* Improve GetFillModel()
* Add support for other methods
* Add regresion algos and improvements
* Make Python algorithms regression tests
* Improve unit tests
* Minor changes
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* Add new Order.PriceAdjustmentMode property
* Minor fix and unit test
* Minor fix and regression algorithms' stats update
* Unit test fixes
* Minor fix
* Set order price adjustment mode to raw always for live trading
* Add new libraries and updates
* ARM foundation update
- Deleting creme library which has been merged into already included river, because it causes copulae build to fail
- Deleting Riskfolio-Lib which would try to install old numpy and fail
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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
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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
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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
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* Added PyStan Library in DockerfileLeanFoundation
* Add new libraries and unit tests
---------
Co-authored-by: Ivan Radigales Creus <ivanrdgc@gmail.com>
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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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* Adds Unit Test
Asserts that we can remove a consolidator that was previously added.
* AddConsolidator Method Only Wraps Non-C# Consolidators
This behavior was implemented in `QCAlgorithm.RegisterIndicator` to avoid wrapping an object unnecessarily.
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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
* Foundation Update
* Adding more foundation packages
* Update existing libraries
* Further package updates
* Image cleanup
- Update base image to ubuntu 22.04
- Some clean up on dockerfile
- Remove ARM base image
* Test updates
- Minor docker file tweaks
- Update existing python environment tests
* Add more tests & fix Julia
* Remove jupyter-dash
* Remove R from foundation
* Remove Julia
* Remove Tensorforce
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* Set fill price to zero in OTM exercise orders.
Improved the OTM exercise orders message.
* Update regression algorithms and unit tests
* Add IsInTheMoney property to OrderEvent
* Update SerializedOrderEvent
* Properly setting the option exercise order price to strike price or zero
* Minor changes
* Minor changes
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* Adds Additional Condition to Parse SecurityIdentifier Properties
A string can pass the previous conditions and create an invalid `SecurityIdentifier` (e.g. "Sharpe ration"). If it is invalid, the Market is not supported (e.g. "378").
* Adds Unit Test to Pandas Indexing
* Log Only Once if TryParseProperties Cannot Parse
Use cache to increase speed and remove redundant logging
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* Handle non-unique multi-index error for Ticks in data frame creation
* Update unit tests
* Update unit tests and add comments
* Add regression algorithm
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* Fixes PythonData.EndTime
The `EndTime` property of `PythonData` didn't override the base implementation in `BaseData`. Therefore `EndTime` was always set as `Time`.
Fixes Regression Tests
- The C# version of `Bitcoin` class needs to implement `EndTime`-
- Fixes regression tests
* Minor tweaks and rebase
- Add support for python data types just setting EndTime. Adding unit
tests for PythonData
- Fix for DynamicData EndTime property being fetched. Updating unit
tests
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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* Period timespan consolidation improvements
- If user is trying to consolidate a period providing data of a bigger
period we will now throw an exception. Adding tests
- If both consolidated and given data share the same period, gently
adjust the consolidator into a data count of 1. Adding tests
- Fixing bug in QuoteBarConsolidator period double accounting. Adding unit tests
* Add Period and Count regression algorithm
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* Overload PandasConverter.GetIndicatorDataFrame to accept a Python dict
* Shared implementation code for PandasConverter.GetIndicatorDataFrame overloads
* Added documentation for private shared methods used by PandasConverter.GetIndicatorDataFrame
* Added unit tests for PandasConverter.GetIndicatorDataFrame
* Added unit tests for PandasConverter.GetIndicatorDataFrame Dictionary overload
* Address change requests
* Address change requests
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* remove un-used
* use utc time for slice sync
* use utc time
* refactor
* add regression test
* use utc time
* use utc time
* make utctime required parameter
* add utcTime in slice creation
* assert warm up complete
* check if algorithm is still warmingup
* use exchange tz
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* Do not send internal SecurityChanges to Algorithm
- Will not send internal security changes to the Algorithm by default.
Following custom security changes filter pattern. Updating regression
algorithms to assert behavior.
- The universe member will know wether it was added with internal
configurations or not
* Address reviews use a separate collection for internals
* Refactor solution. Adding security changes constructor class
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* Fix for python enumerable data history request
- Fix for python enumerable type data history request. Adding unit test.
* Add methods for adding data points into a baseDataCollection
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* Move processing of delistings to Brokerage
* Deal with case that exchange is not open on OptionSymbol.ID.Date
* Refactor solution to use DelistingNotification event
* Adjust some regression expected liquidation time
* Mark some todos on deprecated functions
* Update expected liqudation time for Py regressions
* Update regressions that have been validated
* Use HandlePositionAssigned for assignment orders
* Update regressions
* Update some missed unit tests; remove one that is already covered by regression
* Cleanup deprecated backend functions
* nit - small cleanup adjustment
* Post rebase fix
* Address review
* Minor tweak to py regression
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* Implement scheduled event sampling solution
* Use UTC time, only update daily portfolio value once a day
* For daily resolutions sample chart always
* Cleanup
* Drop resample daily all together
* Force final sample
* Regression updates
* FIx LiveResultHandler to update portfolio and benchmark values outside of sampling event
* Name the daily sampling event
* Address review pt 1
* Drop force and use reference wrapper
* Adjust tests
* Fix warning for Benchmark Timezone Misalignment and also add test
* Fix for daily resolution orders and test adjustments
* Also warn on universe settings with daily resolution
* Update missed regression
* Fix reference wrapper use
* Update regression after rebase
* Add values back in for Daylight Algo
* Have statistics builder skip day 1 performance
* Regression adjustments
* Test adjustments
* Update regression unit test
* Adjust some regressions starts to show performance values
* Add hourly algorithm for beta comparison
* Address missing Python regression changes
* Remove null comment
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* Lean exchanges improvements
- Adding new Exchange class to avoid exchange code clash.
Adding and updating unit test
* Add Market for MapFile API
* Self review
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* Fixes Market On Open Fill of Equity Fill Model
Only use trade data (Tick with Trade type or TradeBar) to get the open price, since MOO is filled with the opening action price. Ensure that this method doesn't use trade data from before the market opens for high-resolution data case.
Fix unit tests to show that the new implementation only fills with trade data from the current open market.
Change regression tests to reflect the bug fix.
In the `ExtendedMarketHoursHistoryRegressionAlgorithm`, MOO was filled with extended market hours.
* Fix Bug for Tick Resolution Case
For tick susbcription, the tick with the open price information is the the first valid (non-zero) tick of trade type from an open market.
Addresses peer-review by moving the if-condition for data belonging to the open market where the subscriscribed types are checked.
* Fix Bug for Low Resolution Edge Case
For the edge case where the order is placed after the trade bar is open, for example, order places at 1 pm with daily-resolution data. The fill model will not use the open of the bar that will close at midnight, since this value is prior to the order.
Adds unit test.
Change regression tests to reflect the bug fix.
In the `RegressionAlgorithm`, MOO was filled with open prior to the order. The algorithm now has one order less, since the last MOO would need to wait another day to be filled.
* Implements SaleCondition and Exchange Check For Tick
- Adds additional unit tests for MOO
* Fixes Regression Test in DataConsolidatorPythonWrapperTests
* Addresses Peer-Review
- Adds new unit test cases.
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* Refactor pandas mapper to support newer versions
* Clean up remapper
* Finalize deprecated tests and adjust those that should apply to new pandas
* Move mapper to its own file
* Add supporting Py tests and setup instructions
* Add license
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* Filter out small orders based on Setting
- BuyingPowerModel will filter out small orders based on algorithm
setting, a % of PTV, instead of hard coded 1 share value. Addin unit
and regression tests
- Updating regression algorithms to use new setting, reduce order trades
* Update regression algorithms
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* Implement solution with lightest changes possible
* Update regressions v1
* Adjust AlgorithmTradingTests
* Adjust PatternDayTradingMarginBuyingPowerModel tests
* Drop need to loop twice
* Adjust last unit test, with calculations included
* nit - comment fix
* Break out adjustment calculation to static function; add unit test
* Update Py regression
* Upgrade adjustment calculation to be smart enough to get us to target always
* nit - cleanup GetAmountToOrder
* Add license to test
* nit - comment fix
* cleanup GetAmountToOrder further
* Add additional test cases
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* Python research import improvements
- Improve start.py for research env
- Remove unrequired imports
* Centralize algorithm imports
* Add regression test GH action
* Unit test python import clean up
* Join research and main imports
* More python import clean up
* Fix failing skipped regression algorithm
Ricardo Andrés Marino Rojas