use crate::error::FinError;
use crate::signals::{BarInput, Signal, SignalValue};
use rust_decimal::Decimal;
use std::collections::VecDeque;
pub struct HistoricalVolatility {
name: String,
period: usize,
annualization: f64,
closes: VecDeque<f64>,
}
impl HistoricalVolatility {
pub fn new(name: impl Into<String>, period: usize, annualization: u32) -> Result<Self, FinError> {
if period == 0 { return Err(FinError::InvalidPeriod(period)); }
Ok(Self {
name: name.into(),
period,
annualization: annualization as f64,
closes: VecDeque::with_capacity(period + 1),
})
}
}
impl Signal for HistoricalVolatility {
fn name(&self) -> &str { &self.name }
fn update(&mut self, bar: &BarInput) -> Result<SignalValue, FinError> {
use rust_decimal::prelude::ToPrimitive;
let c = bar.close.to_f64().unwrap_or(0.0);
self.closes.push_back(c);
if self.closes.len() > self.period + 1 {
self.closes.pop_front();
}
if self.closes.len() < self.period + 1 {
return Ok(SignalValue::Unavailable);
}
let mut log_rets = Vec::with_capacity(self.period);
for i in 1..self.closes.len() {
let prev = self.closes[i - 1];
let curr = self.closes[i];
if prev <= 0.0 { return Ok(SignalValue::Unavailable); }
log_rets.push((curr / prev).ln());
}
let n = log_rets.len() as f64;
let mean = log_rets.iter().sum::<f64>() / n;
let variance = log_rets.iter().map(|r| (r - mean).powi(2)).sum::<f64>() / (n - 1.0);
let hv = variance.sqrt() * self.annualization.sqrt() * 100.0;
Ok(SignalValue::Scalar(
Decimal::try_from(hv).unwrap_or(Decimal::ZERO),
))
}
fn is_ready(&self) -> bool { self.closes.len() >= self.period + 1 }
fn period(&self) -> usize { self.period }
fn reset(&mut self) { self.closes.clear(); }
}
#[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(c: &str) -> OhlcvBar {
let p = Price::new(c.parse().unwrap()).unwrap();
OhlcvBar {
symbol: Symbol::new("X").unwrap(),
open: p, high: p, low: p, close: p,
volume: Quantity::zero(),
ts_open: NanoTimestamp::new(0),
ts_close: NanoTimestamp::new(1),
tick_count: 1,
}
}
#[test]
fn test_hv_zero_period_fails() {
assert!(HistoricalVolatility::new("hv", 0, 252).is_err());
}
#[test]
fn test_hv_unavailable_before_warmup() {
let mut hv = HistoricalVolatility::new("hv3", 3, 252).unwrap();
assert_eq!(hv.update_bar(&bar("100")).unwrap(), SignalValue::Unavailable);
assert_eq!(hv.update_bar(&bar("101")).unwrap(), SignalValue::Unavailable);
assert_eq!(hv.update_bar(&bar("102")).unwrap(), SignalValue::Unavailable);
assert!(!hv.is_ready());
}
#[test]
fn test_hv_constant_prices_zero_vol() {
let mut hv = HistoricalVolatility::new("hv3", 3, 252).unwrap();
for _ in 0..5 {
hv.update_bar(&bar("100")).unwrap();
}
let v = hv.update_bar(&bar("100")).unwrap();
if let SignalValue::Scalar(val) = v {
assert_eq!(val, dec!(0), "constant prices → zero volatility");
} else {
panic!("expected Scalar");
}
}
#[test]
fn test_hv_positive_for_volatile_prices() {
let mut hv = HistoricalVolatility::new("hv3", 3, 252).unwrap();
let prices = ["100", "102", "99", "103", "97"];
let mut last = SignalValue::Unavailable;
for p in &prices {
last = hv.update_bar(&bar(p)).unwrap();
}
if let SignalValue::Scalar(val) = last {
assert!(val > dec!(0), "volatile prices → positive HV: {val}");
} else {
panic!("expected Scalar");
}
}
#[test]
fn test_hv_reset() {
let mut hv = HistoricalVolatility::new("hv3", 3, 252).unwrap();
for p in &["100", "102", "99", "103"] {
hv.update_bar(&bar(p)).unwrap();
}
assert!(hv.is_ready());
hv.reset();
assert!(!hv.is_ready());
}
}