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* Implement VaR in PortfolioStatistics
* Added ValueAtRisk indicator
* Refactored ValueAtRiskTests
* Added returns column to test data
* Change indicator helper method name
* Addressed comments
* Chande Variable Index Dynamic Average (VIDYA) Indicator
* Improvements
* Improvements
* Final Changes
* Editted, Retested
* Comments
* Minor Corrections
* Updated Datetime Format of test data to US Standards
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Co-authored-by: Pronoy Chowdhury <rokstarr.dbz@outlook.com>
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* Improve consolidator scan
- Improve consolidator scan to be triggered even if no data is present.
Adding new regression test, updating existing
* Adding more tests & minor tweaks
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* Portfolio state chart
- Cleanup and renames
- Add series.IndexName. Uodating unit tests
- Add Chart.LegendDisabled. Adding new unit tests
- Add ChartPoint.Tooltip. Updating unit tests
- Minor compression tweak. Adding unit test
- Add ChartJsonConverter. Adding unit tests
* Minor chart serialization order tweak
* Refactor portfolio state sampling and storing
* Move PortfolioMargin into a lean side chart
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* Implement backtest self-naming and self-tagging
* Minor unit test fix
* Minor api changes
* Minor changes
* Send packet messages when algorithm's name or tags are updated
* Minor fixes
* Address peer review
* Backtest name and tags API calls
Plus, first version of CI for API tests
* Add endpoint to update a backtest set of tags
* Minor GH actions change
* Address peer review
* Add algorithm naming and tagging unit tests
* Minor backtest API changes
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* Add IV indicator
* Fix bug
* Add QCAlgorithm helper method
* Add unit tests
* Add OptionPricingModelType, as option for greeks & IV estimation
* Nit, and fix bug
* Address peer review
* Fix bug
* Fix bug on CRR
* Ensure test indicator initiate correctly
* Address 2nd review
* Check for FOPs and index options as well
* Add comparison with QuantLib
* CRR not follow BSM
* minor bug fix
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* Plotting Limits Handling Improvements
- Improve the handling and enforcement of plotting limits
- Increase local default limits
* Minor plotting test fix
* Implement risk free interest rate as an algorithm model
* Use risk free insterest rate model in Sharpe Ratio indicator
* Address peer review
Also added python wrapper
* Take pyobject as interest rate model in Sharpe Ratio indicator
* Minor fix
* Minor fix
* Address peer review
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* Shortable modeling improvements
- Do not limit live trading because of shortable model, will send
algorithm warning
- Add Interactive brokers shortable provider
- Minor LocalDiskShortableProvider API changes
* Fix shorted order update
- Fix shorted order update. Updating regression algorithm
* Minor improvement
* Address reviews
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* correlation as lean indicator #6983
* correlation as lean indicator #6983, added SPY QQQ test and Spearman test
* correlation as lean indicator #6983
* correlation as lean indicator #6983, fixes after review
* correlation as lean indicator #6983, fixes after review
* correlation as lean indicator #6983, fixes after review
* correlation as lean indicator #6983, added AcceptsQuoteBarsAsInput Test
* Minor review changes
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Co-authored-by: Grzegorz Wodnicki <info@funchips.co.uk>
Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
* Async universe selection
- Add support for async universe selection, which will happen ahead of
time in the data stack for a performance improvement
* Thrown if using Coarse+Fine Asynchronous Universe selectioon
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* New Fundamental Data
* Minor CIK lookup fix
* Handle live mode & delete unexisting properties
* Minor coarse fundamental adjustment
* Add fundamental history support
* Fix unit tests
* Performance improvements
* Fixes
* Minor regression algorithm fix
* Improvements. Add FundamentalUniverseSelectionModel
* Change default values
* Fix unit test
* Minor tweaks
* Fix unit test
* Minor error handling improvement
* Fix rebase
Adds a new constructor overload that matches the pattern in Lean: Symbol, Symbol, other types.
Adds a new constructor that infers the indicator name: "B(period)".
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* Add ClrBubbleExceptionInterpreter
* Add ClrBubbledExceptionInterpreter tests
* Bump pythonnet version to 2.0.23
* Minor changes
* Minor change
* Minor fix
* Fix failing unit tests
* Set default always open market hours entry for base security without subscription
Also return proper matching subscription for custom data symbols wihtout subscription.
* Minor changes
* Minor change
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Calling UniverseDefinition.ETF("TICKER",...) in Python was resolving the UserDefinition.ETF(Symbol...) overload due to Symbol's implicit string operator, causing the symbol to be wrongly created.
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* Changes up to the date
* Revert "Changes up to the date"
This reverts commit 45dc9756bc616a7ec389425a2eda89614eb01ac7.
* First attempt to solve bug
* Improve solution
* Add unit tests
* Fix bugs and add regression tests
* Solve bugs
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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
* Add trailing stop orders base implementation
* Handle trailing stop order prices rounding
* Implement trailing stop orders fill logic
* Minor fill model changes
* Add ApplySplit to fill model interface for models that might need to be aware of splits.
Filling trailing stop orders require keeping track of min/max prices, which need to be split adjusted.
* Add brokerage order updated event for communicating certain order types prices changes
* Add order update event args class for brokerage side order updates
* Revert IFillModel.ApplySplit
* Add trailing stop orders regression algorithm
* Updated order ticket demo algorithm to include trailing stop orders
* Some cleanup
* Support trailing stop orders in IB brokerage model
* Some cleanup
* Fix failing tests
* Fix failing regression algorithm
* Address peer review
* Add trailing stop price calculation unit tests
* Minor changes
* Minor change
* Changed argument exceptions so that they used the nameof() operator for parameter names
* Update IQSocket.cs
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Co-authored-by: John Doe <john@doe>
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
* Add security dynamic properties unit and regression tests.
These assert that dynamic properties that are instances of python classes that inherit c# classes keep their python object references.
* Minor change
* Bump pythonnet version to 2.0.21
* Fix security dynamic properties cast from PyObject
* Minor change
Louis Szeto