# Wickra — Node.js [![CI](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml/badge.svg)](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml) [![codecov](https://codecov.io/gh/wickra-lib/wickra/branch/main/graph/badge.svg)](https://codecov.io/gh/wickra-lib/wickra) [![npm](https://img.shields.io/npm/v/wickra.svg?logo=npm&color=red)](https://www.npmjs.com/package/wickra) [![License: MIT OR Apache-2.0](https://img.shields.io/badge/license-MIT_OR_Apache--2.0-blue)](https://github.com/wickra-lib/wickra#license) **Streaming-first technical indicators for Node.js. `npm install wickra` — prebuilt native binary, no system dependencies.** Wickra is a multi-language technical-analysis library with a Rust core and bindings for Python, Node.js and WebAssembly, plus a C ABI for C/C++, C#, Go and any other C-capable language. Every indicator is an O(1) streaming state machine, so live trading bots and historical backtests share the exact same implementation. This package is the Node.js binding (napi-rs); it exposes 200+ streaming-first indicators across sixteen families. ## Install ```bash npm install wickra ``` The native addon ships as a prebuilt binary per platform (Linux, macOS, Windows — x64 and arm64), selected automatically through optional dependencies. There is nothing to compile. ## Quick start ```js const wickra = require('wickra'); // Batch: run an indicator over a whole array. const prices = Array.from({ length: 1000 }, (_, i) => 100 + i * 0.1); const values = new wickra.RSI(14).batch(prices); // null during warmup // Streaming: the same indicator, fed tick by tick in O(1). const rsi = new wickra.RSI(14); for (const price of liveFeed) { const value = rsi.update(price); // no recomputation over history if (value !== null && value > 70) { console.log('overbought'); } } ``` `batch(prices)` and feeding the same prices through `update()` produce identical values — the equivalence is enforced by the test suite. ## Documentation The full indicator catalogue, guides, quickstarts, and API reference live in the main repository and documentation site: - **Repository & full indicator list:** - **Docs** (quickstarts, cookbook, TA-Lib migration): - **Runnable examples:** [`examples/node/`](https://github.com/wickra-lib/wickra/tree/main/examples/node) Wickra ships native bindings for Python, Node.js, WebAssembly and Rust, plus a C ABI hub that any C-capable language (C, C++, Go, C#, Java, R) links against — all exposing 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](https://github.com/wickra-lib/wickra/blob/main/LICENSE-APACHE) or [MIT](https://github.com/wickra-lib/wickra/blob/main/LICENSE-MIT) at your option.