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//! Klinger Volume Oscillator.
use crate::error::{Error, Result};
use crate::indicators::ema::Ema;
use crate::ohlcv::Candle;
use crate::traits::Indicator;
/// Stephen J. Klinger's Volume Oscillator — a long/short-term volume-force
/// MACD with trend-aware cumulative-money-flow weighting.
///
/// Each bar produces a "volume force" (`vf`) whose sign tracks the daily trend
/// (`+1` on an up day, `−1` on a down day, carry-over otherwise) and whose
/// magnitude scales with how the current bar's range compares to the range
/// accumulated since the trend last flipped. The KVO line is the difference of two EMAs of `vf`:
///
/// ```text
/// hlc_t = high_t + low_t + close_t (decides the trend)
/// trend = sign(hlc_t − hlc_{t−1}) (carried over when equal)
/// dm_t = high_t − low_t (the "daily measurement")
/// cm_t = cm_{t−1} + dm_t if trend unchanged
/// cm_t = dm_{t−1} + dm_t if trend just flipped
/// vf_t = volume_t · |2·(dm_t/cm_t − 1)| · trend · 100
/// KVO_t = EMA(vf, fast)_t − EMA(vf, slow)_t
/// ```
///
/// Klinger's textbook configuration is `fast = 34, slow = 55` on daily bars.
/// The first bar only seeds `dm_{t−1}`, so the very first `vf` lands at bar 2;
/// the slow EMA then needs `slow` raw `vf` values to seed, putting the first
/// KVO emission at bar `slow + 1`. A zero `cm_t` (only possible when every bar
/// since the last flip has a zero range) collapses `vf` to `0`.
///
/// # Example
///
/// ```
/// use wickra_core::{Candle, Indicator, Kvo};
///
/// let mut indicator = Kvo::new(34, 55).unwrap();
/// let mut last = None;
/// for i in 0..120 {
/// let base = 100.0 + f64::from(i);
/// let candle =
/// Candle::new(base, base + 2.0, base - 2.0, base + 1.0, 10.0, i64::from(i)).unwrap();
/// last = indicator.update(candle);
/// }
/// assert!(last.is_some());
/// ```
#[derive(Debug, Clone)]
pub struct Kvo {
fast_period: usize,
slow_period: usize,
fast: Ema,
slow: Ema,
prev_dm: Option<f64>,
prev_hlc: f64,
trend: i8,
cm: f64,
}
impl Kvo {
/// Construct a new KVO with the given EMA periods.
///
/// # Errors
/// Returns [`Error::PeriodZero`] if either period is zero, or
/// [`Error::InvalidPeriod`] if `fast >= slow`.
pub fn new(fast: usize, slow: usize) -> Result<Self> {
if fast == 0 || slow == 0 {
return Err(Error::PeriodZero);
}
if fast >= slow {
return Err(Error::InvalidPeriod {
message: "KVO needs fast < slow",
});
}
Ok(Self {
fast_period: fast,
slow_period: slow,
fast: Ema::new(fast)?,
slow: Ema::new(slow)?,
prev_dm: None,
prev_hlc: 0.0,
trend: 0,
cm: 0.0,
})
}
/// Klinger's classic configuration: `EMA(vf, 34) − EMA(vf, 55)`.
pub fn classic() -> Self {
Self::new(34, 55).expect("classic Klinger periods are valid")
}
/// Configured `(fast, slow)` periods.
pub const fn periods(&self) -> (usize, usize) {
(self.fast_period, self.slow_period)
}
}
impl Indicator for Kvo {
type Input = Candle;
type Output = f64;
#[inline]
fn update(&mut self, candle: Candle) -> Option<f64> {
let hlc = candle.high + candle.low + candle.close;
let dm = candle.high - candle.low;
let Some(prev_dm) = self.prev_dm else {
// The first bar only establishes the previous bar's measurements.
self.prev_dm = Some(dm);
self.prev_hlc = hlc;
return None;
};
// The trend sign compares H + L + C with the previous bar's.
let new_trend: i8 = if hlc > self.prev_hlc {
1
} else if hlc < self.prev_hlc {
-1
} else {
self.trend
};
// Cumulative measurement resets to (prev_dm + dm) whenever the trend
// flips. On the very first sign read (trend was 0) we also seed from
// the two-bar sum, matching the textbook definition.
if new_trend != self.trend || self.trend == 0 {
self.cm = prev_dm + dm;
} else {
self.cm += dm;
}
self.trend = new_trend;
let vf = if self.cm == 0.0 {
// Zero-range stretch since the flip — no force to register.
0.0
} else {
candle.volume * (2.0 * (dm / self.cm - 1.0)).abs() * f64::from(new_trend) * 100.0
};
self.prev_dm = Some(dm);
self.prev_hlc = hlc;
let fast = self.fast.update(vf);
let slow = self.slow.update(vf);
Some(fast? - slow?)
