import typing import QuantConnect.Data.UniverseSelection import QuantConnect.Algorithm.Framework.Portfolio import QuantConnect.Algorithm.Framework.Execution import QuantConnect.Algorithm import QuantConnect import Python.Runtime import datetime # no functions # classes class ExecutionModel(System.object, QuantConnect.Algorithm.Framework.INotifiedSecurityChanges, QuantConnect.Algorithm.Framework.Execution.IExecutionModel): """ Provides a base class for execution models ExecutionModel() """ def Execute(self, algorithm: QuantConnect.Algorithm.QCAlgorithm, targets: typing.List[QuantConnect.Algorithm.Framework.Portfolio.IPortfolioTarget]) -> None: pass def OnSecuritiesChanged(self, algorithm: QuantConnect.Algorithm.QCAlgorithm, changes: QuantConnect.Data.UniverseSelection.SecurityChanges) -> None: pass class ExecutionModelPythonWrapper(QuantConnect.Algorithm.Framework.Execution.ExecutionModel, QuantConnect.Algorithm.Framework.INotifiedSecurityChanges, QuantConnect.Algorithm.Framework.Execution.IExecutionModel): """ Provides an implementation of QuantConnect.Algorithm.Framework.Execution.IExecutionModel that wraps a Python.Runtime.PyObject object ExecutionModelPythonWrapper(model: PyObject) """ def Execute(self, algorithm: QuantConnect.Algorithm.QCAlgorithm, targets: typing.List[QuantConnect.Algorithm.Framework.Portfolio.IPortfolioTarget]) -> None: pass def OnSecuritiesChanged(self, algorithm: QuantConnect.Algorithm.QCAlgorithm, changes: QuantConnect.Data.UniverseSelection.SecurityChanges) -> None: pass def __init__(self, model: Python.Runtime.PyObject) -> QuantConnect.Algorithm.Framework.Execution.ExecutionModelPythonWrapper: pass class IExecutionModel(QuantConnect.Algorithm.Framework.INotifiedSecurityChanges): """ Algorithm framework model that executes portfolio targets """ def Execute(self, algorithm: QuantConnect.Algorithm.QCAlgorithm, targets: typing.List[QuantConnect.Algorithm.Framework.Portfolio.IPortfolioTarget]) -> None: pass class ImmediateExecutionModel(QuantConnect.Algorithm.Framework.Execution.ExecutionModel, QuantConnect.Algorithm.Framework.INotifiedSecurityChanges, QuantConnect.Algorithm.Framework.Execution.IExecutionModel): """ Provides an implementation of QuantConnect.Algorithm.Framework.Execution.IExecutionModel that immediately submits market orders to achieve the desired portfolio targets ImmediateExecutionModel() """ def Execute(self, algorithm: QuantConnect.Algorithm.QCAlgorithm, targets: typing.List[QuantConnect.Algorithm.Framework.Portfolio.IPortfolioTarget]) -> None: pass def OnSecuritiesChanged(self, algorithm: QuantConnect.Algorithm.QCAlgorithm, changes: QuantConnect.Data.UniverseSelection.SecurityChanges) -> None: pass class NullExecutionModel(QuantConnect.Algorithm.Framework.Execution.ExecutionModel, QuantConnect.Algorithm.Framework.INotifiedSecurityChanges, QuantConnect.Algorithm.Framework.Execution.IExecutionModel): """ Provides an implementation of QuantConnect.Algorithm.Framework.Execution.IExecutionModel that does nothing NullExecutionModel() """ def Execute(self, algorithm: QuantConnect.Algorithm.QCAlgorithm, targets: typing.List[QuantConnect.Algorithm.Framework.Portfolio.IPortfolioTarget]) -> None: pass class StandardDeviationExecutionModel(QuantConnect.Algorithm.Framework.Execution.ExecutionModel, QuantConnect.Algorithm.Framework.INotifiedSecurityChanges, QuantConnect.Algorithm.Framework.Execution.IExecutionModel): """ Execution model that submits orders while the current market prices is at least the configured number of standard deviations away from the mean in the favorable direction (below/above for buy/sell respectively) StandardDeviationExecutionModel(period: int, deviations: Decimal, resolution: Resolution) """ def Execute(self, algorithm: QuantConnect.Algorithm.QCAlgorithm, targets: typing.List[QuantConnect.Algorithm.Framework.Portfolio.IPortfolioTarget]) -> None: pass def OnSecuritiesChanged(self, algorithm: QuantConnect.Algorithm.QCAlgorithm, changes: QuantConnect.Data.UniverseSelection.SecurityChanges) -> None: pass def __init__(self, period: int, deviations: float, resolution: QuantConnect.Resolution) -> QuantConnect.Algorithm.Framework.Execution.StandardDeviationExecutionModel: pass MaximumOrderValue: float SymbolData: type class VolumeWeightedAveragePriceExecutionModel(QuantConnect.Algorithm.Framework.Execution.ExecutionModel, QuantConnect.Algorithm.Framework.INotifiedSecurityChanges, QuantConnect.Algorithm.Framework.Execution.IExecutionModel): """ Execution model that submits orders while the current market price is more favorable that the current volume weighted average price. VolumeWeightedAveragePriceExecutionModel() """ def Execute(self, algorithm: QuantConnect.Algorithm.QCAlgorithm, targets: typing.List[QuantConnect.Algorithm.Framework.Portfolio.IPortfolioTarget]) -> None: pass def OnSecuritiesChanged(self, algorithm: QuantConnect.Algorithm.QCAlgorithm, changes: QuantConnect.Data.UniverseSelection.SecurityChanges) -> None: pass MaximumOrderQuantityPercentVolume: float SymbolData: type