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wickra/fuzz/fuzz_targets/indicator_update_candle.rs
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kingchencandGitHub 880a0e7430 feat: Family 07 Volume - 6 new volume-flow indicators (#45)
* feat(kvo): add Klinger Volume Oscillator

Stephen J. Klinger's trend-aware volume-force MACD. Each bar produces a 'volume force' (vf) signed by the local trend (+1 / -1 / carry) and scaled by the ratio of the current accumulation horizon to its previous trend. KVO = EMA(vf, fast) - EMA(vf, slow), classic (34, 55).

Rust core (Kvo) with 7 unit tests (rejects zero / fast>=slow, accessors, constant series collapses to 0, warmup lands at slow+1, batch == streaming, reset clears state), plus Python (PyKvo + KVO export), Node (KvoNode), and WASM (WasmKvo) bindings. Fuzz target adds Kvo to the candle-input sweep, bench adds the candle-input KVO benchmark, README counter 71 -> 72 + family table row, CHANGELOG [Unreleased].

* feat(volume-oscillator): add Volume Oscillator (VO)

Percent difference between a fast and a slow SMA of the bar volume: 100 * (SMA(vol, fast) - SMA(vol, slow)) / SMA(vol, slow). Default (14, 28). The line stays near zero in stable conditions; positive readings show rising short-term participation, negative readings show waning interest.

Rust core (VolumeOscillator) with 8 unit tests (period validation, accessors, constant volume == 0, zero-volume window defensive branch, two reference values verified algebraically, batch == streaming, reset), plus Python (PyVolumeOscillator + VolumeOscillator export), Node (VolumeOscillatorNode), and WASM (WasmVolumeOscillator) bindings. Fuzz target adds VolumeOscillator to the candle-input sweep, bench adds the volume_oscillator benchmark, README counter 72 -> 73 + family table row, CHANGELOG [Unreleased].

* feat(nvi-pvi): add Negative & Positive Volume Index

Paul Dysart's cumulative volume-flow indices, popularised by Norman Fosback in 'Stock Market Logic'. Both run from a 1000.0 baseline and only update on a specific direction of volume change:

- NVI updates on volume-contraction bars (volume_t < volume_{t-1}), absorbing the percent close change. Tracks the 'smart money' leg per Fosback.
- PVI updates on volume-expansion bars (volume_t > volume_{t-1}). Tracks the 'crowd' leg.

Both expose with_baseline(f64) for custom starting indexes. The NVI/PVI pair is listed as a single line in indicator-ideas/families/07-volume.md and shares the same lifecycle/test/binding surface, so they ship as one commit.

Rust core (Nvi, Pvi) with 9 unit tests each (accessors, baseline seed, volume direction branches, zero-prev-close guard, custom baseline, batch == streaming, reset), plus Python (PyNvi/PyPvi + NVI/PVI exports), Node (NviNode/PviNode), and WASM (WasmNvi/WasmPvi) bindings. Fuzz target adds Nvi+Pvi to the candle-input sweep, bench adds nvi+pvi entries, README counter 73 -> 75 + family table row, CHANGELOG [Unreleased].

* feat(family-07): add Williams A/D, Anchored VWAP, Demand Index, TSV, VZO, Market Facilitation Index

Finishes the volume-flow family with the remaining (new) entries from
indicator-ideas/families/07-volume.md.

Indicators added:

- Williams A/D (`WilliamsAD`): Larry Williams' volume-less cumulative
  accumulation/distribution line. Anchors each bar's contribution to
  the previous close via true-high/true-low (gap-aware).
- Anchored VWAP (`AnchoredVwap`): cumulative VWAP whose accumulation
  starts at a user-chosen anchor bar. Exposes `set_anchor()` (queued
  to the next `update`) for click-to-anchor workflows. Reset clears
  both state and pending-anchor flag.
- Demand Index (`DemandIndex`): James Sibbet's smoothed buying-vs-
  selling pressure, in the streaming-friendly textbook form
  `EMA(volume * close-return * (1 + range/close), period)`.
- Time Segmented Volume (`Tsv`): Don Worden's rolling window-sum of
  `(close_t - close_{t-1}) * volume_t`. Default `period = 18`.
- Volume Zone Oscillator (`Vzo`): Walid Khalil's normalised volume-flow
  oscillator bounded in `[-100, +100]`, defined as
  `100 * EMA(signed_volume) / EMA(volume)`.
- Market Facilitation Index (`MarketFacilitationIndex`): Bill Williams'
  per-bar `(high - low) / volume`. Returns `None` on zero-volume bars.

