Completes the F9 family (Cumulative volume) end to end:
- Rust core: adl.rs (Accumulation/Distribution Line — cumulative
range-weighted volume) and vpt.rs (Volume-Price Trend — cumulative
volume scaled by percentage price change). Each with a full Indicator
impl, runnable doctest and reference / cumulative-property / warmup /
reset / batch==streaming tests.
- Python: PyAdl / PyVolumePriceTrend PyO3 classes + module registration
+ .pyi stubs (no parameters, like OBV/VWAP).
- Node: explicit AdlNode and VolumePriceTrendNode; index.d.ts and
index.js updated.
- WASM: WasmAdl and WasmVolumePriceTrend.
- Wiki: Indicator-Adl.md and Indicator-VolumePriceTrend.md plus rows in
Indicators-Overview.md and entries in Home.md.
cargo fmt + clippy (core/wickra/data/wasm/node) clean; 373 core tests,
25 data tests and 53 doctests green.
Completes the F7 family (Volatility) end to end:
- Rust core: natr.rs (ATR as a percentage of close), std_dev.rs
(rolling population standard deviation), ulcer_index.rs (RMS of
trailing-high drawdowns — downside-only risk), historical_volatility.rs
(annualised sample stddev of log returns). Each with a full Indicator
impl, runnable doctest and reference / constant-series / warmup /
reset / batch==streaming tests.
- Python: PyNatr / PyStdDev / PyUlcerIndex / PyHistoricalVolatility
PyO3 classes + module registration + .pyi stubs.
- Node: StdDevNode / UlcerIndexNode via the scalar macro, explicit
NatrNode and HistoricalVolatilityNode; index.d.ts and index.js updated.
- WASM: WasmStdDev / WasmUlcerIndex / WasmHistoricalVolatility via the
scalar macro, explicit WasmNatr.
- Wiki: Indicator-Natr/StdDev/UlcerIndex/HistoricalVolatility.md plus
rows in Indicators-Overview.md and entries in Home.md.
cargo fmt + clippy (core/wickra/data/wasm/node) clean; 350 core tests,
25 data tests and 49 doctests green.
Completes the F5 family (Price oscillators) end to end:
- Rust core: ppo.rs (Percentage Price Oscillator — MACD as a percentage
of the slow EMA), dpo.rs (Detrended Price Oscillator — shifted price
minus its SMA), coppock.rs (Coppock Curve — WMA of two summed ROCs).
Each with a full Indicator impl, runnable doctest and reference /
constant-series / warmup / reset / batch==streaming / non-finite tests.
- Python: PyPpo / PyDpo / PyCoppock PyO3 classes + module registration
+ .pyi stubs (defaults PPO=(12,26), DPO=20, Coppock=(14,11,10)).
- Node: DpoNode via the scalar macro, explicit PpoNode and CoppockNode;
index.d.ts and index.js updated.
- WASM: WasmDpo / WasmPpo / WasmCoppock via the scalar macro.
- Wiki: Indicator-Ppo/Dpo/Coppock.md plus rows in Indicators-Overview.md
and entries in Home.md.
cargo fmt + clippy (core/wickra/data/wasm/node) clean; 300 core tests,
25 data tests and 42 doctests green.
Completes the F4 family (Stochastic oscillators) end to end:
- Rust core: stoch_rsi.rs (Stochastic Oscillator applied to the RSI
series, bounded [0,100]) and ultimate_oscillator.rs (Larry Williams'
weighted three-timeframe buying-pressure oscillator). Each with a full
Indicator impl, runnable doctest and reference / saturation / bounds /
warmup / reset / batch==streaming tests.
- Python: PyStochRsi / PyUltimateOscillator PyO3 classes + module
registration + .pyi stubs (defaults StochRSI=(14,14), UO=(7,14,28)).
- Node: explicit StochRsiNode and UltimateOscillatorNode; index.d.ts
and index.js updated.
- WASM: WasmStochRsi via the scalar macro, explicit
WasmUltimateOscillator.
- Wiki: Indicator-StochRsi.md and Indicator-UltimateOscillator.md plus
rows in Indicators-Overview.md and entries in Home.md.
cargo fmt + clippy (core/wickra/data/wasm/node) clean; 278 core tests,
25 data tests and 39 doctests green.
Completes the F2 family (Advanced MAs) end to end:
- Rust core: zlema.rs (Zero-Lag EMA over the de-lagged series
2·price − price[lag]), t3.rs (Tillson's six-EMA cascade with the
volume-factor polynomial), vwma.rs (volume-weighted rolling mean with
a zero-volume fallback to the unweighted mean). Each with a full
Indicator impl, runnable doctest and reference-value / warmup /
reset / batch==streaming / non-finite tests.
- Python: PyZlema / PyT3 / PyVwma PyO3 classes + module registration
+ .pyi stubs (T3 defaults v=0.7).
