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* Candlestick charts base implementation
* Series and Candlestick series json serialization
* Some cleanup
* Add AddPlot method for candlestick series to QCAlgorithm
* Remove Values property from ISeriesPoint
* Add candlestick QCAlgorithm.Plot trade bar methods
* Implement candlestick series re-sampling
* Add more SeriesSampler unit tests
* Add examples of candlestick charts usage to exisiting charting algorithm
* Address peer review
* Address peer review
* Derive Candlestick from Bar
* Sampler changes
* Add new series types from the cloud
* Add more candlestick series sampler tests
* Minor cleanup
* Minor changes
* Remove and replace OnEndOfDay() ref
* Restore functionality of obsolete EOD, waiting for deprecation in August 2021
* Cleanup
* Adjustments to only post message when using obsolete EOD
* nit, extra space
* Address review
* Adjust test to reflect new behaviour
* Move GetPythonArgCount to an extension method
* Add unit test
* nit accidental import
* Refactor broken test
* Use Py.GIL() state for extension
In some examples, we have been using Portfolio.Cash to calculate the quantity of shares in orders. This is a bad advice for users, since Portfolio.Cash does not account loses in other positions and its use can lead to invalid orders due to insufficient capital. Instead, users should use Portfolio.MarginRemaining.
FuzzyInferenceAlgorithm and LiveFeaturesAlgorithm had minor changes to perform backtests with available data
Jhonathan Abreu