* Make statistics available at runtime to algorithms
* Re-calculate statistics on every call
* Housekeeping
* Add regression algorithms
* Address peer review
* Support for custom summary statistics at runtime
* Minor changes
* Address peer review
* Address peer review
* Minor changes
* Minor changes
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* Add SetAccountCurrency overload
- Add SetAccountCurrencyOverload to allow the user to set also account
currency quantity
- Add regression and unit tests to cover the changes
* Add regression algos
* Simplifiy SetAccountCurrency implementation
* Minor changes
* Minor changes
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* Implement Trailing FreePortfolioValue
- Implement Trailing FreePortfolioValue by default, users will be able
to set it to a fixed number if desired. Adding regression algorithm
- Setting the default 'MinimumOrderMarginPortfolioPercentage' from 0 to
0.1% of the TPV to avoud tiny trades by default
* Update existing regression algorithms
* Address reviews
- Send warning message to the user if a trade does not happen due to the
default setting of the minimum order margin percentage value
* Address reivews
* Rename TotalPortfolioValueLessFreeBuffer
* Update new regression algorithm
* Minor fix CrunchDao Symbology
- Minor fix for CrunchDao Symbology. Updating existing tests
* Add missing symbol mapping
- Add IAlgorithm.Ticker(Symbol) functionality which will return the
latest ticker for the requested symbol at the current algorithm time
- SignalExporters will use Ticker to get the current symbol ticker
* Rename SecId GetTicker to Ticker
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* Implement Unregister helper method
- Implement Unregister helper method, each indicator which hold a
reference to the consolidators updating it. Adding regression
algorithms
* Fix for QuantBook indicators
* Address reviews
* Add support for brokerage side new orders
- Add support for brokerage side new order events for liquidation cases
* Minor cash delta fix
* Improve account cash logging
* Fix null reference exception for open orders
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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
* 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
* Solve bugs and nit change
* Address review
---------
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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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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* Add Collective2SignalExportClass
Add SignalExportTarget interface
* Collective2SignalExport test working
Add SignalExportManager
Add draft of CrunchDAOSignalExport
* Modify SignalExportManager
Instantiate SignalExportManager in QCAlgorithm constructor
Draft of CrunchDAOSignalExport
* Improve SignalExportManager
- Add regression tests SignalExportDemonstrationAlgorithm in C# and
Python
* Improve SignalExportDemonstrationAlgorithm
Address requested changes in Collective2SignalExport, SignalExportManger and SignalExportTargetTests.cs
* Add CrunchDAOSignalExport.cs
Add CrunchDAOSignalExport unit tests in SignalExportTargetTests.cs
* Add NumeraiSignalExport.cs
Modify SignalExportDemonstrationAlgorithm.cs to test NumeraiSignalExport
Add unit test in SignalExportTargetTests to test NumeraiSignalExport
* Address required changes
- Add BaseSignalExport.cs
- Add SignalExportParameters.cs
- Add PortfolioSignalExportDemonstrationAlgorithm.cs/py
- Improve Error handling in SignalExport provider classes
- Collective2SignalExport now gets the correct number of shares for each holding
- SignalExportManager now computes the correct holding percentage of each portfolio target
- SignalExportManager now takes into account if the algorithm is in live mode
- Demonstration algorithms now are more simple
* Address last required changes
- PortfolioSignalExportDemonstrationAlgorithm.cs/py now inherits from SignalExportDemonstrationAlgorithm.cs/py
- Add more unit tests to assert SignalExportManager gets the correct percentage quantity for each holding
- Change Collective2SignalExport, CrunchDAOSignalExport and NumeraiSignalExport Send() method to return true if there was no error while sending the signals and false otherwise
- Nit changes
* Remove exceptions thrown
- Add more unit tests and more test cases
- Enhance BaseSignalExport.Dispose() method
* Add Collective2SignalExportClass
