Enum StochasticsDMethod 

#[repr(C)]
pub enum StochasticsDMethod {
    Ratio = 0,
    MovingAverage = 1,
}

Method for calculating %D in the Stochastics indicator.

The %D line is the smoothed version of %K and can provide trading signals. Two calculation methods are supported:

• Ratio: Original Nautilus method using 100 * SUM(close-LL) / SUM(HH-LL) over period_d. This is range-weighted and has less lag than MA-based methods.
• MovingAverage: Uses MA of slowed %K values, compatible with cTrader/MetaTrader/TradingView implementations.

Variants

Ratio = 0

Ratio: Nautilus original method: 100 * SUM(close-LL) / SUM(HH-LL) over period_d. This is range-weighted and has less lag than MA-based methods.

MovingAverage = 1

MA method: MA(slowed_k, period_d, ma_type). This produces values compatible with cTrader/MetaTrader/TradingView implementations.

Implementations

impl StochasticsDMethod

pub const fn from_repr(discriminant: usize) -> Option<StochasticsDMethod>

Try to create Self from the raw representation

Trait Implementations

impl AsRef<str> for StochasticsDMethod

fn as_ref(&self) -> &str

Converts this type into a shared reference of the (usually inferred) input type.

impl Clone for StochasticsDMethod

fn clone(&self) -> StochasticsDMethod

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for StochasticsDMethod

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for StochasticsDMethod

fn default() -> StochasticsDMethod

Returns the “default value” for a type.

impl Display for StochasticsDMethod

fn fmt(&self, f: &mut Formatter<'_>) -> Result<(), Error>

Formats the value using the given formatter.

impl FromStr for StochasticsDMethod

type Err = ParseError

The associated error which can be returned from parsing.

fn from_str(s: &str) -> Result<StochasticsDMethod, <Self as FromStr>::Err>

Parses a string s to return a value of this type.

impl Hash for StochasticsDMethod

fn hash<__H: Hasher>(&self, state: &mut __H)

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl IntoEnumIterator for StochasticsDMethod

type Iterator = StochasticsDMethodIter

fn iter() -> StochasticsDMethodIter

impl<'py> IntoPyObject<'py> for StochasticsDMethod

type Target = StochasticsDMethod

The Python output type

type Output = Bound<'py, <StochasticsDMethod as IntoPyObject<'py>>::Target>

The smart pointer type to use.

type Error = PyErr

The type returned in the event of a conversion error.

fn into_pyobject( self, py: Python<'py>, ) -> Result<<Self as IntoPyObject<'_>>::Output, <Self as IntoPyObject<'_>>::Error>

Performs the conversion.

impl Ord for StochasticsDMethod

fn cmp(&self, other: &StochasticsDMethod) -> Ordering

This method returns an Ordering between self and other.

fn max(self, other: Self) -> Self

where Self: Sized,

Compares and returns the maximum of two values.

fn min(self, other: Self) -> Self

where Self: Sized,

Compares and returns the minimum of two values.

fn clamp(self, min: Self, max: Self) -> Self

where Self: Sized,

Restrict a value to a certain interval.

impl PartialEq for StochasticsDMethod

fn eq(&self, other: &StochasticsDMethod) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl PartialOrd for StochasticsDMethod

fn partial_cmp(&self, other: &StochasticsDMethod) -> Option<Ordering>

This method returns an ordering between self and other values if one exists.

fn lt(&self, other: &Rhs) -> bool

Tests less than (for self and other) and is used by the < operator.

fn le(&self, other: &Rhs) -> bool

Tests less than or equal to (for self and other) and is used by the <= operator.

fn gt(&self, other: &Rhs) -> bool

Tests greater than (for self and other) and is used by the > operator.

fn ge(&self, other: &Rhs) -> bool

Tests greater than or equal to (for self and other) and is used by the >= operator.

impl PyClass for StochasticsDMethod

type Frozen = True

Whether the pyclass is frozen.

impl PyClassImpl for StochasticsDMethod

const IS_BASETYPE: bool = false

#[pyclass(subclass)]

const IS_SUBCLASS: bool = false

#[pyclass(extends=…)]

const IS_MAPPING: bool = false

#[pyclass(mapping)]

const IS_SEQUENCE: bool = false

#[pyclass(sequence)]

const IS_IMMUTABLE_TYPE: bool = false

#[pyclass(immutable_type)]

const RAW_DOC: &'static CStr = /// Method for calculating %D in the Stochastics indicator. /// /// The %D line is the smoothed version of %K and can provide trading signals. /// Two calculation methods are supported: /// /// - **Ratio**: Original Nautilus method using `100 * SUM(close-LL) / SUM(HH-LL)` over `period_d`. /// This is range-weighted and has less lag than MA-based methods. /// - **MovingAverage**: Uses MA of slowed %K values, compatible with /// cTrader/MetaTrader/TradingView implementations.

Docstring for the class provided on the struct or enum.

const DOC: &'static CStr

Fully rendered class doc, including the text_signature if a constructor is defined.

type BaseType = PyAny

Base class

type ThreadChecker = SendablePyClass<StochasticsDMethod>

This handles following two situations:

type PyClassMutability = <<PyAny as PyClassBaseType>::PyClassMutability as PyClassMutability>::ImmutableChild

Immutable or mutable

type Dict = PyClassDummySlot

Specify this class has #[pyclass(dict)] or not.

type WeakRef = PyClassDummySlot

Specify this class has #[pyclass(weakref)] or not.

type BaseNativeType = PyAny

The closest native ancestor. This is PyAny by default, and when you declare #[pyclass(extends=PyDict)], it’s PyDict.

fn items_iter() -> PyClassItemsIter

fn lazy_type_object() -> &'static LazyTypeObject<Self>

fn dict_offset() -> Option<isize>

fn weaklist_offset() -> Option<isize>

impl PyTypeInfo for StochasticsDMethod

const NAME: &'static str = "StochasticsDMethod"

Class name.

const MODULE: Option<&'static str>

Module name, if any.

fn type_object_raw(py: Python<'_>) -> *mut PyTypeObject

Returns the PyTypeObject instance for this type.

fn type_object(py: Python<'_>) -> Bound<'_, PyType>

Returns the safe abstraction over the type object.

fn is_type_of(object: &Bound<'_, PyAny>) -> bool

Checks if object is an instance of this type or a subclass of this type.

fn is_exact_type_of(object: &Bound<'_, PyAny>) -> bool

Checks if object is an instance of this type.

impl TryFrom<&str> for StochasticsDMethod

type Error = ParseError

The type returned in the event of a conversion error.

fn try_from( s: &str, ) -> Result<StochasticsDMethod, <Self as TryFrom<&str>>::Error>

Performs the conversion.

impl Copy for StochasticsDMethod

impl Eq for StochasticsDMethod

impl ExtractPyClassWithClone for StochasticsDMethod

impl StructuralPartialEq for StochasticsDMethod