A mechanical refactoring was performed to make algorithms currently used in
regression algorithms to implement IRegressionAlgorithmDefinition, which allows
algorithms to define their own expected statistics and what languages should be
run as part of regression. The type name of the C# type is used to determine the
file/model name for python. This was for simplicity, but if needed, could later be
refactored to expose more information, but for now the convention of keeping names
the same makes sense and just works easily.
This change allows the universe selection model to select different universe
definitions as time proceeds. This enables the definition of a universe model
that, for example, could add option chains for securities selected by a different
universe model.
The BasicTemplateOptionsFrameworkAlgorithm was added to showcase and provide
regression for a universe model that selects different universes.
Adds the concept of universe disposal which is requested by an algorithm
through invocation of UniverseManager.Remove, which is invoked via
algorithm.RemoveSecurity. This instructs the data feed that the algorithm
has requested to completely remove the universe and any child subscriptions
from the feed. Security changes are fired for all removed securities.
Provides demonstration algorithm showing the steps required to convert a
QCAlgorithm into the framework with minimal code changes.
1. Subclass QCAlgorithmFrameworkBridge
2. Add EmitInsights calls to where orders are placed
3. Profit :)
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.
The PairsTradingAlphaModel is a simple example of defining an insight
grouping. Insights that are grouped together are assigned a unique
group-id that can be used by the portfolio construction model.
Updates were made to the CommonAlphaModelTests to give more control to
derived types. Some changes are still needed here to give securities
unique prices. I would recommend using a psuedo-random walk approach
by using Random with a constant seed value.
Launcher project is packed as `QuantConnect.Lean`but as a mean ot having all Lean features just calling one package.
In the same sense, `QuantConnect.Algorithm.CSharp` is included as package and added as dependecy in the `QuantConnect.Lean` package just to have a working example aailable out-of-the-box.
The ScheduledUniverseSelectionModel wraps the new ScheduledUniverse.
ScheduledUniverse is similar to the UserDefinedUniverse we use to create
universes for dopbox/remote files w/ symbol listing. The new abstraction
that 'turns on' this no-data/scheduled based universe behavior is the
ITimeTriggeredUniverse, which exposes GetTriggerTimes which yields the
date/times your univese selection function will be called.
A regression algorithm was also added to cover the new feature.
VWAP will submit market orders while the current price is more favorable than VWAP.
STD will submit market orders while the current price is a configured number of
standard deviations away from the mean in the favorable direction.
- Adds log to display the python version the algorithm is using.
- Fixes python algorithms that were failing because of small subtleties
like leading zeroes.
- Updates pythonnet with a version compiled with python 3.6 flags
- Changes in DockerfileFoundation: we now use miniconda to manage the python
environment.
- Took the opportunity to add NTLK (#1349), Tensorforce (#1369) and
PyTorch/Pyro (#1385).
- Changes readme in Algorithm.Python to show steps to install miniconda
In this update, methods overloads with decimal parameters accept python float.
- Fixes FractionalQuantityRegressionAlgorithm:
With the pythonnet update we can pass a python float where a decimal is required.
Michael