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* Apply splits and dividends to volatility models
* Apply splits and dividends to volatility models using history requests
* Add new ScaleRaw data normalization mode
Handling the new mode in the price scale enumerator.
* DataNormalizationMode.ScaledRaw history requests
* Minor changes
* Minor changes
* Disable new normalization mode in AddSecurity methods and other minor changes
* Peer review
* Minor changes
* Peer review
* Minor changes
* Peer review
* Peer review
* Peer review
* Add scaled raw history regression algorithm
* Add more regression algorithms
* Add more regression algorithms
* Add Slice.TryGet unit tests
* Peer review
* Peer review
* Peer review
* Peer review
* Peer review
* Update algorithms stats
* Peer review
* Peer review
* Custom data type history request in python
* Potential solutions
* Minor changes
* Use Slice.Get(Type) for getting python custom data history
* Minor changes
* Add unit tests
* Add unit tests
* Udpdate regression algorithms
* Peer review
* Peer review
* Add research regression tests
* Minor changes
* Minor changes
* Minor tweaks
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Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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* Alpha Streams improvements
- Warmup added securities so we can trigger an order right away
- Fix bug where AddSecurity returned a security which was not the one
being used
- Fix bug where EWAS PCM would remove from a dictionary while iterating
over it
* Fix unit tests
* Add QCAlgorithm.GetLastKnownPrices API
- Add new GetLastKnownPrices that will return the last known data point
for all subscribed data types.
- Fix for MHDB GetDataTimeZone which was using an invalid entry key
format for custom data.
- Fix for using GetLastKnownPrice/s to seed a security during creation,
when it's not added in the Algorithm.Securities collection
* Adding more unit tests for GetLastKnownPrice
* Address reviews
- Refactor GetLastKnownPrice/s to perform a single history request for
all data types
Three methods were added to enable easier consumption of an enumerable
of slices returned from a history request. The dictionary version is
most likely to be used by python, while the functional versions allow
for lots of flexibility in how you'd like to consume the stream of slices.
Refactors existing consolidators, indicators, and helper methods to depend on
IBaseData instead of BaseData. These updates also defines an IBaseDataBar to
act as an abstraction point between TradeBar and QuoteBar.
Fixes bug in backtest history provider
Requests for bar counts were always incorrect because the history provider
was emitting bars whose end time is equal to the start time.
Implemented a FilterEnumerator<T> privately so he can filter those out
when using non-tick data
Jhonathan Abreu