Struct LinRegSlope 

pub struct LinRegSlope { /* private fields */ }

Linear Regression Slope — the slope of a rolling least-squares fit.

Over the last period inputs, indexed x = 0, 1, …, period − 1, it fits the line y = a + b·x by ordinary least squares and reports the slope:

b = (n·Σxy − Σx·Σy) / (n·Σxx − (Σx)²)

This is TA-Lib’s LINEARREG_SLOPE: a momentum-like reading of how steeply price is trending over the window — positive while it rises, negative while it falls, near zero when it is flat — without the band-pass quirks of a difference-based oscillator.

Each update is O(1): the same incremental OLS state as LinearRegression is maintained — Σx and Σxx are precomputed once from period, while Σy and Σxy are slid forward in closed form on every push.

Example

use wickra_core::{Indicator, LinRegSlope};

let mut indicator = LinRegSlope::new(14).unwrap();
let mut last = None;
for i in 0..80 {
    last = indicator.update(f64::from(i));
}
assert!(last.is_some());

Implementations

impl LinRegSlope

pub fn new(period: usize) -> Result<Self>

Construct a new rolling linear-regression slope over period inputs.

Errors

Returns Error::InvalidPeriod if period < 2 — a regression line is undefined for fewer than two points.

pub const fn period(&self) -> usize

Configured period.

Trait Implementations

impl Clone for LinRegSlope

fn clone(&self) -> Self

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for LinRegSlope

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

Formats the value using the given formatter.

impl Indicator for LinRegSlope

type Input = f64

Type of one input data point (typically f64 for a price, or Candle / Tick).

type Output = f64

Type of one output value.

fn update(&mut self, value: f64) -> Option<f64>

Feed one new data point into the indicator and return the freshly computed output, or None if there is no value for this input.

fn reset(&mut self)

Reset all internal state, leaving the indicator equivalent to a freshly constructed instance with the same parameters.

fn warmup_period(&self) -> usize

Number of inputs required before the first non-None output can be produced.

fn is_ready(&self) -> bool

Whether the indicator has emitted at least one value since the last reset.

fn name(&self) -> &'static str

Stable, human-readable indicator name. Used by chaining and diagnostics.

fn batch_nan_into(&mut self, inputs: &[Self::Input], out: &mut [f64])

where Self::Input: Copy, Self::Output: Into<f64>,

Run the indicator over inputs, writing one output per input into the caller-owned out buffer (NaN where update returns None). It exists for every indicator whose output converts to an f64; the batch pipelines use it for the scalar f64 -> f64 ones.

fn batch_fast_into(&mut self, inputs: &[Self::Input], out: &mut [f64])

where Self::Input: Copy, Self::Output: Into<f64>,

Opt-in fast batch: like batch_nan_into, but an indicator with a vectorised kernel may reassociate its arithmetic to run it in SIMD lanes. Each value then agrees with the exact batch to within the tolerance the indicator documents (a few units in the last place), not bit for bit; warmup positions, NaN placement and the output length are identical. The kernels are deterministic: the same input produces the same bits on every platform, with or without SIMD hardware.