feat(derivatives): leverage, OI/volume, perpetual premium, funding APR, OI momentum (B16) (#214)

## B16 Derivatives — five new indicators (488 → 493)

All consume a `DerivativesTick` and emit `f64`:

| Indicator | Reads | Formula |
|-----------|-------|---------|
| `EstimatedLeverageRatio` | open_interest, long_size, short_size | `OI / (long + short)` |
| `OiToVolumeRatio` | open_interest, taker_buy_volume, taker_sell_volume | `OI / (buy + sell)` |
| `PerpetualPremiumIndex` | mark_price, index_price | `(mark − index) / index` |
| `FundingImpliedApr` | funding_rate | `rate × intervals_per_year` |
| `OpenInterestMomentum` | open_interest | `100 · (OI_t − OI_{t−period}) / OI_{t−period}` |

### Wiring
- Core structs + full unit tests (incl. zero-denominator branches).
- Hand-written Python/Node/WASM tick bindings; two new tick helpers (`deriv_oi_long_short`, `deriv_oi_taker`).
- Fuzz drives in `indicator_update_derivatives.rs`; dedicated reference + streaming-vs-batch tests (Python + Node).
- README counter + `docs/README.md` + `FAMILIES` assert bumped to 493.

### Verify (local, all green)
- `cargo test -p wickra-core --lib`: 4028 · `--doc`: 443
- clippy workspace: clean
- node: 563 · pytest: 928
This commit is contained in:
kingchenc
2026-06-08 03:33:59 +02:00
committed by GitHub
parent dc415a77fd
commit ff5a047078
19 changed files with 1973 additions and 38 deletions
@@ -0,0 +1,155 @@
//! Estimated Leverage Ratio — open interest per unit of aggregate position size.
use crate::derivatives::DerivativesTick;
use crate::traits::Indicator;
/// Estimated Leverage Ratio (ELR) — open interest relative to the aggregate
/// long+short position size, a proxy for how leveraged outstanding positions are.
///
/// ```text
/// ELR = open_interest / (long_size + short_size)
/// ```
///
/// The classic estimated leverage ratio compares open interest (the notional of
/// outstanding contracts) to the capital backing it. With the size fields of a
/// [`DerivativesTick`] standing in for the position base, the ratio rises when a
/// given pool of positions controls more open interest — i.e. when the market is
/// running hotter leverage. Spikes in ELR mark crowded, fragile conditions where a
/// move can cascade into liquidations; a falling ELR marks deleveraging.
///
/// The ratio is non-negative; a tick with zero aggregate size reports `0` rather
/// than dividing by zero. It is stateless — each tick yields one value (no warmup).
/// Each `update` is O(1).
///
/// # Example
///
/// ```
/// use wickra_core::{DerivativesTick, Indicator, EstimatedLeverageRatio};
///
/// let mut indicator = EstimatedLeverageRatio::new();
/// let tick = DerivativesTick::new(0.0001, 100.0, 100.0, 100.0, 1_000.0, 400.0, 600.0, 0.0, 0.0, 0.0, 0.0, 0).unwrap();
/// let elr = indicator.update(tick).unwrap();
/// assert!((elr - 1.0).abs() < 1e-12); // 1000 / (400 + 600)
/// ```
#[derive(Debug, Clone, Default)]
pub struct EstimatedLeverageRatio {
ready: bool,
}
impl EstimatedLeverageRatio {
/// Construct a new Estimated Leverage Ratio. The indicator is parameter-free.
