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