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/integration/test_vs_ta.py

@@ -190,9 +190,7 @@ class TestSTOCHVsTA:
         close = ohlcv_500["close"]
 
         ft_slowk, ft_slowd = ferro_ta.STOCH(
-            high, low, close,
-            fastk_period=14, slowk_period=3,
-            slowd_period=3
+            high, low, close, fastk_period=14, slowk_period=3, slowd_period=3
         )
 
         # Values in valid region must be within [0, 100]
@@ -200,16 +198,21 @@ class TestSTOCHVsTA:
         valid_d = ft_slowd[np.isfinite(ft_slowd)]
         assert len(valid_k) > 0, "STOCH slowk should have valid values"
         assert len(valid_d) > 0, "STOCH slowd should have valid values"
-        assert np.all(valid_k >= 0.0) and np.all(valid_k <= 100.0), \
+        assert np.all(valid_k >= 0.0) and np.all(valid_k <= 100.0), (
             "STOCH slowk must be in [0, 100]"
-        assert np.all(valid_d >= 0.0) and np.all(valid_d <= 100.0), \
+        )
+        assert np.all(valid_d >= 0.0) and np.all(valid_d <= 100.0), (
             "STOCH slowd must be in [0, 100]"
+        )
 
         # Warm-up: TA-Lib STOCH NaN count = fastk_period + slowk_period - 1
-        expected_nan = 14 + 3 + 1 - 1  # = fastk_period + slowk_period (TA-Lib convention)
+        expected_nan = (
+            14 + 3 + 1 - 1
+        )  # = fastk_period + slowk_period (TA-Lib convention)
         actual_nan_k = int(np.sum(np.isnan(ft_slowk)))
-        assert actual_nan_k == expected_nan, \
+        assert actual_nan_k == expected_nan, (
             f"STOCH slowk NaN warmup: expected {expected_nan}, got {actual_nan_k}"
+        )
 
 
 class TestWILLRVsTA: