nautilus_indicators/volatility/
atr.rsuse std::fmt::{Debug, Display};
use nautilus_model::data::bar::Bar;
use crate::{
average::{MovingAverageFactory, MovingAverageType},
indicator::{Indicator, MovingAverage},
};
#[repr(C)]
#[derive(Debug)]
#[cfg_attr(
feature = "python",
pyo3::pyclass(module = "nautilus_trader.core.nautilus_pyo3.indicators")
)]
pub struct AverageTrueRange {
pub period: usize,
pub ma_type: MovingAverageType,
pub use_previous: bool,
pub value_floor: f64,
pub value: f64,
pub count: usize,
pub initialized: bool,
ma: Box<dyn MovingAverage + Send + 'static>,
has_inputs: bool,
previous_close: f64,
}
impl Display for AverageTrueRange {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
write!(
f,
"{}({},{},{},{})",
self.name(),
self.period,
self.ma_type,
self.use_previous,
self.value_floor,
)
}
}
impl Indicator for AverageTrueRange {
fn name(&self) -> String {
stringify!(AverageTrueRange).to_string()
}
fn has_inputs(&self) -> bool {
self.has_inputs
}
fn initialized(&self) -> bool {
self.initialized
}
fn handle_bar(&mut self, bar: &Bar) {
self.update_raw((&bar.high).into(), (&bar.low).into(), (&bar.close).into());
}
fn reset(&mut self) {
self.previous_close = 0.0;
self.value = 0.0;
self.count = 0;
self.has_inputs = false;
self.initialized = false;
}
}
impl AverageTrueRange {
#[must_use]
pub fn new(
period: usize,
ma_type: Option<MovingAverageType>,
use_previous: Option<bool>,
value_floor: Option<f64>,
) -> Self {
Self {
period,
ma_type: ma_type.unwrap_or(MovingAverageType::Simple),
use_previous: use_previous.unwrap_or(true),
value_floor: value_floor.unwrap_or(0.0),
value: 0.0,
count: 0,
previous_close: 0.0,
ma: MovingAverageFactory::create(MovingAverageType::Simple, period),
has_inputs: false,
initialized: false,
}
}
pub fn update_raw(&mut self, high: f64, low: f64, close: f64) {
if self.use_previous {
if !self.has_inputs {
self.previous_close = close;
}
self.ma.update_raw(
f64::max(self.previous_close, high) - f64::min(low, self.previous_close),
);
self.previous_close = close;
} else {
self.ma.update_raw(high - low);
}
self._floor_value();
self.increment_count();
}
fn _floor_value(&mut self) {
if self.value_floor == 0.0 || self.value_floor < self.ma.value() {
self.value = self.ma.value();
} else {
self.value = self.value_floor;
}
}
fn increment_count(&mut self) {
self.count += 1;
if !self.initialized {
self.has_inputs = true;
if self.count >= self.period {
self.initialized = true;
}
}
}
}
#[cfg(test)]
mod tests {
use rstest::rstest;
use super::*;
use crate::testing::approx_equal;
#[rstest]
fn test_name_returns_expected_string() {
let atr = AverageTrueRange::new(10, Some(MovingAverageType::Simple), None, None);
assert_eq!(atr.name(), "AverageTrueRange");
}
#[rstest]
fn test_str_repr_returns_expected_string() {
let atr = AverageTrueRange::new(10, Some(MovingAverageType::Simple), Some(true), Some(0.0));
assert_eq!(format!("{atr}"), "AverageTrueRange(10,SIMPLE,true,0)");
}
#[rstest]
fn test_period() {
let atr = AverageTrueRange::new(10, Some(MovingAverageType::Simple), None, None);
assert_eq!(atr.period, 10);
}
#[rstest]
