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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
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* Implement Trailing FreePortfolioValue
- Implement Trailing FreePortfolioValue by default, users will be able
to set it to a fixed number if desired. Adding regression algorithm
- Setting the default 'MinimumOrderMarginPortfolioPercentage' from 0 to
0.1% of the TPV to avoud tiny trades by default
* Update existing regression algorithms
* Address reviews
- Send warning message to the user if a trade does not happen due to the
default setting of the minimum order margin percentage value
* Address reivews
* Rename TotalPortfolioValueLessFreeBuffer
* Update new regression algorithm
* Minor fix CrunchDao Symbology
- Minor fix for CrunchDao Symbology. Updating existing tests
* Add missing symbol mapping
- Add IAlgorithm.Ticker(Symbol) functionality which will return the
latest ticker for the requested symbol at the current algorithm time
- SignalExporters will use Ticker to get the current symbol ticker
* Rename SecId GetTicker to Ticker
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* Implement Unregister helper method
- Implement Unregister helper method, each indicator which hold a
reference to the consolidators updating it. Adding regression
algorithms
* Fix for QuantBook indicators
* Address reviews
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- Custom data universe selection market hours. Adding regression test
asserting the behavior. Updating existing tests due to market hours
change, triggering selection always, even the 4th of July 2018
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* Solve the bug and add unit test
- The bug was raised because if something went wrong trying to register an indicator with a C# or a custom consolidator the exception raised was lost, because the catch sentence didn't return it with another exception
- A unit test was added asserting a exception with a related message was raised each time something went wrong with the consolidator
* Fix bugs and enhance unit tests
* Fix bug
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* Expire Instead of Clear Insights In Base PCM In OnSecuritiesChanged
* Fixes Regression Test
The regression was incorrect because `_removedSymbols` didn't retain the removed symbols from previous `OnSecuritiesChanged` calls, and the algorithm relances once per month. E.g. On day 1, SPY and FB were removed, on day 3 AAPL and IBM were removed and `removedSymbols` would only include AAPL and IBM.
We should hve fixed this problem before with:
```csharp
if (_removedSymbols == null) _removedSymbols = new List<Symbol>();
_removedSymbols.AddRange(changes.RemovedSecurities.Select(x => x.Symbol));
```
However the change to use Expire fixes the issue.
* Removes Unused List of Removed Symbols
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* Add forward data only fill model example
- Add forward data only custom fill model C# & PY example.
- Minor adjustment for 'MarketOrderFillTimeout' to be zero always in
backtesting
* Address reviews
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* Implement ShortableProviderPythonWrapper.cs
- Modify AllShortableSymbolsCoarseSelectionRegressionAlgorithm.cs and ShortableProviderOrdersRejectedRegressionAlgorithm.cs to use ShortableProvider from Security and not from the Brokerage model
- Add SetShortableProvider() overload method in Security.cs to set a custom shortable provider from Python
- Remove AllShortableSymbols() method from LocalDiskShortableProvider.cs
- Remove DefaultShortableProvider class
- Add regresion algorithms in C# to cover the changes done
* Implement ShortableProviderPythonWrapper.cs
- Modify AllShortableSymbolsCoarseSelectionRegressionAlgorithm.cs and ShortableProviderOrdersRejectedRegressionAlgorithm.cs to use ShortableProvider from Security and not from the Brokerage model
- Add SetShortableProvider() overload method in Security.cs to set a custom shortable provider from Python
- Remove AllShortableSymbols() method from LocalDiskShortableProvider.cs
- Remove DefaultShortableProvider class
- Add regresion algorithms in C# to cover the changes done
* Solve bugs and nit change
* Address review
---------
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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* Add dataMappingMode parameter to every history api method overload
* Minor unit tests fixes
* Update regression algorithm stats
* Minor changes
* Minor changes
* Add extendedMarket parameter to every history api method overload
* Rename extendedMarketHours parameter
New name is extendedHours as in the History API to standarize parameters naming
* Update generic history overloads to use every matching subscription
* Update regression algorithms stats
* Centralize period-based history error for tick resolution
* Rename extended market hours parameter to extendedMarketHours
* Minor changes
* Minor changes
* Minor unit tests changes
* Minor unit tests changes
* Minor changes
* Minor unit tests changes
* Minor unit tests changes
Grzegorz Wodnicki