#[must_use]
pub const fn new() -> Self {
Self { ready: false }
}
}
impl Indicator for EstimatedLeverageRatio {
type Input = DerivativesTick;
type Output = f64;
fn update(&mut self, tick: DerivativesTick) -> Option<f64> {
let base = tick.long_size + tick.short_size;
let elr = if base > 0.0 {
tick.open_interest / base
} else {
0.0
};
self.ready = true;
Some(elr)
}
fn reset(&mut self) {
self.ready = false;
}
fn warmup_period(&self) -> usize {
1
}
fn is_ready(&self) -> bool {
self.ready
}
fn name(&self) -> &'static str {
"EstimatedLeverageRatio"
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::traits::BatchExt;
use approx::assert_relative_eq;
fn tick(oi: f64, long: f64, short: f64) -> DerivativesTick {
DerivativesTick::new_unchecked(
0.0, 100.0, 100.0, 100.0, oi, long, short, 0.0, 0.0, 0.0, 0.0, 0,
)
}
#[test]
fn accessors_and_metadata() {
let e = EstimatedLeverageRatio::new();
assert_eq!(e.warmup_period(), 1);
assert_eq!(e.name(), "EstimatedLeverageRatio");
assert!(!e.is_ready());
}
#[test]
fn ratio_reference_value() {
let mut e = EstimatedLeverageRatio::new();
// 1000 / (400 + 600) = 1.0.
assert_relative_eq!(
e.update(tick(1_000.0, 400.0, 600.0)).unwrap(),
1.0,
epsilon = 1e-12
);
}
#[test]
fn higher_oi_raises_ratio() {
let mut e = EstimatedLeverageRatio::new();
let low = e.update(tick(1_000.0, 500.0, 500.0)).unwrap();
let high = e.update(tick(3_000.0, 500.0, 500.0)).unwrap();
assert!(high > low);
}
#[test]
fn zero_base_is_zero() {
let mut e = EstimatedLeverageRatio::new();
assert_relative_eq!(
e.update(tick(1_000.0, 0.0, 0.0)).unwrap(),
0.0,
epsilon = 1e-12
);
}
#[test]
fn ready_after_first_update() {
let mut e = EstimatedLeverageRatio::new();
assert!(!e.is_ready());
e.update(tick(1_000.0, 500.0, 500.0));
assert!(e.is_ready());
}
#[test]
fn reset_clears_state() {
let mut e = EstimatedLeverageRatio::new();
e.update(tick(1_000.0, 500.0, 500.0));
assert!(e.is_ready());
e.reset();
assert!(!e.is_ready());
}
#[test]
fn batch_equals_streaming() {
let ticks: Vec<DerivativesTick> = (0..40)
.map(|i| tick(1_000.0 + f64::from(i) * 10.0, 500.0, 500.0))
.collect();
let batch = EstimatedLeverageRatio::new().batch(&ticks);
let mut b = EstimatedLeverageRatio::new();
let streamed: Vec<_> = ticks.iter().map(|x| b.update(*x)).collect();
assert_eq!(batch, streamed);
}
}
@@ -0,0 +1,164 @@
//! Funding-Implied APR — the per-interval funding rate annualised.
use crate::derivatives::DerivativesTick;
use crate::error::{Error, Result};
use crate::traits::Indicator;
/// Funding-Implied APR — the perpetual's per-interval funding rate scaled to an
/// annualised rate.
///
/// ```text
/// APR = funding_rate · intervals_per_year
/// ```
///
/// Funding is paid in small per-interval amounts (commonly every 8 hours, i.e.
/// `1095` intervals per year). Annualising it converts the headline funding number
/// into the carry cost (or yield) of holding the position for a year, which is far
/// easier to reason about and to compare against spot lending rates, basis trades,
/// and other yields. A large positive APR means longs pay a steep carry to shorts
/// (and vice versa) — the economic incentive behind cash-and-carry and
/// funding-arbitrage strategies.
///
/// The output is a fraction (multiply by `100` for percent) and may be negative.
/// It is stateless — each tick yields one value (no warmup). Each `update` is O(1).
///
/// # Example
///
/// ```
/// use wickra_core::{DerivativesTick, Indicator, FundingImpliedApr};
///
/// // 0.01% per 8h funding -> 0.0001 * 1095 ≈ 10.95% APR.
