Renames CoarseUniverseTop5DollarVolumeAlgorithm.cs to CoarseFundamentalTop5Algorithm.cs: fine name was unconsistent with class name (not a QuantConnect pattern).
Adds Log method calls to python algorithm that are present in C# example.
Subscribe to daily data instead of minute-resolution to be able to run tests locally. Also, liquidate the position in one of the event handlers to generate more trades.
- Adds regression test for that algorithm.
Adding an overload to `ScheduleManager.On` method that accepts a `PyObject` parameter enables python algorithm to pass a method as parameter directly.
- Fixes `ScheduleEventsAlgorithm` to show the new feature in action.
LastFillTime is updated on each partial/fill order event
LastUpdateTime is updated on each submitted order event w/ update count > 0
CancelTime is updated on canceled order events
Also fixes bug in regression algorithm where it used Time instead of UtcTime
for creating the SubmitOrderRequest object.
- removed IAlgorithm dependency from time in force handlers
- renamed GoodTilCancelled to GoodTilCanceled
- added GTC time in force in regression algorithms
- inlined initialization of time in force handler dictionary
- Use `MaximumDrawdownPercentPerSecurity` as `RiskManagementModel`.
- Modifies regression test to reflect risk model choice
- Use SetXXX to set models in python version
- Missing `event` keyword prevented pythonnet to recognize `DataConsolidated` as a event handler.
- Adds python version of `RenkoConsolidatorAlgorithm`.
1. `HistoricalReturnsAlphaModel`:
1. Adds lookback period for return calculation
2. Adds return-depend direction to insights
3. Refactors indicator history warm-up
2. `MeanVarianceOptimizationPortfolioConstructionModel`:
1. Adds lookback period for return calculation
2. Adds exception for null magnitude
3. Refactors indicator history warm-up
3. Other minor fixes:
1. Default target return was 2 instead of 0.02 (2%)
2. Proper removal of consolidator subscriptions
This framework algorithm alpha model is HistoricalReturnsAlphaModel and the portfolio construction model is MeanVarianceOptimizationPortfolioConstructionModel.
This examples implements an algorithm that rebalances the portfolio according to modern portfolio theory.
Jared