kingchencandGitHub
82d7479011
* fix(core): de-duplicate 3 indicators by correcting their definitions Behavioral audit found these computed identically to another indicator: - AverageDrawdown was the mean per-bar under-water fraction = PainIndex. Now the conventional average drawdown: mean of the maximum depths of the distinct drawdown episodes in the window. - IntradayIntensity was a cumulative line = the A/D Line (Adl); its normalized form is the Chaikin Money Flow (Cmf). Now the raw per-bar Bostian intensity volume*(2c-h-l)/(h-l), distinct from both. - AwesomeOscillatorHistogram was AO - SMA(AO, n) = AcceleratorOscillator. Now the AO momentum AO[t] - AO[t-lookback] (the histogram delta); the 3rd parameter is reinterpreted from sma_period to lookback (default 1). Constructor signatures are unchanged, so the bindings keep their API. Core unit tests rewritten with the new reference values; workspace tests + clippy green. Binding value-tests and deep-dive docs are updated separately. * fix(core): redefine AdOscillator as the A/D Oscillator (was a Wad duplicate) AdOscillator computed the cumulative volume-free Williams A/D line, identical to the Wad indicator. Redefine it as the Williams A/D *Oscillator*: the same line minus its 13-bar SMA, so it oscillates around zero (mean-reverting) while Wad stays the drifting cumulative line for divergence analysis. The canonical name AdOscillator is now accurate; the trait name() becomes "ADOSC". Constructor stays no-arg (internal 13-bar signal). Unit tests rewritten and cross-checked against Wad - SMA(Wad, 13). The native bindings' "WilliamsAD" alias is renamed to "ADOSC" separately. * fix(bindings): rename WilliamsAD alias to ADOSC and update value tests Follows the core de-duplication: the native bindings exposed the Williams A/D line as 'WilliamsAD', which is now the A/D Oscillator. Rename the Python / Node.js / WASM alias to 'ADOSC' (regenerated node index.js / index.d.ts) and update the binding value-tests for the four redefined indicators (AverageDrawdown episode mean, AwesomeOscillatorHistogram momentum warmup, the Wad-line reference test now uses ta.Wad()). Python suite and node suite both pass (pytest all green, node 584/584). * docs: record indicator de-duplication in README and CHANGELOG README volume family: 'Williams A/D' -> 'Williams A/D Oscillator', 'Intraday Intensity Index' -> 'Intraday Intensity'. CHANGELOG [Unreleased] documents the four redefinitions and the native WilliamsAD -> ADOSC rename as breaking. * test(core): cover Default impl and drop dead match arm Codecov flagged AdOscillator::default() (never exercised) and the unreachable _ => panic!() arm in the AwesomeOscillatorHistogram test. Exercise Default in the accessors test and rewrite the histogram check as an if-let, removing the dead arm.
Wickra — WASM
Streaming-first technical indicators in the browser. npm install wickra-wasm — pure WebAssembly, runs anywhere a modern JS engine does.
Wickra is a multi-language technical-analysis library with a Rust core and
bindings for Python, Node.js and WASM, plus a C ABI for C, C++, C#, Go, Java, R and any
other C-capable language. Every indicator is an O(1)
streaming state machine, so live trading dashboards and historical backtests
share the exact same implementation. This package is the WASM binding
(wasm-bindgen, built for the web target); it exposes all 514 streaming-first
indicators across twenty-four families.
Install
npm install wickra-wasm
Quick start
The module ships a default init export that loads the .wasm payload; await
it once before constructing indicators.
import init, { RSI } from 'wickra-wasm';
await init(); // load the WebAssembly module once
// Streaming: feed prices tick by tick in O(1).
const rsi = new RSI(14);
for (const price of liveFeed) {
const value = rsi.update(price); // null during warmup
if (value !== null && value > 70) {
console.log('overbought');
}
}
Constructors mirror the other bindings (new SMA(20), new MACD(12, 26, 9),
new BollingerBands(20, 2.0), …); update() returns the latest value or
null while the indicator is still warming up.
Benchmark
benchmarks/throughput.mjs reports streaming and batch updates-per-second for
SMA, ATR and MACD. It measures this binding's FFI overhead, not a
cross-library ratio (the same Rust core runs under every binding) — see the
repository BENCHMARKS.md §3.
wasm-pack build --target nodejs --out-dir pkg-node --release
node benchmarks/throughput.mjs
Documentation
The full indicator catalogue, guides, quickstarts, and API reference live in the main repository and documentation site:
- Repository & full indicator list: https://github.com/wickra-lib/wickra
- Docs (quickstarts, cookbook, TA-Lib migration): https://docs.wickra.org
- Runnable browser examples:
examples/wasm/
Wickra ships native bindings for Python, Node.js, WASM and Rust, plus a
C ABI hub that any C-capable language (C, C++, C#, Go, Java, R) links against —
all exposing the same indicators from the shared, unsafe-forbidden Rust core.
Security
Found a security issue? Please don't open a public issue. Report it privately
via the affected repository's Security tab ("Report a vulnerability") or email
support@wickra.org with a subject line starting [wickra security]. Full
policy: https://github.com/wickra-lib/wickra/blob/main/SECURITY.md.
Disclaimer
Wickra is an indicator toolkit, not a trading system. The values it computes are deterministic transforms of the input data — they are not financial advice and do not predict the market. Any use in a live trading context is at your own risk. The library is provided as is, without warranty of any kind.
License
Licensed under either of Apache-2.0 or MIT at your option.