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* Minor indicator history fix
- Take into account warmup period when used, the last bar of the warmup
period is counted as a data point.
- Fix bug where in some cases the last data point could of been missed
and the indicator not updated with it
* Minor tweak
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* Default daily precise end times
- Enable by default daily precise end times. Updating stats
- Minor fix for algorithm manager consolidator updates, adding new regression test
asserting behavior and updating others
- Minor fix for SubscriptionData creator avoid round down on warmup if
not appropiate
- Adjust consolidators to emit on daily strict end times if requested
daily resolution and setting enabled
- Updating regression algorithms
* Skip daily data on extended market hours
* Some cleanup and self review
* Revert unrequired change
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* First draft of the solution
* Reduce duplication and add more properties
* Add regression tests
* Add xml docs
* Add unit tests
* Improve regression and unit tests
* Address requested changes
* Address request and improve unit tests
* Add unit test and fix bug
* Improve unit tests and implementation
* Nit change
* Address reviews
* Improve regression tests
* Address requests
* Fix bug
* Address requests
* Set best recommended model based on option style.
The best option model will be used in options indicators based on option style if not specified
* Reduced Greeks/IV numerical models steps to 100
* Minor fixes
* Minor changes and improvements
* Changed default pricing model for IV
* Minor performance improvements
* Minor performance improvements and fixes
* Minor change
* Minor regression algorithm fix
* Update greek indicators internal IV indicator only when not user provided
* Revert unnecessary changes
* Minor changes
* Cleanup
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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 fix for Mis-Aligned Timestamps from IndicatorHistory
- Minor fir for mis-Aligned Timestamps from IndicatorHistory. Adjusting
unit test to reproduce issue.
* Add another assert to indicator history tests
* 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
* 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
* Add algorithm unit tests
* Add Brokerage unit tests
* Add Common unit tests
* Fix unit test bugs
* Add remaining unit tests
* Address requested changes
* Address requested changes
* Fix failing unit test
* Address requested 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
* 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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* Minor api improvements
- Adding Universe.Selected to hold the current set of selected symbols.
Adding regression tests
- Adjusting TimeRules and DateRules to fallback to the MHDB if the
security hasn't been added. Updating existing regression tests
* Expand regression test assertion
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* Portfolio state chart
- Cleanup and renames
- Add series.IndexName. Uodating unit tests
- Add Chart.LegendDisabled. Adding new unit tests
- Add ChartPoint.Tooltip. Updating unit tests
- Minor compression tweak. Adding unit test
- Add ChartJsonConverter. Adding unit tests
* Minor chart serialization order tweak
* Refactor portfolio state sampling and storing
* Move PortfolioMargin into a lean side chart
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* Implement backtest self-naming and self-tagging
* Minor unit test fix
* Minor api changes
* Minor changes
* Send packet messages when algorithm's name or tags are updated
* Minor fixes
* Address peer review
* Backtest name and tags API calls
Plus, first version of CI for API tests
* Add endpoint to update a backtest set of tags
* Minor GH actions change
* Address peer review
* Add algorithm naming and tagging unit tests
* Minor backtest API changes
* Fix bug in ETFConstituentUniverseSelectionModel()
The bug was raised after calling an overload constructor using just the
ticker as parameter. Since the universeFilterFunc was null, the method
Extensions.TryConvertToDelegate<T> returned true and thus, the filter
func assigned was the one returned by the method
`ConvertToUniverseSelectionSymbolDelegate()` which used the null
filterfunc.
* Handle potential future bugs
* MaximumSharpeRatioPortfolioOptimizerTests
* MinimumVariancePortfolioOptimizerTests
* UnconstrainedMeanVariancePortfolioOptimizerTests
* Addressed comments
* Address comments v2
* Refactored tests with base test class. Added Python wrapper tests
Base test class and python wrapper tests
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* Add IV indicator
* Fix bug
* Add QCAlgorithm helper method
* Add unit tests
* Add OptionPricingModelType, as option for greeks & IV estimation
* Nit, and fix bug
* Address peer review
* Fix bug
* Fix bug on CRR
* Ensure test indicator initiate correctly
* Address 2nd review
* Check for FOPs and index options as well
* Add comparison with QuantLib
* CRR not follow BSM
* minor bug fix
* feat: new `TradingDaysPerYear` prop in IAlgorithmSettings
* feat: getTradingDayPerYear by BrokerageModel
feat: init algo tradingDaysPerYear in brokerage|BacktestingSetupHandler
refactor: nullable `TradingDayPerYear`
* remove: hardcoded value:252 in statistics
* test: `algorithm.Settings.TradingDaysPerYear` for different brokerage
fix: tests calculation of `AnnualPerformance()`
* fix: Report generator by tradingDayPerYear
* fix: hardcoded value in PortfolioStatisticsTests
* fix: tradingDayPerYear in AnnualPerformanceTest
remove: extra spacing
* feat: backwards compatibility for TradingDaysPerYear
* feat: several UTest for AlgoSetting's TradingDaysPerYear prop
* fix: existed algo + test
* feat: regression algo with checking of tradingDayPerYear in OnEndOfAlgorithm()
* refactor: GetBrokerageTradingDayPerYear -> SetBrokerage... in BaseSetupHandler
refactor: carry out tradingDayPerYear at the top level and pass variable
* remove: default valuine in test param
remove: extra comment.