/// let mut indicator = FundingImpliedApr::new(1095.0).unwrap();
/// let tick = DerivativesTick::new(0.0001, 100.0, 100.0, 100.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0).unwrap();
/// let apr = indicator.update(tick).unwrap();
/// assert!((apr - 0.1095).abs() < 1e-9);
/// ```
#[derive(Debug, Clone)]
pub struct FundingImpliedApr {
intervals_per_year: f64,
ready: bool,
}
impl FundingImpliedApr {
/// Construct a Funding-Implied APR with the number of funding intervals per
/// year (e.g. `1095` for 8-hour funding, `365` for daily).
///
/// # Errors
///
/// Returns [`Error::InvalidParameter`] if `intervals_per_year` is not finite
/// and positive.
pub fn new(intervals_per_year: f64) -> Result<Self> {
if !intervals_per_year.is_finite() || intervals_per_year <= 0.0 {
return Err(Error::InvalidParameter {
message: "intervals_per_year must be finite and positive",
});
}
Ok(Self {
intervals_per_year,
ready: false,
})
}
/// Configured intervals per year.
pub const fn intervals_per_year(&self) -> f64 {
self.intervals_per_year
}
}
impl Indicator for FundingImpliedApr {
type Input = DerivativesTick;
type Output = f64;
fn update(&mut self, tick: DerivativesTick) -> Option<f64> {
self.ready = true;
Some(tick.funding_rate * self.intervals_per_year)
}
fn reset(&mut self) {
self.ready = false;
}
fn warmup_period(&self) -> usize {
1
}
fn is_ready(&self) -> bool {
self.ready
}
fn name(&self) -> &'static str {
"FundingImpliedApr"
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::traits::BatchExt;
use approx::assert_relative_eq;
fn tick(funding: f64) -> DerivativesTick {
DerivativesTick::new_unchecked(
funding, 100.0, 100.0, 100.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0,
)
}
#[test]
fn rejects_invalid_intervals() {
assert!(matches!(
FundingImpliedApr::new(0.0),
Err(Error::InvalidParameter { .. })
));
assert!(matches!(
FundingImpliedApr::new(-1.0),
Err(Error::InvalidParameter { .. })
));
}
#[test]
fn accessors_and_metadata() {
let f = FundingImpliedApr::new(1095.0).unwrap();
assert_relative_eq!(f.intervals_per_year(), 1095.0, epsilon = 1e-12);
assert_eq!(f.warmup_period(), 1);
assert_eq!(f.name(), "FundingImpliedApr");
assert!(!f.is_ready());
}
#[test]
fn apr_reference_value() {
let mut f = FundingImpliedApr::new(1095.0).unwrap();
assert_relative_eq!(f.update(tick(0.0001)).unwrap(), 0.1095, epsilon = 1e-9);
}
#[test]
fn negative_funding_is_negative_apr() {
let mut f = FundingImpliedApr::new(1095.0).unwrap();
assert!(f.update(tick(-0.0001)).unwrap() < 0.0);
}
#[test]
fn zero_funding_is_zero() {
let mut f = FundingImpliedApr::new(365.0).unwrap();
assert_relative_eq!(f.update(tick(0.0)).unwrap(), 0.0, epsilon = 1e-12);
}
#[test]
fn reset_clears_state() {
let mut f = FundingImpliedApr::new(1095.0).unwrap();
f.update(tick(0.0001));
assert!(f.is_ready());
f.reset();
assert!(!f.is_ready());
}
#[test]
fn batch_equals_streaming() {
let ticks: Vec<DerivativesTick> = (0..40)
.map(|i| tick(0.0001 * (f64::from(i) * 0.3).sin()))
.collect();
let batch = FundingImpliedApr::new(1095.0).unwrap().batch(&ticks);
let mut b = FundingImpliedApr::new(1095.0).unwrap();
let streamed: Vec<_> = ticks.iter().map(|x| b.update(*x)).collect();
assert_eq!(batch, streamed);
}
}
+16 -1
View File
@@ -131,6 +131,7 @@ mod ema;
mod empirical_mode_decomposition;
