kingchenc
e5305ffa94
Adds seven information-driven bar builders to the **Alt-Chart Bars** family, the final batch of the family-deepening run. Indicator count **507 → 514**. ## Builders All implement the `BarBuilder` trait (`update(Candle) -> Vec<Bar>`), emitting a data-dependent number of completed bars per candle. | Builder | Driver | Bar fields | |---------|--------|-----------| | `RangeBars` | close | open, close, direction | | `TickBars` | OHLCV | open, high, low, close, volume | | `VolumeBars` | OHLCV | open, high, low, close, volume | | `DollarBars` (Lopez de Prado) | OHLCV | + dollar | | `ImbalanceBars` | OHLC | + imbalance, direction | | `RunBars` | OHLC | + length, direction | | `ThreeLineBreakBars` | close | open, close, direction | ## Touchpoints Seven core modules (each with full unit tests), `mod.rs`/`lib.rs` (builders counted, bar element types on their own re-export lines), README family rows, Python/Node/WASM hand-written bindings for the variable-length output (Python tuples + `(k, N)` ndarray; Node `Vec<object>`; WASM array of objects), the `bar_builder_update_candle` fuzz target, dedicated Python + Node tests, the `BAR_BUILDERS` completeness exclusion, and CHANGELOG. ## Verification - `cargo test -p wickra-core --lib` — 4207 passed - `cargo test -p wickra-core --doc` — 464 passed - `cargo clippy --workspace --all-targets --all-features -- -D warnings` — clean - `npm test` (node) — 584 passed - `pytest` (python) — 957 passed
Wickra — WebAssembly
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 WebAssembly. 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 WebAssembly binding
(wasm-bindgen, built for the web target); it exposes 200+ streaming-first
indicators across sixteen 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.
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 four bindings — Python, Node.js, WebAssembly, and Rust — that all
expose the same indicators from the shared, unsafe-forbidden Rust core.
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.