* Fix Security.IsMarketOpen for cases outside regular MH and last bar
* Minor changes
* Move bar check of IsMarketOpen into FillModel
* Minor changes
* Minor changes
* Minor changes
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* Fix bug
- Add `ResetHandler()` and `IsReset` field in `CompositeIndicator.cs`
- Modify `CompositeIndicator.Reset()` to invoke the IsReset event
- Modify `VolumeWeightedAveragePriceIndicator.Reset()` method to reset
its composite indicator
- Modify `IndicatorExtensions.WeightedBy()` to register an event to the
returned composite indicator `IsReset` field
* Enhance implementation
* Address Requested changes
* Nit changes
* Nit change
* Nit change
* Address chages
- Make ResetCompositeIndicator inherit from CompositeIndicator and
override `Reset()` method
- Add ResetCompositeIndicator unit tests
- Modifiy IndicatorExtensions to keep returning the same type in
`WeightedBy()` method
* Avoid modify other IndicatorExtensions methods
* Nit changes
* Reset inner indicators and add more unit tests
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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
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* Fix bug and add unit tests
- Modify `InsightWeightingPortfolioConstructionModel.cs/py` to take the
absolute value in its `GetValue()` method
- Modifiy `InsightsReturnsTargetsConsistentWithDirection()` unit test to
consider also the case where the direction is Down and the weight is
negative
* Nit changes
* 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
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* Fix bug and add unit tests
The bug was raised because rounding the first point inserted in the
RenkoConsolidator didn't get the closest y-multiple of the given number
x, where y is the bar-size. In order to compute the first y-multiple of
the given number x, we need to first compute x mod y := x - y*Floor(x/y),
once we get this number we divide it by y to know if we should round x
to minimum y-multiple greater than x, or should round x to the maximum
y-multiple smaller than x. If (x mod y)/y < 0.5 we round down, otherwise we round up (the amount (x mod y)/y is always less than one and higher than 0). See the Art of Computer Programming, Vol I. Donald E. Knuth.
- Add `GetClosestMultiple()` method in `RenkoConsolidator.cs`
- Add more unit tests
* Nit change
* Add XML docs
* Address required changes and add more unit tests
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* Implement indicator history through a rolling window
* Minor changes and extend unit tests
* Add regression algorithms
* Minor changes
* Update regression algorithms examples
* Move resizing logic from IndicatorBase to RollingWindow
* Add unit tests and other minor changes
* Minor fix
* Add unit tests and other minor changes
* Add unit test
* Fix position group BP calculation
* Fix position group BP calculation
* Extend option startegy buying power unit tests
* Fix option strategy buying power calculation to account for order direction
* Fix bug, add unit tests and nit changes
The bug was raised because if two inputs points with repeated close values were inserted,
and the second one had 0 volume, when the first one is removed from
_oldDataPoints, as the reamaining value of it in _volumePerPrice is
zero, that entry is removed from _volumePerPrice. Therefore, when
the second input point is removed from _oldDataPoints, this entry
is not found in _volumePerPrice. Then the changes made were:
- Modify MarketProfile.Add() method to check every removed data point is
still in _volumePerPrice
- Add unit tests to covert this change
- Nit changes in VolumeProfileTests.cs
* Fix bugs and add more unit tests
- The Fill Forward bars shouldn't be considered in the calculations as
it's not real data.
- If bar inserted is not FF but has zero volume, it could remove a price
value from VolumePerPrice and leave this sorted list empty, then each
time we access that list we need to first check it's not empty
* Enhance ComputeNextValue() and add more unit tests
- Adjusting live stack to emit live auxiliary events based on factor files.
Updating existing tests
- Minor improvements for map & factor file provider daily refresh time.
