Build & Test Lean / build (push) Has been cancelled
Regression Tests / build (push) Has been cancelled
Report Generator Tests / build (push) Has been cancelled
Research Regression Tests / build (push) Has been cancelled
Syntax Tests / build (push) Has been cancelled
Python Virtual Environments / build (push) Has been cancelled
* Refactor optimization result stats serialization
* Handle custom optimization statistics serialization
* Support custom statistics
* Support newest Lean statistics
Address peer review
* Add more tests
* Make indices reserved statistic names
* Minor fixes and cleanup
Build & Test Lean / build (push) Has been cancelled
Regression Tests / build (push) Has been cancelled
Research Regression Tests / build (push) Has been cancelled
Python Virtual Environments / build (push) Has been cancelled
* 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
Build & Test Lean / build (push) Has been cancelled
Regression Tests / build (push) Has been cancelled
Research Regression Tests / build (push) Has been cancelled
Python Virtual Environments / build (push) Has been cancelled
* Plotting Limits Handling Improvements
- Improve the handling and enforcement of plotting limits
- Increase local default limits
* Minor plotting test fix
Build & Test Lean / build (push) Has been cancelled
Regression Tests / build (push) Has been cancelled
Research Regression Tests / build (push) Has been cancelled
Python Virtual Environments / build (push) Has been cancelled
* 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
* Make statistics available at runtime to algorithms
* Re-calculate statistics on every call
* Housekeeping
* Add regression algorithms
* Address peer review
* Support for custom summary statistics at runtime
* Minor changes
* Address peer review
* Address peer review
* Minor changes
* Minor changes
* Fix live trading chart series index
- Fix Series loosing their index when handled by the
LiveTradingResultHandler
- Some clean up for Series.cs
* Fix SeriesSampler loosing Series settings
Build & Test Lean / build (push) Has been cancelled
Regression Tests / build (push) Has been cancelled
Research Regression Tests / build (push) Has been cancelled
* 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
Regression Tests / build (push) Has been cancelled
Build & Test Lean / build (push) Has been cancelled
* Update charts that are not empty and not default values
* Testing
* Filter final results
* Explicitly filter alpha charts if not needed
* Use filtered charts for Live results handler
* Refactor solution to manage alpha charts internally by creator
* nit comment fixes
* Implement drawdown as default chart
* Implement Capacity Estimate for backtest default chart
* Add default values to QC.Plotting
* Adjust drawdown calculation
* Only sample "Capacity" once a day
* Implement Volume chart
* Nit fixes
* Volume Chart adjustments and fixes
* Rename to "Assets Sales Volume"
* Implement Exposure Sampling
* Store algorithm currency symbol, round capacity to nearest 1k
* Add new plots to default charts
* nit change name
* Address reviews
* Reduce duplication and clean up exposure sampling
* Address reviews
* Improve sample exposure
* Address review
* Only enumerate holdings once
* nit - comments
* Post rebase fix
* Don't need to round anymore
- Adding new `AlgorithmSettings` Min and Max absolute portfolio target
percentage
- Adding new `PortfolioConstructionModel.FilterInvalidInsightMagnitude()`
helper method that will be used by the `BlackLitterman` and
`MeanVariance` optiomization portfolio construction models to skip
insights with extreme magnitudes that will cause exceptions
- `PortfolioTarget.Percentage()` will now verify requested percent is
withing the settings values
- Using `Aggregate(lambda)` vs `Sum(lambda)` since the later is slower
due to performing an extra `Select`
- For `QCAlgorithm.Framework.OnFrameworkData()` will avoid calling
`ToArray()` on empty `Enumerables` due to its cost * the number of
calls. If the `Enumerable` is the empty instance, which is static,
will create a new empty array and return it instead.
- Replacing `SecurityIdentifier` `SecurityType` and `GetHashCode`
implementations for `Lazy` versions, that are performed just once, since
these values do not change and are used multiple times.
- For the different `DataDictionary<T>` implementations adding `this[
Symbol] get; set` since existing overload `this [string]` produces an
extra round operations `Symbol->string->Symbol` with a significant
impact.
- Adding `PortfolioTargetCollection.AddRange()` overload using an array
to avoid unnecessary convertions.
Modifies the way we sample charts to be more like the equity sampling that we do.
In this case, we compute a sampling period based off of 1000 samples for the entire
backtest. In live mode, we'll just sample each minute.
Adding a scatter plot is an involved process because there's not
direct and easy way to just define a series object. This change
allows an algorithm to simply define the series without pumping
any data into it. This allows the user to set the series type and
the unit for the series
Refactors existing consolidators, indicators, and helper methods to depend on
IBaseData instead of BaseData. These updates also defines an IBaseDataBar to
act as an abstraction point between TradeBar and QuoteBar.
Jhonathan Abreu