mod engulfing;
mod equivolume;
mod estimated_leverage_ratio;
mod even_better_sinewave;
mod evening_doji_star;
mod evwma;
@@ -156,6 +157,7 @@ mod fractal_chaos_bands;
mod frama;
mod fry_pan_bottom;
mod funding_basis;
mod funding_implied_apr;
mod funding_rate;
mod funding_rate_mean;
mod funding_rate_zscore;
@@ -278,9 +280,11 @@ mod ob_imbalance_topn;
mod obv;
mod oi_delta;
mod oi_price_divergence;
mod oi_to_volume_ratio;
mod oi_weighted;
mod omega_ratio;
mod on_neck;
mod open_interest_momentum;
mod opening_marubozu;
mod opening_range;
mod order_flow_imbalance;
@@ -295,6 +299,7 @@ mod pearson_correlation;
mod percent_above_ma;
mod percent_b;
mod percentage_trailing_stop;
mod perpetual_premium_index;
mod pgo;
mod piercing_dark_cloud;
mod pin;
@@ -619,6 +624,7 @@ pub use ema::Ema;
pub use empirical_mode_decomposition::EmpiricalModeDecomposition;
pub use engulfing::Engulfing;
pub use equivolume::{Equivolume, EquivolumeOutput};
pub use estimated_leverage_ratio::EstimatedLeverageRatio;
pub use even_better_sinewave::EvenBetterSinewave;
pub use evening_doji_star::EveningDojiStar;
pub use evwma::Evwma;
@@ -644,6 +650,7 @@ pub use fractal_chaos_bands::{FractalChaosBands, FractalChaosBandsOutput};
pub use frama::Frama;
pub use fry_pan_bottom::FryPanBottom;
pub use funding_basis::FundingBasis;
pub use funding_implied_apr::FundingImpliedApr;
pub use funding_rate::FundingRate;
pub use funding_rate_mean::FundingRateMean;
pub use funding_rate_zscore::FundingRateZScore;
@@ -766,9 +773,11 @@ pub use ob_imbalance_topn::OrderBookImbalanceTopN;
pub use obv::Obv;
pub use oi_delta::OpenInterestDelta;
pub use oi_price_divergence::OIPriceDivergence;
pub use oi_to_volume_ratio::OiToVolumeRatio;
pub use oi_weighted::OIWeighted;
pub use omega_ratio::OmegaRatio;
pub use on_neck::OnNeck;
pub use open_interest_momentum::OpenInterestMomentum;
pub use opening_marubozu::OpeningMarubozu;
pub use opening_range::{OpeningRange, OpeningRangeOutput};
pub use order_flow_imbalance::OrderFlowImbalance;
@@ -783,6 +792,7 @@ pub use pearson_correlation::PearsonCorrelation;
pub use percent_above_ma::PercentAboveMa;
pub use percent_b::PercentB;
pub use percentage_trailing_stop::PercentageTrailingStop;
pub use perpetual_premium_index::PerpetualPremiumIndex;
pub use pgo::Pgo;
pub use piercing_dark_cloud::PiercingDarkCloud;
pub use pin::Pin;
@@ -1478,6 +1488,11 @@ pub const FAMILIES: &[(&str, &[&str])] = &[
"LiquidationFeatures",
"TermStructureBasis",
"CalendarSpread",
"EstimatedLeverageRatio",
"OiToVolumeRatio",
"PerpetualPremiumIndex",
"FundingImpliedApr",
"OpenInterestMomentum",
],
),
(
@@ -1624,6 +1639,6 @@ mod family_tests {
// the actual indicator count is the early-warning signal that an
// indicator was added without being assigned a family.
let total: usize = FAMILIES.iter().map(|(_, ns)| ns.len()).sum();
assert_eq!(total, 488, "FAMILIES total drifted from indicator count");
assert_eq!(total, 493, "FAMILIES total drifted from indicator count");
}
}
@@ -0,0 +1,154 @@
//! OI-to-Volume Ratio — open interest relative to traded volume.
use crate::derivatives::DerivativesTick;
use crate::traits::Indicator;
/// OI-to-Volume Ratio — open interest divided by the tick's total taker volume, a
/// measure of how much position is *held* versus *turned over*.
