feat(frama): add Fractal Adaptive Moving Average

Ehlers' FRAMA adapts its smoothing constant to the fractal dimension of
the recent window: tight tracking in trends, heavy smoothing in chop.
Uses the close-only variant where max/min over each window half drive
the dimension estimate. Period must be even (default 16).

Reference: Ehlers, Fractal Adaptive Moving Average, 2005.

Touchpoints:
- crates/wickra-core: frama.rs + mod.rs + lib.rs re-export
- bindings/python: PyFrama + __init__.py + test_new_indicators +
  test_known_values reference (constant series + uptrend tracking)
- bindings/node: FramaNode (scalar macro) + index.d.ts/index.js +
  indicators.test.js factory + reference value
- bindings/wasm: wasm_scalar_indicator! macro
- fuzz: indicator_update target covers Frama(16)
- crates/wickra/benches: bench_scalar entry
- README + CHANGELOG: Moving Averages row + Unreleased entry

bindings/python/python/wickra/__init__.py

@@ -40,6 +40,7 @@ from ._wickra import (
     VWMA,
     ALMA,
     McGinleyDynamic,
+    FRAMA,
     # Momentum
     RSI,
     MACD,
@@ -123,6 +124,7 @@ __all__ = [
     "VWMA",
     "ALMA",
     "McGinleyDynamic",
+    "FRAMA",
     # Momentum
     "RSI",
     "MACD",

bindings/python/tests/test_known_values.py

@@ -105,6 +105,20 @@ def test_mcginley_dynamic_reference_value():
     assert math.isclose(out[3], expected, abs_tol=1e-12)
 
 
+def test_frama_constant_series_yields_the_constant():
+    # Flat input -> degenerate ranges -> alpha clamps to 0.01 and the EMA
+    # recurrence holds the seed value.
+    out = ta.FRAMA(4).batch(np.full(20, 42.0, dtype=np.float64))
+    assert np.all(np.isnan(out[:3]))
+    np.testing.assert_allclose(out[3:], 42.0, atol=1e-12)
+
+
+def test_frama_pure_uptrend_hugs_latest():
+    # Monotonic uptrend -> alpha pushed toward 1.0, FRAMA tracks close.
+    out = ta.FRAMA(4).batch(np.arange(1.0, 9.0, dtype=np.float64))
+    assert math.isclose(out[-1], 8.0, abs_tol=0.05)
+
+
 def test_macd_constant_series_converges_to_zero():
     out = ta.MACD().batch(np.full(200, 100.0))
     # Last row's MACD and signal must be ~0.

bindings/python/tests/test_new_indicators.py

@@ -46,6 +46,7 @@ SCALAR = [
     (ta.ZLEMA, (14,)),
     (ta.ALMA, (9, 0.85, 6.0)),
     (ta.McGinleyDynamic, (10,)),
+    (ta.FRAMA, (16,)),
     (ta.T3, (5, 0.7)),
     (ta.MOM, (10,)),
     (ta.CMO, (14,)),