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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
---------
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
---------
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
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* Dynamic security properties for quick objects storage
* Documentation and other minor changes
* Add Security indexer to access custom properties
* Address peer review
* Minor changes
* Improve regression algorithms
* Bumped pythonnet to version 2.0.19
* Bumped pythonnet to version 2.0.20
* Address peer review
* Make statistics available at runtime to algorithms
* Re-calculate statistics on every call
* Housekeeping
* Add regression algorithms
* Address peer review
* Support for custom summary statistics at runtime
* Minor changes
* Address peer review
* Address peer review
* Minor changes
* Minor changes
- Lean engine will automatically add an options underlying if not
present, but in most cases the option chain will select the underlying
too, so let's make sure the configurations match. Previous to this
change 'fill forward' setting could be different causing the
underlying to be duplicated in the data stack
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* Add SetAccountCurrency overload
- Add SetAccountCurrencyOverload to allow the user to set also account
currency quantity
- Add regression and unit tests to cover the changes
* Add regression algos
* Simplifiy SetAccountCurrency implementation
* Minor changes
* Minor changes
Jhonathan Abreu