feat: add DeMark deepening (B12, 7 indicators) (#204)

B12 of the family-deepening roadmap — seven Tom DeMark indicators (467 -> 474).

**Candle -> +1/0 qualifier patterns (candlestick macro bindings):**
- **TD Camouflage** — hidden intrabar strength/weakness against the prior close.
- **TD Clop** — two-bar open/close engulfing reversal.
- **TD Clopwin** — the inside-body cousin of TD Clop (compression bar).
- **TD Propulsion** — continuation thrust closing beyond the prior extreme.
- **TD Trap** — inside ("trap") bar followed by a range breakout.

**Hand-bound:**
- **TD D-Wave** — streaming Elliott-style 1-5 / A-C swing-wave counter (candle -> f64, `strength` param).
- **TD Moving Averages** — ST1/ST2 median-price trend ribbon (candle -> struct {st1, st2}).

All seven join the existing **DeMark** family. Patterns follow the house-style
+1/0 candle-pattern convention (neutral 0.0 during warmup). Public binding names
use the family-consistent `TD...` casing.

Wiring complete across core, Python, Node, WASM, fuzz, tests, README + docs
counter (474) and CHANGELOG. Verified: core 3874 + doc 427, clippy clean,
node 549, python 903.

bindings/node/__tests__/indicators.test.js

@@ -378,6 +378,12 @@ const candleScalar = {
   BetterVolume: { make: () => new wickra.BetterVolume(14), step: (ind, i) => ind.update(high[i], low[i], close[i], volume[i]), batch: (ind) => ind.batch(high, low, close, volume) },
   ADAPTIVECCI: { make: () => new wickra.ADAPTIVECCI(20), step: (ind, i) => ind.update(high[i], low[i], close[i]), batch: (ind) => ind.batch(high, low, close) },
   PivotReversal: { make: () => new wickra.PivotReversal(1, 1), step: (ind, i) => ind.update(high[i], low[i], close[i]), batch: (ind) => ind.batch(high, low, close) },
+  TDCamouflage: { make: () => new wickra.TDCamouflage(), step: (ind, i) => ind.update(open[i], high[i], low[i], close[i]), batch: (ind) => ind.batch(open, high, low, close) },
+  TDClop: { make: () => new wickra.TDClop(), step: (ind, i) => ind.update(open[i], high[i], low[i], close[i]), batch: (ind) => ind.batch(open, high, low, close) },
+  TDClopwin: { make: () => new wickra.TDClopwin(), step: (ind, i) => ind.update(open[i], high[i], low[i], close[i]), batch: (ind) => ind.batch(open, high, low, close) },
+  TDPropulsion: { make: () => new wickra.TDPropulsion(), step: (ind, i) => ind.update(open[i], high[i], low[i], close[i]), batch: (ind) => ind.batch(open, high, low, close) },
+  TDTrap: { make: () => new wickra.TDTrap(), step: (ind, i) => ind.update(open[i], high[i], low[i], close[i]), batch: (ind) => ind.batch(open, high, low, close) },
+  TDDWave: { make: () => new wickra.TDDWave(2), step: (ind, i) => ind.update(high[i], low[i], close[i]), batch: (ind) => ind.batch(high, low, close) },
 };
 
 for (const [name, d] of Object.entries(candleScalar)) {
@@ -479,6 +485,7 @@ const multi = {
   MurreyMathLines: { make: () => new wickra.MurreyMathLines(4), fields: ['mm8_8', 'mm7_8', 'mm6_8', 'mm5_8', 'mm4_8', 'mm3_8', 'mm2_8', 'mm1_8', 'mm0_8'], step: (ind, i) => ind.update(high[i], low[i]), batch: (ind) => ind.batch(high, low) },
   AndrewsPitchfork: { make: () => new wickra.AndrewsPitchfork(2), fields: ['median', 'upper', 'lower'], step: (ind, i) => ind.update(high[i], low[i]), batch: (ind) => ind.batch(high, low) },
   VolumeWeightedSr: { make: () => new wickra.VolumeWeightedSr(3), fields: ['support', 'resistance'], step: (ind, i) => ind.update(high[i], low[i], volume[i]), batch: (ind) => ind.batch(high, low, volume) },
+  TDMovingAverage: { make: () => new wickra.TDMovingAverage(5, 13), fields: ['st1', 'st2'], step: (ind, i) => ind.update(high[i], low[i]), batch: (ind) => ind.batch(high, low) },
 };
 
 for (const [name, d] of Object.entries(multi)) {