release: cut v1.0.0

Prepare the first public 1.0.0 release and finish the remaining CI hardening work.

Highlights:
- align Python, Rust, WASM, Conda, API, MCP, and docs version metadata to 1.0.0
- promote package metadata to Production/Stable and update stability/versioning docs for the stable series
- move the accumulated Unreleased notes into a dated 1.0.0 changelog section and keep a fresh top-level Unreleased block
- strengthen the changelog checker so it validates a single top-level Unreleased section
- fix the CI/package support mismatch by declaring Python >=3.10 consistently and gating pandas-ta extras to Python 3.12+
- restore Sphinx autodoc compatibility for documented ferro_ta.<module> imports by registering module aliases
- make the TA-Lib benchmark guardrail less flaky by checking median and tail-percentile speedups instead of failing on a single mild outlier
- switch PyPI publishing to OIDC-only trusted publishing and wire the changelog check into the required CI gate
- apply the Ruff-driven cleanup across the Python and test tree and refresh uv/cargo lockfiles

Validated locally:
- python3 scripts/check_changelog.py
- uv run --with ruff ruff check python tests
- uv run --with ruff ruff format --check python tests
- uv lock --check
- sphinx-build -b html docs docs/_build -W --keep-going
- build/install the ferro_ta 1.0.0 wheel successfully

tests/unit/indicators/test_volume.py

@@ -1,6 +1,7 @@
 """Unit tests for ferro_ta.indicators.volume"""
+
 import numpy as np
-import pytest
+
 from ferro_ta.indicators.volume import AD, ADOSC, OBV
 
 # ---------------------------------------------------------------------------
@@ -24,6 +25,7 @@ SMALL_V = np.array([1000.0, 2000.0, 3000.0, 4000.0, 5000.0])
 # OBV
 # ---------------------------------------------------------------------------
 
+
 class TestOBV:
     def test_known_values_rising(self):
         # Rising close: OBV accumulates all volume
@@ -64,6 +66,7 @@ class TestOBV:
 # AD
 # ---------------------------------------------------------------------------
 
+
 class TestAD:
     def test_known_formula(self):
         # AD = cumsum(CLV * volume)
@@ -72,7 +75,7 @@ class TestAD:
         l = np.array([10.0])
         c = np.array([12.0])
         v = np.array([1000.0])
-        clv = ((12 - 10) - (15 - 12)) / (15 - 10)   # (2 - 3) / 5 = -0.2
+        clv = ((12 - 10) - (15 - 12)) / (15 - 10)  # (2 - 3) / 5 = -0.2
         expected = clv * 1000.0
         result = AD(h, l, c, v)
         np.testing.assert_allclose(result[0], expected, rtol=1e-10)
@@ -94,6 +97,7 @@ class TestAD:
 # ADOSC
 # ---------------------------------------------------------------------------
 
+
 class TestADOSC:
     def test_nan_warmup(self):
         result = ADOSC(_HIGH, _LOW, _CLOSE, _VOL, fastperiod=3, slowperiod=10)