* fix: missed init TradingDaysPerYear in report.portfolioAlgo
fix: hardcoded value to tradingDaysPerYear
* fix: nullable TradingDaysPerYear in AlgorithmConfiguration
feat: UTest for PortfolioLooperAlgo
feat: add advanced description
* feat: test PortfolioStatistics with different tradingDaysPerYear
* revert: PortfolioLooper with TradingDaysPerYear implementation
* revert: nullable TradingDaysPerYear in AlgoConfiguration
remove: SetBrokerageTradingDayPerYear in BaseResultHandler
* style: remove empty row
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* Plotting Limits Handling Improvements
- Improve the handling and enforcement of plotting limits
- Increase local default limits
* Minor plotting test fix
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* Update Future-cme-[*] and Future-cme-ES
Acoording to `pandas_market_calendars` there were some dates in
Future-cme-[*] who wasn't early_closes, so they needed to be removed
from there. On the other hand, the early closes list of Future-cme-ES were
shifted by 1 hour according to CME webpage. Besides, there were some
missing dates.
* Update CME Future entries in MHDB
* Rebase
* nit change
* Fix unit tests
* Resume after early close/halts
* Add missing dates in MHDB and fix bugs in it
* Fix bug, add more unit tests and add docs
* fix regression algos
* address required changes
* Update failing regression test stats
After debugging the tests it was found they were failing due to the last
change on SecurityExchangeHours.IsOpen(). That method wasn't taking into
account that even if there is a late open after an early close if the
timespan is after the early close but before the late open, the market
is still close.
* enhance solution
* Update and fix bugs in MHDB
* Address required changes and update stats
* Update stats after rebase
* Nit change
* Missing update to regression test
* Use MHDB instead of USHoliday for Expiration Dates
VIX expiry function now relies completely on MHDB. However, it had to be
created an entry in MHDB for VIX since there wasn't one for it. CBOE
webpage only provided 2023 holidays so only those dates were considered
in the Holidays entry in MHDB. Therefore, some unit tests failed so it
was necessary to change also the VIX entry in FuturesExpiryFunctionsTestData.xml.
* Remove Global.cs/USHolidays class
* Use a lazy implementation
* First draft of the solution
* Use MHDB in FuturesExpiryFunctions.cs
* Remove unused class and fix indentation errors
* Fix indentation errors
* Nit changes
* Merge branches 7501 and 7506
* Merge changes in 7501 and 7506
In order to check compatibility between those branches, a new branch
was created out of branch 7501 and then it was merged with branch 7506.
2 regression tests and 8 unit tests failed, the regression tests failed on
the DataPoint stats. On the other hand, the unit tests failed since the
default parameter UseEquityHoliday was removed from
FuturesExpirtyUtilityFunctions.AddBusinessDays() and from other methods in
the same class too.
* Add missing changes
* Remove repeated good fridays
* Address minor review
---------
Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
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* feat: ETFConstituentsModel overloading constructor
* test
* feat: new constructor of ETFConstituentsUniverse
test: support all constructor on c#
* feat: cached symbol in ETFConstituentsUniverse.py
test: validate getting symbol from cahed collection
* remove: extra ctor in ETFConstituentsUniverseSelectionModel
* refactor: add miss condition secType in py
refactor: rename out existTicker -> Symbol
refacotr: rewrite test
* feat: new ETFConstituentsFrameworkAlgos
* refactor: more neat ETFConstituentsAlgos
* fix: CompositeUniverse to SetUniverse
* Implement risk free interest rate as an algorithm model
* Use risk free insterest rate model in Sharpe Ratio indicator
* Address peer review
Also added python wrapper
* Take pyobject as interest rate model in Sharpe Ratio indicator
* Minor fix
* Minor fix
* Address peer review
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* Shortable modeling improvements
- Do not limit live trading because of shortable model, will send
algorithm warning
- Add Interactive brokers shortable provider
- Minor LocalDiskShortableProvider API changes
* Fix shorted order update
- Fix shorted order update. Updating regression algorithm
* Minor improvement
* Address reviews
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- Once a security has been delisted or no longer selected by any
universe it will be remove from the main algorithm securities
collection but kept in the new Complete collection, this improves
performance in long running backtests where security collection can
get enumerated in different cases
- Minor refactor for security exchange local time to avoid having to set
it explicitly
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* New Fundamental Data
* Minor CIK lookup fix
* Handle live mode & delete unexisting properties
* Minor coarse fundamental adjustment
* Add fundamental history support
* Fix unit tests
* Performance improvements
* Fixes
* Minor regression algorithm fix
* Improvements. Add FundamentalUniverseSelectionModel
* Change default values
* Fix unit test
* Minor tweaks
* Fix unit test
* Minor error handling improvement
* Fix rebase
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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
* Set default always open market hours entry for base security without subscription
Also return proper matching subscription for custom data symbols wihtout subscription.
* Minor changes
* Minor change
Ricardo Andrés Marino Rojas