}
fn reset(&mut self) {
self.fast.reset();
self.slow.reset();
self.prev_dm = None;
self.prev_hlc = 0.0;
self.trend = 0;
self.cm = 0.0;
}
#[inline]
fn warmup_period(&self) -> usize {
// One bar to seed `prev_dm`, then the slow EMA needs `slow` raw `vf` values.
self.slow_period + 1
}
#[inline]
fn is_ready(&self) -> bool {
self.fast.is_ready() && self.slow.is_ready()
}
#[inline]
fn name(&self) -> &'static str {
"KVO"
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::traits::BatchExt;
use approx::assert_relative_eq;
fn c(high: f64, low: f64, close: f64, volume: f64, ts: i64) -> Candle {
Candle::new(low, high, low, close, volume, ts).unwrap()
}
#[test]
fn rejects_zero_period() {
assert!(matches!(Kvo::new(0, 10), Err(Error::PeriodZero)));
assert!(matches!(Kvo::new(3, 0), Err(Error::PeriodZero)));
}
#[test]
fn rejects_fast_geq_slow() {
assert!(matches!(Kvo::new(34, 34), Err(Error::InvalidPeriod { .. })));
assert!(matches!(Kvo::new(55, 34), Err(Error::InvalidPeriod { .. })));
}
#[test]
fn accessors_and_metadata() {
let k = Kvo::classic();
assert_eq!(k.periods(), (34, 55));
assert_eq!(k.name(), "KVO");
assert_eq!(k.warmup_period(), 56);
}
#[test]
fn zero_ohlc_collapses_vf_to_zero() {
// Two consecutive all-zero bars: dm = 0 for both, so prev_dm + dm = 0
// and `cm == 0.0` fires the defensive branch, holding vf at zero.
let mut k = Kvo::new(3, 6).unwrap();
let zero = Candle::new(0.0, 0.0, 0.0, 0.0, 100.0, 0).unwrap();
assert_eq!(k.update(zero), None);
assert_eq!(k.update(zero), None);
assert_eq!(k.update(zero), None);
}
#[test]
fn constant_series_yields_zero() {
// dm flat -> trend never sets to a nonzero sign and vf collapses to 0
// for every bar; both EMAs hold at 0 once seeded.
let candles: Vec<Candle> = (0..120).map(|i| c(10.0, 10.0, 10.0, 100.0, i)).collect();
let mut k = Kvo::new(3, 6).unwrap();
for v in k.batch(&candles).into_iter().flatten() {
assert_relative_eq!(v, 0.0, epsilon = 1e-12);
}
}
#[test]
fn warmup_emits_at_slow_plus_one() {
let candles: Vec<Candle> = (0..30i64)
.map(|i| {
let f = i as f64;
c(10.0 + f, 8.0 + f, 9.0 + f, 100.0, i)
})
.collect();
let mut k = Kvo::new(3, 5).unwrap();
let out = k.batch(&candles);
for (i, v) in out.iter().enumerate().take(5) {
assert!(v.is_none(), "index {i} must be None during warmup");
}
// First emission lands at index slow_period (one seed bar + slow EMA seeding from there).
assert!(out[5].is_some(), "first value lands at slow_period");
}
#[test]
fn batch_equals_streaming() {
let candles: Vec<Candle> = (0..100i64)
.map(|i| {
let f = i as f64;
let mid = 100.0 + (f * 0.2).sin() * 4.0;
c(mid + 1.0, mid - 1.0, mid, 10.0 + ((i % 5) as f64), i)
})
.collect();
let mut a = Kvo::classic();
let mut b = Kvo::classic();
assert_eq!(
a.batch(&candles),
candles.iter().map(|x| b.update(*x)).collect::<Vec<_>>()
);
}
#[test]
fn reset_clears_state() {
let candles: Vec<Candle> = (0..80i64)
.map(|i| {
let f = i as f64;
c(11.0 + f, 9.0 + f, 10.0 + f, 100.0, i)
})
.collect();
let mut k = Kvo::classic();
k.batch(&candles);
assert!(k.is_ready());
k.reset();
assert!(!k.is_ready());
assert_eq!(k.update(candles[0]), None);
}
fn wave(len: i64) -> Vec<Candle> {
(0..len)
.map(|i| {
let step = f64::from(i32::try_from(i).unwrap());
let mid = 100.0 + (step * 0.31).sin() * 4.0;
let half = 0.6 + (step * 0.17).cos().abs();
c(
mid + half,
mid - half,
mid + 0.3 * half,
50.0 + (step * 0.7).sin() * 20.0,
i,
)
})
.collect()
}
#[test]
fn rejects_period_above_max() {
let too_big = crate::error::MAX_PERIOD + 1;
assert!(matches!(
Kvo::new(3, too_big),
Err(Error::InvalidPeriod { .. })
));
}
#[test]
fn hand_computed_reference() {
// fast EMA(2) alpha 2/3, slow EMA(3) alpha 1/2; both seeded with the mean.
