F1: add SMMA and TRIMA moving averages (core)

First step of the indicator-family expansion (see the F section of
todo-detailed.md). Family F1 — Simple & Weighted MAs — gains two
members alongside the existing Sma/Ema/Wma:

- Smma — Wilder's smoothed moving average (RMA): SMA-seeded, then the
  (prev*(n-1)+x)/n recurrence. The average underlying RSI and ATR.
- Trima — triangular moving average: two stacked SMAs (n1/n2 split by
  parity) that triangular-weight the window. Genuine stacking — the
  outer SMA consumes the inner SMA's output.

Both implement the full Indicator trait with reference-value, warmup,
reset, batch==streaming and non-finite-input tests, a runnable doctest,
and are re-exported from the crate root. 208 core tests + 30 doctests
pass; clippy and fmt clean.

crates/wickra-core/src/indicators/mod.rs

@@ -23,8 +23,10 @@ mod psar;
 mod roc;
 mod rsi;
 mod sma;
+mod smma;
 mod stochastic;
 mod tema;
+mod trima;
 mod trix;
 mod vwap;
 mod williams_r;
@@ -49,8 +51,10 @@ pub use psar::Psar;
 pub use roc::Roc;
 pub use rsi::Rsi;
 pub use sma::Sma;
+pub use smma::Smma;
 pub use stochastic::{Stochastic, StochasticOutput};
 pub use tema::Tema;
+pub use trima::Trima;
 pub use trix::Trix;
 pub use vwap::{RollingVwap, Vwap};
 pub use williams_r::WilliamsR;

crates/wickra-core/src/indicators/smma.rs

@@ -0,0 +1,180 @@
+//! Smoothed Moving Average (Wilder's RMA).
+
+use std::collections::VecDeque;
+
+use crate::error::{Error, Result};
+use crate::traits::Indicator;
+
+/// Smoothed Moving Average — Wilder's running moving average, also known as
+/// RMA.
+///
+/// Seeded with the simple average of the first `period` inputs, then advanced
+/// by `SMMA_t = (SMMA_{t-1} * (period - 1) + price_t) / period`. This is an
+/// exponential average with a slow `1 / period` smoothing factor and is the
+/// average underlying Wilder's RSI and ATR. The first output lands after
+/// exactly `period` inputs.
+///
+/// # Example
+///
+/// ```
+/// use wickra_core::{Indicator, Smma};
+///
+/// let mut indicator = Smma::new(3).unwrap();
+/// let mut last = None;
+/// for i in 0..80 {
+///     last = indicator.update(100.0 + f64::from(i));
+/// }
+/// assert!(last.is_some());
+/// ```
+#[derive(Debug, Clone)]
+pub struct Smma {
+    period: usize,
+    /// Inputs collected while seeding (before the first value is produced).
+    seed: VecDeque<f64>,
+    seed_sum: f64,
+    current: Option<f64>,
+}
+
+impl Smma {
+    /// Construct a new SMMA with the given period.
+    ///
+    /// # Errors
+    ///
+    /// Returns [`Error::PeriodZero`] if `period == 0`.
+    pub fn new(period: usize) -> Result<Self> {
+        if period == 0 {
+            return Err(Error::PeriodZero);
+        }
+        Ok(Self {
+            period,
+            seed: VecDeque::with_capacity(period),
+            seed_sum: 0.0,
+            current: None,
+        })
+    }
+
+    /// Configured period.
+    pub const fn period(&self) -> usize {
+        self.period
+    }
+
+    /// Current value if available.
+    pub const fn value(&self) -> Option<f64> {
+        self.current
+    }
+}
+
+impl Indicator for Smma {
+    type Input = f64;
+    type Output = f64;
+
