Struct TdDWave 

pub struct TdDWave { /* private fields */ }

Tom DeMark TD D-Wave — a streaming wave counter that labels the market’s swing sequence with an Elliott-style 1–5 impulse / A–C correction count.

TD D-Wave is DeMark’s objective alternative to discretionary Elliott Wave counting. This streaming implementation detects alternating swing pivots with a symmetric fractal of half-width strength, and advances a counter through the eight-leg cycle each time a new swing leg is confirmed:

legs:  1 → 2 → 3 → 4 → 5 → A(6) → B(7) → C(8) → 1 …
output = current wave number, 1.0..8.0   (6/7/8 = corrective A/B/C)

The number tells you which wave of the cycle price is currently working on — a running map of impulse versus correction that updates as each swing confirms. This is a simplified swing-leg count (it does not enforce Elliott’s price ratio and overlap rules); treat it as a structural guide, not a strict wave label.

Readiness is data-dependent: the first value appears once the first swing pivot confirms (strength bars after it forms). warmup_period returns the minimum bars to confirm one pivot. Each update is O(strength).

Example

use wickra_core::{Candle, Indicator, TdDWave};

let mut indicator = TdDWave::new(2).unwrap();
let mut last = None;
for i in 0..120 {
    let base = 100.0 + (f64::from(i) * 0.5).sin() * 10.0;
    let c = Candle::new(base, base + 1.0, base - 1.0, base, 1_000.0, 0).unwrap();
    last = indicator.update(c);
}
let _ = last;

Implementations

impl TdDWave

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

Construct a TD D-Wave with the given fractal strength.

Errors

Returns Error::PeriodZero if strength == 0.

pub const fn strength(&self) -> usize

Configured fractal strength.

pub const fn value(&self) -> Option<f64>

Current wave number if available.

Trait Implementations

impl Clone for TdDWave

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 TdDWave

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

Formats the value using the given formatter.

impl Indicator for TdDWave

type Input = Candle

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, candle: Candle) -> 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.