// bar H L C V hlc dm trend cm vf
// b0 10 8 9 100 27 2 seed
// b1 11 9 10 100 30 2 +1 2 + 2 = 4 (first) 100·|2(2/4 − 1)|·100 = 10000
// b2 12 9 11 200 32 3 +1 4 + 3 = 7 200·|2(3/7 − 1)|·100 = 160000/7
// b3 11 10 10.5 100 31.5 1 −1 3 + 1 = 4 (flip) −100·|2(1/4 − 1)|·100 = −15000
// b4 11 10 10.5 100 31.5 1 −1 4 + 1 = 5 (carry) −100·|2(1/5 − 1)|·100 = −16000
// b5 12 9.5 11 100 32.5 2.5 +1 1 + 2.5 = 3.5 100·|2(2.5/3.5 − 1)|·100 = 40000/7
// fast: f2 = (10000 + 160000/7)/2 = 115000/7
// f3 = 2/3·(−15000) + 1/3·f2 = −95000/21
// f4 = 2/3·(−16000) + 1/3·f3 = −767000/63
// slow: s3 = (10000 + 160000/7 − 15000)/3 = 125000/21
// s4 = 1/2·(−16000) + 1/2·s3 = −316500/63
// KVO3 = f3 − s3 = −220000/21, KVO4 = f4 − s4 = −450500/63
// b5: f5 = 2/3·40000/7 + 1/3·f4, s5 = 1/2·40000/7 + 1/2·s4
let candles = [
c(10.0, 8.0, 9.0, 100.0, 0),
c(11.0, 9.0, 10.0, 100.0, 1),
c(12.0, 9.0, 11.0, 200.0, 2),
c(11.0, 10.0, 10.5, 100.0, 3),
c(11.0, 10.0, 10.5, 100.0, 4),
c(12.0, 9.5, 11.0, 100.0, 5),
];
let mut k = Kvo::new(2, 3).unwrap();
assert_eq!(k.warmup_period(), 4);
let out = k.batch(&candles);
assert!(out[..3].iter().all(Option::is_none));
assert_relative_eq!(out[3].unwrap(), -220_000.0 / 21.0, max_relative = 1e-12);
assert_relative_eq!(out[4].unwrap(), -450_500.0 / 63.0, max_relative = 1e-12);
let f5 = 2.0 / 3.0 * (40_000.0 / 7.0) + (-767_000.0 / 63.0) / 3.0;
let s5 = 0.5 * (40_000.0 / 7.0) + 0.5 * (-316_500.0 / 63.0);
assert_relative_eq!(out[5].unwrap(), f5 - s5, max_relative = 1e-12);
}
#[test]
fn zero_volume_yields_zero() {
// vf scales with volume, so a zero-volume series gives KVO = 0.
let candles: Vec<Candle> = wave(30)
.into_iter()
.map(|x| Candle::new(x.open, x.high, x.low, x.close, 0.0, x.timestamp).unwrap())
.collect();
let out = Kvo::new(3, 5).unwrap().batch(&candles);
assert!(out[5..].iter().all(|v| v.is_some_and(|x| x.abs() < 1e-12)));
}
#[test]
fn zero_range_after_a_flip_registers_no_force() {
// b1 sets an up trend, b2 flips down with b1 and b2 both zero-range,
// so cm = 0 + 0 and vf is 0 instead of a division by zero.
let mut k = Kvo::new(1, 2).unwrap();
assert_eq!(k.update(c(10.0, 8.0, 9.0, 100.0, 0)), None);
assert_eq!(k.update(c(11.0, 11.0, 11.0, 100.0, 1)), None);
// vf1 = 100·|2(0/2 − 1)|·100 = 20000, vf2 = 0 -> fast = 0, slow = 10000.
let v = k.update(c(10.0, 10.0, 10.0, 100.0, 2)).unwrap();
assert_relative_eq!(v, -10_000.0, epsilon = 1e-9);
}
#[test]
fn reset_reproduces_a_fresh_run() {
let candles = wave(80);
let mut k = Kvo::new(5, 13).unwrap();
let first = k.batch(&candles);
k.reset();
let second = k.batch(&candles);
assert_eq!(first, second);
assert_eq!(second, Kvo::new(5, 13).unwrap().batch(&candles));
}
#[test]
fn batch_nan_into_matches_streaming_bits() {
let candles = wave(80);
let mut streaming = Kvo::new(5, 13).unwrap();
let expected: Vec<u64> = candles
.iter()
.map(|x| streaming.update(*x).unwrap_or(f64::NAN).to_bits())
.collect();
let mut out = vec![0.0; candles.len()];
Kvo::new(5, 13).unwrap().batch_nan_into(&candles, &mut out);
let got: Vec<u64> = out.iter().map(|v| v.to_bits()).collect();
assert_eq!(got, expected);
}
}