Twelve WASM classes previously exposed only `batch()` (and not even
`reset()` for ten of them): ADX, WilliamsR, CCI, MFI, PSAR, Keltner,
Donchian, VWAP, AwesomeOscillator, Aroon, Stochastic, OBV. Browser
consumers wanting per-tick updates had to replay `batch()` on every new
candle — the opposite of the library's streaming-first promise.
Each class now exposes:
- `update(...)` — per-tick streaming update with the same column inputs
as `batch()`. Single-output indicators return `Option<f64>`. Multi-
output indicators (ADX, Keltner, Donchian, Aroon, Stochastic) return a
named JS object (`{ plusDi, minusDi, adx }`, `{ upper, middle, lower }`,
`{ up, down }`, `{ k, d }`) once warm, or `null` during warmup. This
matches the existing `SuperTrend` convention so JS code can treat all
multi-output WASM indicators uniformly.
- `reset()`, `isReady()`, `warmupPeriod()` — bring the lifecycle API to
full parity with Python and Node.
`WasmKama` also gains the previously missing `warmupPeriod()` (R8). A
single new `wasm-bindgen-test` exercises every newly wired class against
a deterministic 40-bar synthetic OHLCV stream, asserting that
streaming `update` matches `batch` value-by-value and that the lifecycle
contract behaves the same as the core indicator.
173 lines
8.9 KiB
Markdown
173 lines
8.9 KiB
Markdown
# Changelog
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All notable changes to Wickra are documented in this file.
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [Unreleased]
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### Added
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- WASM binding now exposes the streaming `update()` method on every candle-input
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indicator: `Adx`, `WilliamsR`, `Cci`, `Mfi`, `Psar`, `Keltner`, `Donchian`,
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`Vwap`, `AwesomeOscillator`, `Aroon`, `Stochastic`, and `Obv`. Multi-output
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indicators (`Adx`, `Keltner`, `Donchian`, `Aroon`, `Stochastic`) return a
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named JS object (`{ plusDi, minusDi, adx }`, `{ upper, middle, lower }`,
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`{ up, down }`, `{ k, d }`) once warm, or `null` during warmup — matching the
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existing `SuperTrend` convention. Each class also gains `reset()`, `isReady()`
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and `warmupPeriod()`, bringing the WASM surface to full parity with Python
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and Node so browser-side streaming code no longer has to replay `batch()`
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on every tick. `WasmKama` gains the previously missing `warmupPeriod()`.
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- New `wasm-bindgen` integration test exercises `update == batch` plus the full
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lifecycle (`reset` / `isReady` / `warmupPeriod`) for all twelve newly wired
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classes against a deterministic 40-bar synthetic OHLCV stream.
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### Security
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- Upgrade `pyo3` (0.22 → 0.28) and `numpy` (0.22 → 0.28) in the Python binding.
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Fixes [RUSTSEC-2025-0020](https://rustsec.org/advisories/RUSTSEC-2025-0020) —
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a buffer overflow in `PyString::from_object` that affected the published
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Python wheels. The `cargo-deny` ignore entry that previously suppressed the
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advisory has been removed; `cargo deny check` is now clean without
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suppression. Migrated `into_pyarray_bound` to `into_pyarray`,
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`downcast::<PyDict>` to `cast::<PyDict>`, and opted every `#[pyclass]` out of
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the deprecated automatic `FromPyObject` derive via `skip_from_py_object`.
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### Added
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- 46 new technical indicators, taking the library from 25 to 71 and
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reorganising the catalogue into **eight families**, each with at least five
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members. Every indicator is implemented once in the Rust core and wired
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through the Python, Node and WASM bindings, with reference-value tests and a
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dedicated wiki page:
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- Moving Averages: `Smma`, `Trima`, `Zlema`, `T3`, `Vwma`.
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- Momentum Oscillators: `Mom`, `Cmo`, `Tsi`, `Pmo`, `StochRsi`,
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`UltimateOscillator`.
