* Fix HistoryRequest DataMappingMode default to use security configuration
* Solve review comments
* Make HistoryRequest inherit existing subscription configuration values generically
* Exclude any class that inherits from BaseChainUniverseData
* Reuse existing filter for user configuration
* Solve review comments
* Normalize DataMappingMode
* Minor fix
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* Add SeedInitialPrices algorithm setting
This is true by default and indicates that the engine will seed initial prices right after the security is added or selected
* Update regression algorithms
* Update regression algorithms
* Update regression algorithms
* Refactor default securities seeding
* Minor fix
* Minro fixes
* Cleanup
* Updated and add regression algorithms
* Address peer review
* Centralize logic to get last known data for multiple securities
* Some cleanup
* Minor build fix
* Minor fixes
* More logic centralization
* Some more cleanup
* Cleanup
* Update regression algorithms and minor fixes
* Update regression algorithms
* Minor fix
* More minor fixes
* Update regression algorithms
* Cleanup
* Minor test fix
* Address peer review
* Minor fix and performance improvement
* Fix to seed open interest data
* Minor test fixes
* Address peer review
* Minor change
* Minor revert
* Minor fixes and improvements
* Disable initial seeding by default
* Minor fixes
* Cleanup
* Cleanup
* Minor fix
* Fix extended hours only days period history
Don't include extended hours only days in date range calculated fro period history request
* Add comments
* Cleanup
* Revert some changes
* Cleanup
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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
* Trigger Build
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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
* Trigger Build
* Trigger Build
* 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
* Trigger Build
* Trigger Build
* Minor fix
* Minor fix
* Trigger Build
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* Add logs to ProcessedDataProvider
* Removed test logs
* Minor fix
* Support downloading options and futures universe files from api data provider
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* Cache registered custom python security and universe data types
Use this cache to get the correct config for history requests since pythonnet will always pass PythonData and we lose reference to the actual Python type
* Use local repo data for unit tests
* Move unit tests to algorithm history tests
* Use UniverseManager instead of CacheCustomPythonDataType
* Add regression algorithms
* Update regression algorithms to solve issues
* Update regression test and History
* Updated source path to avoid issues with linux
---------
Co-authored-by: Jhonathan Abreu <jdabreu25@gmail.com>
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* Refactor GetMatchingSubscriptions:
- Fixed retrieval of minute-resolution quote data for hour-resolution
equity
- Ensured correct retrieval of data regardless of equity resolution
- Created a unit test to verify functionality
* Update unit test and create test cases
* Add new unit test
* Addressed review comments
* 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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* Adjust lower-resolution fill-forwarded daily bars when strict end times is enabled
This allows to get fill-forwarded bars with unchanged time stamps
* Minor fixes
* Minor test data changes
* Fixes and comments
* Address peer review and add some fixes
* Minor fix and add regression algorithm
* Minor fix
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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
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* Fix option universe
Set right time using exchange time zone when reading.
Remove OptionUniverse market hours hack in GetEntry extension method.
* Minor change
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* feat: sort property in SubscriptionDataSource
* refactor: read lines (with sort opportunity) in TextSubscriptionDataSourceReader
* refactor: xml description of Sort property in SubscriptionDataSource
* revet: TextSubscriptionDataSourceReader changes
* feat: develop UnsortedTextSubscriptionDataSourceReader
* remove: UnsortedTextSubscriptionDataSourceReader
* feat: develop SortEnumerator
feat: use SortEnumerator in SubscriptionDataReader
* revert: TextSubscriptionDataSourceReader changes
* feat: use sort Enumerator in LiveCustomDataSubscriptionEnumeratorFactory
* test:feat: Unsorted Live Data Feed with using Object Store
* test:feat: history CustomData request with unsorted data
* refactor: develop TryWrapper on SortEnumerator
* remove: extra spacing
* refactor: Sort in SubscriptionDataSource
* feat: add RegressionAlgorithms when source return data in Descending format
* refactor: xml description of prop Sort in SubscriptionDataSource
* refactor: SortEnumerator
* test:refactor access modifier in ExampleCustomDataWithSort
* test:refactor: increase performance LiveDataFeedSourcesDataFromObjectStore
* feat: add xml comment of regression algorithm
* test:revert: access modifier to public in internal test class
* test:refactor: use while instead of timer
* Revert "test:refactor: use while instead of timer"
This reverts commit 4fe43da8094df366f7ae4b361c97a4a14b815c32.
