Files

T

kingchenc 81962485af F9: add Accumulation/Distribution Line and Volume-Price Trend

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.

2026-05-22 18:38:21 +02:00

examples

Wickra 0.1.0: streaming-first technical indicators

2026-05-21 17:50:45 +02:00

src

F9: add Accumulation/Distribution Line and Volume-Price Trend

2026-05-22 18:38:21 +02:00

Cargo.toml

B6: add a WASM binding test suite

2026-05-22 04:05:15 +02:00

README.md

Wickra 0.1.0: streaming-first technical indicators

2026-05-21 17:50:45 +02:00

README.md

wickra-wasm

WebAssembly bindings for the Wickra streaming-first technical indicators library.

Build

You need wasm-pack and the wasm32-unknown-unknown Rust target:

rustup target add wasm32-unknown-unknown
cargo install wasm-pack

Then from the repository root:

wasm-pack build bindings/wasm --target web --release --features panic-hook

The compiled package lands in bindings/wasm/pkg/. Targets:

--target web for native ES modules in browsers
--target bundler for webpack/Vite/Rollup
--target nodejs for Node.js

Example

import init, { SMA, RSI, MACD, version } from "./pkg/wickra_wasm.js";

await init();
console.log("wickra:", version());

// Streaming
const rsi = new RSI(14);
for (const price of livePrices) {
  const v = rsi.update(price);
  if (v !== undefined && v > 70) console.log("overbought");
}

// Batch (returns a Float64Array; NaN for warmup positions)
const sma = new SMA(20).batch(new Float64Array(historicalPrices));

An interactive demo lives in bindings/wasm/examples/index.html. After building the package serve the bindings/wasm/ directory and open examples/index.html.