- 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
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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
* 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
* 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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* 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
* Handle unsupported orders and add unit tests
- Capture more Tradier Brokerage order limitations
- Add unit tests to cover this changes
* Enhance implementation and add more unit tests
* Enhance implementation and add unit test
* Remove IsMarketOrderGTC condition
* Remove error message MarketOrderIsGtc
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* Covered and Protective Call and Put
- Improve covered call and put margin requirements based on IB
- Add missing protective call and puts strategies (inversion of a
covered call). Adding unit tests
* Fixes
* Add missing tests
* Handle unsupported orders and add unit tests
- Capture more Tradier Brokerage order limitations
- Add unit tests to cover this changes
* Enhance implementation and add more unit tests
* Enhance implementation and add unit test
* Add option strategy position group BPM tests
Tests added for calculating order quantity for a delta buying power
* Add option strategy position group BPM margin calculation tests
* Add option strategy position group BPM margin calculation tests
* Add option strategy position group BPM margin calculation tests
* Add option strategy position group available BPM calculation tests
* Add option strategy position group impact buying power calculation
* Housekeeping
* Unit tests improvements
* Unit tests improvements
* Add more unit tests
* Address peer review
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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
* Revert "Merge process"
This reverts commit 775a4b8ec18e0f1562b72c27203ec0df84c8f675, reversing
changes made to bcc3e790f66fe744ea6f4cb2083c3e9d1881ea2f.
* Revert "Revert "Merge process""
This reverts commit aa18fb40eec2aa551ab7a81310ba4515270d6c1a.
* Solve bugs
- Solve bugs in DefaultMarkets, CanUpdateOrder() and CanSubmitOrder() methods from BrokerageModelPythonWrapper.cs
- Add regression algos in both Python and C# to cover the changes
* Catch potential errors and add unit tests
* Add more unit tests
* Nit change
* Enhance implementation, add more unit tests
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* Refactor settlement mode api
- Add new Scan method on ISettlementModel API. To be used by
futures settlement model mark to market handling
- Use 'Parameters' classes for 'ISettlementModel'
* Address reviews
* Daily future settlement
- Implement daily future settlement. Adding unit & regression tests
* Address reviews
* Assert cash balance every day
* Refactor settlement mode api
- Add new Scan method on ISettlementModel API. To be used by
futures settlement model mark to market handling
- Use 'Parameters' classes for 'ISettlementModel'
* 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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- Validate cache folder exists before using it
- Avoid duplication fetching factor & map files path
- Adding helper method to check if directory is empty. Adding unit tests
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* Handle position group margin calls
* Minor changes
* Update regression algorithms
* Minor changes
* Minor changes
* Added regression algorithm
* Peer review
* Peer review
* Peer review
* Peer review
* Minor changes
* Minor changes
* Add unit test
* Allow sufficient buying power when closing position group
* Add unit test
* Improve regression algorithms
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* Invalidate option strategies orders when short selling over margin
When shorting an option strategy with margin requirements that cannot be
met, the order should be invalidated. The buying power model is now able
to detect said situation and result in unssuficient buying power.
The OptionsMarginModel now uses the parameters instance values instead
of the security holdings to compute margin requirements. This fixes the
situation when calculation buying power for a first time position with
no holdings.
* Add and fix unit tests
* Update regression algorithms
* Peer review
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* Downloader data provider fixes
- Fix stored data time zone, which is expected in data time zone
- Minor logging improvements
- LeanData Parse handles etf universes path. Adding unit test
- LeanDataWrite will only map if there's something to map to
* Fix download data provider synchronization
* Synchronization improvements after more testing
- KeyStringSynchronizer will handle reentrancy. Adding unit tests
- Define a unique Synchronizare for downloading data, since not related
to disk reading & writting
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* Fix fill quantity using group order quantity for combo orders
* Add Order's ComboQuantity property
* Add Order's ComboDirection property
* Minor changes and regression algorithms update
* Minor changes
* Update algorithms stats
* Minor changes and regression algorithms update
* Store the full quantity for each combo order leg in Quantity property instead of the ratio
* Minor changes and regression algorithms update
* A few fixes after pair programming
* Handle grouping position reduction
---------
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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- Improve LeanData aggregation helper methods to use shared consolidator based implementation
- Adding Tick to tradeBar aggregation
- Adding more unit tests
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* Performance Improvements
- Remove Immutable collection from position groups to improve
performance. Adding more tests
- Remove ConcurrentDictionary from PortfolioTargetCollection &
DataManager. Adding more tests
- Add Securities enumerator keys & values cache
* Add test for PortfolioTargetCollection remove by reference
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* Apply splits and dividends to volatility models
* Apply splits and dividends to volatility models using history requests
* Add new ScaleRaw data normalization mode
Handling the new mode in the price scale enumerator.
* DataNormalizationMode.ScaledRaw history requests
* Minor changes
* Minor changes
* Disable new normalization mode in AddSecurity methods and other minor changes
* Peer review
* Minor changes
* Peer review
* Minor changes
* Peer review
* Peer review
* Peer review
* Add scaled raw history regression algorithm
* Add more regression algorithms
* Add more regression algorithms
* Add Slice.TryGet unit tests
* Peer review
* Peer review
* Peer review
* Peer review
* Peer review
* Update algorithms stats
* Peer review
* Peer review
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* Adds Unit Test For Limit Price Above/Below Open
See `LimitOrderFillsAtOpenWithFavorableGap`
* Fixes Limit Price Above/Below Open
If we place a buy/sell limit order below/above the current market price in TWS it fills immediately, so we model this behavior by filling with the opening price of the first trade bar.
* Updates Regression Tests
The number of trades did not change as expected. The fills are better because orders are filling with the open price when the new condition is met.
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* Refactor alpha statistics
- Refactor alpha statistics, cleaning up and simplifying no longer required calculations and scoring
- Adding new InsightEvaluator abstraction, adding C# & PY regression
algorithms
* Optimization backtest result json converter update
* Address reviews
- Remove IAlphaHandler, move insight storage responsability to IResultHandler
and centralizing insight collection on the QCAlgorithm.Insights to be
reused by the framework models
- Fix portfolio turnover single day backtests and duplicate time
sampling handling. Updating regression algorithms
* Add InsightCollection tests and minor fixes
* Adding more & improved tests
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The `LimitFill`, `LimitIfTouchedFill` and `StopMaketFill` methods require `TradeBar` data to test price levels. We create a method to serve these methods as well other methods that will require this information.
Removes `Price > 0` check for `TradeType.Trade` data. Unecessary check, since a tick price cannot be less or equal to zero.
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* Adds Unit Tests for Stop Market Fill
These unit tests covers new scenarios:
- Cannot trigger on quote data (QuoteBar or TickRype.Quote);
- Adds missing test for tick data (TickType.Trade)
- Unfavorable gap (see QuantConnect#4545)
* Fixes EquityFillModel StopMarketFill
Use the entire tick history to find the trigger price
Fill price is the stop price, unless there is an unfavorable gap (see #4545).
* Update Regression Tests
All regression tests keep the total trades. The difference are due to the time that the stop market orders are triggered and the prices that are filled. The `StopLossOnOrderEventRegressionAlgorithm` and the `UpdateOrderRegressionAlgorithm` observe the unfavorable gap case.
* Addresses Peer-Review
* Updates Regression Test
New `OrderListHash` because of the change in the fill on open case message.
Jhonathan Abreu