Add SignalExportTarget interface
* Collective2SignalExport test working
Add SignalExportManager
Add draft of CrunchDAOSignalExport
* Modify SignalExportManager
Instantiate SignalExportManager in QCAlgorithm constructor
Draft of CrunchDAOSignalExport
* Improve SignalExportManager
- Add regression tests SignalExportDemonstrationAlgorithm in C# and
Python
* Improve SignalExportDemonstrationAlgorithm
Address requested changes in Collective2SignalExport, SignalExportManger and SignalExportTargetTests.cs
* Add CrunchDAOSignalExport.cs
Add CrunchDAOSignalExport unit tests in SignalExportTargetTests.cs
* Add NumeraiSignalExport.cs
Modify SignalExportDemonstrationAlgorithm.cs to test NumeraiSignalExport
Add unit test in SignalExportTargetTests to test NumeraiSignalExport
* Address required changes
- Add BaseSignalExport.cs
- Add SignalExportParameters.cs
- Add PortfolioSignalExportDemonstrationAlgorithm.cs/py
- Improve Error handling in SignalExport provider classes
- Collective2SignalExport now gets the correct number of shares for each holding
- SignalExportManager now computes the correct holding percentage of each portfolio target
- SignalExportManager now takes into account if the algorithm is in live mode
- Demonstration algorithms now are more simple
* Address last required changes
- PortfolioSignalExportDemonstrationAlgorithm.cs/py now inherits from SignalExportDemonstrationAlgorithm.cs/py
- Add more unit tests to assert SignalExportManager gets the correct percentage quantity for each holding
- Change Collective2SignalExport, CrunchDAOSignalExport and NumeraiSignalExport Send() method to return true if there was no error while sending the signals and false otherwise
- Nit changes
* Remove exceptions thrown
- Add more unit tests and more test cases
- Enhance BaseSignalExport.Dispose() method
* Fix failing regression tests
* Fix failing unit tests
* Nit changes
* Nit change
* Nit change
* Fix failing unit tests
* Changes required
- Break regression algos `SignalExportDemonstrationAlgorithm.cs/py` nad `PortfolioSignalExportDemonstrationAlgorithm.cs/`y` into three ones, one for each signal export provider
- Change SignalExportManager constructor to receive current algorithm as a parameter
- Fix bug in `SignalExportManager.GetPortfolioTargets()`, now it computes the correct percentage for each holding
- Make `BaseSignalExport.DefaultAllowedSecurityTypes` overrdible
- Handle case were `Collective2SignalExport.ConvertPercentageToQuantity()` returns null
- Clean unnecessary code in `Collective2SignalExport()`, `CrunchDAOSignalExport()` and `NumeraiSignalExport()`
* Nit change
* Nit change
* Minor tweaks after review
* Remove indexes from signal exports
* Required changes
- Change EMA indicators period from 200, 300 to 10,100 in regression algorithms
- Remove Indices from regression algorithms
- Add more XML documentation to regression algorithms
- Change `Log.Error` to `_algorithm.Error` in Signal export providers. Besides, fix error message format
- Change default value for `platformId` parameter in `Collective2SignalExport.cs` constructor
- Solve small bugs in SignalExportProvider when verificating the amount of porfolio targets is greater than zero and each portfolio target is allowed
- Handle case when `PortfolioTarget.Percent()` returns null in `Collective2SignalExport.ConvertPercentageToQuantity()`
- Handle error format message from Collective2 API
- Check every ticker signal is between 0 and 1 (inclusive) in `CrunchDAOSignalExport.cs`
- Modifiy `NumeraiSignalExport.cs` constructor to take into account filename given in the arguments
- Fix small bug with the return value of `ConvertTargetsToNumerai()` method in `NumeraiSignalExport.cs`
- Modify `SignalExportManager.cs` to return true when the algorithm being ran is not in live mode
- Remove indices from CrunchDAO unit tests
* Enhance ´CrunchDAOSignalExport.cs´ implementation
---------
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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* Refactor alpha statistics
- Refactor alpha statistics, cleaning up and simplifying no longer required calculations and scoring
- Adding new InsightEvaluator abstraction, adding C# & PY regression
algorithms
* Optimization backtest result json converter update
* Address reviews
- Remove IAlphaHandler, move insight storage responsability to IResultHandler
and centralizing insight collection on the QCAlgorithm.Insights to be
