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* Warmup minor fixes
- Result handler fix
- Centralize and normalize status update during warmup
* Address reviews
* Minor adjustments
* Add console message during warmup period
* Fix warmup percentage update
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* First commit
* Add unit test
* Change implementation
* Add unit tests
* Nit change
* nit change
* Remove unnecessary methods
* Add more unit tests
* Revert "Add more unit tests"
This reverts commit 1ba2ab7454efafba7c38034a15df3f8e97bc7146.
* Add more unit tests
* Add more unit tests
* Improve Implementation
* Change unit tests
* Remove unit tests
Remove unit tests from AlgorithmRegisterIndicatorTests.cs
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- Fully reset the security cache when it's finally removed from the algorithm.
Adding regression algorithm reproducing issue
- Updating regression algorithms which would trade based on data
previously available
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* Add requested History overload
* Add more regression tests
* Revert "Add more regression tests"
This reverts commit 71b279e917629c3d5ed577e39aec74149b052afb.
* Add more regression tests
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* Make continuous futures untradable
- To match live trading behavior. Adjust continuous futures securities
to be untradable
* Set ContinuousFuture as non tradable
- Set continuous futures as non tradable. Update regression algorithms
- Fixes for symbol capacity calculation
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`WarmUpIndicator` for Python indicators doesn't return the indicator anymore after #6027. So all overloads should return `void`.
Fixes `SmaCrossUniverseSelectionAlgorithm` [C# and Py].
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* Adding unit tests reproducing issue.
* Fix a couple of minor bugs
- IsMarketOpen will work correctly when used with daily and hourly
resolution.
- slice.Get will work correctly with python custom data
- ExtendedDictionary will be able to dinamically access methods,
required for python and private C# data types
* Refactor solution. Add more tests
* Remove unrequired import statement
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- GetLastKnownPrices will no longer guess which resolution to use but
rely on other methods implementation/
- Updating basic template future algorithms to warmup contracts and
assert it
- Minor improvements for FunSecurityInitializer and FuncSecuritySeeder
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* replace to local functions as they are more performant
* fix random generator upper bound
Next() includes minValue, but not maxValue, so we increment it +1
* introduce abstract layers
* refactoring
* fix tets
* adapt tests
* fixup
* implement blackschole price model for options
* use risk free rate
* use ql price model
* wip
* change interface
* fix
* tidy up the code
* wip
* iterate groupped symbols
* wip
* wip
* fix
* allow symbol of different types
* improve settings
* wip
* iterate full range
* fix issue with negative option
* fix
* fixup
* use StandardDeviationOfReturnsVolatilityModel
* re-use existing tick types per security type
* parametrize underlying security type
* use default option style
* dynamic option price model
* fix enumeration
* test
* fix unit tests
* refactor code
* remove unused file
* minor tweaks and refactoring
* rename symbol generator class
* fix interface
* add comments
* more comments and unit tests
* more tests
* add disclaimer
* more tests
* more comments and tests
* split tests into different files
* tidy up the code
* tidy up the code; more tests
* refactor TickGenerator => use security price directly on each iteration
* remove dupe; reuse main constructor
* use SecurityManager, refactor code
* bugfix: save ticks in history array
* check volatility warm up & tests
* more unit tests
* describe volatility period span in settings
* rename command line option
* Minor adjusments. Address review
- Use Lean log handler instead of writting directly to console
- Rename BlackShcolesPriceGenerator to generically OptionPriceModelPriceGenerator
- Minor format clean up & standarization
- Add support for specifying the option chain size
* Rename TickGenerator private fields
* Fix unit tests
* fix tests class name
* Support tickers being specified
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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* Handle security added and removed in the same loop
- Correctly handle adding and removing a security in the same loop.
Adding regression test
* Adding comments
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* Align universe security and configuration TZ
- Make sure universe security and configuration tz are aligned always.
Adding unit test reproducing issue
* Address review UserDefinedUniverse will use UTC TZ
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* Indicator
* Fixed logic error
* Removed old files, added KER into KAMA
* Removed old comments
* Added requested changes
* Minor clean up
* Refactors KaufmanEfficiencyRatio and KaufmanAdaptiveMovingAverage
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
Co-authored-by: Alexandre Catarino <AlexCatarino@users.noreply.github.com>
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- Fix for adding continuous future and manually adding contract at the
same time. Continuous future was using the user defined universe
symbol and caused clashes. Adding regression test reproducing the issue.
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* Continuous Futures Refactor. Live Mappings
- Adding support for live mappings. LiveTradingDataFeed will handle any
symbol mapping at the configuration layer and resubscribe through the
IDQH
- Refactoring continuous futures adding ContinuousFutureUniverse that
will select the currently mapped security
* Minor fixes
- Remove addition of configurations in UniverseSelection step, leave
resposability for universe.
