feat(indicators): B3 Trend & Directional batch (413 -> 420) (#181)

Adds the **B3 — Trend & Directional** batch: seven new indicators, taking the
catalog from 413 to 420 (Trend & Directional family).

| Indicator | Input → Output | Summary |
|-----------|----------------|---------|
| `Qstick` | candle → f64 | Chande's SMA of the candle body (close − open) |
| `TtmTrend` | candle → f64 (±1) | John Carter close-vs-median-SMA trend filter |
| `TrendStrengthIndex` | f64 → f64 | signed r² of an OLS regression of price vs time |
| `PolarizedFractalEfficiency` | f64 → f64 | Hannula directional trend efficiency |
| `WavePm` | f64 → f64 | Kase variance-normalised peak-momentum statistic (reconstruction) |
| `GatorOscillator` | candle → struct | Bill Williams Alligator convergence/divergence histogram |
| `KasePermissionStochastic` | candle → struct | double-smoothed stochastic permission filter |

Note: the roadmap's "Directional Indicator +DI/−DI" item is already covered by
the existing standalone `PlusDi` / `MinusDi` / `Dx`, so it is intentionally not
re-added.

All touchpoints wired: core (every-branch unit tests), Python/Node/WASM
bindings, fuzz drivers, Python test registries + reference tests, Node
factories, README/CHANGELOG counters.

Local verify: `cargo test -p wickra-core` (lib 3389 + doc 378), `cargo clippy
--workspace --all-targets --all-features -- -D warnings`, node build + 495
tests, maturin + 815 pytest, counter 420 == 420.

fuzz/fuzz_targets/indicator_update.rs

@@ -14,7 +14,7 @@
 //! `Ema(20)`. This target now covers every scalar indicator in the catalogue.
 