reused by the framework models
- Fix portfolio turnover single day backtests and duplicate time
sampling handling. Updating regression algorithms
* Add InsightCollection tests and minor fixes
* Adding more & improved tests
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* Expand Index option support
- Adjust APIs so that the same underlying can be used
for different options, adding support for SPX weekly options. Adding
regression tests
* Fix IndexOption.IsStandard
* Add IndexOption test
* Feature combo orders
- Add support for combo orders
* Make fill model wait for all grouped orders to emit fills
* Add ComboFill to model multiple fills for combo orders
* Fill combo limit orders
Add some regression algorithms
* Add fill implementation for combo leg limit orders
* Add IFill as common interface for Fill and ComboFill
* Refactor combo orders removing IGroupOrder interface
Move the group order manager to the base Order class
* Update algorithms
* Handle combo order events atomically
* Refactor brokerage transaction event handler
* Refactor combo fill models
* Process fills in batch
* Combo orders fill model tests
* Combo leg limit orders algorithm
* Regression algorithms cleanup
* Fill and combo fill classes cleanup
* Housekeeping
* Refactor equity fill model to derive from base fill model
* Address review changes request
* Handling the new types of orders in the OrderJsonConverter
* Add regression algorithm to test combo orders update/cancel
* Add regression algorithm to test combo orders update/cancel
* Housekeeping
* Address review changes request
* Minor changes
* Security transaction handler method for setting order request id
* Extend public interface for placing combo orders
* Combo order tickets demo algorithm python version
* Tweaks and updates
* Minor fixes
* Minor changes
* Minor fixes
* Address reviews minor fixes
* Minor fixes
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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* Data monitor (FIRST TEST)
* Calculate data request frequency in data monitor
* Detecting universe data usage in data monitor
* Json data monitor report generation
* Data monitor refactor
* Log and store data monitor report
* Data monitor report tests
* Clean up
* Clean up
* Address changes request
* Address changes request
* Wire data monitor only for backtest, not for live or research
* Minor tweaks
* Some minor tweaks
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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- Create SubmitOrderRequest method in algorithm API to reduce
duplication of code and responsability.
- Add order command tests for different failure and success cases
- Fix null reference exception in equity fill model, when there is no
data for an asset.
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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
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* Respect warmup resolution given
- The data feed will respect the warmup resolution given and override
the resolution used by the algorithm when adding a subscription.
Updating regression algorithm to keep previous statistics. Adding new
regression algorithm asserting the desired behavior
* Testing improvements
- Add more unit tests and regresion test
- Add missing data for crypto
- Fix bug with FFed data crossing after the end time of the warmup
request
* Add more Warmup resolution regression algorithms
- Adding more warmup resolution regression algorithms, using
Settings.WarmupResolution and an option selection case
* Add more warmup regression tests
- Adding more warmup regression tests.
- Will no longer skip universe selection subscriptions from warmup
resolution enforcement. Updating regression algorithms data points
* Fix bug with data rounding
- Fix data rounding bug when warmup resolution is set to a different
value than the original configuration. Updating regression algorithms
to assert the expected behavior
* Address reviews
- Revert regression algorithms changes to use Resolution during warmup.
Updating their stats.
- Adding new regression algorithms asserting the behavior warming up
using a timespan and no warmup resolution
- Fix bug where data used to warmup the 'normal' enumerator will make it
through into the warmup time span. Updating tests
* Address reviews
- Add missing comments, explaning warmup algorithms time span
calculations.