- LiveTradingDF future unit test will only assert slice data for non
internal feeds.
- ContinuousContractUniverse will respect internal option interest
subscription
* Address review
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* Fixes for FutureOptions support in LeanData
* Add CreateCanonicalOption() utility function for Symbol.cs
* Add aggregated Futures/FuturesOptions data to Lean
* Add FutureOptions regressions for daily/hourly data
* Allow Futures to be added with low resolution
* Add Future regressions using hour/daily data
* Nit - Python Class names
* Add reviews
* Add alias into CreateCanonicalOption
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* Super Trend Indicator #4653
* Updated test data
Previous test data was wrong
* Reduced if statement
* Updated tests
Replacing spy test data with dwac test data from trading view.
* Minor comment update
* Minor tweaks
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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* First BetaIndicator prototype
- In construction
* Fist BetaIndicator version and unit tests
* More unit tests and regression test
* Nit change
* Requested changes
* Nit changes
* Requested changes
* Adjust beta formula slightly and nit changes
* Nit change
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* Implement IIndicatorWarmUpPeriodProvider
- Implement IIndicatorWarmUpPeriodProvider in PythonIndicator.cs
- Make a unit test to check whether the WarmUpPeriod is working as expected
- Make a regression test to check the new feature at a system level
* Nit change
* Change Period parameter for WarmUpPeriod parameter
- Change regression test to check if the new parameter keep backwards compatibility with indicators that do not set WarmUpPeriod
* Documentation change
* Fix tests bugs
- In CommonIndicatorTests.cs before finish the test it checks the period.value with the number of samples but for default the period.value was set to -1
* Change names
* Change WarmUp and RegisterIndicator methods
- Lean WarmUp indicator skip custom python indicators that don't define WarmUpPeriod parameter
* Call WarmUpIndicator manually
- Add a new "bridge" method called WarmUpIndicator in QCAlgorithm.Python.cs to set up everything to call WarmUpIndicator in QCAlgorithm.Indicators.cs
- Change the regression algorithm to warm up the indicators manually
* Remove unnecessary code and add more tests
* Nit change
* Revert "Nit change"
This reverts commit da411f59c9e4295d75a11c6c581f615a938dd2c6.
* Fix bugs
* Try fix bugs
* Add C# regression test
- More nit changes
- Fix bugs
* Requested changes
* Remove unnecessary code
* Requested changes
* Nit changes
- Add new Python class to check a custom indicator, which doesn't inherits from PythonIndicator, warms up properly
* Reduce redundant code
* Fix bug and add more unit and regression tests
* - Add more unit tests
* Nit change
* Test cleanup
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
* Implement IIndicatorWarmUpPeriodProvider
- Implement IIndicatorWarmUpPeriodProvider in PythonIndicator.cs
- Make a unit test to check whether the WarmUpPeriod is working as expected
- Make a regression test to check the new feature at a system level
* Nit change
* Change Period parameter for WarmUpPeriod parameter
- Change regression test to check if the new parameter keep backwards compatibility with indicators that do not set WarmUpPeriod
* Documentation change
* Fix tests bugs
- In CommonIndicatorTests.cs before finish the test it checks the period.value with the number of samples but for default the period.value was set to -1
* Change names
* Change WarmUp and RegisterIndicator methods
- Lean WarmUp indicator skip custom python indicators that don't define WarmUpPeriod parameter
* Call WarmUpIndicator manually
- Add a new "bridge" method called WarmUpIndicator in QCAlgorithm.Python.cs to set up everything to call WarmUpIndicator in QCAlgorithm.Indicators.cs
- Change the regression algorithm to warm up the indicators manually
* Remove unnecessary code and add more tests
* Nit change
* Revert "Nit change"
This reverts commit da411f59c9e4295d75a11c6c581f615a938dd2c6.
* Fix bugs
* Try fix bugs
* Add C# regression test
- More nit changes
- Fix bugs
* Requested changes
* Remove unnecessary code
* Requested changes
* Nit changes
- Add new Python class to check a custom indicator, which doesn't inherits from PythonIndicator, warms up properly
* Reduce redundant code
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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
* Adds support for getting a Lean symbol based on FIGI, CUSIP, ISIN, SEDOL
* Address review: bug fixes for mapping, improve docs, cleanup & refactor
* Make LocalZipMapFileProvider and LocalZipFactorFileProvider only
initialize if they haven't been initialized yet.
* Address review: makes ISIN, SEDOL, CUSIP case-insensitive
* Cleans up map file provider in SecurityDefinitionSymbolResolver
* Modifies some test cases to test for case-insensitivity
* Add null check for SecurityDefinitions
* Fix unit tests
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
Jhonathan Abreu