+    fn update(&mut self, input: f64) -> Option<f64> {
+        if !input.is_finite() {
+            // Non-finite input is ignored, leaving state untouched.
+            return self.current;
+        }
+        if let Some(prev) = self.current {
+            let period = self.period as f64;
+            self.current = Some((prev * (period - 1.0) + input) / period);
+        } else {
+            self.seed.push_back(input);
+            self.seed_sum += input;
+            if self.seed.len() == self.period {
+                self.current = Some(self.seed_sum / self.period as f64);
+            }
+        }
+        self.current
+    }
+
+    fn reset(&mut self) {
+        self.seed.clear();
+        self.seed_sum = 0.0;
+        self.current = None;
+    }
+
+    fn warmup_period(&self) -> usize {
+        self.period
+    }
+
+    fn is_ready(&self) -> bool {
+        self.current.is_some()
+    }
+
+    fn name(&self) -> &'static str {
+        "SMMA"
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use crate::traits::BatchExt;
+    use approx::assert_relative_eq;
+
+    #[test]
+    fn new_rejects_zero_period() {
+        assert!(matches!(Smma::new(0), Err(Error::PeriodZero)));
+    }
+
+    #[test]
+    fn warmup_then_recurrence() {
+        // SMMA(3): seed = SMA(1,2,3) = 2.0; then (prev*2 + x) / 3.
+        let mut smma = Smma::new(3).unwrap();
+        assert_eq!(smma.update(1.0), None);
+        assert_eq!(smma.update(2.0), None);
+        assert_eq!(smma.update(3.0), Some(2.0));
+        assert_relative_eq!(
+            smma.update(4.0).unwrap(),
+            (2.0 * 2.0 + 4.0) / 3.0,
+            epsilon = 1e-12
+        );
+        assert_relative_eq!(
+            smma.update(5.0).unwrap(),
+            ((2.0 * 2.0 + 4.0) / 3.0 * 2.0 + 5.0) / 3.0,
+            epsilon = 1e-12
+        );
+    }
+
+    #[test]
+    fn period_one_is_pass_through() {
+        let mut smma = Smma::new(1).unwrap();
+        assert_eq!(smma.update(5.0), Some(5.0));
+        assert_eq!(smma.update(10.0), Some(10.0));
+    }
+
+    #[test]
+    fn constant_series_yields_the_constant() {
+        let mut smma = Smma::new(5).unwrap();
+        let out = smma.batch(&[7.0; 20]);
+        for x in out.iter().skip(4) {
+            assert_relative_eq!(x.unwrap(), 7.0, epsilon = 1e-12);
+        }
+    }
+
+    #[test]
+    fn ignores_non_finite_input() {
+        let mut smma = Smma::new(3).unwrap();
+        smma.batch(&[1.0, 2.0, 3.0]);
+        assert_eq!(smma.update(f64::NAN), Some(2.0));
+        assert_eq!(smma.update(f64::INFINITY), Some(2.0));
+    }
+
+    #[test]
+    fn reset_clears_state() {
+        let mut smma = Smma::new(3).unwrap();
+        smma.batch(&[1.0, 2.0, 3.0, 4.0]);
+        assert!(smma.is_ready());
+        smma.reset();
+        assert!(!smma.is_ready());
+        assert_eq!(smma.update(10.0), None);
+    }
+
+    #[test]
+    fn batch_equals_streaming() {
+        let prices: Vec<f64> = (1..=30).map(f64::from).collect();
+        let batch = Smma::new(7).unwrap().batch(&prices);
+        let mut b = Smma::new(7).unwrap();
+        let streamed: Vec<_> = prices.iter().map(|p| b.update(*p)).collect();
+        assert_eq!(batch, streamed);
+    }
+}

