1use std::fmt::{Debug, Display};
17
18use nautilus_core::correctness::FAILED;
19use nautilus_model::data::Bar;
20
21use super::kc::KeltnerChannel;
22use crate::{average::MovingAverageType, indicator::Indicator, support::is_valid_hlc};
23
24#[repr(C)]
25#[derive(Debug)]
26#[cfg_attr(
27 feature = "python",
28 pyo3::pyclass(module = "nautilus_trader.indicators", unsendable)
29)]
30#[cfg_attr(
31 feature = "python",
32 pyo3_stub_gen::derive::gen_stub_pyclass(module = "nautilus_trader.indicators")
33)]
34pub struct KeltnerPosition {
35 pub period: usize,
36 pub k_multiplier: f64,
37 pub ma_type: MovingAverageType,
38 pub ma_type_atr: MovingAverageType,
39 pub use_previous: bool,
40 pub atr_floor: f64,
41 pub value: f64,
42 pub initialized: bool,
43 has_inputs: bool,
44 kc: KeltnerChannel,
45}
46
47impl Display for KeltnerPosition {
48 fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
49 write!(
50 f,
51 "{}({},{},{},{},{})",
52 self.name(),
53 self.period,
54 self.k_multiplier,
55 self.ma_type,
56 self.ma_type_atr,
57 self.use_previous
58 )
59 }
60}
61
62impl Indicator for KeltnerPosition {
63 fn name(&self) -> String {
64 stringify!(KeltnerPosition).to_string()
65 }
66
67 fn has_inputs(&self) -> bool {
68 self.has_inputs
69 }
70
71 fn initialized(&self) -> bool {
72 self.initialized
73 }
74
75 fn handle_bar(&mut self, bar: &Bar) {
76 self.update_raw((&bar.high).into(), (&bar.low).into(), (&bar.close).into());
77 }
78
79 fn reset(&mut self) {
80 self.kc.reset();
81 self.value = 0.0;
82 self.has_inputs = false;
83 self.initialized = false;
84 }
85}
86
87impl KeltnerPosition {
88 #[must_use]
95 pub fn new(
96 period: usize,
97 k_multiplier: f64,
98 ma_type: Option<MovingAverageType>,
99 ma_type_atr: Option<MovingAverageType>,
100 use_previous: Option<bool>,
101 atr_floor: Option<f64>,
102 ) -> Self {
103 Self::new_checked(
104 period,
105 k_multiplier,
106 ma_type,
107 ma_type_atr,
108 use_previous,
109 atr_floor,
110 )
111 .expect(FAILED)
112 }
113
114 pub(crate) fn new_checked(
115 period: usize,
116 k_multiplier: f64,
117 ma_type: Option<MovingAverageType>,
118 ma_type_atr: Option<MovingAverageType>,
119 use_previous: Option<bool>,
120 atr_floor: Option<f64>,
121 ) -> anyhow::Result<Self> {
122 let kc = KeltnerChannel::new_checked(
123 period,
124 k_multiplier,
125 None,
126 ma_type,
127 ma_type_atr.or(Some(MovingAverageType::Simple)),
128 use_previous,
129 atr_floor,
130 )?;
131 Ok(Self {
132 period,
133 k_multiplier,
134 ma_type: ma_type.unwrap_or(MovingAverageType::Exponential),
135 ma_type_atr: ma_type_atr.unwrap_or(MovingAverageType::Simple),
136 use_previous: use_previous.unwrap_or(true),
137 atr_floor: atr_floor.unwrap_or(0.0),
138 value: 0.0,
139 has_inputs: false,
140 initialized: false,
141 kc,
142 })
143 }
144
145 pub fn update_raw(&mut self, high: f64, low: f64, close: f64) {
146 if !is_valid_hlc(high, low, close) {
147 return;
148 }
149
150 self.kc.update_raw(high, low, close);
151
152 if !self.initialized {
154 self.has_inputs = true;
155
156 if self.kc.initialized() {
157 self.initialized = true;
158 }
159 }
160
161 let k_width = (self.kc.upper - self.kc.lower) / 2.0;
162
163 if k_width > 0.0 {
164 self.value = (close - self.kc.middle) / k_width;
165 } else {
166 self.value = 0.0;
167 }
168 }
169}
170
171#[cfg(test)]
172mod tests {
173 use rstest::rstest;
174
175 use super::*;
176 use crate::{stubs::kp_10, testing::assert_approx_equal};
177
178 #[rstest]
179 fn test_name_returns_expected_string(kp_10: KeltnerPosition) {
180 assert_eq!(kp_10.name(), "KeltnerPosition");
