- We will now check if python selection method returned `Universe.Unchanged`
- Removing `ToList()` call on fine and coarse data before sending it to
the python algorithm
- Adding regression algorithms
In order to provide full Lean Indicator functionality to python custom indicators, they need to inherit from a C# class. `PythonIndicator` will serve for this purpose.
Algorithms can use the former version (no inheritance).
In order to add support custom python indicators for `QCAlgorithm.PlotIndicator`, we created a `PythonIndicator` class that wraps the custom python indicator. In `QCAlgorithm`, the reference of the wrapper is saved into a dictionary keyed by the python indicator handle.
- 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
- For backtesting the algorithm thread will sequentially process pending
order requests
- Adding new non blocking `BusyCollection`
- Updating `UpdateOrderRegressionAlgorithm` that suffered of a race
condition: it supposed `OnOrderEvent` would be called after the call to
`Transactions.AddOrder()` was finished
File had hard-coded references and calls to Python Tools for Visual Studio. This PR removes these.
Algorithm tested and runs in online QuantConnect deployment of LEAN.
New custom data class USEnergyInformation with new demonstration algorithms, the updated config file for users to set their EIA token.
Adds `CloseTime` to represent the time that the data period end. `EndTime` represents, in turn, the time the data is emitted. There is an offset between `CloseTime` and `EndTime` that is defined by the difference between the last bar as emitted and its time.
In live mode, if the `USEnergyInformation.Reader` returns null, the `CollectionSubscriptionDataSourceReader.Read` method will pull for new data constantly. Therefore it should return an empty `BaseDataCollection` object.
- Removes `UniverseSettings.DataNormalizationMode` (it will ne addressed in a dedicated issue: https://github.com/QuantConnect/Lean/issues/3082)
- Adds examples/tests for Tick resolution, Forex (QuoteBar data) and Custom data.
- Tick resolution is not allowed: logs a message
- Custom data example/test added in `CustomDataNiftyAlgorithm`
- Adds support for ATR and VWAP since they are, respectively, a bar and a trade bar indicator.
- Adds consolidators to handle difference between data resolution and indicator resolution.
Replaces Enum `CalendarType` for static class with the same name. This class defines two properties (`Weekly` and `Monthly`) that can be used to define the previous calendar date (Monday or 1st of current month) which will correspont to the `Time` of a `IBaseData` object.
Refactor `PeriodCountConsolidatorBase` to define use `GetRoundedBarTime` based on a period specification that depends on the constructor overload: `integer`, `TimeSpan` or `Func<DateTime, CalendarInfo>`. The last one can be set with the `CalendarType` properties.
Gerardo Salazar