use crate::bar_indicators::average::{MovingAverageProvider, MovingAverageType};
use crate::bar_indicators::indicator_value::IndicatorValue;
#[derive(Clone)]
pub struct WeightedComposite {
w: [f64; 4],
ma1: MovingAverageProvider,
ma2: MovingAverageProvider,
ma3: MovingAverageProvider,
ma4: MovingAverageProvider,
norm: bool, value: f64,
}
impl WeightedComposite {
pub fn new(w1: f64, w2: f64, w3: f64, w4: f64, normalize: bool) -> Self {
Self::with_ma(
w1, w2, w3, w4, normalize,
MovingAverageType::SMA,
5, 10, 20, 50,
)
}
pub fn with_ma(
w1: f64,
w2: f64,
w3: f64,
w4: f64,
normalize: bool,
ma_type: MovingAverageType,
p1: usize,
p2: usize,
p3: usize,
p4: usize,
) -> Self {
Self {
w: [w1, w2, w3, w4],
ma1: MovingAverageProvider::new(ma_type, p1),
ma2: MovingAverageProvider::new(ma_type, p2),
ma3: MovingAverageProvider::new(ma_type, p3),
ma4: MovingAverageProvider::new(ma_type, p4),
norm: normalize,
value: 0.0,
}
}
#[inline]
pub fn reset(&mut self) {
self.ma1.reset();
self.ma2.reset();
self.ma3.reset();
self.ma4.reset();
self.value = 0.0;
}
#[inline]
pub fn is_ready(&self) -> bool {
self.ma4.is_ready() }
#[inline]
pub fn update_inputs(&mut self, _i1: f64, _i2: f64, _i3: f64, _i4: f64) {
}
pub fn update_bar(
&mut self,
_open: f64,
_high: f64,
_low: f64,
close: f64,
_volume: f64,
) -> f64 {
self.ma1.update_bar(0.0, 0.0, 0.0, close, 0.0);
self.ma2.update_bar(0.0, 0.0, 0.0, close, 0.0);
self.ma3.update_bar(0.0, 0.0, 0.0, close, 0.0);
self.ma4.update_bar(0.0, 0.0, 0.0, close, 0.0);
if self.is_ready() {
let inputs = [
self.ma1.value().main(),
self.ma2.value().main(),
self.ma3.value().main(),
self.ma4.value().main(),
];
let s: f64 = self.w.iter().zip(inputs.iter()).map(|(w, inp)| w * inp).sum();
if self.norm {
let denom = self.w.iter().map(|x| x.abs()).sum::<f64>().max(1e-9);
self.value = s / denom;
} else {
self.value = s;
}
}
self.value
}
#[inline]
pub fn value(&self) -> IndicatorValue {
IndicatorValue::Single(self.value)
}
pub fn weights(&self) -> [f64; 4] {
self.w
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_weighted_composite_creation() {
let wc = WeightedComposite::new(1.0, 0.5, 0.25, 0.125, false);
assert!(!wc.is_ready()); assert_eq!(wc.value().main(), 0.0);
assert_eq!(wc.weights(), [1.0, 0.5, 0.25, 0.125]);
}
#[test]
fn test_weighted_composite_with_data() {
let mut wc = WeightedComposite::new(1.0, 1.0, 1.0, 1.0, true);
for i in 0..60 {
let price = 100.0 + (i as f64 * 0.1).sin() * 5.0;
wc.update_bar(price, price + 1.0, price - 1.0, price, 1000.0);
}
assert!(wc.is_ready());
let value = wc.value().main();
assert!(value > 90.0 && value < 110.0, "Expected value near 100, got {}", value);
}
#[test]
fn test_weighted_composite_reset() {
let mut wc = WeightedComposite::new(1.0, 1.0, 1.0, 1.0, false);
for i in 0..60 {
wc.update_bar(100.0 + i as f64, 101.0, 99.0, 100.0 + i as f64, 1000.0);
}
wc.reset();
assert!(!wc.is_ready());
assert_eq!(wc.value().main(), 0.0);
}
#[test]
fn test_weighted_composite_with_ma_ema() {
let mut wc = WeightedComposite::with_ma(
1.0, 1.0, 1.0, 1.0, true,
MovingAverageType::EMA,
3, 7, 14, 28,
);
assert!(!wc.is_ready());
for i in 0..40 {
let price = 100.0 + i as f64 * 0.5;
wc.update_bar(price, price + 0.5, price - 0.5, price, 1000.0);
}
assert!(wc.is_ready());
let v = wc.value().main();
assert!(v.is_finite(), "EMA weighted composite must be finite, got {}", v);
}
}