* 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>
* Infer data type from configs in bar count history requests
* Infer data type from configs in bar count history requests
* Minor changes
* Minor fix
* Cleanup
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* Default daily precise end times
- Enable by default daily precise end times. Updating stats
- Minor fix for algorithm manager consolidator updates, adding new regression test
asserting behavior and updating others
- Minor fix for SubscriptionData creator avoid round down on warmup if
not appropiate
- Adjust consolidators to emit on daily strict end times if requested
daily resolution and setting enabled
- Updating regression algorithms
* Skip daily data on extended market hours
* Some cleanup and self review
* Revert unrequired change
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* Improve indicator warmup
- Allow indicator warmup to handle multiple symbols, used for option
greeks. Adding regression test
- Improve indicator history to handle specific T types. Adding unit test
- Remove period, and historical underlying volatility, from IV so
simplify warmup behavior
* Address review, fix minor issues
* Add algorithm unit tests
* Add Brokerage unit tests
* Add Common unit tests
* Fix unit test bugs
* Add remaining unit tests
* Address requested changes
* Address requested changes
* Fix failing unit test
* Address requested changes
* 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
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* Portfolio state chart
- Cleanup and renames
- Add series.IndexName. Uodating unit tests
- Add Chart.LegendDisabled. Adding new unit tests
- Add ChartPoint.Tooltip. Updating unit tests
- Minor compression tweak. Adding unit test
- Add ChartJsonConverter. Adding unit tests
* Minor chart serialization order tweak
* Refactor portfolio state sampling and storing
* Move PortfolioMargin into a lean side chart
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* Update Future-cme-[*] and Future-cme-ES
Acoording to `pandas_market_calendars` there were some dates in
Future-cme-[*] who wasn't early_closes, so they needed to be removed
from there. On the other hand, the early closes list of Future-cme-ES were
shifted by 1 hour according to CME webpage. Besides, there were some
missing dates.
* Update CME Future entries in MHDB
* Rebase
* nit change
* Fix unit tests
* Resume after early close/halts
* Add missing dates in MHDB and fix bugs in it
* Fix bug, add more unit tests and add docs
* fix regression algos
* address required changes
* Update failing regression test stats
After debugging the tests it was found they were failing due to the last
change on SecurityExchangeHours.IsOpen(). That method wasn't taking into
account that even if there is a late open after an early close if the
timespan is after the early close but before the late open, the market
is still close.
* enhance solution
* Update and fix bugs in MHDB
* Address required changes and update stats
* Update stats after rebase
* Nit change
* Missing update to regression test
* Use MHDB instead of USHoliday for Expiration Dates
VIX expiry function now relies completely on MHDB. However, it had to be
created an entry in MHDB for VIX since there wasn't one for it. CBOE
webpage only provided 2023 holidays so only those dates were considered
in the Holidays entry in MHDB. Therefore, some unit tests failed so it
was necessary to change also the VIX entry in FuturesExpiryFunctionsTestData.xml.
* Remove Global.cs/USHolidays class
* Use a lazy implementation
* First draft of the solution
* Use MHDB in FuturesExpiryFunctions.cs
* Remove unused class and fix indentation errors
* Fix indentation errors
* Nit changes
* Merge branches 7501 and 7506
* Merge changes in 7501 and 7506
In order to check compatibility between those branches, a new branch
was created out of branch 7501 and then it was merged with branch 7506.
2 regression tests and 8 unit tests failed, the regression tests failed on
the DataPoint stats. On the other hand, the unit tests failed since the
default parameter UseEquityHoliday was removed from
FuturesExpirtyUtilityFunctions.AddBusinessDays() and from other methods in
the same class too.
* Add missing changes
* Remove repeated good fridays
* Address minor review
---------
Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
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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
* Set default always open market hours entry for base security without subscription
Also return proper matching subscription for custom data symbols wihtout subscription.
* Minor changes
* Minor change
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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
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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
* MHDB will merge common entry
- The MHDB will merge the market and security common entry holidays,
early closes and late opens
* Normalize & reuse future US holidays
- Normalize & reuse future US holidays
* Update existing unit tests expected stats
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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
* 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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* 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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* Apply splits and dividends to volatility models
* Apply splits and dividends to volatility models using history requests
* Add new ScaleRaw data normalization mode
Handling the new mode in the price scale enumerator.