///
/// ```text
/// OIVR = open_interest / (taker_buy_volume + taker_sell_volume)
/// ```
///
/// A high ratio means open interest dwarfs the volume trading it — positions are
/// being held, not churned (low participation, potential complacency or a coiling
/// market). A low ratio means heavy volume relative to outstanding interest —
/// active churn, often around breakouts or capitulation. Watching the ratio change
/// distinguishes new-money trends (OI and volume both rising) from short-covering
/// or position rolls.
///
/// The ratio is non-negative; a tick with zero taker volume reports `0` rather than
/// dividing by zero. It is stateless — each tick yields one value (no warmup). Each
/// `update` is O(1).
///
/// # Example
///
/// ```
/// use wickra_core::{DerivativesTick, Indicator, OiToVolumeRatio};
///
/// let mut indicator = OiToVolumeRatio::new();
/// let tick = DerivativesTick::new(0.0, 100.0, 100.0, 100.0, 5_000.0, 0.0, 0.0, 400.0, 600.0, 0.0, 0.0, 0).unwrap();
/// let oivr = indicator.update(tick).unwrap();
/// assert!((oivr - 5.0).abs() < 1e-12); // 5000 / (400 + 600)
/// ```
#[derive(Debug, Clone, Default)]
pub struct OiToVolumeRatio {
ready: bool,
}
impl OiToVolumeRatio {
/// Construct a new OI-to-Volume Ratio. The indicator is parameter-free.
#[must_use]
pub const fn new() -> Self {
Self { ready: false }
}
}
impl Indicator for OiToVolumeRatio {
type Input = DerivativesTick;
type Output = f64;
fn update(&mut self, tick: DerivativesTick) -> Option<f64> {
let volume = tick.taker_buy_volume + tick.taker_sell_volume;
let ratio = if volume > 0.0 {
tick.open_interest / volume
} else {
0.0
};
self.ready = true;
Some(ratio)
}
fn reset(&mut self) {
self.ready = false;
}
fn warmup_period(&self) -> usize {
1
}
fn is_ready(&self) -> bool {
self.ready
}
fn name(&self) -> &'static str {
"OiToVolumeRatio"
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::traits::BatchExt;
use approx::assert_relative_eq;
fn tick(oi: f64, buy: f64, sell: f64) -> DerivativesTick {
DerivativesTick::new_unchecked(
0.0, 100.0, 100.0, 100.0, oi, 0.0, 0.0, buy, sell, 0.0, 0.0, 0,
)
}
#[test]
fn accessors_and_metadata() {
let o = OiToVolumeRatio::new();
assert_eq!(o.warmup_period(), 1);
assert_eq!(o.name(), "OiToVolumeRatio");
assert!(!o.is_ready());
}
#[test]
fn ratio_reference_value() {
let mut o = OiToVolumeRatio::new();
assert_relative_eq!(
o.update(tick(5_000.0, 400.0, 600.0)).unwrap(),
5.0,
epsilon = 1e-12
);
}
#[test]
fn more_volume_lowers_ratio() {
let mut o = OiToVolumeRatio::new();
let held = o.update(tick(5_000.0, 100.0, 100.0)).unwrap();
let churned = o.update(tick(5_000.0, 1_000.0, 1_000.0)).unwrap();
assert!(churned < held);
}
#[test]
fn zero_volume_is_zero() {
let mut o = OiToVolumeRatio::new();
assert_relative_eq!(
o.update(tick(5_000.0, 0.0, 0.0)).unwrap(),
0.0,
epsilon = 1e-12
);
}
#[test]
fn ready_after_first_update() {
let mut o = OiToVolumeRatio::new();
assert!(!o.is_ready());
o.update(tick(5_000.0, 100.0, 100.0));
assert!(o.is_ready());
}
#[test]
fn reset_clears_state() {
let mut o = OiToVolumeRatio::new();
o.update(tick(5_000.0, 100.0, 100.0));
assert!(o.is_ready());
o.reset();
assert!(!o.is_ready());
}
#[test]
fn batch_equals_streaming() {
let ticks: Vec<DerivativesTick> = (0..40)
.map(|i| tick(5_000.0, 100.0 + f64::from(i), 100.0))
.collect();
let batch = OiToVolumeRatio::new().batch(&ticks);
let mut b = OiToVolumeRatio::new();
let streamed: Vec<_> = ticks.iter().map(|x| b.update(*x)).collect();
assert_eq!(batch, streamed);
}
}
@@ -0,0 +1,221 @@
//! Open-Interest Momentum — the rate of change of open interest over a lookback.
