* 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
The stale price message should use `ToStringInvariant` with `price.EndTime` for string represenation across different cultures. The former behavior has impact on the order list hash calculation.
- Reduce MinimumVariancePortfolioOptimizar precision goal so that both
CSharp and Py MeanVarianceOptimizationFrameworkAlgorithm return the same
results
- Limit factor file dates in factor file generator unit test
This flag indicates whether or not the local regression test system,
via RegressionTests.AlgorithmStatisticsRegression should run a given
IRegressionAlgorithmDefinition
It's important that we keep the factor files consistent with respect to
the date that they were generated. This enables us to run the regression
algorithms in the cloud and get the same results by using the factor files
from the correct date.
A mechanical refactoring was performed to make algorithms currently used in
regression algorithms to implement IRegressionAlgorithmDefinition, which allows
algorithms to define their own expected statistics and what languages should be
run as part of regression. The type name of the C# type is used to determine the
file/model name for python. This was for simplicity, but if needed, could later be
refactored to expose more information, but for now the convention of keeping names
the same makes sense and just works easily.
If we pull data and on the same time step that security gets removed,
we can still get that data in OnData(Slice) even though it was removed.
This change filters out removed securities by tracking a reference to
the subscription's disposed flag. Another change was made to wait until
the end of the time step to dispose of subscriptions.
Add IDataFeed.GetSubscription(SubscriptionDataConfig)
The previous implementation had some issues and introduced undue
complexity. This implementation follows established patterns of
having the algorithm manager apply changes to the algorithm that
result from universe selection.
Adds minor changes to UniverseSelectionRegressionAlgorithm to help debugging regression tests
Modifies expected statistics values at RegressionTests for this algorithm since the previous set was wrong.
This places all security subscriptions within a universes
Subscriptions generated via calls to AddSecurity are place in a UserDefinedUniverse
UserDefinedUniverse will serve up a predetermined list of symbols on a requested interval
LiveTradingDataFeed - reworked custom enumerators to use RefreshEnumerator as wrapper for rate limitting
This includes updating all usages of symbol as a security identifier to use the new type.
The type includes a unique field, SID, as well as the current ticker's value. This allows
for consistent addressability while also allowing the ticker to evolve over time with the
mapping changes.
Effort was made to maintain compile and runtime backwards compatibility.
Uses the insanely mental GOOG,GOOGL,GOOCV,GOOAV case
Correctly starts with GOOG and adds GOOAV and GOOCV, later we can model the merge of GOOAV->GOOG pre GOOGL
Martin-Molinero