() early if no entry name is given
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* WIP removal of custom data references & tests updates
* Regression algos updated and python algorithms moved to DataSource repos
* Fixes failing unit tests
* Add "LiveDataTypes" field to LiveNodePacket
* Adds Initialize() to IDataChannelProvider
* Adds new extension method to convert
HistoryRequest -> SubscriptionDataConfig
* Address review: Add protobuf definitions for Iconic data types
* Address review: re-adds DynamicSecurityDataAlgorithm as regression algo
* Small adjustments to variable naming and documentation
* Move test files to respective DataSource repos
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* Add new DownloaderDataProvider
- Moving LeanDataWrite and IDataDownloader to common project
- Add new BaseDataDownloaderDataProvider with concurrency helper method
- Add new DownloaderDataProvider which will use a IDataDownloader or
IBrokerage implementation as data source
* Add support for downloading symbol chains data
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* Updates Equity Market Data
* Updates Unit Tests
* Updates Regression Tests
In this commit we include regression tests with small changes (slightly different CAGR, Alpha, etc, but same number of trades) due to the data update.
* Updates Regression Tests 2
The following regression tests were adapt because of verification of hard-coded market data values:
- `AdjustedVolumeRegressionAlgorithm`
- `HistoryWithSymbolChangesRegressionAlgorithm`
- `OptionRenameRegressionAlgorithm`
- `RawDataRegressionAlgorithm`
- `SwitchDataModeRegressionAlgorithm`
The following regression tests have more trades since adjusted prices allowed more 1-2 shares trades that were rounded down to zero before:
- `AddUniverseSelectionModelCoarseAlgorithm` 23 -> 35
- `MeanVarianceOptimizationFrameworkAlgorithm` 12 -> 14
- `PortfolioRebalanceOnDateRulesRegressionAlgorithm` 298 -> 324
- `PortfolioRebalanceOnInsightChangesRegressionAlgorithm` 83 -> 86
- `ScheduledUniverseSelectionModelRegressionAlgorithm` 86 -> 90
- `SectorExposureRiskFrameworkAlgorithm` 17 -> 22
- `SetHoldingsMultipleTargetsRegressionAlgorithm` 8 -> 9
- `StandardDeviationExecutionModelRegressionAlgorithm` 196 -> 199
- `UniverseUnchangedRegressionAlgorithm` 11 -> 17
- `VolumeWeightedAveragePriceExecutionModelRegressionAlgorithm` 237 -> 238
Especial cases:
- `BlackLittermanPortfolioOptimizationFrameworkAlgorithm` 18 -> 17
- BLM model sensibility
- `OptionChainedAndUniverseSelectionRegressionAlgorithm`
The following regression tests have different Capacity because of different volume from lowest capacity asset, except:
- `OptionEquityCoveredCallRegressionAlgorithm` New lowest capacity asset is underlying
- `OptionEquityCoveredPutRegressionAlgorithm` New lowest capacity asset is underlying
* Revert File Update for SPWR and SPWRA
* Fix Regression Tests
Temporarily removes python regression test for `MeanVarianceOptimizationFrameworkAlgorithm` as the `MeanVarianceOptimizationPortfolioConstructionModel` for each version are yeilding different results. If we use C# version in `MeanVarianceOptimizationPortfolioConstructionModel.py`, the results match.
* Changes Optimization Method in MinimumVariancePortfolioOptimizer [Py]
Uses `trust-constr` method.
See https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.minimize.html
Jhonathan Abreu