nautilus_indicators/momentum/
bias.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 Bias {
pub period: usize,
pub ma_type: MovingAverageType,
pub value: f64,
pub count: usize,
pub initialized: bool,
ma: Box<dyn MovingAverage + Send + 'static>,
has_inputs: bool,
previous_close: f64,
}
impl Display for Bias {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
write!(f, "{}({},{})", self.name(), self.period, self.ma_type,)
}
}
impl Indicator for Bias {
fn name(&self) -> String {
stringify!(Bias).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.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 Bias {
#[must_use]
pub fn new(period: usize, ma_type: Option<MovingAverageType>) -> Self {
Self {
period,
ma_type: ma_type.unwrap_or(MovingAverageType::Simple),
value: 0.0,
count: 0,
previous_close: 0.0,
ma: MovingAverageFactory::create(ma_type.unwrap_or(MovingAverageType::Simple), period),
has_inputs: false,
initialized: false,
}
}
pub fn update_raw(&mut self, close: f64) {
self.ma.update_raw(close);
self.value = (close / self.ma.value()) - 1.0;
self._check_initialized();
}
pub fn _check_initialized(&mut self) {
if !self.initialized {
self.has_inputs = true;
if self.ma.initialized() {
self.initialized = true;
}
}
}
}
#[cfg(test)]
mod tests {
use rstest::{fixture, rstest};
use super::*;
use crate::testing::approx_equal;
#[fixture]
fn bias() -> Bias {
Bias::new(10, None)
}
#[rstest]
fn test_name_returns_expected_string(bias: Bias) {
assert_eq!(bias.name(), "Bias");
}
#[rstest]
fn test_str_repr_returns_expected_string(bias: Bias) {
assert_eq!(format!("{bias}"), "Bias(10,SIMPLE)");
}
#[rstest]
fn test_period_returns_expected_value(bias: Bias) {
assert_eq!(bias.period, 10);
}
#[rstest]
fn test_initialized_without_inputs_returns_false(bias: Bias) {
assert!(!bias.initialized());
}
#[rstest]
fn test_initialized_with_required_inputs_returns_true(mut bias: Bias) {
for i in 1..=10 {
bias.update_raw(f64::from(i));
}
assert!(bias.initialized());
}
#[rstest]
fn test_value_with_one_input_returns_expected_value(mut bias: Bias) {
bias.update_raw(1.0);
assert_eq!(bias.value, 0.0);
}
#[rstest]
fn test_value_with_all_higher_inputs_returns_expected_value(mut bias: Bias) {
let inputs = [
109.93, 110.0, 109.77, 109.96, 110.29, 110.53, 110.27, 110.21, 110.06, 110.19, 109.83,
109.9, 110.0, 110.03, 110.13, 109.95, 109.75, 110.15, 109.9, 110.04,
];
for input in &inputs {
bias.update_raw(*input);
}
assert!(approx_equal(bias.value, 0.000_654_735_923_177_662_8));
}
#[rstest]
fn test_reset_successfully_returns_indicator_to_fresh_state(mut bias: Bias) {
bias.update_raw(1.00020);
bias.update_raw(1.00030);
bias.update_raw(1.00050);
bias.reset();
assert!(!bias.initialized());
assert_eq!(bias.value, 0.0);
}
}