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* Respect warmup resolution given
- The data feed will respect the warmup resolution given and override
the resolution used by the algorithm when adding a subscription.
Updating regression algorithm to keep previous statistics. Adding new
regression algorithm asserting the desired behavior
* Testing improvements
- Add more unit tests and regresion test
- Add missing data for crypto
- Fix bug with FFed data crossing after the end time of the warmup
request
* Add more Warmup resolution regression algorithms
- Adding more warmup resolution regression algorithms, using
Settings.WarmupResolution and an option selection case
* Add more warmup regression tests
- Adding more warmup regression tests.
- Will no longer skip universe selection subscriptions from warmup
resolution enforcement. Updating regression algorithms data points
* Fix bug with data rounding
- Fix data rounding bug when warmup resolution is set to a different
value than the original configuration. Updating regression algorithms
to assert the expected behavior
* Address reviews
- Revert regression algorithms changes to use Resolution during warmup.
Updating their stats.
- Adding new regression algorithms asserting the behavior warming up
using a timespan and no warmup resolution
- Fix bug where data used to warmup the 'normal' enumerator will make it
through into the warmup time span. Updating tests
* Address reviews
- Add missing comments, explaning warmup algorithms time span
calculations.
- Revert changes in existing `WarmupOptionTimeSpanRegressionAlgorithm`
to reduce diff to minimum
- Adding new warmup unit tests asseting algorithm warmup start time, for
different combinations of bar count, timespan, resolution
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* Minor fixes for mapped futures contract
- Future security was never able to be non tradable
- Skip remove future contracts from live holdings. Adding unit test
reproducing issue and regression algorithm
* Fix removal of continuous futures
- The canonical continuous future would leave behind an OpenInterest
subscription when removed because of a different in the way the
configurations were built, this will now be centralized in a single
method. Adding unit tests reproducing issue
- FillForwarding setting of the continuous future was not being
respected. Updating algorithm reproducing the issue to assert the
behavior failing in master
* Address reviews
- Minor refactors addressing reviews
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* Add new Python QCAlgorithm.History() method with all parameters and type
* Add regression algorithms
* Using all parameters in History()
* Use private methods to reuse History() code
* Use private methods to reuse History() code
* Add unit tests for QCAlgorithm.Python.History()
* Add unit tests for QCAlgorithm.Python.History()
* Add unit tests for QCAlgorithm.Python.History()
* Add unit tests for QCAlgorithm.Python.History()
* Add unit tests for QCAlgorithm.Python.History()
* Add unit tests for QCAlgorithm.Python.History()
* Asserting history count
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- Similar to the OptionChainUniverse, the future chain universe should
also add it's contracts using the raw data normalization mode. Adding
regression algorithm reproducing issue
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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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* 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