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* Implement backtest self-naming and self-tagging
* Minor unit test fix
* Minor api changes
* Minor changes
* Send packet messages when algorithm's name or tags are updated
* Minor fixes
* Address peer review
* Backtest name and tags API calls
Plus, first version of CI for API tests
* Add endpoint to update a backtest set of tags
* Minor GH actions change
* Address peer review
* Add algorithm naming and tagging unit tests
* Minor backtest API changes
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* Plotting Limits Handling Improvements
- Improve the handling and enforcement of plotting limits
- Increase local default limits
* Minor plotting test fix
* Implement risk free interest rate as an algorithm model
* Use risk free insterest rate model in Sharpe Ratio indicator
* Address peer review
Also added python wrapper
* Take pyobject as interest rate model in Sharpe Ratio indicator
* Minor fix
* Minor fix
* Address peer review
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* Shortable modeling improvements
- Do not limit live trading because of shortable model, will send
algorithm warning
- Add Interactive brokers shortable provider
- Minor LocalDiskShortableProvider API changes
* Fix shorted order update
- Fix shorted order update. Updating regression algorithm
* Minor improvement
* Address reviews
* 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
* 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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* 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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* 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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- 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
* Remove and replace OnEndOfDay() ref
* Restore functionality of obsolete EOD, waiting for deprecation in August 2021
* Cleanup
* Adjustments to only post message when using obsolete EOD
* nit, extra space
* Address review
* Adjust test to reflect new behaviour
* Move GetPythonArgCount to an extension method
* Add unit test
* nit accidental import
* Refactor broken test
* Use Py.GIL() state for extension
* Adds Static AlgorithmCreationTimeout Property to BaseSetupHandler
This value will be used to set maximum time that the creation of an algorithm can take.
* Adds Additional Logging to AlgorithmPythonWrapper
It will informing the user how long it takes to import the module.
* Changes How AlgorithmCreationTimeout is Initialized
It will prevent callling Config.GetDouble on every call.
* Creates IShortableProvider interface + interface impls
* This is the foundational work for the addition of the shortable stocks
feature for backtesting and live trading. Note that the QCAlgorithm
API and the backend transaction handling will be implemented
separately.
* temp; work on preorder checks
* improve checks
* tmep
* Enforces ETB checks at BrokerageTransactionHandler
* Adds ETB Shortable Provider to QCAlgorithm and IAlgorithm
* Removes ETB check from PreOrderChecksImpl
* Removes outdated test, new test to come soon for relevant class
* Work in progress commit, pushing for review.
* Adds new regression algorithm (WIP)
* Enhances ShortableProviderOrdersRejectedRegressionAlgorithm
* Adds new methods to QCAlgorithm
* Move IShortableProvider to have BrokerageModel own it
* Comments updates
* Adds new properties to Equity Security for shortable
* Fixes bug where retrieving open order quantities would aggregate the
submitted order quantity rather than the remaining order quantity for
open orders.
* Fixes bug where quantity of zero would result in a
false positive in QCAlgorithm.Shortable(...)
* Code refactoring and comments updates
Co-authored-by: Jared <jaredbroad@gmail.com>
- AlgorithmPythonWrapper will directly call base OnFrameworkData()
implementation skipping going through python and it's overhead
- Small performance improvement for adding Tick data points into a Ticks
collection
- For python always wrap slice with PythonSlice, so that slice.Get()
works even when no custom data is present, adding test.
Since extension methods don't play well with pythonnet, this change converts
the extensions class into a decorator class. Additionally, this ObjectStore
type is the type that gets exposed via QCAlgorithm so users can access these
methods directly without requiring the use of extension methods.