- Revert changes in existing `WarmupOptionTimeSpanRegressionAlgorithm`
to reduce diff to minimum
- Adding new warmup unit tests asseting algorithm warmup start time, for
different combinations of bar count, timespan, resolution
* add data count properties
* 'add history count property
* assert data counts
* update missing override
* consider override/virtual cases
* implement data count
* add message handler for regression tests
* use regression test message handler
* set algorithm manager for regression test message handler
* update data count
* check if stats are present, check if algo manager is not null
* update
* add c# algo
* make same as c# algo
* use new line
* logic shifted to RegressionTestMessageHandler
* cleanup
* auto cleanup
* skip non deterministic data count
* change data count
* use inheritance
* improve stats
* update couht
* add sma indicator to c# and customSMA to python
* call base method before executing further
* skip test
* revert to original
* add duplicate sma
* skip regression test
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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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* Move Optimizer-related DTOs and JSON converters into Common/Optimizer
* Add REST methods for Optimization
* Move OptimizationStatus into Common
* Change optimizationId parameter type to string
* Update Optimization and add lightweight optimization object
* Rename lightweight optimization to BaseOptimization and remove unneccessary properties
* Remove snapshotId from Optimization, add ParameterSet to Backtest
* Add missing IApi.cs method signatures
* Move ParameterSet into Common
* Replace Backtest with OptimizationBacktest
* Update UpdateOptimization to not include null or empty name and layout params in the request
* Change Objective targetTemplate regex pattern from ['(.+)'] to (.+) to prevent escaping target strings without whitespace
* Return Estimate object when calling EstimateOptimization
* Use DefaultNamingStrategy when serializing constraint operators
* Revert "Change Objective targetTemplate regex pattern from ['(.+)'] to (.+) to prevent escaping target strings without whitespace"
This reverts commit fbe7de0fd77dccc62e8c52c42a4ec9c18347acb2.
* Update Api method signatures
* Add unit tests
* Fix XML comment referring to the old class name
* Fix XML summary for OptimizationResponseWrapper
* Address review feedback
- Remove unused testOrganizationId
- Change NodeType from string to NodeType enum
- Clarify unit types for Estimate time and balance
- Simplify JsonConverter classes
* Add accessors to Common/Api classes
* Define performance metrics names in PerformanceMetrics class
* Remove unnecessary branching logic from GetSeriesValues method
* Add crefs and examples to XML comments in the Api class
* Revert "Change NodeType from string to NodeType enum"
* Remove layout param from UpdateOptimization method
* Backtest property ParameterSet should be of type ParameterSet
* Add asserts for deserialization in OptimizationBacktestJsonConverterTests
* Replace the three target-related properties with Criterion
* Add serialization and deserialization tests for Optimization
* Remove Optimization Serialization test
* Add EstimateDeserialization test
* Add asserts for integration tests
* Address self review
* Revert test case
* Update Nodes.cs
* Update Nodes.cs
* Set Aborted status when Optimization fails to start
* Add ParameterSetJsonConverter and ParameterSetJsonConverterTests
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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* Move processing of delistings to Brokerage
* Deal with case that exchange is not open on OptionSymbol.ID.Date
* Refactor solution to use DelistingNotification event
* Adjust some regression expected liquidation time
* Mark some todos on deprecated functions
* Update expected liqudation time for Py regressions
* Update regressions that have been validated
* Use HandlePositionAssigned for assignment orders
* Update regressions
* Update some missed unit tests; remove one that is already covered by regression
* Cleanup deprecated backend functions
* nit - small cleanup adjustment
* Post rebase fix
* Address review
* Minor tweak to py regression
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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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* Add basic template Atreyu algorithm
- Add C# and Python basic template atreyu algorithm. Show casing how to
specify exchange to execute in different ways.
