1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
//! Pairwise Beta — rolling OLS slope of one asset's log-returns on another's.
use std::collections::VecDeque;
use crate::error::{Error, Result};
use crate::traits::Indicator;
/// Rolling Beta of asset `a`'s **log-returns** on asset `b`'s log-returns.
///
/// Each `update` receives one `(a, b)` pair of raw **prices**. Internally the
/// indicator differences consecutive prices into log-returns
/// `rₜ = ln(pₜ / pₜ₋₁)` and runs a rolling ordinary-least-squares regression of
/// `a`'s returns on `b`'s returns over the trailing window of `period` return
/// pairs:
///
/// ```text
/// cov_ab = (1/n) · Σ rₐ·r_b − r̄ₐ·r̄_b
/// var_b = (1/n) · Σ r_b² − r̄_b²
/// Beta = cov_ab / var_b
/// ```
///
/// This is the slope of the OLS line and measures how much asset `a` moves, in
/// return space, for a unit return of asset `b`. A reading of `1.0` means the
/// two move together one-for-one; `2.0` means `a` typically doubles `b`'s
/// moves; negative readings signal an inverse relationship and the basis for a
/// hedge.
///
/// This differs from [`crate::Beta`], which regresses the raw inputs it is
/// fed. `PairwiseBeta` always works in return space: feed it raw price levels
/// and it computes the returns for you, which is the conventional way to
/// measure cross-asset Beta (a Beta on price *levels* is dominated by the
/// shared trend and rarely what you want).
///
/// Each `update` is O(1): four running sums (`Σrₐ`, `Σr_b`, `Σr_b²`,
/// `Σrₐ·r_b`) are maintained as the window of returns slides. A flat `b`
/// window has zero return variance and Beta is undefined; the indicator
/// returns `0` in that case rather than producing `NaN`.
///
/// Prices must be strictly positive and finite for the log-return to be
/// defined. A non-positive or non-finite price breaks the return chain: that
/// sample is dropped and the next valid price re-seeds the previous-price
/// reference, exactly as a real feed would resume after a bad tick.
///
/// # Example
///
/// ```
/// use wickra_core::{Indicator, PairwiseBeta};
///
/// let mut indicator = PairwiseBeta::new(10).unwrap();
/// let mut last = None;
/// for i in 0..30 {
/// // A varying (non-constant-return) positive price path.
/// let b = 100.0 + 10.0 * (f64::from(i) * 0.5).sin();
/// // `a = b²`, so a's log-returns are exactly twice b's.
/// last = indicator.update((b * b, b));
/// }
/// assert!((last.unwrap() - 2.0).abs() < 1e-9);
/// ```
#[derive(Debug, Clone)]
pub struct PairwiseBeta {
period: usize,
prev: Option<(f64, f64)>,
window: VecDeque<(f64, f64)>,
sum_a: f64,
sum_b: f64,
sum_bb: f64,
sum_ab: f64,
}
impl PairwiseBeta {
/// Construct a new rolling pairwise Beta over `period` return pairs.
///
/// # Errors
/// Returns [`Error::InvalidPeriod`] if `period < 2` (variance needs at
/// least two returns).
pub fn new(period: usize) -> Result<Self> {
if period < 2 {
return Err(Error::InvalidPeriod {
message: "pairwise beta needs period >= 2",
});
}
Ok(Self {
period,
prev: None,
window: VecDeque::with_capacity(period),
sum_a: 0.0,
sum_b: 0.0,
sum_bb: 0.0,
sum_ab: 0.0,
})
}
/// Configured period (number of return pairs in the rolling window).
pub const fn period(&self) -> usize {
self.period
}
fn push_return(&mut self, ra: f64, rb: f64) -> Option<f64> {
if self.window.len() == self.period {
let (oa, ob) = self.window.pop_front().expect("non-empty");
self.sum_a -= oa;
self.sum_b -= ob;
self.sum_bb -= ob * ob;
self.sum_ab -= oa * ob;
}
self.window.push_back((ra, rb));
self.sum_a += ra;
self.sum_b += rb;
self.sum_bb += rb * rb;
self.sum_ab += ra * rb;
if self.window.len() < self.period {
return None;
}
let n = self.period as f64;
let mean_a = self.sum_a / n;
let mean_b = self.sum_b / n;
let var_b = (self.sum_bb / n - mean_b * mean_b).max(0.0);
let cov = self.sum_ab / n - mean_a * mean_b;
if var_b == 0.0 {
// A flat benchmark-return window has no defined beta.
return Some(0.0);
}
Some(cov / var_b)
}
}
impl Indicator for PairwiseBeta {
/// `(a, b)` price pair.
type Input = (f64, f64);
type Output = f64;
fn update(&mut self, input: (f64, f64)) -> Option<f64> {
let (a, b) = input;
if !(a > 0.0 && b > 0.0 && a.is_finite() && b.is_finite()) {
// Bad tick: drop it and restart the return chain.
self.prev = None;
return None;
}
let Some((pa, pb)) = self.prev else {
self.prev = Some((a, b));
return None;
};
self.prev = Some((a, b));
let ra = (a / pa).ln();
let rb = (b / pb).ln();
self.push_return(ra, rb)
}
fn reset(&mut self) {
self.prev = None;
self.window.clear();
self.sum_a = 0.0;
self.sum_b = 0.0;
self.sum_bb = 0.0;
self.sum_ab = 0.0;
}
fn warmup_period(&self) -> usize {
// One prior price to seed, then `period` return pairs.
self.period + 1
}
fn is_ready(&self) -> bool {
self.window.len() == self.period
}
fn name(&self) -> &'static str {
"PairwiseBeta"
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::traits::BatchExt;
use approx::assert_relative_eq;
#[test]
fn rejects_period_below_two() {
assert!(PairwiseBeta::new(0).is_err());
assert!(PairwiseBeta::new(1).is_err());
assert!(PairwiseBeta::new(2).is_ok());
}
#[test]
fn accessors_and_metadata() {
let b = PairwiseBeta::new(14).unwrap();
assert_eq!(b.period(), 14);
assert_eq!(b.warmup_period(), 15);
assert_eq!(b.name(), "PairwiseBeta");
}
#[test]
fn squared_price_gives_beta_two() {
// a = b² ⇒ a's log-returns are exactly 2× b's ⇒ beta = 2.
let pairs: Vec<(f64, f64)> = (0..20)
.map(|i| {
let b = 100.0 + 10.0 * (f64::from(i) * 0.5).sin();
(b * b, b)
})
.collect();
let last = PairwiseBeta::new(5)
.unwrap()
.batch(&pairs)
.into_iter()
.flatten()
.last()
.unwrap();
assert_relative_eq!(last, 2.0, epsilon = 1e-9);
}
#[test]
fn inverse_price_gives_beta_minus_one() {
// a = 1/b ⇒ a's log-returns are −1× b's ⇒ beta = −1.
let pairs: Vec<(f64, f64)> = (0..20)
.map(|i| {
let b = 100.0 + 10.0 * (f64::from(i) * 0.5).sin();
(1.0 / b, b)
})
.collect();
let last = PairwiseBeta::new(5)
.unwrap()
.batch(&pairs)
.into_iter()
.flatten()
.last()
.unwrap();
assert_relative_eq!(last, -1.0, epsilon = 1e-9);
}
#[test]
fn flat_benchmark_returns_zero() {
// b constant ⇒ zero return variance ⇒ beta defined as 0.
let pairs: Vec<(f64, f64)> = (0..10).map(|i| (100.0 * 1.01_f64.powi(i), 7.0)).collect();
let last = PairwiseBeta::new(5)
.unwrap()
.batch(&pairs)
.into_iter()
.flatten()
.last()
.unwrap();
assert_relative_eq!(last, 0.0, epsilon = 1e-12);
}
#[test]
fn bad_tick_breaks_return_chain() {
let mut b = PairwiseBeta::new(3).unwrap();
// Seed, one good return, then a non-positive price drops the chain.
assert_eq!(b.update((100.0, 100.0)), None);
assert_eq!(b.update((101.0, 101.0)), None);
assert_eq!(b.update((0.0, 50.0)), None); // bad tick, prev reset
assert!(!b.is_ready());
// A non-finite price is rejected the same way.
assert_eq!(b.update((f64::NAN, 50.0)), None);
assert!(!b.is_ready());
// Recovery: subsequent valid prices rebuild the window cleanly.
for i in 0..5 {
let p = 100.0 * 1.01_f64.powi(i);
b.update((p * p, p));
}
assert!(b.is_ready());
}
#[test]
fn reset_clears_state() {
let mut b = PairwiseBeta::new(3).unwrap();
for i in 0..6 {
let p = 100.0 * 1.01_f64.powi(i);
b.update((p * p, p));
}
assert!(b.is_ready());
b.reset();
assert!(!b.is_ready());
assert_eq!(b.update((100.0, 100.0)), None);
}
#[test]
fn batch_equals_streaming() {
let pairs: Vec<(f64, f64)> = (0..60)
.map(|i| {
let t = f64::from(i);
let b = 100.0 + 5.0 * t.sin();
let a = 100.0 + 3.0 * t.sin() + 0.5 * t.cos();
(a, b)
})
.collect();
let batch = PairwiseBeta::new(14).unwrap().batch(&pairs);
let mut b = PairwiseBeta::new(14).unwrap();
let streamed: Vec<_> = pairs.iter().map(|p| b.update(*p)).collect();
assert_eq!(batch, streamed);
}
}