Adding unit tests
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* Add ShortButterflyCall and ShortButterflyPut strategies helper factory methods
* Reduce duplication by adding the base OptionStrategyFactoryMethodsBaseAlgorithm algorithm class
* Housekeeping
* Fix bug in Beta statistics
- Beta in Report was calculated using equity points and not daily
performance points, as it's done in Backtest
- Performance points were not being divided by 100, as it's done in
StatisticsBuilder
- Benchmark points were not being converted into a percentage daily
performance of the benchmark, as it's done in StatisticsBuilder
* Improve implementation and add unit tests
* Enhance implementation and add more unit tests
* Enhance implementation
* Nit change
* Nit changes
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* Make maintenance margin zero for long options
* Use OptionIntialMargin in OptionMarginModel
* Add naked call and put strategies unit tests
* Minor fix
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* Account for premium in option strategies margin
* Minor fixes
* Add OptionInitialMargin class to separate strategies margin and premium
* Minor fix
* Minor fix
* Cleanup, docs and other minor changes
* Minor changes
* Minor changes
* Minor changes
* Address peer review
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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
* Add support for Null SecurityPositionGroupModel
- Add support for algorithms to set the null security position group
model which will not group securities together but rather return the
single group buying power model. Adding regression algorithms
* Add Null Margin python regression & cleanup
- Add python regression algorithm & minor regression algorithms clean up
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* Fix position group HasSufficientBuyingPowerForOrder
Comparing computed delta BP -- which already considers every impacted
group -- with the right available buying power (the remaining margin)
* Minor changes
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* Pandas frame include all ticks
- Pandas data framde history response will include all ticks. Updating
existing and adding new tests
* Python pandas converter performance improvement
* Add TriggerPrice field when applying a split
If one stock is split in k parts, the new TriggerPrice in an order for that stock should be also scaled by a factor of k/10. It was made:
- Modify `DefaultBrokerageModel.ApplySplit()` to adjust `TriggerPrice` field
- Regression and unit test was added
* Check Limit Price for LimitIfTouched
* Nit change
* MHDB will merge common entry
- The MHDB will merge the market and security common entry holidays,
early closes and late opens
* Normalize & reuse future US holidays
- Normalize & reuse future US holidays
* Update existing unit tests expected stats
* Fix PositionGroupBuyingPowerModel quantity for delta calculation
The model was calculation the order size that required a margin equal to
the given delta. This fix makes it so that it calculates the position
group order quantity required to get the given buying power delta,
taking into account the holdings for the existing position group in the portfolio.
* Fix PositionGroupBuyingPowerModel quantity for delta calculation
* Add unit tests
* Add unit tests
* Add unit tests
* Housekeeping
* Housekeeping
* Adapt unit tests and move messages to Messages class
* Improve quantity calculation for target BP loop
- PositionGroup.Quantity is now always positive.
- Added PositionGroupExtensions.Closes method and use it to check if reducing a position in PositionGroupBuyingPowerModel.GetPositionGroupBuyingPower. This is necessary since now a PositionGroup side is always "long" (see first bullet point).
* Improvements
* Improvements and new PositionGroup unit tests
* Unit tests improvements
- HasSufficientBuyingPowerForOrder test cases were completely updated to
make it accurate in terms of Lean's margin calculation.
- BuyingPowerForPositionGroupCalculation test was fixed in order to get
the correct expected result.
* Fixes for failing tests
* Added additional check to OptionStrategyMarginCallEventsAlgorithm
* Improve documentation comments
* Fix option strategies BuyingPowerForPositionGroupCalculation unit test
* Fix PositionGroupBuyingPowerModel.GetPositionGroupBuyingPower
Also address peer review
* Minor changes
* Update unit tests for new inverse strategies
Also fixed PositionGroupExtensions.WithQuantity to resolve inverse
strategy
* Minor fix
* Allow target/delta to go to the opposite direction of the position group
* Housekeeping
* Handle quantity for target/delta BP request for different reference position group
* Revert removal of PositionGroupBuyingPowerParameters.Direction
* Minor changes
* Peer review
* Minor tweaks on the position group buying power model
* Minor fix
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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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* Solve bug and add regression test
The bug was raised because, when trying to use C#
MeanVarianceOptimizationPortfolioConstructionModel from a Python
algorithm, there wasn't a constructor that accepted a portfolio optimizer
as a PyObject. Additionally, there wasn't also a Python Wrapper to wrapp
that portfolio optimizer.
- Add PortfolioOptimizerPythonWrapper.cs
- Add constructor in
MeanVarianceOptimizationPortfolioConstructionModel.cs that accepts
portfolio optimizer as a PyObject
- Add regression algorithms to cover the changes
* Improve constructor overload implementation
* Change implementation to follow API pattern
* Enhance implementation and add unit tests
* Enhance implementation and add more unit tests
* Enhance implementation
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* Add short call calendar spread strategy and review margin calculation
* Add short Put calendar spread strategy and fixed naked short options margin calculation
* Minor changes
* Minor changes
* Minor changes
Jhonathan Abreu