StrategyParamHelper — StockSharp Documentation

CanOptimize

public static bool CanOptimize(Type type)

result = StrategyParamHelper.CanOptimize(type)

Check can optimize parameter.

type: The type of the parameter value.

Returns: , if can optimize the parameter, otherwise, .

CreateParam

public static IStrategyParam CreateParam(Type type, string id)

result = StrategyParamHelper.CreateParam(type, id)

Create parameter.

type: Type
id: Id

Returns: IStrategyParam

GetIterationsCount

public static int GetIterationsCount(IStrategyParam param)

result = StrategyParamHelper.GetIterationsCount(param)

Get the number of optimization iterations for the parameter.

param: IStrategyParam

Returns: Number of iterations.

GetName

public static string GetName(IStrategyParam param)

result = StrategyParamHelper.GetName(param)

Get the parameter name.

param: IStrategyParam

Returns: Display name.

GetOptimizationValues

public static IEnumerable<object> GetOptimizationValues(IStrategyParam param)

result = StrategyParamHelper.GetOptimizationValues(param)

Get all optimization values for the parameter.

param: IStrategyParam

Returns: Enumerable of all optimization values.

GetRandom

public static object GetRandom(IStrategyParam param)

result = StrategyParamHelper.GetRandom(param)

Generate a random value within the optimization range for the parameter.

param: IStrategyParam

Returns: Random value within the optimization range.

GetRandomValues

public static HashSet<object> GetRandomValues(IStrategyParam param, int count)

result = StrategyParamHelper.GetRandomValues(param, count)

Generate a set of unique random values for the parameter.

param: IStrategyParam
count: Number of random values to generate.

Returns: Set of unique random values.

GetRandomValues``1

public static HashSet<T> GetRandomValues<T>(StrategyParam<T> param, int count)

result = StrategyParamHelper.GetRandomValues(param, count)

Generate a set of unique random values for the parameter.

param: StrategyParam
count: Number of random values to generate.

Returns: Set of unique random values.

GetRandom``1

public static T GetRandom<T>(StrategyParam<T> param)

result = StrategyParamHelper.GetRandom(param)

Generate a random value within the optimization range for the parameter.

param: StrategyParam

Returns: Random value within the optimization range.

ToBruteForce

public static IEnumerable<ValueTuple<Strategy, IStrategyParam[]>> ToBruteForce(Strategy strategy, IStrategyParam[] parameters, IStrategyParam[] optimizedParams, int totalCount)

result = StrategyParamHelper.ToBruteForce(strategy, parameters, optimizedParams, totalCount)

Generate all strategy clones with parameter permutations for brute force optimization.

strategy: The base strategy to clone.
parameters: The parameters to optimize.
optimizedParams: Output: all parameters involved in optimization.
totalCount: Output: total number of iterations.

Returns: Lazy enumerable of strategy clones with their parameter arrays.

ToBruteForce

public static IEnumerable<ValueTuple<Strategy, IStrategyParam[]>> ToBruteForce(Strategy strategy, IEnumerable<ValueTuple<IStrategyParam, IEnumerable>> parameters, IStrategyParam[] optimizedParams, int totalCount)

result = StrategyParamHelper.ToBruteForce(strategy, parameters, optimizedParams, totalCount)

Generate all strategy clones with parameter permutations for brute force optimization. Supports explicit value lists for parameters like Security, DataType.

strategy: The base strategy to clone.
parameters: The parameters with optional explicit values to use instead of range.
optimizedParams: Output: all parameters involved in optimization.
totalCount: Output: total number of iterations.

Returns: Lazy enumerable of strategy clones with their parameter arrays.

ToBruteForceRandom

public static IEnumerable<ValueTuple<Strategy, IStrategyParam[]>> ToBruteForceRandom(Strategy strategy, IStrategyParam[] parameters, int randomCount, IStrategyParam[] optimizedParams, int totalCount)

result = StrategyParamHelper.ToBruteForceRandom(strategy, parameters, randomCount, optimizedParams, totalCount)

Generate all strategy clones with random parameter values for brute force optimization.

strategy: The base strategy to clone.
parameters: The parameters to optimize.
randomCount: Number of random samples per parameter.
optimizedParams: Output: all parameters involved in optimization.
totalCount: Output: total number of iterations.

Returns: Lazy enumerable of strategy clones with their parameter arrays.

ToGeneticParameters

public static ValueTuple<IStrategyParam, object, object, object, IEnumerable>[] ToGeneticParameters(Strategy strategy, IStrategyParam[] parameters)

result = StrategyParamHelper.ToGeneticParameters(strategy, parameters)

Convert strategy parameters to genetic optimizer format.

strategy: The strategy with parameters.
parameters: The parameters to optimize.

Returns: Array of tuples suitable for CancellationToken).

ToGeneticParameters

public static ValueTuple<IStrategyParam, object, object, object, IEnumerable>[] ToGeneticParameters(Strategy strategy, IEnumerable<ValueTuple<IStrategyParam, IEnumerable>> parameters)

result = StrategyParamHelper.ToGeneticParameters(strategy, parameters)

Convert strategy parameters to genetic optimizer format with explicit values support.

strategy: The strategy with parameters.
parameters: The parameters with optional explicit values to use instead of range.

Returns: Array of tuples suitable for CancellationToken).