Struct Stochastics 

pub struct Stochastics {
    pub period_k: usize,
    pub period_d: usize,
    pub slowing: usize,
    pub ma_type: MovingAverageType,
    pub d_method: StochasticsDMethod,
    pub value_k: f64,
    pub value_d: f64,
    pub initialized: bool,
    /* private fields */
}

Fields

period_k: usize

The lookback period for %K calculation (highest high / lowest low).

period_d: usize

The smoothing period for %D calculation.

slowing: usize

The slowing period for %K smoothing (1 = no slowing (Nautilus original).

ma_type: MovingAverageType

The moving average type used for slowing and MA-based %D.

d_method: StochasticsDMethod

The method for calculating %D (Ratio = Nautilus original method, MovingAverage = MA Smoothed).

value_k: f64

The current %K value (slowed if slowing > 1).

value_d: f64

The current %D value.

initialized: bool

Whether the indicator has received sufficient inputs to produce valid values.

Implementations

impl Stochastics

pub fn new(period_k: usize, period_d: usize) -> Self

Creates a new Stochastics instance with default parameters.

This is the backward-compatible constructor that produces identical output to the original Nautilus implementation, setting the following to:

• slowing = 1 (no slowing applied to %K)
• ma_type = Exponential (unused when slowing = 1 or with Ratio method)
• d_method = Ratio (Nautilus native %D calculation)

Panics

This function panics if:

• period_k or period_d is less than 1 or greater than MAX_PERIOD.

pub fn new_with_params( period_k: usize, period_d: usize, slowing: usize, ma_type: MovingAverageType, d_method: StochasticsDMethod, ) -> Self

Creates a new Stochastics instance with full parameter control.

Parameters

• period_k: The lookback period for %K (highest high / lowest low).
• period_d: The smoothing period for %D.
• slowing: MA smoothing period for raw %K (1 = no slowing, > 1 = smoothed).
• ma_type: MA type for slowing and MA-based %D (EMA, SMA, Wilder, etc.).
• d_method: %D calculation method (Ratio = Nautilus original, MovingAverage = MA smoothed).

Panics

This function panics if:

• period_k, period_d, or slowing is less than 1 or greater than MAX_PERIOD.

pub fn update_raw(&mut self, high: f64, low: f64, close: f64)

Updates the indicator with raw price values.

Parameters

• high: The high price for the period.
• low: The low price for the period.
• close: The close price for the period.

impl Stochastics

pub fn py_new( period_k: usize, period_d: usize, slowing: Option<usize>, ma_type: Option<MovingAverageType>, d_method: Option<StochasticsDMethod>, ) -> Self

Creates a new Stochastics indicator.

Parameters

period_k : int The lookback period for %K calculation (highest high / lowest low). period_d : int The smoothing period for %D calculation. slowing : int, optional The slowing period for %K smoothing. Default is 1 (no slowing). Use >1 for MA smoothed %K. ma_type : MovingAverageType, optional The MA type for slowing and MA-based %D. Default is Exponential. d_method : StochasticsDMethod, optional The %D calculation method. Default is Ratio (Nautilus original). Use MovingAverage for MA smoothed %D.

Trait Implementations

impl Debug for Stochastics

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

Formats the value using the given formatter.

impl Display for Stochastics

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

Formats the value using the given formatter.

impl Indicator for Stochastics

fn name(&self) -> String

fn has_inputs(&self) -> bool

fn initialized(&self) -> bool

fn handle_bar(&mut self, bar: &Bar)

fn reset(&mut self)

fn handle_delta(&mut self, delta: &OrderBookDelta)

fn handle_deltas(&mut self, deltas: &OrderBookDeltas)

fn handle_depth(&mut self, depth: &OrderBookDepth10)

fn handle_book(&mut self, book: &OrderBook)

fn handle_quote(&mut self, quote: &QuoteTick)

fn handle_trade(&mut self, trade: &TradeTick)

impl<'py> IntoPyObject<'py> for Stochastics

type Target = Stochastics

The Python output type

type Output = Bound<'py, <Stochastics 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 PyClass for Stochastics

type Frozen = False

Whether the pyclass is frozen.

impl PyClassImpl for Stochastics

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 = c"\x00"

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<Stochastics>

This handles following two situations:

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

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 PyClassNewTextSignature for Stochastics

const TEXT_SIGNATURE: &'static str = "(period_k, period_d, slowing=None, ma_type=None, d_method=None)"

impl PyMethods<Stochastics> for PyClassImplCollector<Stochastics>

fn py_methods(self) -> &'static PyClassItems

impl PyTypeInfo for Stochastics

const NAME: &'static str = "Stochastics"

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 DerefToPyAny for Stochastics

impl ExtractPyClassWithClone for Stochastics