use std::collections::VecDeque;
use crate::derivatives::DerivativesTick;
use crate::error::{Error, Result};
use crate::traits::Indicator;
/// Open-Interest Momentum — the percentage rate of change of open interest over a
/// `period`-tick lookback.
///
/// ```text
/// OIM = 100 · (OI_t OI_{tperiod}) / OI_{tperiod}
/// ```
///
/// Where [`OIDelta`](crate::OIDelta) reports the single-tick change in open
/// interest, OI Momentum measures the trend in positioning over a window: positive
/// values mean open interest is expanding (new money entering — a position build
/// that fuels the prevailing move), negative values mean it is contracting
/// (positions being closed — deleveraging or short-covering). Read alongside price:
/// rising OI with rising price is a strong new-long trend, while rising price with
/// falling OI is a short-covering rally on borrowed time.
///
/// The output is a percentage and may be negative. A zero base open interest
/// `period` ticks ago reports `0` rather than dividing by zero. The first value
/// lands after `period + 1` inputs. Each `update` is O(1).
///
/// # Example
///
/// ```
/// use wickra_core::{DerivativesTick, Indicator, OpenInterestMomentum};
///
/// let mut indicator = OpenInterestMomentum::new(5).unwrap();
/// let mut last = None;
/// for i in 0..20 {
/// let oi = 1_000.0 + f64::from(i) * 100.0;
/// let tick = DerivativesTick::new(0.0, 100.0, 100.0, 100.0, oi, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0).unwrap();
/// last = indicator.update(tick);
/// }
/// assert!(last.unwrap() > 0.0); // expanding OI
/// ```
#[derive(Debug, Clone)]
pub struct OpenInterestMomentum {
period: usize,
window: VecDeque<f64>,
last: Option<f64>,
}
impl OpenInterestMomentum {
/// Construct an OI Momentum over a `period`-tick lookback.
///
/// # Errors
///
/// Returns [`Error::PeriodZero`] if `period == 0`.
pub fn new(period: usize) -> Result<Self> {
if period == 0 {
return Err(Error::PeriodZero);
}
Ok(Self {
period,
window: VecDeque::with_capacity(period + 1),
last: None,
})
}
/// Configured lookback period.
pub const fn period(&self) -> usize {
self.period
}
/// Current value if available.
pub const fn value(&self) -> Option<f64> {
self.last
}
}
impl Indicator for OpenInterestMomentum {
type Input = DerivativesTick;
type Output = f64;
fn update(&mut self, tick: DerivativesTick) -> Option<f64> {
if self.window.len() == self.period + 1 {
self.window.pop_front();
}
self.window.push_back(tick.open_interest);
if self.window.len() < self.period + 1 {
return None;
}
let base = *self.window.front().expect("non-empty");
let current = tick.open_interest;
let oim = if base > 0.0 {
100.0 * (current - base) / base
} else {
0.0
};
self.last = Some(oim);
Some(oim)
}
fn reset(&mut self) {
self.window.clear();
self.last = None;
}
fn warmup_period(&self) -> usize {
self.period + 1
}
fn is_ready(&self) -> bool {
self.last.is_some()
}
fn name(&self) -> &'static str {
"OpenInterestMomentum"
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::traits::BatchExt;
use approx::assert_relative_eq;
fn tick(oi: f64) -> DerivativesTick {
DerivativesTick::new_unchecked(
0.0, 100.0, 100.0, 100.0, oi, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0,
)
}
#[test]
fn rejects_zero_period() {
assert!(matches!(
OpenInterestMomentum::new(0),
Err(Error::PeriodZero)
));
}
#[test]
fn accessors_and_metadata() {
let o = OpenInterestMomentum::new(5).unwrap();
assert_eq!(o.period(), 5);
assert_eq!(o.warmup_period(), 6);
assert_eq!(o.name(), "OpenInterestMomentum");
assert!(!o.is_ready());
assert_eq!(o.value(), None);
}
#[test]
fn first_emission_at_warmup_period() {
let mut o = OpenInterestMomentum::new(3).unwrap();
let ticks: Vec<DerivativesTick> = (0..6)
.map(|i| tick(1_000.0 + f64::from(i) * 100.0))
.collect();
let out = o.batch(&ticks);
for v in out.iter().take(3) {
assert!(v.is_none());
}
assert!(out[3].is_some());
}
#[test]
fn reference_value() {
// period 2: OI 1000 -> 1200 over the window -> +20%.
let mut o = OpenInterestMomentum::new(2).unwrap();
let out = o.batch(&[tick(1_000.0), tick(1_100.0), tick(1_200.0)]);
assert_relative_eq!(out[2].unwrap(), 20.0, epsilon = 1e-9);
}
#[test]
fn expanding_oi_is_positive() {
let mut o = OpenInterestMomentum::new(5).unwrap();
let ticks: Vec<DerivativesTick> = (0..20)
.map(|i| tick(1_000.0 + f64::from(i) * 100.0))
.collect();
let last = o.batch(&ticks).into_iter().flatten().last().unwrap();
assert!(last > 0.0);
}
#[test]
fn contracting_oi_is_negative() {
let mut o = OpenInterestMomentum::new(5).unwrap();
let ticks: Vec<DerivativesTick> = (0..20)
.map(|i| tick(3_000.0 - f64::from(i) * 100.0))
.collect();
let last = o.batch(&ticks).into_iter().flatten().last().unwrap();
assert!(last < 0.0);
}
#[test]
fn zero_base_is_zero() {
let mut o = OpenInterestMomentum::new(2).unwrap();
let out = o.batch(&[tick(0.0), tick(100.0), tick(200.0)]);
assert_relative_eq!(out[2].unwrap(), 0.0, epsilon = 1e-12);
}
#[test]
fn reset_clears_state() {
let mut o = OpenInterestMomentum::new(3).unwrap();
o.batch(
&(0..10)
.map(|i| tick(1_000.0 + f64::from(i) * 50.0))
.collect::<Vec<_>>(),
);
assert!(o.is_ready());
o.reset();
assert!(!o.is_ready());
assert_eq!(o.value(), None);
assert_eq!(o.update(tick(1_000.0)), None);
}
#[test]
fn batch_equals_streaming() {
let ticks: Vec<DerivativesTick> = (0..80)
.map(|i| tick(1_000.0 + (f64::from(i) * 0.25).sin() * 300.0))
.collect();
let batch = OpenInterestMomentum::new(10).unwrap().batch(&ticks);
let mut b = OpenInterestMomentum::new(10).unwrap();
let streamed: Vec<_> = ticks.iter().map(|x| b.update(*x)).collect();
assert_eq!(batch, streamed);
}
}
@@ -0,0 +1,139 @@
//! Perpetual Premium Index — the perp mark price relative to spot.
use crate::derivatives::DerivativesTick;
use crate::traits::Indicator;
/// Perpetual Premium Index — the perpetual's mark price relative to the spot index
/// it tracks, as a fraction.
