* Fix pandas converter to handle list of data with different symbols
* Properly convert list of data into dataframe
Take into consideration data for multiple symbols in the same list
* Cleanup
* Index dataframes by symbol object instead of SID string
* Add symbol equality operator to compare against object
* Exclude "ID" from option chain dataframe
* Minor fix
* Add greeks columns directly in option chain dataframe.
Also add pass-through properties for greek values in OptionUniverse
* Some cleanup
* Minor fix
* Add new QCAlgorithm.OptionChains() method
- Use OptionChains as output
- Add DataFrame to OptionChain and OptionChains
- Rename Greeks classes
- Add ISymbolProvider for classes that have a symbol (IBaseData, OptionContract)
* Unify QCAlgorithmOptionChain API
Also refactor OptionContract to handle: (1) Actual market data and option price model data, and (2) OptionUniverse data
* Pass symbol properties to OptionUniverse option chain from algorithm
* Format OptionContract for dataframe
* Minor fix
* Add multiple option chains api regression algorithms and other minor changes
* Address peer review
Add NullGreeks class: keep ModeledGreeks as internal as possible
* Minor fix and add PandasConverter unit tests
* Peer review: Non-thread-safe Lazy for Python
* Handle Greeks unwrapping by PandasData
* PandasData cleanup
* Add data and other minor changes
* Unit test fix
* Update Pythonnet to 2.0.39
* Cleanup
* PandasData handling children class members
Address peer review
* Fix: indexing symbol conversion in pandas mapper
* Fix pandas mapper to convert string keys to symbol only when necessary
* Cleanup
* Cleanup
* Add PandasColumn python class to handle proper indexing
This allows propery hash and equality between Symbols, C# strings and Python strings
* Minor fixes
* Symbol cache improvements
* Minor fix for cache miss
* Revert PandasMapper reserved names and improvements
* Minor fix
* Revert reserved names
* Minor fix for Symbol equality operators
---------
Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
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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
* 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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- 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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* 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
* 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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* Add Sortino ratio to statistics and report
* Adds Sortino Ratio to Report Key Statistics
* Addresses Peer-Review
Reuse `SharpeRatioReportElement` and change the template.
* Reuse Calculations Across Statistics and PortfolioStatistics
* Adds Sortino Ratio to Regression Algorithms
* Removes Sortino Ratio from Optimization Result Table
---------
Co-authored-by: Alexandre Catarino <AlexCatarino@users.noreply.github.com>
* Add support for null chart points
- Add support for null value chart points, updating existing and adding
new unit tests
* Minor selfreview tweaks
* Address review & fix deserialization bug
* Ignore null values when using NullResultValueTypeJsonConverter
* Narrow NullResultValueTypeJsonConverter conversion support
* Allow inherit of series sampler
* 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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* 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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* Support sourcing custom data from ObjectStore
* Add Python regression algorithm
* Wire engine to pass ObjectStore down to the stream readers
* Minor changes
* Minor unit tests fixes
* Remove unused SetupHandlerParameters.ObjectStore
* Minor changes
* Minor changes
* Support single-file zipped data to be sourced from object store
* Assert object store custom data history requests in regression algorithms
* Add custom object store data live data feed unit test
* Add multi-file object store custom data regression algorithms
* Minor fix
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* Candlestick charts base implementation
* Series and Candlestick series json serialization
* Some cleanup
* Add AddPlot method for candlestick series to QCAlgorithm
* Remove Values property from ISeriesPoint
* Add candlestick QCAlgorithm.Plot trade bar methods
* Implement candlestick series re-sampling
* Add more SeriesSampler unit tests
* Add examples of candlestick charts usage to exisiting charting algorithm
* Address peer review
* Address peer review
* Derive Candlestick from Bar
* Sampler changes
* Add new series types from the cloud
* Add more candlestick series sampler tests
* Minor cleanup
* Minor changes
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* Solve bug in the parameters of the Report
Before, when the number of keys were odd a part of the raw template was
shown in the report generated. Additionally, the user couldn't define
the number of columns of the parameters table
* Add unit tests
* Enhance unit tests
* Nit change
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* Add support for custom HTML file in Report
* Add support for custom crisis HTML template
* Revert "Add support for custom crisis HTML template"
After considering this option carefully, the QC team has decided to
add this functionality in a different way.
This reverts commit aead1ff8504556417e9dffadb33b06c7599ab87a.
