Closes the remaining TA-Lib function-name gap by shipping each missing or bundled-only function as a real, standalone, fully-covered indicator. 19 new indicators across 5 families; mod-count 295 -> 314. ### Trend & Directional — Directional Movement components - `PlusDm` (`PLUS_DM`), `MinusDm` (`MINUS_DM`) — Wilder-smoothed ±DM. - `PlusDi` (`PLUS_DI`), `MinusDi` (`MINUS_DI`) — `100·smoothed(±DM)/ATR`. - `Dx` (`DX`) — `100·|+DI−−DI|/(+DI+−DI)`. ### Price Statistics - `AvgPrice` (`AVGPRICE`) — `(O+H+L+C)/4`. - `MidPoint` (`MIDPOINT`) — `(max+min)/2` of a scalar series over N. - `MidPrice` (`MIDPRICE`) — `(highestHigh+lowestLow)/2` over N. - `LinRegIntercept` (`LINEARREG_INTERCEPT`) — OLS intercept. - `Tsf` (`TSF`) — time series forecast `a + b·period`. ### Momentum Oscillators - `Rocp` (`ROCP`), `Rocr` (`ROCR`), `Rocr100` (`ROCR100`) — ROC ratio forms. ### Trailing Stops - `SarExt` (`SAREXT`) — Parabolic SAR with start value, reversal offset, separate long/short acceleration, signed output. ### Trend & Directional — MACD variants - `MacdFix` (`MACDFIX`) — MACD fixed 12/26. - `MacdExt` (`MACDEXT`) — MACD with a selectable moving-average type per line (new public `MaType` enum: SMA/EMA/WMA/DEMA/TEMA/TRIMA). ### Ehlers / Cycle (DSP) — Hilbert transform outputs - `HtPhasor` (`HT_PHASOR`) — in-phase / quadrature components. - `HtDcPhase` (`HT_DCPHASE`) — dominant-cycle phase (degrees). - `HtTrendMode` (`HT_TRENDMODE`) — trend (1) vs cycle (0) classification. Each indicator ships the full chain: core + every-branch unit tests, Python / Node / WASM bindings, fuzz coverage, README counter + family rows, CHANGELOG. `cargo test`, doctests, `clippy -D warnings`, `npm test` and pytest all green locally; mod-count == lib-block == README counter (314), FAMILIES total 309.
158 lines
4.0 KiB
Rust
158 lines
4.0 KiB
Rust
//! Rate of Change Ratio (ROCR).
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use std::collections::VecDeque;
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use crate::error::{Error, Result};
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use crate::traits::Indicator;
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/// Rate of Change Ratio (`ROCR`): `close / close[period]`.
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///
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/// The momentum ratio relative to the price `period` bars ago: `1.0` means no
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/// change, `> 1` an advance, `< 1` a decline. It is [`Rocp`](crate::Rocp) plus
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/// one. Where the reference price is zero the result is reported as `0`.
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///
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/// Non-finite inputs are ignored and leave the window untouched; the last
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/// computed value is returned instead, matching the SMA / EMA convention.
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///
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/// # Example
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///
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/// ```
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/// use wickra_core::{Indicator, Rocr};
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///
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/// let mut indicator = Rocr::new(3).unwrap();
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/// let mut last = None;
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/// for i in 0..80 {
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/// last = indicator.update(100.0 + f64::from(i));
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/// }
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/// assert!(last.is_some());
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/// ```
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#[derive(Debug, Clone)]
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pub struct Rocr {
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period: usize,
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window: VecDeque<f64>,
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last: Option<f64>,
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}
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impl Rocr {
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/// # Errors
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/// Returns [`Error::PeriodZero`] if `period == 0`.
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pub fn new(period: usize) -> Result<Self> {
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if period == 0 {
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return Err(Error::PeriodZero);
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}
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Ok(Self {
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period,
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window: VecDeque::with_capacity(period + 1),
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last: None,
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})
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}
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/// Configured period.
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pub const fn period(&self) -> usize {
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self.period
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}
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}
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impl Indicator for Rocr {
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type Input = f64;
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type Output = f64;
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fn update(&mut self, input: f64) -> Option<f64> {
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if !input.is_finite() {
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return self.last;
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}
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if self.window.len() == self.period + 1 {
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self.window.pop_front();
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}
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self.window.push_back(input);
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if self.window.len() < self.period + 1 {
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return None;
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}
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let prev = *self.window.front().expect("non-empty");
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let rocr = if prev == 0.0 { 0.0 } else { input / prev };
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self.last = Some(rocr);
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Some(rocr)
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}
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fn reset(&mut self) {
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self.window.clear();
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self.last = None;
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}
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fn warmup_period(&self) -> usize {
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self.period + 1
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}
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fn is_ready(&self) -> bool {
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self.window.len() == self.period + 1
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}
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fn name(&self) -> &'static str {
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"ROCR"
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}
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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use crate::traits::BatchExt;
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use approx::assert_relative_eq;
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#[test]
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fn rejects_zero_period() {
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assert!(matches!(Rocr::new(0), Err(Error::PeriodZero)));
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}
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#[test]
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fn accessors_report_config() {
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let r = Rocr::new(3).unwrap();
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assert_eq!(r.period(), 3);
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assert_eq!(r.name(), "ROCR");
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assert_eq!(r.warmup_period(), 4);
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assert!(!r.is_ready());
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}
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#[test]
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fn known_value_is_a_ratio() {
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// period 1 over [10, 11]: 11 / 10 = 1.1.
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let mut r = Rocr::new(1).unwrap();
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let out: Vec<Option<f64>> = r.batch(&[10.0, 11.0]);
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assert_eq!(out[0], None);
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assert_relative_eq!(out[1].unwrap(), 1.1, epsilon = 1e-12);
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assert!(r.is_ready());
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}
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#[test]
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fn constant_series_yields_one() {
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let mut r = Rocr::new(3).unwrap();
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for v in r.batch(&[10.0_f64; 12]).iter().skip(4).flatten() {
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assert_relative_eq!(*v, 1.0, epsilon = 1e-12);
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}
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}
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#[test]
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fn zero_reference_price_reports_zero() {
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let mut r = Rocr::new(1).unwrap();
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let out: Vec<Option<f64>> = r.batch(&[0.0, 5.0]);
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assert_relative_eq!(out[1].unwrap(), 0.0, epsilon = 1e-12);
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}
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#[test]
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fn non_finite_input_holds_last() {
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let mut r = Rocr::new(1).unwrap();
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assert_eq!(r.update(10.0), None);
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let v = r.update(11.0).unwrap();
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assert_eq!(r.update(f64::INFINITY), Some(v));
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}
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#[test]
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fn reset_clears_state() {
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let mut r = Rocr::new(1).unwrap();
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let _ = r.batch(&[10.0, 11.0]);
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assert!(r.is_ready());
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r.reset();
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assert!(!r.is_ready());
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assert_eq!(r.update(10.0), None);
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}
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}
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