* OptionChain and OptionContract improvements
- QCAlgorithm.AddUniverse will return the added Universe instance.
- Adding new OptionChainedUniverseSelectionModel will monitor a Universe changes
and will spwan new OptionChainUniverse from it's selections. Adding
regression test Py/C#.
- Adding new OptionContractUniverse that will own option contracts and
their underlying symbol. Adding regression test
- Fix double notification for security changes, bug seen in updated
UniverseSelectionRegressionAlgorithm
- Remove UniverseSelection special handling for Option and Future chains
- Fix DataManager not removing SubscriptionDataConfigs for Subscriptions
which finished before being removed from the universe
- Refactor detection of user added Universe so that they do not get
removed after calling the UniverseSelectionModel
* Add check for option underlying price is set
* Address reviews
- Adding python regression algorithm for
`AddOptionContractFromUniverseRegressionAlgorithm`
and `AddOptionContractExpiresRegressionAlgorithm`
- Rename QCAlgorithm new api method to `AddChainedOptionUniverse`
* Fix universe refresh bug
- Fix bug where a universe selection refresh would cause option or
future chain universes from being removed. Adding regression algorithm
reproducing the issue.
* Rename new option universe Algorithm API method
- Rename new option universe Algorith API method from
AddChainedOptionUniverse to AddUniverseOptions
- Rebase and update regression test order hash because of
option expiration message changed
* Support List and OptionFilterUniverse for Py filter
* Regression algorithm for testing
* Unit Tests
* Fix for process
* Tighten filters to reduce load on automated testing
* Address review v2
* DataConsolidator Wrapper for Python Consolidators
* Regression Unit Test
* Refactor Regression test
* Bad test fix
* pre review
* self review
* Add RegisterIndicator for Python Consolidator
* Python base class for consolidators
* Modify regression algo to register indicator
* unit test - attach event
* Test fix
* Fix test python imports
* Add license header file and null check
Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
- Adding an example algorithm of a custom universe selection using
coarse data and adding tiingo news. If conditions are met will add the
underlying and trade it
- Adding required UniversePythonWrapper
This example shows how to create an EMA cross algorithm for a futures' front contract. Once the contract is added, the indicators are registered to a new consolidator and warmed up with historical data. When a contract is removed, the consolidator is removed and the indicators are reseted. We don't need to liquidate it, because it's liquidated automatically since it has expired.
- 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.
This basic algorithm implements a `CustomPartialFillModel` class that chnages the behavior of the `FillModel.MarketFill` to simulate partially fill orders.
`BaseDictionary` is an abstract implementation of `IExtendedDictionary` keyed by `Symbol` that implements Python `dict` methods. `Slice`, `DataDictionary`, `SecurityManager`, and `SecurityPortfolioManager` derives from it in order to behave like Python `dict`.
- Fixes for C# RegisterIndicator API methods which were ignoring provided
type of T
- Fixes for Py RegisterIndicator API methods which was not using the
provided 'selector' method
- Adding C# and Py regression algorithm
Implements `PortfolioBias` in EWPCM, CWPCM and IWPCM. With this new feature, these PCM will ignore insights that do not respect the desired bias. E.g. for `PortfolioBias.Long`, on Insights with `InsightDirection.Up` will be converted into `PortfolioTarget.Quantity` greater than zero and other `InsightDirection` will result in `PortfolioTarget.Quantity` of zero.
- BacktestingResultHandler will send a maximum of 50 orders per update
packet and will check `LastFillTime` and `LastUpdateTime` too
- Fix invalid linked file
`AccumulativeInsightPortfolioRegressionAlgorithm`
- Renaming `PreSelected` to `Constituents`
- Adding base `ConstituentsUniverse`
- Adding Py and C# regression algorithm
- Fixing bug in `UniverseSelection`, it wasn't removing pending to be
removed securities unless the universe selection changed
- Adding test data
- Adds Python version of `TrainingInitializeRegressionAlgorithm`;
- Adds C# version of `TrainingExampleAlgorithm`;
- Removes `TrainingScheduledRegressionAlgorithm`.
- Adds PyObject overload to `ScheduleManager.TrainingNow` and `ScheduleManager.Training`
- Adds `QCAlgorithm.Train` helper method
- Adds Python algorithm showing how to use the helper method.
- Adding new `ConfidenceWeightedPortfolioConstructionModel` (C# / Py) that will
generate percent `Targets` based on the latest active `Insight` `Confidence` per
`Symbol`.
- Will ignore `Insights` that have no `Confidence`.(unit tested)
- If the sum of all the last active `Insight` per `Symbol` is bigger than 1, it
will factor down each target percent holdings proportionally so the sum is 1. (unit tested)
- Adding unit tests
- Adding a new regression test framework algorithm (C#/Py)
-**Note**: `ConfidenceWeightedPortfolioConstructionModel` inherits from the `InsightWeightingPortfolioConstructionModel`. Protect method `GetValue` was implemented in `IWPCM` to enable the choice of `Insight` member.