kingchenc
244d754707
* feat: add Doji-family candlestick patterns Five single-/two-bar Doji patterns, all `Input = Candle`, `Output = f64`: - Doji Star (CDLDOJISTAR) — a long body followed by a doji gapping away in the trend direction; bullish +1 (after a black bar), bearish -1 (after a white bar). - Dragonfly Doji (CDLDRAGONFLYDOJI) — a doji opening and closing at the high with a long lower shadow; bullish +1. - Gravestone Doji (CDLGRAVESTONEDOJI) — a doji opening and closing at the low with a long upper shadow; bearish -1. - Long-Legged Doji (CDLLONGLEGGEDDOJI) — a doji with long shadows on both sides; a non-directional indecision flag, +1 on detection. - Rickshaw Man (CDLRICKSHAWMAN) — a long-legged doji with the body centred in the range; a non-directional indecision flag, +1 on detection. Counter 254 -> 259 (mod-count == lib counted block; FAMILIES total 249 -> 254). * chore: sync indicator count to 259 --------- Co-authored-by: wickra-bot <wickra-bot@users.noreply.github.com>
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 the PolyForm Noncommercial License 1.0.0. Personal projects, research, education, non-profits, and hobby trading bots are all fine; the one thing not allowed is commercial sale of the software or of services built around it. See LICENSE.