use crate::error::FinError;
use crate::signals::{BarInput, Signal, SignalValue};
use rust_decimal::prelude::ToPrimitive;
use rust_decimal::Decimal;
use std::collections::VecDeque;
pub struct RollingVolumeCV {
name: String,
period: usize,
window: VecDeque<Decimal>,
sum: Decimal,
}
impl RollingVolumeCV {
pub fn new(name: impl Into<String>, period: usize) -> Result<Self, FinError> {
if period < 2 {
return Err(FinError::InvalidPeriod(period));
}
Ok(Self {
name: name.into(),
period,
window: VecDeque::with_capacity(period),
sum: Decimal::ZERO,
})
}
}
impl Signal for RollingVolumeCV {
fn name(&self) -> &str { &self.name }
fn period(&self) -> usize { self.period }
fn is_ready(&self) -> bool { self.window.len() >= self.period }
fn update(&mut self, bar: &BarInput) -> Result<SignalValue, FinError> {
self.sum += bar.volume;
self.window.push_back(bar.volume);
if self.window.len() > self.period {
let removed = self.window.pop_front().unwrap();
self.sum -= removed;
}
if self.window.len() < self.period {
return Ok(SignalValue::Unavailable);
}
let n = self.period as f64;
let mean_d = self.sum
.checked_div(Decimal::from(self.period as u32))
.ok_or(FinError::ArithmeticOverflow)?;
if mean_d.is_zero() {
return Ok(SignalValue::Unavailable);
}
let mean_f = mean_d.to_f64().unwrap_or(0.0);
let variance: f64 = self
.window
.iter()
.filter_map(|v| v.to_f64())
.map(|v| {
let d = v - mean_f;
d * d
})
.sum::<f64>()
/ n;
let std_dev = variance.sqrt();
let cv = std_dev / mean_f;
Decimal::try_from(cv)
.map(|d| SignalValue::Scalar(d.max(Decimal::ZERO)))
.or(Ok(SignalValue::Unavailable))
}
fn reset(&mut self) {
self.window.clear();
self.sum = Decimal::ZERO;
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::ohlcv::OhlcvBar;
use crate::signals::Signal;
use crate::types::{NanoTimestamp, Price, Quantity, Symbol};
use rust_decimal_macros::dec;
fn bar(vol: &str) -> OhlcvBar {
let p = Price::new("100".parse().unwrap()).unwrap();
OhlcvBar {
symbol: Symbol::new("X").unwrap(),
open: p, high: p, low: p, close: p,
volume: Quantity::new(vol.parse().unwrap()).unwrap(),
ts_open: NanoTimestamp::new(0),
ts_close: NanoTimestamp::new(1),
tick_count: 1,
}
}
#[test]
fn test_rcv_invalid_period() {
assert!(RollingVolumeCV::new("cv", 0).is_err());
assert!(RollingVolumeCV::new("cv", 1).is_err());
}
#[test]
fn test_rcv_unavailable_before_period() {
let mut s = RollingVolumeCV::new("cv", 3).unwrap();
assert_eq!(s.update_bar(&bar("1000")).unwrap(), SignalValue::Unavailable);
assert_eq!(s.update_bar(&bar("2000")).unwrap(), SignalValue::Unavailable);
}
#[test]
fn test_rcv_constant_volume_gives_zero() {
let mut s = RollingVolumeCV::new("cv", 3).unwrap();
s.update_bar(&bar("1000")).unwrap();
s.update_bar(&bar("1000")).unwrap();
let v = s.update_bar(&bar("1000")).unwrap();
if let SignalValue::Scalar(cv) = v {
assert!(cv.abs() < dec!(0.0001), "constant volume should give CV ~0: {cv}");
} else {
panic!("expected Scalar");
}
}
#[test]
fn test_rcv_non_negative() {
let mut s = RollingVolumeCV::new("cv", 4).unwrap();
for vol in &["1000", "3000", "500", "2000", "4000"] {
if let SignalValue::Scalar(v) = s.update_bar(&bar(vol)).unwrap() {
assert!(v >= dec!(0), "CV must be non-negative: {v}");
}
}
}
#[test]
fn test_rcv_zero_volume_unavailable() {
let mut s = RollingVolumeCV::new("cv", 2).unwrap();
s.update_bar(&bar("0")).unwrap();
let v = s.update_bar(&bar("0")).unwrap();
assert_eq!(v, SignalValue::Unavailable);
}
#[test]
fn test_rcv_reset() {
let mut s = RollingVolumeCV::new("cv", 3).unwrap();
for _ in 0..3 { s.update_bar(&bar("1000")).unwrap(); }
assert!(s.is_ready());
s.reset();
assert!(!s.is_ready());
}
}