All six indicators ship with unit tests (`rejects_zero_period` where
applicable, `accessors_and_metadata`, constant-series behaviour,
batch == streaming equivalence, reset semantics, and reference-value
or saturation-extreme tests), Python / Node / WASM bindings, fuzz
coverage in `indicator_update_candle`, a `bench_candle_input` line per
indicator, README + CHANGELOG entries, and Python reference-value
tests in `test_new_indicators.py`.

The README indicator counter advances 75 -> 81.

* test(family-07): cover defensive cold paths + Default impls

- ad_oscillator: exercise `value()` after first emission.
- kvo: cover the `cm == 0.0` zero-OHLC defensive branch.
- nvi / pvi: exercise the Default impls.
2026-05-25 19:15:22 +02:00

214 lines
8.8 KiB
Rust

#![no_main]
//! Fuzz OHLCV-input indicator updates with arbitrary candle sequences.
//!
//! Every candle-input indicator must tolerate any sequence of validated OHLCV
//! candles — extreme magnitudes, micro-spreads, zero-volume bars, abrupt
//! reversals — without panicking. The fuzzer chunks the raw `f64` stream into
//! `[open, high, low, close, volume]` tuples and constructs each candle via
//! `Candle::new`; entries that fail OHLCV-invariant validation are skipped so
//! the indicator only ever sees structurally-valid candles. Each iteration
//! then drives that candle stream through every candle-input indicator twice
//! (streaming `update` + batch).
//!
//! Audit finding R9: the previous fuzz suite had no candle-input coverage at
//! all. This target now covers every candle-input indicator including the
//! ones the audit named explicitly (ATR, ADX, Stochastic, PSAR) plus the
//! complete catalogue: Keltner, Donchian, SuperTrend, Chandelier Exit, ATR
//! Trailing Stop, Aroon, AwesomeOscillator, CCI, WilliamsR, MFI, OBV, VWAP,
//! RollingVWAP, ADL, VPT, ChaikinMoneyFlow, ChaikinOscillator, ForceIndex,
//! EaseOfMovement, NATR, AroonOscillator, ChandeKrollStop, Vortex, MassIndex,
//! ChoppinessIndex, TrueRange, ChaikinVolatility, AcceleratorOscillator,
//! BalanceOfPower, UltimateOscillator, VWMA, TypicalPrice, MedianPrice,
//! WeightedClose.
use libfuzzer_sys::fuzz_target;
use wickra_core::{
AccelerationBands, AcceleratorOscillator, AdOscillator, Adl, Adx, Adxr, Alligator,
AnchoredVwap, Aroon, AroonOscillator, Atr, AtrBands, AtrTrailingStop, AwesomeOscillator,
AwesomeOscillatorHistogram, BalanceOfPower, BatchExt, Candle, Cci, ChaikinMoneyFlow,
ChaikinOscillator, ChaikinVolatility, ChandeKrollStop, ChandelierExit, ChoppinessIndex,
DemandIndex, Donchian, EaseOfMovement, Evwma, ForceIndex, FractalChaosBands,
GarmanKlassVolatility, HurstChannel, Indicator, Inertia, Keltner, Kvo, MarketFacilitationIndex,
MassIndex, MedianPrice, Mfi, Natr, Nvi, Obv, ParkinsonVolatility, Pgo, Psar, Pvi,
RogersSatchellVolatility, RollingVwap, Rvi, Rwi, Smi, StarcBands, Stochastic, SuperTrend,
TrueRange, Tsv, TtmSqueeze, TypicalPrice, UltimateOscillator, VolumeOscillator,