This approach has many good properties. For one, it doesn't force implementors
of IObjectStore to use a base class. Second, it maintains healthy separation of
API level concerns (such as convenient methods) from the abstraction level conerns
of IObjectStore. Setting it up in this way ensures ANY implementation of IObjectStore
will still get access to these additional methods. Another thing to note is this
prevents using a base class on QCAlgorithm's public interface. Instead, we have a
specific type that is dedicated to fulfilling API level requirements, which also
provides us flexibility in the event the API needs to be updated. If it were a subclass,
you run the risk of breaking the implementors of the subclass.
- Only add OnEndOfDay ScheduledEvent if the algorithm implements the
method. Adding unit tests
- Avoid creating a new baseData instance at
`SubscriptionDataSourceReader`
- Adding static `FineFundamental` instance since creating new ones is
expensive
This commit is squashed from iterative development:
- More consistent method naming
- Storage root path updated to be absolute and include algorithm name
- Storage root path created only if object store is actually used
- Implemented XML save/load
- Added missing unit tests
- Replaced Log.Trace with Log.Error calls
- Added the object store name logging in Engine.Main
- Read storage root from config
- Create algorithm storage root folder in Initialize
- Remove empty folder in Dispose
- Added null checks in all methods
- Added missing XML parameter docs
- make Initialize and Dispose virtual
- make AlgorithmStorageRoot protected
The IObjectStore abstraction provides algorithms with a persistent
storage mechanism. While the algorithm is running, data is maintained
in memory as a dictionary of raw bytes (string -> byte[]). This ensures
we avoid any reference type shenanigans. Periodically, the data in the
object store is persisted and additionally, when the algorithm shuts
down, the object store's data will again be persisted. This ensures that
when the algorithm starts up again, it will have access to any state
that has been saved into the object store.
A great use case for IObjectStore is saving a compute heavy model.
For example, computing the weights of a deep neural network is very
CPU intensive, but after the weights are computed, evaluation is fairly
quick. An initial backtest can be used to solved for the network's weights
and then subsequent backtests or even in live mode, the weights will be
available to the algorithm provided they were saved into the object store.
Also, some libraries require a file path to load model data. The object
store provides a `GetFilePath(key)` method which will copy the data for
the provided key to the disk and return that path so the library can load
the model data.
- Replacing `BaseData.AdjustResolution` for `DefaultResolution` and
`SupportedResolutions`
- Making `Resolution` nullable for `Algorithm.AddData` methods
- The `ISubscriptionDataConfigService` will set the default resolution
if none was provided and assert it is supported
- Fix bug with `PythonData` `IsSparseData` and `RequiresMapping`
resolution
- Adding `BaseData.AdjustResolution()` that should return a valid
resolution for the given data and security type.
This allows us to set a limitation which is useful to avoid invalid data
requests or unnecessary fill forward situations. The user will be
notified through a console message.
- Adding unit and regression test
- Updating example algorithms custom data resolution
- Some performance improvements. Wont change console color if
`SelectedOptimization` is defined
- Adding `IRealTimeHandler.OnSecurityChanged()` will be used to update
the `OnEndOfDay` security related scheduled events
- Adding `BaseRealTimeHandler.cs` to reduce code duplication in the
`Backtesting` and `LiveTrading` `RealTimeHandlers`
- Adding CSharp and Python regression tests
- Deprecating `OnEndOfDay()` callback because of two reasons, mainly
because Python does not support two methods with the same name, but also
because different assets have different market close times.
- `ScheduledEvents` set at the same time will now be deterministic
- Adding _some_ of the missing PyObject.Dispose calls. In the cases
where C# is calling the Python side.
- Note that Python calls to C# code is correctly handling the
disposure of resources.
- Removing `using QCAlgorithmFramework = QuantConnect.Algorithm.QCAlgorithm`
- Removing `QCAlgorithmFrameworkBridge`
- Removing `IsFrameworkAlgorithm`
- Making `EmitInsightBasedOnFill` private. Adding new
`IOrderEventProvider` exposing an `event` to which `QCAlgorithm` will
subscribe.
- `AccountType.Cash` algorithms will be allowed to manually trade and
emight insights manually or with alpha model.