181 }
182
183 #[rstest]
184 fn test_str_repr_returns_expected_string(kp_10: KeltnerPosition) {
185 assert_eq!(
186 format!("{kp_10}"),
187 "KeltnerPosition(10,2,SIMPLE,SIMPLE,true)"
188 );
189 }
190
191 #[rstest]
192 fn test_period_returns_expected_value(kp_10: KeltnerPosition) {
193 assert_eq!(kp_10.period, 10);
194 assert_eq!(kp_10.k_multiplier, 2.0);
195 }
196
197 #[rstest]
198 fn test_initialized_without_inputs_returns_false(kp_10: KeltnerPosition) {
199 assert!(!kp_10.initialized());
200 }
201
202 #[rstest]
203 fn test_value_with_all_higher_inputs_returns_expected_value(mut kp_10: KeltnerPosition) {
204 let high_values = [
205 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0,
206 ];
207 let low_values = [
208 0.9, 1.9, 2.9, 3.9, 4.9, 5.9, 6.9, 7.9, 8.9, 9.9, 10.1, 10.2, 10.3, 11.1, 11.4,
209 ];
210
211 let close_values = [
212 0.95, 1.95, 2.95, 3.95, 4.95, 5.95, 6.95, 7.95, 8.95, 9.95, 10.55, 11.1, 12.0, 13.0,
213 14.0,
214 ];
215
216 for i in 0..15 {
217 kp_10.update_raw(high_values[i], low_values[i], close_values[i]);
218 }
219
220 assert!(kp_10.initialized());
221 assert_approx_equal(kp_10.value, 1.17533718690);
222 }
223
224 #[rstest]
225 fn test_reset_successfully_returns_indicator_to_fresh_state(mut kp_10: KeltnerPosition) {
226 for _ in 0..9 {
227 kp_10.update_raw(11.0, 9.0, 10.0);
228 }
229 kp_10.update_raw(11.0, 9.0, 10.5);
230 let middle = 10.0 + 1.0 / 60.0;
233 assert!(kp_10.initialized());
234 assert!((kp_10.kc.middle - middle).abs() < 1e-12);
235 assert!((kp_10.kc.upper - (middle + 4.0)).abs() < 1e-12);
236 assert!((kp_10.kc.lower - (middle - 4.0)).abs() < 1e-12);
237 assert!((kp_10.value - (10.5 - middle) / 4.0).abs() < 1e-12);
238
239 kp_10.reset();
240
241 assert!(!kp_10.initialized());
242 assert!(!kp_10.has_inputs);
243 assert_eq!(kp_10.value, 0.0);
244 assert_eq!(kp_10.kc.upper, 0.0);
245 assert_eq!(kp_10.kc.middle, 0.0);
246 assert_eq!(kp_10.kc.lower, 0.0);
247 }
248
249 #[rstest]
250 #[case(1.0, 2.0, 2.0)]
251 #[case(2.0, 1.0, 2.5)]
252 #[case(2.0, 1.0, f64::NAN)]
253 fn test_rejected_candle_leaves_state_unchanged(
254 #[case] high: f64,
255 #[case] low: f64,
256 #[case] close: f64,
257 ) {
258 let mut kp = KeltnerPosition::new(
259 1,
260 2.0,
261 Some(MovingAverageType::Simple),
262 Some(MovingAverageType::Simple),
263 None,
264 None,
265 );
266 kp.update_raw(2.0, 1.0, 1.5);
267 kp.update_raw(high, low, close);
268
269 assert!(kp.initialized());
270 assert_eq!(kp.kc.middle, 1.5);
271 assert_eq!(kp.value, 0.0);
272 }
273
274 #[rstest]
275 fn test_new_defaults_to_exponential_moving_average() {
276 let mut kp = KeltnerPosition::new(10, 2.0, None, None, None, None);
277 let high_values = [
278 100.75, 102.5, 102.0, 103.0, 104.0, 102.25, 101.25, 103.0, 105.75, 104.5, 106.0, 105.5,
279 107.25, 106.5, 108.25, 107.0, 109.0, 108.75, 110.0, 109.5,
280 ];
281 let low_values = [
282 99.5, 100.75, 100.25, 101.5, 102.5, 100.25, 100.0, 101.25, 104.0, 103.0, 104.5, 103.5,
283 106.0, 104.75, 106.5, 105.5, 107.5, 106.75, 108.75, 107.75,
284 ];
285 let close_values = [
286 100.0, 101.5, 100.75, 102.25, 103.0, 101.0, 100.5, 102.0, 104.5, 103.75, 105.0, 104.25,
287 106.5, 105.5, 107.0, 106.25, 108.0, 107.5, 109.25, 108.5,
288 ];
289
290 for i in 0..20 {
291 kp.update_raw(high_values[i], low_values[i], close_values[i]);
292 }
293
294 assert_eq!(kp.ma_type, MovingAverageType::Exponential);
295 assert_eq!(kp.ma_type_atr, MovingAverageType::Simple);
296 assert!(kp.initialized());
297 assert_approx_equal(kp.value, 0.364862661420);
298 }
299}