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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>
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* Add algorithm settings to backtest results
* Use algorithm result settings in report generation
* Add unit tests
* Housekeeping
* Changes for live result report
* Housekeeping
* Housekeeping
* Housekeeping
* Add unit tests
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* Fix KeyError when rendering exposure chart in report with some security types
* Update exposure chart colors and add unit tests
* Updated json test file
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* Apply changes from #2146 on current master
Credit for most of these changes goes to https://github.com/viliwonka.
Rebasing three years of changes didn't go so well, so I manually
applied the changes in #2146 on the current master branch.
This commit attempts to represent the changes in #2146 as closely as
possible, no cleanup has been performed yet. Despite this, some changes
were inevitable because part of #2146 has been implemented another way
in the past three years.
* Clean up
* Process review comments
* Add tests
* symbol -> potentialConversionRateSymbol
* Ensure regression tests run/get data
* Fix broken test
* Process review comments
* Process review comments
* Simplify currency conversion logic
* Performance improvement, doc updates and test rename
* Rebase fixes
* Remove obsolete properties
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
* Update projects to use .NET 5.0, the successor to .NET Core
* Fix ambiguous errors. Add IBAutomator net5
* Remove FXCM
* Upgrade IBAutomater to v1.0.51
ignored, and an empty message aborts the commit.
* Fix rebase
- Fix ambiguous Index
- Remove StrategyCapacity.cs
- Update System.Threading.Tasks.Extensionsy
* Remove unrequired references
* Fixes
- Travis will use dotnet, not nunit nor mono
- Remove mono from foundation image
- Fix python setup in research
- Fix unit tests
* Don't call ReadKey when input is redirected
* Fix ConsoleLeanOptimizer
* Research fixes
* Update comment
* Add vsdbg to Dockerfile
* Fixes
- Revert dockerfile FROM custom changes
- Adjust and fix regression algorithms
- Option assignment will be deterministic in the order
- 'Rolling Averaged Population' is calculated using doubles, updating
expected values.
- Update readme, removing references to mono
- Add missing Py.Gil lock
* Replace ICSharp with .NET Interactive
* Fixes after rebase
* CSharp research fixes
- Adding new Initialize.csx that pre loads all assemblies
- Adjusting template research file
- Moving steps in dockerfilejupyter
- Fix unit tests and regression tests after rebase
Co-authored-by: Gerardo Salazar <gsalaz9800@gmail.com>
Co-authored-by: Stefano Raggi <stefano.raggi67@gmail.com>
Co-authored-by: Jasper van Merle <jaspervmerle@gmail.com>
* Update to new QC PythonNet
* Update readme
* Remove Python.Runtime config, replaced by env var
* Allow local packages testing in repo
* Address Review
* Add the LocalPackages readme
* Update Jupyter Image
* Update Research ReadMe
* Adds CapacityEstimate and SymbolCapacity
The capacity estimation has been moved from
the report generator and wired directly into
Lean via the ResultHandler. In addition,
the capacity estimation strategy has changed
to account for errors in the previous iteration
of the capacity estimation.
Many many thanks to Jared for being much of the
mastermind behind this project. It would have
been harder to complete without him to bounce ideas
off of.
* Moves old tests to regression algorithms
* Adds Estimated Capacity statistic
* Removes old capacity estimation tests
Final report capacity estimation. Pushing to save state
* Fixes bugs, cleans up code and adds comments
* Adds forced sampling to Capacity Estimation
* Misc. bug fixes for daily data
* Updates capacity test cases' Estimated Strategy Capacity statistic
* Adds Capacity Estimate to all regression algorithms
* Removes Report's StrategyCapacity class and fixes bug in tests
* Adds null check in BacktestingResultHandler to fix
BacktestingTransactionHandler failing tests
* Deletes old capacity estimation classes
* Retrieve capacity estimates from backtest statistics results
instead of calculating at runtime
* Make $0.00 capacity return as "-" and Result = 0 in report
* Adds capacity to runtime statistics
* Converts capacity to number denoted by financial figures in RuntimeStats
* Addresses review: code cleanup for Capacity and adds comments to regression tests
* Fixes potential mapping issue, caused by not mapping Symbols before
reading data off disk
* Fixes issue where some results would evaluate to zero capacity
* Loads of refactoring, mostly resulting in cleaner code
* To maintain consistency between calculations, we will use
the end of day equity value to calculate the returns per day.
This fixes a bug where daily equity series would zero out and result
in an exception being thrown since no elements were being passed to
the Sharpe calculation.
* Calculate PSR for live algorithms in report generator
* Use live series for calculating of CAGR, Max DD, and PSR
* Removes Kelly Estimate from report and template.html
* Update template.html
* Rolling Beta bug fix when using daily data
* Max drawdown output as percent
* Make days live report element use equity curve last day instead of today
Co-authored-by: Jared <jaredbroad@gmail.com>
Martin-Molinero