crates/wickra-core/src/indicators/trima.rs

@@ -0,0 +1,176 @@
+//! Triangular Moving Average.
+
+use crate::error::{Error, Result};
+use crate::traits::Indicator;
+
+use super::Sma;
+
+/// Triangular Moving Average — a simple moving average applied twice, which
+/// triangular-weights the window so the middle bars carry the most weight and
+/// the edges the least.
+///
+/// For period `n` the two stacked SMAs use lengths `n1` and `n2`:
+/// an odd `n` uses `n1 = n2 = (n + 1) / 2`; an even `n` uses `n1 = n / 2` and
+/// `n2 = n / 2 + 1`. Either way the first output lands after exactly `n`
+/// inputs.
+///
+/// # Example
+///
+/// ```
+/// use wickra_core::{Indicator, Trima};
+///
+/// let mut indicator = Trima::new(5).unwrap();
+/// let mut last = None;
+/// for i in 0..80 {
+///     last = indicator.update(100.0 + f64::from(i));
+/// }
+/// assert!(last.is_some());
+/// ```
+#[derive(Debug, Clone)]
+pub struct Trima {
+    period: usize,
+    inner: Sma,
+    outer: Sma,
+}
+
+impl Trima {
+    /// Construct a new TRIMA with the given period.
+    ///
+    /// # Errors
+    ///
+    /// Returns [`Error::PeriodZero`] if `period == 0`.
+    pub fn new(period: usize) -> Result<Self> {
+        if period == 0 {
+            return Err(Error::PeriodZero);
+        }
+        let (n1, n2) = if period % 2 == 1 {
+            (period.div_ceil(2), period.div_ceil(2))
+        } else {
+            (period / 2, period / 2 + 1)
+        };
+        Ok(Self {
+            period,
+            inner: Sma::new(n1)?,
+            outer: Sma::new(n2)?,
+        })
+    }
+
+    /// Configured period.
+    pub const fn period(&self) -> usize {
+        self.period
+    }
+
+    /// Current value if available.
+    pub fn value(&self) -> Option<f64> {
+        self.outer.value()
+    }
+}
+
+impl Indicator for Trima {
+    type Input = f64;
+    type Output = f64;
+
+    fn update(&mut self, input: f64) -> Option<f64> {
+        if !input.is_finite() {
+            // Non-finite input is ignored; do not double-feed the inner SMA's
+            // stale value into the outer SMA.
+            return self.outer.value();
+        }
+        // Genuine stacking: the outer SMA consumes the inner SMA's output.
+        match self.inner.update(input) {
+            Some(v) => self.outer.update(v),
+            None => None,
+        }
+    }
+
+    fn reset(&mut self) {
+        self.inner.reset();
+        self.outer.reset();
+    }
+
+    fn warmup_period(&self) -> usize {
+        self.period
+    }
+
+    fn is_ready(&self) -> bool {
+        self.outer.is_ready()
+    }
+
+    fn name(&self) -> &'static str {
+        "TRIMA"
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use crate::traits::BatchExt;
+    use approx::assert_relative_eq;
+
+    #[test]
+    fn new_rejects_zero_period() {
+        assert!(matches!(Trima::new(0), Err(Error::PeriodZero)));
+    }
+
+    #[test]
+    fn odd_period_reference_values() {
+        // TRIMA(5) is SMA(3) of SMA(3).
+        // SMA(3) of 1..=7 -> [_,_,2,3,4,5,6]; SMA(3) of that -> [_,_,_,_,3,4,5].
+        let mut trima = Trima::new(5).unwrap();
+        let out = trima.batch(&[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0]);
+        assert_eq!(out[0], None);
+        assert_eq!(out[3], None);
+        assert_relative_eq!(out[4].unwrap(), 3.0, epsilon = 1e-12);
+        assert_relative_eq!(out[5].unwrap(), 4.0, epsilon = 1e-12);
+        assert_relative_eq!(out[6].unwrap(), 5.0, epsilon = 1e-12);
+    }
+
+    #[test]
+    fn first_emission_at_warmup_period() {
+        // Even period: TRIMA(6) -> SMA(3) of SMA(4); first value at input 6.
+        let mut trima = Trima::new(6).unwrap();
+        let out = trima.batch(&(1..=10).map(f64::from).collect::<Vec<_>>());
+        assert_eq!(trima.warmup_period(), 6);
+        for v in out.iter().take(5) {
+            assert!(v.is_none());
+        }
+        assert!(out[5].is_some());
+    }
+
+    #[test]
+    fn constant_series_yields_the_constant() {
+        let mut trima = Trima::new(7).unwrap();
+        let out = trima.batch(&[42.0; 20]);
+        for x in out.iter().skip(6) {
+            assert_relative_eq!(x.unwrap(), 42.0, epsilon = 1e-12);
+        }
+    }
+
+    #[test]
+    fn ignores_non_finite_input() {
+        let mut trima = Trima::new(5).unwrap();
+        let ready = trima.batch(&[1.0, 2.0, 3.0, 4.0, 5.0]);
+        let last = ready[4];
+        assert!(last.is_some());
+        assert_eq!(trima.update(f64::NAN), last);
+    }
+
+    #[test]
+    fn reset_clears_state() {
+        let mut trima = Trima::new(5).unwrap();
+        trima.batch(&(1..=10).map(f64::from).collect::<Vec<_>>());
+        assert!(trima.is_ready());
+        trima.reset();
+        assert!(!trima.is_ready());
+        assert_eq!(trima.update(1.0), None);
+    }
+
+    #[test]
+    fn batch_equals_streaming() {
+        let prices: Vec<f64> = (1..=40).map(f64::from).collect();
+        let batch = Trima::new(8).unwrap().batch(&prices);
+        let mut b = Trima::new(8).unwrap();
+        let streamed: Vec<_> = prices.iter().map(|p| b.update(*p)).collect();
+        assert_eq!(batch, streamed);
+    }
+}

crates/wickra-core/src/lib.rs

@@ -46,8 +46,8 @@ pub use error::{Error, Result};
 pub use indicators::{
     Adx, AdxOutput, Aroon, AroonOutput, Atr, AwesomeOscillator, BollingerBands, BollingerOutput,
     Cci, Dema, Donchian, DonchianOutput, Ema, Hma, Kama, Keltner, KeltnerOutput, MacdIndicator,
-    MacdOutput, Mfi, Obv, Psar, Roc, RollingVwap, Rsi, Sma, Stochastic, StochasticOutput, Tema,
+    MacdOutput, Mfi, Obv, Psar, Roc, RollingVwap, Rsi, Sma, Smma, Stochastic, StochasticOutput,
-    Trix, Vwap, WilliamsR, Wma,
+    Tema, Trima, Trix, Vwap, WilliamsR, Wma,
 };
 pub use ohlcv::{Candle, Tick};
 pub use traits::{BatchExt, Chain, Indicator};