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- Trend & Directional: `AroonOscillator`, `Vortex`, `MassIndex`,
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`ChoppinessIndex`, `VerticalHorizontalFilter`.
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- Price Oscillators: `Ppo`, `Dpo`, `Coppock`, `AcceleratorOscillator`,
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`BalanceOfPower`.
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- Volatility & Bands: `Natr`, `StdDev`, `UlcerIndex`,
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`HistoricalVolatility`, `BollingerBandwidth`, `PercentB`, `TrueRange`,
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`ChaikinVolatility`.
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- Trailing Stops: `SuperTrend`, `ChandelierExit`, `ChandeKrollStop`,
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`AtrTrailingStop`.
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- Volume: `Adl`, `VolumePriceTrend`, `ChaikinMoneyFlow`,
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`ChaikinOscillator`, `ForceIndex`, `EaseOfMovement`.
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- Price Statistics: `TypicalPrice`, `MedianPrice`, `WeightedClose`,
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`LinearRegression`, `LinRegSlope`, `ZScore`, `LinRegAngle`.
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- `TickAggregator::with_gap_fill` — opt-in mode that emits a flat placeholder
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candle for every empty bucket between two ticks, keeping the candle series
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evenly spaced for downstream indicators.
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- CSV reader: a leading UTF-8 byte-order mark is stripped, fields are trimmed,
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and the header is validated against the required OHLCV columns.
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- CI: an `msrv` job that builds and tests the workspace on Rust 1.75 and the
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node binding on Rust 1.77.
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- Community health files: `CONTRIBUTING.md`, `SECURITY.md`,
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`CODE_OF_CONDUCT.md`, issue / pull-request templates, `CODEOWNERS`, and a
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Dependabot configuration.
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- Seven example OHLCV datasets under `examples/data/`, one per timeframe
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(1m / 5m / 15m / 1h / 12h / 1d / 1month), holding real BTCUSDT spot klines,
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alongside the `fetch_btcusdt` example that regenerates them from the
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Binance REST API.
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- `Timeframe::minutes`, `Timeframe::hours` and `Timeframe::days` convenience
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constructors, each building on seconds with a checked-multiplication
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overflow guard.
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### Changed
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- The indicator wiki is reorganised into eight family folders under
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`docs/wiki/indicators/` (`moving-averages/`, `momentum-oscillators/`,
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`trend-directional/`, `price-oscillators/`, `volatility-bands/`,
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`trailing-stops/`, `volume/`, `price-statistics/`); `Indicators-Overview.md`,
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`Home.md` and the README indicator table follow the same eight families.
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- `TickAggregator::push` returns `Result<Vec<Candle>>` (was
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`Result<Option<Candle>>`) so a single tick can yield a closed bar plus gap
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fillers.
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- `Resampler::push` returns `Result<Option<Candle>>`: a candle in a bucket
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earlier than the open bar is now rejected as out of order.
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- Aggregated candles are finalised through the validating `Candle::new`, so a
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volume that overflows to a non-finite value is surfaced as an error instead
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of producing a poisoned candle.
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- All GitHub Actions are pinned to commit SHAs; the four publish jobs run in a
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protected `release` environment.
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- The indicator benchmarks (`crates/wickra/benches/indicators.rs`) now run
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against the checked-in real BTCUSDT 1-minute dataset instead of a synthetic
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price series.
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- Every language's examples now live under a uniform `examples/<lang>/`
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tree: Rust moved into a new `examples/rust/` workspace member crate
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(`wickra-examples`, run via `cargo run -p wickra-examples --bin <name>`),
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Node into `examples/node/` with its own `package.json` linking `wickra` via
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`file:../../bindings/node`, and the WASM browser demos into
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`examples/wasm/`. The bundled BTCUSDT datasets move alongside them at
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`examples/data/`. Six new examples close the cross-language parity matrix:
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streaming demos for Python and Rust; multi-timeframe and parallel-assets
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demos for both Rust and Node.
