chore: release v1.0.3
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Changelog
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=========
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Release Notes
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=============
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1.0.0 (2026)
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------------
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These docs track package version ``1.0.3``.
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**Candlestick Pattern Parity (61/61)**
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1.0.3 (2026-03-24)
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------------------
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- All 61 TA-Lib candlestick patterns implemented in Rust
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- ``{-100, 0, 100}`` convention, consistent with TA-Lib
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- Added top-level package metadata helpers such as ``ferro_ta.__version__``,
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``ferro_ta.about()``, and ``ferro_ta.methods()``.
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- Added a standalone derivatives benchmark artifact for selected options
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pricing, IV, Greeks, and Black-76 comparisons.
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- Simplified release version bumps with a single script and updated release
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guidance.
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**Numerical Parity**
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1.0.2 (2026-03-24)
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------------------
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- RSI, ATR/NATR, CCI, BETA, STOCH, STOCHRSI, ADX/DX/DI/DM all rewritten to match TA-Lib seeding
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- Removed dependency on ``ta`` crate for these indicators
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- Improved rolling statistical kernels and several Python analysis hotspots.
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- Added reproducible perf-contract artifacts, TA-Lib regression guards, and
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updated benchmark tooling.
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- Tightened the public benchmark documentation so claims, caveats, and evidence
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live closer together.
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**Streaming / Incremental API**
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1.0.1 (2026-03-24)
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------------------
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- New :mod:`ferro_ta.streaming` module with bar-by-bar stateful classes
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- ``StreamingSMA``, ``StreamingEMA``, ``StreamingRSI``, ``StreamingATR``, ``StreamingBBands``, ``StreamingMACD``, ``StreamingStoch``, ``StreamingVWAP``, ``StreamingSupertrend``
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- Improved release automation for PyPI, crates.io, and npm.
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- Fixed CI workflow issues that caused otherwise healthy release jobs to fail.
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- Ensured the published WASM package includes its built ``pkg/`` artifacts.
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**Pandas Integration**
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1.0.0 (2026-03-23)
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------------------
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- All indicators transparently accept ``pandas.Series`` and return ``Series`` with original index preserved
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- Multi-output functions return tuples of ``Series``
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- First stable release of the Rust-backed Python technical analysis library.
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- Shipped broad TA-Lib coverage, streaming APIs, extended indicators, and the
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initial Sphinx documentation set.
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- Added the benchmark suite, release playbook, and compatibility/testing
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scaffolding for stable releases.
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**Math Operators / Transforms**
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- 24 functions: arithmetic (ADD/SUB/MULT/DIV), rolling (SUM/MAX/MIN/MAXINDEX/MININDEX), element-wise math transforms
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- SUM uses vectorized cumsum (220× faster than a naive loop)
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**Documentation**
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- Sphinx documentation setup with API reference, quickstart guide, and benchmarks page
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**Benchmarking Suite**
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- ``benchmarks/test_speed.py`` for authoritative ``pytest-benchmark`` speed runs
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- ``benchmarks/bench_vs_talib.py`` for TA-Lib head-to-head comparisons
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**Extended Indicators**
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- ``VWAP`` — cumulative or rolling window
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- ``SUPERTREND`` — ATR-based trend signal
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**Additional Extended Indicators**
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- ``ICHIMOKU`` — Ichimoku Cloud (Tenkan, Kijun, Senkou A/B, Chikou)
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- ``DONCHIAN`` — Donchian Channels (upper, middle, lower)
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- ``PIVOT_POINTS`` — Classic, Fibonacci, and Camarilla pivot points
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**Type Stubs & Packaging**
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- ``python/ferro_ta/__init__.pyi`` type stub for IDE auto-completion
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- ``pyproject.toml``: added optional extras (benchmark, pandas, docs, all), project URLs, Python 3.10–3.13 classifiers
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For the canonical project changelog, including the full per-version details,
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see `CHANGELOG.md <https://github.com/pratikbhadane24/ferro-ta/blob/main/CHANGELOG.md>`_.
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