* Get parameters and crisis HTML custom templates
* Move parameters html template to a file
* Nit change
* Remove template.crisis.html and add unit tests
* Nit change
* Nit change
* Add unit tests for the fail cases
* Add algorithm configurations to Report
* Add just Parameters section in the Report
* Revert "Add just Parameters section in the Report"
This reverts commit 775255127a212db81fc1cc1e23a35b7c60214eac.
* Include just AlgorithmConfiguration.Parameters
* Create ParametersReportElement
* Generate parameters into HTML dynamically
* Enable the user to modify CSS content throu
* Enable CSS override file to be passed through cmdline
* Check CSS Override file exists
* Fix bugs
* Address required changes
* Address required changes
* Address required changes
* Add security dynamic properties unit and regression tests.
These assert that dynamic properties that are instances of python classes that inherit c# classes keep their python object references.
* Minor change
* Bump pythonnet version to 2.0.21
* Fix security dynamic properties cast from PyObject
* Minor change
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* Dynamic security properties for quick objects storage
* Documentation and other minor changes
* Add Security indexer to access custom properties
* Address peer review
* Minor changes
* Improve regression algorithms
* Bumped pythonnet to version 2.0.19
* Bumped pythonnet to version 2.0.20
* Address peer review
* Fix bug in Beta statistics
- Beta in Report was calculated using equity points and not daily
performance points, as it's done in Backtest
- Performance points were not being divided by 100, as it's done in
StatisticsBuilder
- Benchmark points were not being converted into a percentage daily
performance of the benchmark, as it's done in StatisticsBuilder
* Improve implementation and add unit tests
* Enhance implementation and add more unit tests
* Enhance implementation
* Nit change
* Nit changes
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* Solve bug
Remove if sentence that checked if Portfolio contained securities that
needed a conversion, like Forex, Crypto or Cfd. It didn't take into
account CryptoFutures so when the backtest result used that kind of
security types it never found a conversion for them. Making a git blame
for Report.PortfolioLooper constructor it was found the if sentence was
not needed so it was removed and then different reports were made for
algorithms that used security types different than Forex,Crypto,Cfd and
CryptoFutures to check everything was still working as expected.
* Solve bug
Remove if sentence that checked if Portfolio contained securities that
needed a conversion, like Forex, Crypto or Cfd. It didn't take into
account CryptoFutures so when the backtest result used that kind of
security types it never found a conversion for them. Making a git blame
for Report.PortfolioLooper constructor it was found the if sentence was
not needed so it was removed and then different reports were made for
algorithms that used security types different than Forex,Crypto,Cfd and
CryptoFutures to check everything was still working as expected.
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* Fix ReportCharts color_map bug
- Add ´CryptoFuture´ entry in `color_map` dict using color #E55812
- Make ´ReportCharts.py´ color_map a class attribute
- Change ´ReportChartsTests.cs´ to use color_map dict from ´ReportCharts.py´
- Add unit test that fails every time a new SecurityType is added
* Improve unit test
* Nit change
* Nit change
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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
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* add wkhtmltopdf to lean image
* convert html to pdf
* avoid black stripts at bottom of each page
* address reviews
* address review
* address reviews
* self review
* address review
* Feature combo orders
- Add support for combo orders
* Make fill model wait for all grouped orders to emit fills
* Add ComboFill to model multiple fills for combo orders
* Fill combo limit orders
Add some regression algorithms
* Add fill implementation for combo leg limit orders
* Add IFill as common interface for Fill and ComboFill
* Refactor combo orders removing IGroupOrder interface
Move the group order manager to the base Order class
* Update algorithms
* Handle combo order events atomically
* Refactor brokerage transaction event handler
* Refactor combo fill models
* Process fills in batch
* Combo orders fill model tests
* Combo leg limit orders algorithm
* Regression algorithms cleanup
* Fill and combo fill classes cleanup
* Housekeeping
* Refactor equity fill model to derive from base fill model
* Address review changes request
* Handling the new types of orders in the OrderJsonConverter
* Add regression algorithm to test combo orders update/cancel
* Add regression algorithm to test combo orders update/cancel
* Housekeeping
* Address review changes request
* Minor changes
* Security transaction handler method for setting order request id
* Extend public interface for placing combo orders
* Combo order tickets demo algorithm python version
* Tweaks and updates
* Minor fixes
* Minor changes
* Minor fixes
* Address reviews minor fixes
* Minor fixes
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
Jhonathan Abreu