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* First draft of the solution
* First draft of the tests
* Nit changes
* Nit change
* Add improvements
* Improve unit tests
* Regression algos
* Nit change
* Nit changes
* Improve unit tests
* Improve unit test
* Nit change
* Address reviews
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* Improve indicator warmup
- Allow indicator warmup to handle multiple symbols, used for option
greeks. Adding regression test
- Improve indicator history to handle specific T types. Adding unit test
- Remove period, and historical underlying volatility, from IV so
simplify warmup behavior
* Address review, fix minor issues
* Minor fixes for IndicatorHistory and IV
- Minor fix for IndicatorHistory, use ScaledRaw data normalization mode
for option indicators. Adding unit test
- Expand the IV expected upper range to 400%, given values can be higher
than previous value of 200%
- Adjust IV to use smoothing function only when both option calculations
succeed
* Updating regression algorithm expected greeks, minor change
- Remove universe selection on dates with extended market hours only
- Updating regression algorithms
- Expand date & time rules API to support specifying whether extended
market hours only dates are desired or not
* Add indicator helper methods for base Algorithm
- Add indicator helper methods for base algorithm. Adding new unit tests
* Expand indicators helper methods
- Expand indicators helper methods, adding support for C# and custom
indicators too. Adding unit tests
- Expand indicators helper methods to support multiple symbols as input.
Adding unit tests
- Improve conversion of symbol enumerable from python to C# adding unit
tests
* Address reviews
- Keep old QB.Indicator methods for backwards compatibility
- Rename new API to IndicatorHistory, matching
FutureHistory/OptionHistory
- Add new regression algorithms
- Minor improvement to DynamicData so it supports snake name access
* Fix CA1819 and CA1002 warnings
Changed the type of Languages statistic in regression tests from
Language[] to List<Language>. By doing that, the warning CA1819 was
removed but then the warning CA1002 was raised. However, this warning
was expected to be excluded from QuantConnect.Algorithm.CSharp.
* Improve implementation
* Simplify code
* Fix bugs
* Define Iron Butterfly and its buying power model
* Add unit tests
* Add regression test
* Address peer review
* Add short iron butterfly and short iron condor
* Add unit tests on short strategies
* add regression algorithms
* Invert direction of iron butterfly
* Add support for FTP notifications
* Add optional parameters for SFTP notifications with private key
* Add optional "secure" parameter for FTP notifications.
Improve FTP notifications constructor and input checks.
* FTP notification improvements.
Add public key property.
Add multiple constructors and methods for FTP and SFTP notifications with either password or SSH keys.
Encode file contents.
* Address peer review
Add support for FTP notification with string contents
* Minor changes
* Minor changes
* Remove public key argument
* Fixes and minor changes
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* Add Protective Collar Option Strategy
* Add buying power model for Protective Collar
* Add unit test for Protective Collar
* Add regression test for Protective Collar
* Add unit test on position group buying power
* allow same strike for later abstraction
* minor bug fix
* Set up conversion option strategy
* add margin requirement
* add unit tests
* Add regression test
* add reverse conversion definition
* add reverse conversion and refactor conversion/collar margin model
* added/modified unit tests for conversion/reverse conversion
* minor bug fix on unit test, add regression test
* Address peer review
* update new set of IB testing data
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* Fix fill forward resolution adjustment on removal
- Fix fill forward resolution adjustment on subscription removal. Adding
regression algorithm reproducing issue
* Minor fix for undeterminism behavior on security removals and FF res change
* Further improvements and determinism
- Improve regression algorithm add, remove and readd future, asserting
FF resolution changes
- Adjust universe selection to be deterministic and avoid unnecessary
FF resolution changes
* Daily data Time & EndTime Improvement
- Adjust daily data Time & EndTime to actually reflect the time of the
data used, for example US Equity from 9.30 to 4PM. Adding new unit and
regression tests
* Refactor solution to use enumerator
- Refactor daily strict end times solution to be through enumerator
usage, so it applies for history providers too
* Minor fixes
* Revert fill forward enumerator change
- Revert FillForward enumerator causing stats changing, enhancing unit
tests
* Some cleanup
* Improve handling of live trading FF enumerator
- Improve handling of live trading FF enumerator, by adding support for
bars to arrive with a delay so we can handle auction close/option
prices or data providers which might have some delay making the data
available. Adding new unit tests asserting the behavior
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* Round combo order prices
* Combo limit order round fix: use smallest security min price variation
* Minor unit test change
* Improvements and unit tests
* Minor change
* Cleanup
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* Fix: properly adjust prices after a split
* Minor fixes
* Minor: Adjust cached data on split
* Minor change
* Expand regression algorithms assertions
* Fix: source custom data from remote CSV zipped file
* Fix: Custom data sourcing zip entry names from remote locations
* Address peer review
* Add unit tests
* Minor fix
* Address peer review
* Minor fixes
* Return byte array in IApi.DownloadBytes
* Allow sourcing custom data from specific csv entry in a zipped remote file
* Minor change
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- Make sure calling CSharp methods, fields, properties releases the GIL,
this was not hapenning for fiels & properties, adding unit test
reproducing the issue
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* Improve python exception message for cases when derived class uses member names already defined in base C# classes
* Update pythonnet version to 2.0.33
* Update error message
* Pythonnet version bump to 2.0.34. Minor unit test fix
* Enhance pythonnet overload tests
---------
Co-authored-by: Jared <jaredbroad@gmail.com>
Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
* feat: support snake-case style Python QCAlgorithm implementations
* feat: add unit tests and minor fixes
* feat: implement new BasePythonWrapper class for python wrappers.
Used to cache methods and contains invoke functionality
* feat: make python wrappers implement the new base class for pep8 style support
* feat: keep overriden methods in Algorithm Python Wrapper
* feat: add unit tests for custom models algorithms with PEP8 style
* Bump pythonnet version to 2.0.30
* fix bugs and address peer review
* Address peer review
* Minor revert
* feat: StubsIgnoreAttribute for ignoring members or classes by the stubs generator
* Minor fixes
* Minor fix
* Minor fix
* Bump pythonnet version to 2.0.31
* Added Greeks.Lambda_ alias of Lambda for python compatibility.
Remove unused method
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* Add support for auxiliary data history request
- Add support for split/dividends/margin interest history requests.
Adding regression algorithms
* Expand auxiliary history regression tests
Ricardo Andrés Marino Rojas