- 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.
- Add `TiingoNews.HistoricalCrawlOffset`, timespan to add for
backtesting
- Rename: remove `Data` from `TiingoNewsData` and rename `TiingoDailyData` to `TiingoPrice`
Adds IRegisteredSecurityDataTypesProvider to track all the data types
registered in the algorithm. Using this data, we can detect if it's
possible that we'll eventually have a property of a certain type name.
For example, consider I wish to use security.Data.TradeBar but we haven't
received any trade bars yet. Before this change a KeyNotFoundException
would be raised, but since we can determine that we expect to have trade
bars, we can detect this and return an empty list when we haven't received
any data yet. This also removes the need to constantly do a HasData<T>()
check before accessing the dynamic members.
Closes#3620
* Added better documentation for AddData methods
* Added new regression algorithms for adding in OnSecuritiesChanged
* Changed regression algorithms to add data that exists
* Styling and logging fixes
* Deleted regression algorithms because they tested behavior similar to
other existing regression algorithms
* Fixed new bug in regression algorithm due to AddData changes
* Added unit tests for wrapt version and package existence
* Fix issue where data would be set to raw normalization mode
Adds static methods of the form Parse.<TypeName>(string str) that use
CultureInfo.InvariantCulture. These are to be used when parsing strings.
It's still safe (from the CA1304/CA1305 perspective) to use the ToDecimal
extension method for decimals.
Adds string extension methods for common operations that will now require
CultureInfo.InvariantCulture. These are to be used when converting values
to strings, such as ToStringInvariant()/ToStringInvariant(format), but also
useful for searching within strings, StartsWithInvariant, EndsWithInvariant
and IndexOfInvariant.
FxCop has various rulesets for enforcing things within our codebase.
For this particular issue, we'll be enforcing CA1304 and CA1305 to
ensure we're always using an IFormatProvider or a CultureInfo where
applicable.
Linked Issue: #3045
- 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
- 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
Martin Molinero