- Adjust trading API to allow specifying order properties to use
* Lean Exchange improvements
- Rename PrimaryExchange to Exchange
- OrderPropeties will use Exchange enum instead of string
- Adding BSE exchange value
* Regression tests fixes
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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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* Filter out small orders based on Setting
- BuyingPowerModel will filter out small orders based on algorithm
setting, a % of PTV, instead of hard coded 1 share value. Addin unit
and regression tests
- Updating regression algorithms to use new setting, reduce order trades
* Update regression algorithms
* added symbolData class to store exchange and token values of tickers
* support for India Market
(cherry picked from commit 5f629dcb9e72426dc7b560e782cb1fae72861574)
* removed local vscode workspace file
* support for india market instead of nse and other exchanges
* changed hardcoded india values to Market.India
* changed zerodha getcash fromm available to net
* addded edge case handoing with expections
* support for market info (nse, bse) for india market
* exchange info for EmitQuoteTick
* basic testing with c#
* c# algo
* c# testing
* live orders during market open success
* support orderproperties for exchange value for order placement
* added exceptional handling cases
* fix xml descriptions for the files
* fix zerodha-product-type in DefaultOrderProperties
* add basic template for india market
* fix orderProperites for default values
* fix for local data, python implementation not available
* fix access modifiers of SymbolData
* fix variable name case
* fix single check for exchange, call to base
* fix styling, redundent code and access modifers
* fix non static not callable from static
* fix static
Regression Tests / build (push) Has been cancelled
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- Add new CompositeDataProvider that will wrap multiple instance. Allows
using for example the ApiDataProvider and a DownloaderDataProvider.
- Adjusting ProductJsonConverter after recent Modules addition
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* Use lean data key as param for request
* key -> filePath rename and some cleanup
* Refactor
* Add Organizations Endpoints
* Add some organization api wrapper objects
* Address namespace issue
* Reorganize Api Test into seperate files using one ApiTestBase
* Add Organization tests
* Use capitalized "API" test namespace to reduce amount of file changes
* Add License to test base
* Update /data endpoint functions and response objects
* Update ApiDataProvider Logic
* Handle deserialization of organization products
* Simplify converter
* Only throw for equity requests when not subscribed to map/factor files
* Add missing header
* Make arguement exception
* Api adjustments
* Add Zip factor and map file providers
- Common project will now reference Compression project and not the other way
round.
- Adding Zip FactorFile and MapFile providers
* Refactor FactorFileProvider to use DataProvider to fetch files
* Use resulting MinimumDate in construction of FactorFile
* Nit FactorFile comments and arrangement
* Refactor MapFileProviders to use DataProvider for fetching files
* Refactor ZipFileProvider
* Clean up
* Refactor Backtesting Future/Option chain providers to use dataprovider
* Fixes for data/ endpoints and test adjustments
* Response objects adjustments/cleanups
* ApiDateProvider fixes and testing
* Add LocalZipFactorFileTests
* Update ApiDataProvider download test to verify stream is not null
* Implement posting of agreement summary and signed time
* Mark all Api related tests as explicit and document details on running
* Clarify default token on ApiTestBase
* Adjust summary
* Update Api responses for QCC, except org products which are sold in USD
* Implement cache expiration for zip MapFile and FactorFiles. Adding unit tests
* Fix multiple markets for ZipFactorFile provider
* Use Symbol as cache key
* Api.cs review
* Dispose of factorFileStream after reading
* Use zip.EntryFileNames
* Address a few reviews
* Few more fixes
* Address Api Review
* Add Job Org id to config
* Minor tweaks
* Compare with invariant culture
* Fixes Option Universe selection
* ZipEntryNameSubscriptionDataSourceReader will use IDataProvider
* Fix research
* Fix null reference exception
* Make duplicate log debug
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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* Do not restrict unrequested securities by 1.0m leverage, let security initializer do its job
* Use UniverseSettings for leverage, fillforward, and extendedmarkethours
* Update unrequested security message
* Use UniverseSettings ExtendedMarketHours for underlying on OptionContracts
* Add unit test to prove setting persistence
* Cleanup unit test
* Adjust crypto unit test assert
Co-authored-by: Colton Sellers <Colton.R.Sellers@gmail.com>
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
Jhonathan Abreu