nautilus_indicators/python/average/
lr.rs1use nautilus_model::data::Bar;
17use pyo3::prelude::*;
18
19use crate::{average::lr::LinearRegression, indicator::Indicator};
20
21#[pymethods]
22#[pyo3_stub_gen::derive::gen_stub_pymethods]
23impl LinearRegression {
24 #[new]
26 #[must_use]
27 pub fn py_new(period: usize) -> Self {
28 Self::new(period)
29 }
30
31 fn __repr__(&self) -> String {
32 format!("LinearRegression({})", self.period)
33 }
34
35 #[getter]
36 #[pyo3(name = "name")]
37 fn py_name(&self) -> String {
38 self.name()
39 }
40
41 #[getter]
42 #[pyo3(name = "period")]
43 const fn py_period(&self) -> usize {
44 self.period
45 }
46
47 #[getter]
48 #[pyo3(name = "slope")]
49 const fn py_slope(&self) -> f64 {
50 self.slope
51 }
52
53 #[getter]
54 #[pyo3(name = "intercept")]
55 const fn py_intercept(&self) -> f64 {
56 self.intercept
57 }
58
59 #[getter]
60 #[pyo3(name = "degree")]
61 const fn py_degree(&self) -> f64 {
62 self.degree
63 }
64
65 #[getter]
66 #[pyo3(name = "cfo")]
67 const fn py_cfo(&self) -> f64 {
68 self.cfo
69 }
70
71 #[getter]
72 #[pyo3(name = "r2")]
73 const fn py_r2(&self) -> f64 {
74 self.r2
75 }
76
77 #[getter]
78 #[pyo3(name = "has_inputs")]
79 fn py_has_inputs(&self) -> bool {
80 self.has_inputs()
81 }
82
83 #[getter]
84 #[pyo3(name = "value")]
85 const fn py_value(&self) -> f64 {
86 self.value
87 }
88
89 #[getter]
90 #[pyo3(name = "initialized")]
91 const fn py_initialized(&self) -> bool {
92 self.initialized
93 }
94
95 #[pyo3(name = "update_raw")]
97 fn py_update_raw(&mut self, close: f64) {
98 self.update_raw(close);
99 }
100
101 #[pyo3(name = "handle_bar")]
102 fn py_handle_bar(&mut self, bar: &Bar) {
103 self.handle_bar(bar);
104 }
105
106 #[pyo3(name = "reset")]
107 fn py_reset(&mut self) {
108 self.reset();
109 }
110}