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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
- Removes `UniverseSettings.DataNormalizationMode` (it will ne addressed in a dedicated issue: https://github.com/QuantConnect/Lean/issues/3082)
- Adds examples/tests for Tick resolution, Forex (QuoteBar data) and Custom data.
- Tick resolution is not allowed: logs a message
- Custom data example/test added in `CustomDataNiftyAlgorithm`
- Adds support for ATR and VWAP since they are, respectively, a bar and a trade bar indicator.
- Adds consolidators to handle difference between data resolution and indicator resolution.
Marco Grassi