- Node: ZlemaNode via the scalar macro, explicit T3Node and VwmaNode
classes; index.d.ts and index.js updated.
- WASM: WasmZlema / WasmT3 via the scalar macro, explicit WasmVwma.
- Wiki: Indicator-Zlema.md, Indicator-T3.md, Indicator-Vwma.md plus
rows in Indicators-Overview.md and entries in Home.md.
cargo fmt + clippy (core/wickra/data/wasm/node) clean; 232 core tests,
25 data tests and 33 doctests green.
Completes the F1 family (Simple & Weighted MAs). The Rust core for both
SMMA (Wilder's RMA) and TRIMA (triangular MA) already landed; this adds
the remaining Definition-of-Done steps:
- Python: PySmma / PyTrima PyO3 classes + module registration + .pyi stubs.
- Node: SmmaNode / TrimaNode via the scalar-indicator macro; index.d.ts
and index.js updated for the two new classes.
- WASM: WasmSmma / WasmTrima via the scalar-indicator macro.
- Wiki: Indicator-Smma.md and Indicator-Trima.md (full pages) plus rows
in Indicators-Overview.md and entries in Home.md.
cargo fmt + clippy (core/wickra/data/wasm/node) clean; 208 core tests,
25 data tests and 31 doctests green.
Every Python batch() did prices.as_slice().expect("contiguous"), so a
non-contiguous NumPy input (e.g. a strided view) aborted with a Rust
panic instead of a catchable exception. as_slice() failures now map to a
PyValueError pointing at np.ascontiguousarray; the scalar / MACD /
Bollinger batch methods that returned a bare array were lifted to
PyResult so the error can propagate. Adds input-validation tests
(non-contiguous arrays, unequal-length candle batches, ROC/TRIX
defaults). All 60 Python tests pass against the freshly built wheel.
Every other Python momentum indicator (RSI, CCI, ...) carries a
#[pyo3(signature)] default, but ROC and TRIX required an explicit
period. Both now default to the TA-Lib convention (ROC period=10, TRIX
period=30), and the .pyi stubs reflect the defaults. Node and WASM
constructors deliberately stay explicit-only -- napi-rs and
wasm-bindgen do not support default arguments, and every constructor in
those bindings is uniformly explicit.
Candle batch() methods that index parallel high/low/close/volume arrays
without first checking their lengths panic on a length mismatch. Adds an
equal-length guard returning a clean error to the 11 affected Node
methods (Stochastic, ADX, CCI, WilliamsR, MFI, PSAR, Keltner, Donchian,
VWAP, AO, Aroon), the 10 affected WASM methods, and the 8 affected
Python methods (WilliamsR, ADX, MFI, PSAR, Keltner, VWAP, AO, Aroon) --
matching the guard ATR/OBV already had. Verified in Node: mismatched
arrays now throw instead of crashing.
A multi-language technical analysis library: 25 indicators across trend,
momentum, volatility, and volume families, every one a state machine with
O(1) per-tick updates. Batch evaluation is provided by a blanket extension
trait over the streaming primitive, so live trading bots and historical
backtests run the same code path.
What ships in this initial drop:
crates/wickra-core - 25 indicators, Indicator/BatchExt/Chain traits,
OHLCV types with validation; 171 unit tests,
property tests, Wilder/Bollinger textbook tests.
crates/wickra - top-level facade + criterion benches for every
indicator at 1K/10K/100K series sizes.
crates/wickra-data - streaming CSV reader, tick-to-candle aggregator,
multi-timeframe resampler, Binance Spot kline
WebSocket adapter behind feature live-binance;
11 unit + 1 doctest.
bindings/python - PyO3 + maturin, NumPy I/O, type stubs (.pyi),
56 pytest tests including streaming==batch
equivalence, Wilder reference values, lifecycle.
bindings/node - napi-rs native module, TypeScript .d.ts
auto-generated, 7 node --test cases.
bindings/wasm - wasm-bindgen ES module for browser/bundler/Node;
interactive HTML demo at examples/index.html.
examples/ - Python and Rust scripts: backtest, live trading,
parallel multi-asset, multi-timeframe, Binance.
benchmarks/ - cross-library comparison against TA-Lib,
pandas-ta, finta, talipp; Wickra wins every
category by 11-1030x (batch) and 17x+ streaming.
.github/workflows/ - CI matrix (Rust + Python + Node + WASM on
Linux/macOS/Windows), release pipeline for
PyPI wheels and npm.
Indicators (25):
Trend SMA EMA WMA DEMA TEMA HMA KAMA
Momentum RSI MACD Stochastic CCI ROC WilliamsR ADX MFI TRIX
AwesomeOscillator Aroon
Volatility BollingerBands ATR Keltner Donchian PSAR
Volume OBV VWAP (cumulative + rolling)
cargo clippy --workspace --all-targets -D warnings is clean. License: Apache-2.0.
kingchenc