* Add indicator helper methods for base Algorithm
- Add indicator helper methods for base algorithm. Adding new unit tests
* Expand indicators helper methods
- Expand indicators helper methods, adding support for C# and custom
indicators too. Adding unit tests
- Expand indicators helper methods to support multiple symbols as input.
Adding unit tests
- Improve conversion of symbol enumerable from python to C# adding unit
tests
* Address reviews
- Keep old QB.Indicator methods for backwards compatibility
- Rename new API to IndicatorHistory, matching
FutureHistory/OptionHistory
- Add new regression algorithms
- Minor improvement to DynamicData so it supports snake name access
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* Adds Support to Visual Studio Code Dev Container
Adds support and documentation to VSCode Dev Container.
* Address Peer Review
- Adds Dockerfile to install QuantConnect Stubs to enable Python autocomplete.
- Adds settings.json to enable Python autocomplete and LF line ending.
- Removes autobuilder task.
- Fixes Research Laucher
* Launcher and Task Impromevents
Fixes line endings issue
Fixes Launcher to point to right config.json file
Improve readme formatting
* Simplify Jupyter Notebook Deployment
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* Python research import improvements
- Improve start.py for research env
- Remove unrequired imports
* Centralize algorithm imports
* Add regression test GH action
* Unit test python import clean up
* Join research and main imports
* More python import clean up
* Fix failing skipped regression algorithm
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* Updates to default notebooks
* Update readme
* Notebook adjustments
* Drop launch script support
* Use our cwd if no QC dlls are in AppDomain directory
* Modify Intialize.csx to use parent directory only if QC files are detected there
* Clean up some details after testing
* Adjustments
* nit, NullOrWhiteSpace
Martin-Molinero