* DataNormalizationMode.ScaledRaw history requests
* Minor changes
* Minor changes
* Disable new normalization mode in AddSecurity methods and other minor changes
* Peer review
* Minor changes
* Peer review
* Minor changes
* Peer review
* Peer review
* Peer review
* Add scaled raw history regression algorithm
* Add more regression algorithms
* Add more regression algorithms
* Add Slice.TryGet unit tests
* Peer review
* Peer review
* Peer review
* Peer review
* Peer review
* Update algorithms stats
* Peer review
* Peer review
* Custom data type history request in python
* Potential solutions
* Minor changes
* Use Slice.Get(Type) for getting python custom data history
* Minor changes
* Add unit tests
* Add unit tests
* Udpdate regression algorithms
* Peer review
* Peer review
* Add research regression tests
* Minor changes
* Minor changes
* Minor tweaks
---------
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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* Get history of a given bar type in python
* Separate GetDataFrame in sub methods to avoid dynamic type resolution
* Housekeeping and unit tests update
* Use all requests in python type method history method
* Address changes request
* Reverted some requested changes
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* Support extended market hours in AddFuture()
* Support extended market hours in AddFutureContract()
* Add C# regression algorithm
* Add Python regression algorithm
* Add regression algorithm for future contracts
* Add regression algorithm checking market hour ranges
* Fixed future regression algorithms to use extended market hours
* Fixed future regression algorithms to use extended market hours
* Fixed future regression algorithms to use extended market hours
* Fixed AddFutureOptionContractFromFutureChainRegressionAlgorithm to use extended market hours
* Update future market hours to include extended in market hours database
* Fixed AddFutureOptionContractDataStreamingRegressionAlgorithm to use extended market hours
* Fixed AddFutureOptionContractFromFutureChainRegressionAlgorithm to use extended market hours
* Fixed AddFutureContractWithContinuousRegressionAlgorithm to use extended market hours
* Fixed BasicTemplateContinuousFutureAlgorithm to use extended market hours
* Fixed BasicTemplateFuturesAlgorithm to use extended market hours
* Fix BasicTemplateFuturesDailyAlgorithm to use extended market hours
* Fixed BasicTemplateFuturesFrameworkAlgorithm to use extended market hours
* Fixed BasicTemplateFuturesHistoryAlgorithm to use extended market hours
* Fixed ContinuousBackMonthRawFutureRegressionAlgorithm to use extended market hours
* Fixed ContinuousFutureBackMonthRegressionAlgorithm to use extended market hours
* Fixed ContinuousFutureHistoryRegressionAlgorithm to use extended market hours
* Fixed ContinuousFutureLimitIfTouchedOrderRegressionAlgorithm to use extended market hours
* Fixed ContinuousFutureRegressionAlgorithm to use extended market hours
* Fixed DelistedFutureLiquidateRegressionAlgorithm to use extended market hours
* Fixed AutomaticIndicatorWarmupDataTypeRegressionAlgorithm to use extended market hours
* Fixed ConsolidateRegressionAlgorithm to use extended market hours
* Fixed DelistingFutureOptionRegressionAlgorithm to use extended market hours
* Fixed EqualWeightingPortfolioConstructionModelFutureRegressionAlgorithm to use extended market hours
* Fixed FutureContractsExtendedMarketHoursRegressionAlgorithm to use extended market hours
* Fixed FutureMarketOpenAndCloseRegressionAlgorithm to use extended market hours
* Fixed FutureMarketOpenConsolidatorRegressionAlgorithm to use extended market hours
* Fixed FutureOptionBuySellCallIntradayRegressionAlgorithm to use extended market hours
* Fixed FutureOptionCallITMExpiryRegressionAlgorithm to use extended market hours
* Fixed FutureOptionCallITMGreeksExpiryRegressionAlgorithm to use extended market hours
* Fixed FutureOptionCallOTMExpiryRegressionAlgorithm to use extended market hours
* Fixed FutureOptionDailyRegressionAlgorithm to use extended market hours
* Fixed FutureOptionHourlyRegressionAlgorithm to use extended market hours
* Fixed FutureOptionMultipleContractsInDifferentContractMonthsWithSameUnderlyingFutureRegressionAlgorithm to use extended market hours
* Fixed FutureOptionPutITMExpiryRegressionAlgorithm to use extended market hours
* Fixed FutureOptionPutOTMExpiryRegressionAlgorithm to use extended market hours
