- `ITimeRules` are expected to yield time date in UTC, fixing `Noon`,
`Midnight` and `Every`
- `ScheduledUniverseSelectionModel` will use UTC time zone by default
since that is the default expected time zone `ITimeRule` provides
- Adding regression test
Adds constructor overloads to `EqualWeightingPortfolioConstructionModel` (`EWPCM`) to allow different rebalancing definitions.
It is possible to define rebalancing period with `Resolution`, `TimeSpan` (`timedelta` for Python) or a `Func<DateTime, DateTime>` (`lambda x: x+timedelta(y)`). The last option lets the model use `Expiry` helper class with the members such as `EndOfWeek` and `EndOfMonth`.
- 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.
- Creates `CustomUniverseSelectionModel` that mimics `QCAlgorithm.AddUniverse(String, Func<DateTime, IEnumerable<string>>)`
- Replaces `BaseETFUniverse` for `InceptionDateUniverseSelectionModel` that inherits from `CustomUniverseSelectionModel`
- ETF Basket USMs inherits from `InceptionDateUniverseSelectionModel`
Adds `BaseETFUniverseSelectionModel` that handles the common universe selection logic for all ETF Basket.
Adds the following ETF Baskets:
- Energy
- Precious Metals
- S&P500 Sectors
- Technology
- US Treasuries
- Volatility
* 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
- Add Pandas backwards compatibility shim
- Adding `MappingExtensions` which will remove data type from the
`Symbol.ID.Symbol` value to resolve the `MapFile`
- `SecurityIdentifier.TryParse()` will throw when given an invalid
`SecurityType`
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
- `TimeSliceFactory` will avoid creating empty collections
- `ExecutionModels` will check target collection count before trying to
enumerate
- Reduce calls to .`TotalPortfolioValue`
- `SecurityValues` will only be created when required
- `TimeKeeper` will use TimeZone unique Id as dictionary key. The
TimeZone hash is expensive.
- `AlgorithmManager` will avoid calling `DateTime.UtcNow`,
`ConvertFromUtc()` and `RoundDownInTimeZone()`
- Adding new `AlgorithmSettings` Min and Max absolute portfolio target
percentage
- Adding new `PortfolioConstructionModel.FilterInvalidInsightMagnitude()`
helper method that will be used by the `BlackLitterman` and
`MeanVariance` optiomization portfolio construction models to skip
insights with extreme magnitudes that will cause exceptions
- `PortfolioTarget.Percentage()` will now verify requested percent is
withing the settings values
- Adding new `InsightWeightingPortfolioConstructionModel` that will
generate percent `Targets` based on the latest active `Insight` `Weight` per
`Symbol`.
- Will ignore `Insights` that have no `Weight`.
- 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.
- Adding unit tests
- Adding a new regression test framework algorithm
- Note most of the code, including tests, are reused from the
`EqualWeightingPortfolioConstructionModel`
This model was assuming that the history request used to warm up the indicators contains the 'close' column which is only valid for Equity.
The models were also refactored to update the indicators without a consolidator since the last data point from the history request was not pushed throught the indicators.
Martin Molinero