fn test_initialized_without_inputs_returns_false() {
let atr = AverageTrueRange::new(10, Some(MovingAverageType::Simple), None, None);
assert!(!atr.initialized());
}
#[rstest]
fn test_initialized_with_required_inputs_returns_true() {
let mut atr = AverageTrueRange::new(10, Some(MovingAverageType::Simple), None, None);
for _ in 0..10 {
atr.update_raw(1.0, 1.0, 1.0);
}
assert!(atr.initialized());
}
#[rstest]
fn test_value_with_no_inputs_returns_zero() {
let atr = AverageTrueRange::new(10, Some(MovingAverageType::Simple), None, None);
assert_eq!(atr.value, 0.0);
}
#[rstest]
fn test_value_with_epsilon_input() {
let mut atr = AverageTrueRange::new(10, Some(MovingAverageType::Simple), None, None);
let epsilon = std::f64::EPSILON;
atr.update_raw(epsilon, epsilon, epsilon);
assert_eq!(atr.value, 0.0);
}
#[rstest]
fn test_value_with_one_ones_input() {
let mut atr = AverageTrueRange::new(10, Some(MovingAverageType::Simple), None, None);
atr.update_raw(1.0, 1.0, 1.0);
assert_eq!(atr.value, 0.0);
}
#[rstest]
fn test_value_with_one_input() {
let mut atr = AverageTrueRange::new(10, Some(MovingAverageType::Simple), None, None);
atr.update_raw(1.00020, 1.0, 1.00010);
assert!(approx_equal(atr.value, 0.0002));
}
#[rstest]
fn test_value_with_three_inputs() {
let mut atr = AverageTrueRange::new(10, Some(MovingAverageType::Simple), None, None);
atr.update_raw(1.00020, 1.0, 1.00010);
atr.update_raw(1.00020, 1.0, 1.00010);
atr.update_raw(1.00020, 1.0, 1.00010);
assert!(approx_equal(atr.value, 0.0002));
}
#[rstest]
fn test_value_with_close_on_high() {
let mut atr = AverageTrueRange::new(10, Some(MovingAverageType::Simple), None, None);
let mut high = 1.00010;
let mut low = 1.0;
for _ in 0..1000 {
high += 0.00010;
low += 0.00010;
let close = high;
atr.update_raw(high, low, close);
}
assert!(approx_equal(atr.value, 0.000_099_999_999_999_988_99));
}
#[rstest]
fn test_value_with_close_on_low() {
let mut atr = AverageTrueRange::new(10, Some(MovingAverageType::Simple), None, None);
let mut high = 1.00010;
let mut low = 1.0;
for _ in 0..1000 {
high -= 0.00010;
low -= 0.00010;
let close = low;
atr.update_raw(high, low, close);
}
assert!(approx_equal(atr.value, 0.000_099_999_999_999_988_99));
}
#[rstest]
fn test_floor_with_ten_ones_inputs() {
let floor = 0.00005;
let mut floored_atr =
AverageTrueRange::new(10, Some(MovingAverageType::Simple), None, Some(floor));
for _ in 0..20 {
floored_atr.update_raw(1.0, 1.0, 1.0);
}
assert_eq!(floored_atr.value, 5e-05);
}
#[rstest]
fn test_floor_with_exponentially_decreasing_high_inputs() {
let floor = 0.00005;
let mut floored_atr =
AverageTrueRange::new(10, Some(MovingAverageType::Simple), None, Some(floor));
let mut high = 1.00020;
let low = 1.0;
let close = 1.0;
for _ in 0..20 {
high -= (high - low) / 2.0;
floored_atr.update_raw(high, low, close);
}
assert_eq!(floored_atr.value, floor);
}
#[rstest]
fn test_reset_successfully_returns_indicator_to_fresh_state() {
let mut atr = AverageTrueRange::new(10, Some(MovingAverageType::Simple), None, None);
for _ in 0..1000 {
atr.update_raw(1.00010, 1.0, 1.00005);
}
atr.reset();
assert!(!atr.initialized);
assert_eq!(atr.value, 0.0);
}
}