 use libfuzzer_sys::fuzz_target;
-use wickra_core::{AdaptiveCycle, AdaptiveLaguerreFilter, Alma, AnchoredRsi, Apo, Autocorrelation, AverageDrawdown, BatchExt, Beta, BollingerBands, CalmarRatio, CenterOfGravity, Cfo, Cmo, CoefficientOfVariation, ConditionalValueAtRisk, ConnorsRsi, Coppock, CyberneticCycle, Decycler, DecyclerOscillator, Dema, DerivativeOscillator, DetrendedStdDev, DisparityIndex, DoubleBollinger, Dpo, DrawdownDuration, DynamicMomentumIndex, EhlersStochastic, Ehma, ElderImpulse, Ema, EmpiricalModeDecomposition, Expectancy, Fama, FisherRsi, FisherTransform, Frama, GainLossRatio, GeneralizedDema, GeometricMa, HilbertDominantCycle, HistoricalVolatility, Hma, HoltWinters, HtDcPhase, HtPhasor, HtTrendMode, HurstExponent, Indicator, InstantaneousTrendline, InverseFisherTransform, Jma, JumpIndicator, Kama, KellyCriterion, Kst, Kurtosis, LaguerreRsi, LinRegAngle, LinRegChannel, LinRegIntercept, LinRegSlope, LinearRegression, LogReturn, MaEnvelope, MaType, MacdExt, MacdFix, MacdIndicator, Mama, MaxDrawdown, McGinleyDynamic, MedianAbsoluteDeviation, MedianMa, MidPoint, Mom, OmegaRatio, PainIndex, PearsonCorrelation, PercentageTrailingStop, Pmo, Ppo, ProfitFactor, Qqe, RSquared, RealizedVolatility, RecoveryFactor, RegimeLabel, RenkoTrailingStop, Rmi, Roc, Rocp, Rocr, Rocr100, RollingIqr, RollingPercentileRank, RollingQuantile, RoofingFilter, Rsi, Rsx, RviVolatility, SharpeRatio, SineWave, SineWeightedMa, Skewness, Sma, Smma, SortinoRatio, SpearmanCorrelation, StandardError, StandardErrorBands, Stc, StdDev, StepTrailingStop, StochRsi, SuperSmoother, Tema, Tii, TrendLabel, Trima, Trix, Tsf, Tsi, UlcerIndex, ValueAtRisk, Variance, VerticalHorizontalFilter, Vidya, WinRate, Wma, ZScore, ZeroLagMacd, Zlema, T3};
+use wickra_core::{AdaptiveCycle, AdaptiveLaguerreFilter, Alma, AnchoredRsi, Apo, Autocorrelation, AverageDrawdown, BatchExt, Beta, BollingerBands, CalmarRatio, CenterOfGravity, Cfo, Cmo, CoefficientOfVariation, ConditionalValueAtRisk, ConnorsRsi, Coppock, CyberneticCycle, Decycler, DecyclerOscillator, Dema, DerivativeOscillator, DetrendedStdDev, DisparityIndex, DoubleBollinger, Dpo, DrawdownDuration, DynamicMomentumIndex, EhlersStochastic, Ehma, ElderImpulse, Ema, EmpiricalModeDecomposition, Expectancy, Fama, FisherRsi, FisherTransform, Frama, GainLossRatio, GeneralizedDema, GeometricMa, HilbertDominantCycle, HistoricalVolatility, Hma, HoltWinters, HtDcPhase, HtPhasor, HtTrendMode, HurstExponent, Indicator, InstantaneousTrendline, InverseFisherTransform, Jma, JumpIndicator, Kama, KellyCriterion, Kst, Kurtosis, LaguerreRsi, LinRegAngle, LinRegChannel, LinRegIntercept, LinRegSlope, LinearRegression, LogReturn, MaEnvelope, MaType, MacdExt, MacdFix, MacdIndicator, Mama, MaxDrawdown, McGinleyDynamic, MedianAbsoluteDeviation, MedianMa, MidPoint, Mom, OmegaRatio, PainIndex, PearsonCorrelation, PercentageTrailingStop, Pmo, PolarizedFractalEfficiency, Ppo, ProfitFactor, Qqe, RSquared, RealizedVolatility, RecoveryFactor, RegimeLabel, RenkoTrailingStop, Rmi, Roc, Rocp, Rocr, Rocr100, RollingIqr, RollingPercentileRank, RollingQuantile, RoofingFilter, Rsi, Rsx, RviVolatility, SharpeRatio, SineWave, SineWeightedMa, Skewness, Sma, Smma, SortinoRatio, SpearmanCorrelation, StandardError, StandardErrorBands, Stc, StdDev, StepTrailingStop, StochRsi, SuperSmoother, Tema, Tii, TrendLabel, TrendStrengthIndex, Trima, Trix, Tsf, Tsi, UlcerIndex, ValueAtRisk, Variance, VerticalHorizontalFilter, Vidya, WavePm, WinRate, Wma, ZScore, ZeroLagMacd, Zlema, T3};
 
 /// Drive a single streaming + batch run through one scalar indicator. Marked
 /// `#[inline(never)]` so a panic backtrace pin-points the specific indicator.
@@ -73,6 +73,9 @@ fuzz_target!(|data: Vec<f64>| {
     drive(|| DynamicMomentumIndex::new(14).unwrap(), &data);
     drive(|| Rmi::new(14, 5).unwrap(), &data);
     drive(|| DerivativeOscillator::new(14, 5, 3, 9).unwrap(), &data);
+    drive(|| TrendStrengthIndex::new(20).unwrap(), &data);
+    drive(|| PolarizedFractalEfficiency::new(10, 5).unwrap(), &data);
+    drive(|| WavePm::new(32, 3).unwrap(), &data);
     drive(|| Tsi::new(25, 13).unwrap(), &data);
     drive(|| Pmo::new(35, 20).unwrap(), &data);
     drive(|| Tii::new(60, 30).unwrap(), &data);