Add B9 Price Statistics deepening (5 indicators) (#197)

Deepens the **Price Statistics** family (B9) with five rolling-statistics indicators (447 -> 452):

- **ShannonEntropy** — Shannon entropy of a binned rolling value distribution.
- **SampleEntropy** — Richman-Moorman sample entropy (regularity/complexity of a window).
- **KendallTau** — Kendall rank correlation (tau-b) over paired observations (pairwise; distinct from Pearson/Spearman).
- **JarqueBera** — Jarque-Bera normality test statistic over a rolling window.
- **RollingMinMaxScaler** — maps the latest value to 0..1 over a rolling window.

All scalar f64 input except KendallTau (pairwise). Multi-arg scalars (Shannon/Sample entropy) use hand-written Python/Node bindings + the variadic wasm macro; KendallTau uses the pair macros. Verified locally: 3668 core lib + 410 doc tests, clippy clean, 527 node tests, 871 pytest, counter 452.

bindings/node/index.d.ts

@@ -1052,6 +1052,42 @@ export declare class BipowerVariation {
   isReady(): boolean
   warmupPeriod(): number
 }
+export type JarqueBeraNode = JARQUEBERA
+export declare class JARQUEBERA {
+  constructor(period: number)
+  update(value: number): number | null
+  batch(prices: Array<number>): Array<number>
+  reset(): void
+  isReady(): boolean
+  warmupPeriod(): number
+}
+export type RollingMinMaxScalerNode = ROLLINGMINMAX
+export declare class ROLLINGMINMAX {
+  constructor(period: number)
+  update(value: number): number | null
+  batch(prices: Array<number>): Array<number>
+  reset(): void
+  isReady(): boolean
+  warmupPeriod(): number
+}
+export type ShannonEntropyNode = SHANNONENT
+export declare class SHANNONENT {
+  constructor(period: number, bins: number)
+  update(value: number): number | null
+  batch(prices: Array<number>): Array<number>
+  reset(): void
+  isReady(): boolean
+  warmupPeriod(): number
+}
+export type SampleEntropyNode = SAMPLEENT
+export declare class SAMPLEENT {
+  constructor(period: number, m: number, rFactor: number)
+  update(value: number): number | null
+  batch(prices: Array<number>): Array<number>
+  reset(): void
+  isReady(): boolean
+  warmupPeriod(): number
+}
 export type EwmaVolatilityNode = EwmaVolatility
 export declare class EwmaVolatility {
   constructor(lambda: number)
@@ -1263,6 +1299,19 @@ export declare class DistanceSsd {
   isReady(): boolean
   warmupPeriod(): number
 }
+export type KendallTauNode = KendallTau
+export declare class KendallTau {
+  constructor(period: number)
+  update(x: number, y: number): number | null
+  /**
+   * Batch over two equally-sized arrays. Returns a length-`n` array
+   * with `NaN` for warmup positions.
+   */
+  batch(x: Array<number>, y: Array<number>): Array<number>
+  reset(): void
+  isReady(): boolean
+  warmupPeriod(): number
+}
 export type BetaNeutralSpreadNode = BetaNeutralSpread
 export declare class BetaNeutralSpread {
   constructor(period: number)