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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.
- Classic Algorithms will emight insights based on order fills.
- To be able to update generated insights closed time, we will not
clone emitted insights.
- `InsightAnalysisContext` will update `AnalysisEndTimeUtc` when the
Insight period is closed and the period is `EndOfTimeTimeSpan`
- Adding new regression algorithm asserting on the new emitted insights
- Adding unit tests
- `LiveTradingResultHandler` will store `AlphaRunTimeStatistics`
- Making `DefaultAlphaHandler.ProcessAsynchronousEvents` virtual to
facilitate cloud changes
- Adding new `SetAccountCurrency()` for backtesting. Has to be called
before adding any `Security` or calling `SetCash()`, else will throw.
- Adding new Non account currency unit tests for `CashBuyingPower`,
`SecurityPortfolioModel`, `SecurityMarginModel`,
`SecurityPortfolioManager`, `Future/OptionMarginBuyingPowerModels`
- Adding new C# regression test using `SetAccountCurrency()`, one for
`CashBuyingPowerModel` and one for `SecurityMarginModel`
- Adding new Py and C# basic regression algorithms using
`SetAccountCurrency()`
- `Options` and `Futures` will use not use `AccountCurrency` as quote
Cash.
- `SecurityBenchmark` value will be in account currency
- `AlgorithmPythonWrapper` will now keep reference to the `OnData` and
`OnOrderEvent` `PyObject` method, giving a performance improvement,
since it does not have to resolve it in each loop.
- Moving `UniverseSelection.EnsureCurrencyDataFeeds` call into the
`IResultHandler` implementation through usage of the new `SetupHandlerHelper`
class, that will also set an initial conversion rate if none present.
- Adding regression test, that reproduces original issue
- Adding new `IAlgorithm.AccountCurrency { get; }` that will point to the
`Portfolio.CashBook.AccountCurrency`. Setter will be added in a
following PR.
- Base `Brokerage` class will now have a `AccountCurrency { get }`
pointing to the `IAccountCurrencyProvider`. Will be used by the different
brokerages implementations.
IAlgorithm exposed a means of setting the CurrentSlice but not a
means for consumers to get the value. This was because until now
all consumers were within the QCAlgorithm scope and had access to
the member variable. This change makes the CurrentSlice available
to LEAN engine code, where it's first use will be in PaperBrokerage
to detect and apply dividend distributions.
This type is just used as a container for generatd insights. Renaming in
preparation for a new InsightCollection to mirror the PortfolioTargetCollection
Martin-Molinero