VolumePriceTrend, Vortex, Vwap, VwapStdDevBands, Vwma, Vzo, WaveTrend, WeightedClose, WilliamsR,
YangZhangVolatility,
};
/// Convert a flat `f64` stream into a `Vec<Candle>` by chunking it into
/// `[open, high, low, close, volume]` groups. Tuples that fail OHLCV
/// validation are dropped so the indicator under test only ever sees a
/// structurally-valid candle stream (the *parser* is fuzz-tested elsewhere;
/// this target focuses on indicator robustness).
fn candles_from(data: &[f64]) -> Vec<Candle> {
data.chunks_exact(5)
.enumerate()
.filter_map(|(i, ch)| {
// A monotonic timestamp avoids surprising any indicator that might
// care about ordering. The fuzz input drives OHLCV; time is just a
// tie-breaker.
Candle::new(ch[0], ch[1], ch[2], ch[3], ch[4], i as i64).ok()
})
.collect()
}
/// Streaming + batch sweep through one candle-input indicator. `#[inline(never)]`
/// keeps each indicator on its own frame in any panic backtrace.
#[inline(never)]
fn drive<I, O>(make: impl Fn() -> I, candles: &[Candle])
where
I: Indicator<Input = Candle, Output = O> + BatchExt,
{
let mut streaming = make();
for c in candles {
let _ = streaming.update(*c);
}
let _ = make().batch(candles);
}
fuzz_target!(|data: Vec<f64>| {
let candles = candles_from(&data);
if candles.is_empty() {
return;
}
// --- Volatility & ATR family ---
drive(|| Atr::new(14).unwrap(), &candles);
drive(|| Natr::new(14).unwrap(), &candles);
drive(TrueRange::new, &candles);
drive(|| ChaikinVolatility::new(10, 10).unwrap(), &candles);
drive(|| ParkinsonVolatility::new(20, 252).unwrap(), &candles);
drive(|| GarmanKlassVolatility::new(20, 252).unwrap(), &candles);
drive(|| RogersSatchellVolatility::new(20, 252).unwrap(), &candles);
drive(|| YangZhangVolatility::new(20, 252).unwrap(), &candles);
// --- Bands & Channels ---
drive(|| Keltner::new(20, 10, 2.0).unwrap(), &candles);
drive(|| Donchian::new(20).unwrap(), &candles);
// --- Trailing Stops ---
drive(|| Psar::new(0.02, 0.02, 0.20).unwrap(), &candles);
drive(|| SuperTrend::new(14, 3.0).unwrap(), &candles);
drive(|| ChandelierExit::new(22, 3.0).unwrap(), &candles);
drive(|| ChandeKrollStop::new(10, 1.0, 9).unwrap(), &candles);
drive(|| AtrTrailingStop::new(14, 3.0).unwrap(), &candles);
// --- Trend & Directional ---
drive(|| Adx::new(14).unwrap(), &candles);
drive(|| Adxr::new(14).unwrap(), &candles);
drive(|| Aroon::new(14).unwrap(), &candles);
drive(|| Alligator::new(13, 8, 5).unwrap(), &candles);
drive(|| AroonOscillator::new(14).unwrap(), &candles);
drive(|| Vortex::new(14).unwrap(), &candles);
drive(|| Rwi::new(14).unwrap(), &candles);
drive(|| WaveTrend::classic().unwrap(), &candles);
drive(|| MassIndex::new(9, 25).unwrap(), &candles);
drive(|| ChoppinessIndex::new(14).unwrap(), &candles);
// --- Momentum & Oscillators ---
drive(|| Cci::new(20).unwrap(), &candles);
drive(|| Rvi::new(10).unwrap(), &candles);
drive(|| Inertia::new(14, 20).unwrap(), &candles);
