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wickra/bindings/java/README.md
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kingchenc 167f7b3ffe Add the Java binding over the C ABI hub (Panama/FFM) (#233)
Adds a Java binding (`bindings/java`) over the C ABI hub — the fourth language stecker after C#, Go and R, reaching the hub through the Java Foreign Function & Memory API (Panama, `java.lang.foreign`, final in Java 22) rather than JNI or jextract.

## What's here
- **`bindings/java`** — a Maven module (`org.wickra:wickra`) exposing all 514 indicators as idiomatic `AutoCloseable` classes. The downcall handles (`internal/NativeMethods.java`), the per-indicator wrappers and the output records are generated from `bindings/c/include/wickra.h` (same eight-archetype taxonomy as the C#/Go/R generators: scalar/batch, multi-output, bars, profile, values-profile, array-input). The opaque handle is a `MemorySegment` freed by a registered `java.lang.ref.Cleaner` action; multi-output returns a `record` (`null` at warmup), bars a `record[]`, profiles a record with a trailing `double[]`. The hand-written `WickraNative` resolves the native library (a bundled per-platform copy, or a `target/release` fallback for local development) and validates it against a sentinel symbol. repr(C) struct offsets are computed in the generator so the FFM reads land on the exact bytes.
- **`examples/java`** — the full example suite mirroring C/C#/Go/R: streaming, backtest, multi_timeframe, parallel_assets (parallel streams), three strategies, and `FetchBtcusdt`/`LiveBinance`.
- **CI** — a `java` job builds the C ABI library, sets up JDK 22 (Temurin, with a CDN-flake retry), runs the archetype test suite and the seven offline examples on Linux, macOS and Windows.
- **Release** — a gated `java-publish` job (skipped until the `JAVA_PUBLISH_ENABLED` repository variable is set) stages the native libraries from the `wickra-c-<triple>.tar.gz` assets into the binding's resources and deploys to Maven Central with GPG signing. Independent of the GitHub-release job, like the NuGet job.
- **Docs** — Java added to the README languages table, project layout, building/testing and comparison table, CONTRIBUTING, ARCHITECTURE, the examples index, the issue/PR templates, the About-description template, and the other binding READMEs.

## Requirements
Java 22+ (the FFM API is final since Java 22). The binding requires `--enable-native-access=ALL-UNNAMED` at runtime; the test and example runners pass it automatically.

No Rust crate or `Cargo.toml` change — the Java binding is standalone and additive. The generated `*.java` are committed (like the node `index.js`/`index.d.ts`); the generator stays private.
2026-06-09 20:30:29 +02:00

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# Wickra — Java
[![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)
[![Maven Central](https://img.shields.io/maven-central/v/org.wickra/wickra.svg?logo=apache-maven&color=blue)](https://central.sonatype.com/artifact/org.wickra/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 the JVM, on the Java Foreign Function
& Memory API — prebuilt native library, no JNI, 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, Java, R
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 Java binding; it consumes the C ABI hub
through the Panama FFM API (`java.lang.foreign`) and exposes all 514
streaming-first indicators as idiomatic `AutoCloseable` classes.
## Requirements
- **Java 22 or later** (the FFM API is final since Java 22; no preview flag).
- The FFM API is *restricted*: pass `--enable-native-access=ALL-UNNAMED` when you
run your application to silence the native-access warning.
## Install
Maven:
```xml
<dependency>
<groupId>org.wickra</groupId>
<artifactId>wickra</artifactId>
<version>0.7.8</version>
</dependency>
```
Gradle:
```kotlin
implementation("org.wickra:wickra:0.7.8")
```
The native library ships prebuilt per platform (Linux, macOS, Windows — x64 and
arm64) inside the jar and is extracted automatically on first use. There is
nothing to compile.
## Quick start
```java
import org.wickra.Ema;
import org.wickra.Rsi;
// Batch: run an indicator over a whole series (NaN at warmup positions).
double[] prices = new double[1000];
for (int i = 0; i < prices.length; i++) {
prices[i] = 100.0 + i * 0.1;
}
try (Ema ema = new Ema(20)) {
double[] values = ema.batch(prices);
}
// Streaming: the same indicator, fed tick by tick in O(1).
try (Rsi rsi = new Rsi(14)) {
for (double price : liveFeed) {
double value = rsi.update(price); // NaN during warmup, no recomputation
if (Double.isFinite(value) && value > 70) {
System.out.println("overbought");
}
}
}
```
`batch(prices)` and feeding the same prices through `update()` produce identical
values — the equivalence is enforced by the test suite. Multi-output indicators
(MACD, Bollinger, ADX, …) return a `record`, `null` while warming up. Each
indicator owns a native handle freed by a `Cleaner`; `close()` releases it
eagerly (use try-with-resources).
## 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 examples:** [`examples/java/`](https://github.com/wickra-lib/wickra/tree/main/examples/java)
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.