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- Cross-language data-generator parity: `examples/python/fetch_btcusdt.py`
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(stdlib only: `urllib` + `json` + `csv`) and `examples/node/fetch_btcusdt.js`
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(Node 18+ built-in `fetch`) mirror the Rust `fetch_btcusdt` binary —
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byte-for-byte identical CSV output on the same Binance snapshot.
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- Four additional WebAssembly browser demos under `examples/wasm/`
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alongside the original `index.html`: `backtest.html` (fetch + basket of
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indicators), `live_trading.html` (browser-native `WebSocket` to
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Binance), `multi_timeframe.html` (in-page resample) and
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`parallel_assets.html` + `parallel_worker.js` (module-Worker pool with
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serial-vs-parallel speedup). The cross-language matrix is now closed
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for every cell where the pattern makes sense.
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- Three new wiki pages: `TA-Lib-Migration.md` (full mapping table from
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`talib.X(...)` calls to Wickra), `Cookbook.md` (seven concrete
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strategy recipes — RSI mean reversion, MACD crossover, Bollinger
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breakout, ADX-gated trend, multi-timeframe confirmation, SuperTrend,
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chained indicators) and `FAQ.md`. All three linked from `Home.md`.
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### Fixed
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- `Timeframe::floor` no longer overflows for timestamps near `i64::MIN`.
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- The aggregator rejects same-bucket ticks that arrive out of order instead of
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silently overwriting the bar's close with a stale price.
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- The Binance live stream reconnects with exponential backoff, skips non-kline
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frames, applies a read timeout and message-size limits, and tracks a closed
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flag.
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- Example scripts: `live_trading.py` skips non-kline frames and validates the
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symbol/interval; `backtest.py` and `multi_timeframe.py` report clear errors
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for malformed CSV input.
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## [0.1.4] - 2026-05-21
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### Added
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- GitHub Release runs now attach every built artefact (wheels, sdist, native
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Node binaries, npm-pack tarballs, cargo `.crate` files) to the tag's
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release page.
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## [0.1.3] - 2026-05-21
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### Fixed
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- npm package ships the napi-generated loader and is built with `--platform`
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so the per-platform binary is resolved correctly.
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## [0.1.2] - 2026-05-21
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### Fixed
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- Release pipeline: per-platform idempotent npm publishing with a spam-filter
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retry, and committed `npm/<platform>/` package templates.
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## [0.1.1] - 2026-05-21
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### Fixed
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- Node publish step and coordinated version bump across all bindings.
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## [0.1.0] - 2026-05-21
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### Added
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- Initial release: a streaming-first technical-analysis library with 25
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indicators (SMA, EMA, WMA, DEMA, TEMA, HMA, KAMA, RSI, MACD, ROC, Stochastic,
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CCI, Williams %R, ADX, MFI, TRIX, Aroon, Awesome Oscillator, Bollinger Bands,
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ATR, Keltner Channels, Donchian Channels, Parabolic SAR, OBV, VWAP).
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- Rust core (`wickra-core`), umbrella crate (`wickra`), and a data layer
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(`wickra-data`) with a CSV reader, tick aggregator, resampler, and an
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optional Binance live feed.
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- Bindings for Python, Node.js, and WebAssembly.
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[Unreleased]: https://github.com/kingchenc/wickra/compare/v0.1.4...HEAD
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[0.1.4]: https://github.com/kingchenc/wickra/compare/v0.1.3...v0.1.4
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[0.1.3]: https://github.com/kingchenc/wickra/compare/v0.1.2...v0.1.3
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[0.1.2]: https://github.com/kingchenc/wickra/compare/v0.1.1...v0.1.2
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[0.1.1]: https://github.com/kingchenc/wickra/compare/v0.1.0...v0.1.1
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[0.1.0]: https://github.com/kingchenc/wickra/releases/tag/v0.1.0
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