///
/// ```text
/// premium = (mark_price index_price) / index_price
/// ```
///
/// A perpetual swap is pegged to spot by the funding mechanism, but it can still
/// trade at a premium (above spot) or discount (below). A positive premium signals
/// net long demand willing to pay up to hold the perp — bullish positioning, and
/// the proximate driver of positive funding; a negative premium signals the
/// reverse. Sustained extremes flag crowded positioning ripe for a funding-driven
/// mean reversion.
///
/// The output is centred on zero and dimensionless (a fraction; multiply by `100`
/// for percent). `index_price` is validated strictly positive on the tick, so the
/// division is always defined. It is stateless — each tick yields one value (no
/// warmup). Each `update` is O(1).
///
/// # Example
///
/// ```
/// use wickra_core::{DerivativesTick, Indicator, PerpetualPremiumIndex};
///
/// let mut indicator = PerpetualPremiumIndex::new();
/// // Mark 101 vs index 100 -> +1% premium.
/// let tick = DerivativesTick::new(0.0, 101.0, 100.0, 101.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0).unwrap();
/// let premium = indicator.update(tick).unwrap();
/// assert!((premium - 0.01).abs() < 1e-12);
/// ```
#[derive(Debug, Clone, Default)]
pub struct PerpetualPremiumIndex {
ready: bool,
}
impl PerpetualPremiumIndex {
/// Construct a new Perpetual Premium Index. The indicator is parameter-free.
#[must_use]
pub const fn new() -> Self {
Self { ready: false }
}
}
impl Indicator for PerpetualPremiumIndex {
type Input = DerivativesTick;
type Output = f64;
fn update(&mut self, tick: DerivativesTick) -> Option<f64> {
let premium = (tick.mark_price - tick.index_price) / tick.index_price;
self.ready = true;
Some(premium)
}
fn reset(&mut self) {
self.ready = false;
}
fn warmup_period(&self) -> usize {
1
}
fn is_ready(&self) -> bool {
self.ready
}
fn name(&self) -> &'static str {
"PerpetualPremiumIndex"
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::traits::BatchExt;
use approx::assert_relative_eq;
fn tick(mark: f64, index: f64) -> DerivativesTick {
DerivativesTick::new_unchecked(0.0, mark, index, mark, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0)
}
#[test]
fn accessors_and_metadata() {
let p = PerpetualPremiumIndex::new();
assert_eq!(p.warmup_period(), 1);
assert_eq!(p.name(), "PerpetualPremiumIndex");
assert!(!p.is_ready());
}
#[test]
fn premium_reference_value() {
let mut p = PerpetualPremiumIndex::new();
assert_relative_eq!(p.update(tick(101.0, 100.0)).unwrap(), 0.01, epsilon = 1e-12);
}
#[test]
fn discount_is_negative() {
let mut p = PerpetualPremiumIndex::new();
assert!(p.update(tick(99.0, 100.0)).unwrap() < 0.0);
}
#[test]
fn at_par_is_zero() {
let mut p = PerpetualPremiumIndex::new();
assert_relative_eq!(p.update(tick(100.0, 100.0)).unwrap(), 0.0, epsilon = 1e-12);
}
#[test]
fn ready_after_first_update() {
let mut p = PerpetualPremiumIndex::new();
assert!(!p.is_ready());
p.update(tick(100.0, 100.0));
assert!(p.is_ready());
}
#[test]
fn reset_clears_state() {
let mut p = PerpetualPremiumIndex::new();
p.update(tick(101.0, 100.0));
assert!(p.is_ready());
p.reset();
assert!(!p.is_ready());
}
#[test]
fn batch_equals_streaming() {
let ticks: Vec<DerivativesTick> = (0..40)
.map(|i| tick(100.0 + (f64::from(i) * 0.3).sin(), 100.0))
.collect();
let batch = PerpetualPremiumIndex::new().batch(&ticks);
let mut b = PerpetualPremiumIndex::new();
let streamed: Vec<_> = ticks.iter().map(|x| b.update(*x)).collect();
assert_eq!(batch, streamed);
}
}