drive(|| Pgo::new(14).unwrap(), &candles);
drive(|| Smi::classic(), &candles);
drive(|| WilliamsR::new(14).unwrap(), &candles);
drive(|| AwesomeOscillator::new(5, 34).unwrap(), &candles);
drive(
|| AwesomeOscillatorHistogram::new(5, 34, 5).unwrap(),
&candles,
);
drive(|| AcceleratorOscillator::new(5, 34, 5).unwrap(), &candles);
drive(|| UltimateOscillator::new(7, 14, 28).unwrap(), &candles);
drive(BalanceOfPower::new, &candles);
// --- Volume ---
drive(Obv::new, &candles);
drive(|| Mfi::new(14).unwrap(), &candles);
drive(Vwap::new, &candles);
drive(|| RollingVwap::new(20).unwrap(), &candles);
drive(|| Vwma::new(20).unwrap(), &candles);
drive(|| Evwma::new(20).unwrap(), &candles);
drive(Adl::new, &candles);
drive(VolumePriceTrend::new, &candles);
drive(|| ChaikinMoneyFlow::new(20).unwrap(), &candles);
drive(|| ChaikinOscillator::new(3, 10).unwrap(), &candles);
drive(|| ForceIndex::new(13).unwrap(), &candles);
drive(|| EaseOfMovement::with_divisor(14, 1e8).unwrap(), &candles);
drive(|| Kvo::new(34, 55).unwrap(), &candles);
drive(|| VolumeOscillator::new(14, 28).unwrap(), &candles);
drive(Nvi::new, &candles);
drive(Pvi::new, &candles);
drive(AdOscillator::new, &candles);
drive(AnchoredVwap::new, &candles);
drive(|| DemandIndex::new(10).unwrap(), &candles);
drive(|| Tsv::new(18).unwrap(), &candles);
drive(|| Vzo::new(14).unwrap(), &candles);
drive(MarketFacilitationIndex::new, &candles);
// --- Price transformations ---
drive(TypicalPrice::new, &candles);
drive(MedianPrice::new, &candles);
drive(WeightedClose::new, &candles);
// --- Stochastic (multi-output) ---
{
let mut s = Stochastic::new(14, 3).unwrap();
for c in &candles {
let _ = s.update(*c);
}
let _ = Stochastic::new(14, 3).unwrap().batch(&candles);
}
// --- Family 05: candle-input band/channel indicators (multi-output) ---
{
let mut ab = AccelerationBands::new(20, 0.001).unwrap();
for c in &candles {
let _ = ab.update(*c);
}
let _ = AccelerationBands::new(20, 0.001).unwrap().batch(&candles);
}
{
let mut sb = StarcBands::new(6, 15, 2.0).unwrap();
for c in &candles {
let _ = sb.update(*c);
}
let _ = StarcBands::new(6, 15, 2.0).unwrap().batch(&candles);
}
{
let mut atrb = AtrBands::new(14, 3.0).unwrap();
for c in &candles {
let _ = atrb.update(*c);
}
let _ = AtrBands::new(14, 3.0).unwrap().batch(&candles);
}
{
let mut hc = HurstChannel::new(10, 0.5).unwrap();
for c in &candles {
let _ = hc.update(*c);
}
let _ = HurstChannel::new(10, 0.5).unwrap().batch(&candles);
}
{
let mut ts = TtmSqueeze::new(20, 2.0, 1.5).unwrap();
for c in &candles {
let _ = ts.update(*c);
}
let _ = TtmSqueeze::new(20, 2.0, 1.5).unwrap().batch(&candles);
}
{
let mut fc = FractalChaosBands::new(2).unwrap();
for c in &candles {
let _ = fc.update(*c);
}
let _ = FractalChaosBands::new(2).unwrap().batch(&candles);
}
{
let mut vb = VwapStdDevBands::new(2.0).unwrap();
for c in &candles {
let _ = vb.update(*c);
}
let _ = VwapStdDevBands::new(2.0).unwrap().batch(&candles);
}
});