* Fixed FutureOptionShortCallITMExpiryRegressionAlgorithm to use extended market hours
* Fixed FutureOptionShortCallOTMExpiryRegressionAlgorithm to use extended market hours
* Fixed FutureOptionShortPutITMExpiryRegressionAlgorithm to use extended market hours
* Fixed FutureOptionShortPutOTMExpiryRegressionAlgorithm to use extended market hours
* Fixed FuturesAndFuturesOptionsExpiryTimeAndLiquidationRegressionAlgorithm to use extended market hours
* Fixed FuturesExpiredContractRegression to use extended market hours
* Fixed FutureSharingTickerRegressionAlgorithm to use extended market hours
* Fixed HistoryWithDifferentContinuousContractDepthOffsetsRegressionAlgorithm to use extended market hours
* Fixed HistoryWithDifferentDataMappingModeRegressionAlgorithm to use extended market hours
* Fixed HistoryWithDifferentDataNormalizationModeRegressionAlgorithm to use extended market hours
* Fixed LimitOrdersAreFilledAfterHoursForFuturesRegressionAlgorithm to use extended market hours
* Fixed OpenInterestFuturesRegressionAlgorithm to use extended market hours
* Fixed RegisterIndicatorRegressionAlgorithm to use extended market hours
* Fixed SetHoldingsFutureRegressionAlgorithm to use extended market hours
* Fixed WarmupFutureRegressionAlgorithm to use extended market hours
* Fixed AddFutureOptionSingleOptionChainSelectedInUniverseFilterRegressionAlgorithm to use extended market hours
* Fixed AlgorithmHistoryTests to use extended market hours for futures
* Fixed AlgorithmTradingTests to use extended market hours for futures
* Fixed BrokerageSetupHandlerTests to use extended market hours for futures
* Fixed TimeRulesTests to use extended market hours for futures
* Fixed FutureOptionMarginBuyingPowerModelTests to use extended market hours for futures
* Fixed FutureMarginBuyingPowerModelTests to use extended market hours for futures
* Fixed FileSystemDataFeedTests to use extended market hours for futures
* Fixed QuantBookHistoryTests to use extended market hours for futures
* Split BasicTemplateContinuousFutureAlgorithm to have an extended market version
* Fixed FutureMarketOpenAndCloseRegressionAlgorithm to use extended market hours
* Split BasicTemplateFuturesAlgorithm to have an extended market version
* Split BasicTemplateFuturesAlgorithm to have an extended market version
* Split BasicTemplateFuturesFrameworkAlgorithm to have an extended market version
* Split BasicTemplateFuturesHistoryAlgorithm to have an extended market version
* Revert AddFutureContractWithContinuousRegressionAlgorithm
* Revert AddFutureOptionContractDataStreamingRegressionAlgorithm and added data
* Revert AddFutureOptionContractFromFutureChainRegressionAlgorithm
* Revert AddFutureOptionSingleOptionChainSelectedInUniverseFilterRegressionAlgorithm
* Revert ConsolidateRegressionAlgorithm
* Revert Algorithm.CSharp/ContinuousBackMonthRawFutureRegressionAlgorithm.cs
* Revert ContinuousFutureBackMonthRegressionAlgorithm
* Revert ContinuousFutureHistoryRegressionAlgorithm
* Revert ContinuousFutureLimitIfTouchedOrderRegressionAlgorithm
* Revert ContinuousFutureRegressionAlgorithm
* Revert Algorithm.CSharp/DelistedFutureLiquidateRegressionAlgorithm.cs
* Revert EqualWeightingPortfolioConstructionModelFutureRegressionAlgorithm
* Split FutureMarketOpenAndCloseRegressionAlgorithm to have an extended market version
* Split FutureMarketOpenConsolidatorRegressionAlgorithm to have an extended market version
* Revert FutureOptionBuySellCallIntradayRegressionAlgorithm
* Revert FutureOptionCallITMExpiryRegressionAlgorithm
* Revert FutureOptionDailyRegressionAlgorithm
* Revert FutureOptionPutITMExpiryRegressionAlgorithm
* Revert FutureSharingTickerRegressionAlgorithm
* Revert FuturesAndFuturesOptionsExpiryTimeAndLiquidationRegressionAlgorithm
* Revert FuturesExpiredContractRegression
* Revert HistoryWithDifferentContinuousContractDepthOffsetsRegressionAlgorithm
* Revert HistoryWithDifferentDataMappingModeRegressionAlgorithm
* Revert HistoryWithDifferentDataNormalizationModeRegressionAlgorithm
* Revert OpenInterestFuturesRegressionAlgorithm
* Revert RegisterIndicatorRegressionAlgorithm
* Revert SetHoldingsFutureRegressionAlgorithm
* Revert WarmupFutureRegressionAlgorithm
* Revert AutomaticIndicatorWarmupDataTypeRegressionAlgorithm
* Some cleanup
* Address changes request
* Address changes request
* Add more Class III Milk data to fix DelistingFutureOptionDailyRegressionAlgorithm
JosueNina