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kingchenc 87bb008aa1 release: bump 0.7.9 -> 0.8.0 + Go module mirror (#237 )

Bumps the workspace from 0.7.9 to 0.8.0 and adds the release-time mirror of the Go module to a standalone `wickra-go` repository.

## release.yml: `go-mirror` job
Adds a `go-mirror` job (independent of `github-release`, `needs: c-abi-build`) that on every `v*` tag:
- assembles the standalone Go module from `bindings/go` (single-package source + the vendored `include/wickra.h`),
- stages the six prebuilt C ABI libraries from the `c-abi-build` artifacts under `lib/<goos>_<goarch>/` (committed in the mirror, unlike the in-repo `lib/.gitignore`),
- rewrites `go.mod` to `module github.com/wickra-lib/wickra-go`,
- commits and tags the result in `wickra-lib/wickra-go` using the `WICKRA_GO_MIRROR_TOKEN` fine-grained PAT.

This makes `go get github.com/wickra-lib/wickra-go` build with no extra steps, closing the gap where the in-repo `bindings/go` module only built inside a full repository checkout. The mirror is a derived artifact, so its bot commit is intentionally unsigned.

## Version bump 0.7.9 -> 0.8.0
Patch never reaches double digits (`0.7.9` -> `0.8.0`). Touchpoints: `Cargo.toml` (+ `Cargo.lock` via build), `bindings/python/pyproject.toml`, `bindings/node/package.json` + 6 platform `npm/*/package.json` + both `package-lock.json` files, `bindings/java/pom.xml` + `examples/java/pom.xml` + Maven/Gradle snippets in `bindings/java/README.md`, and `CHANGELOG.md`. The C# `Wickra.csproj` (version set per tag) and `bindings/c` (inherits the workspace version) are intentionally untouched.

Tagging `v0.8.0` (which triggers the publish + the new mirror) stays gated on explicit confirmation.

2026-06-09 23:50:48 +02:00

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Wickra — Java

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:

<dependency>
  <groupId>org.wickra</groupId>
  <artifactId>wickra</artifactId>
  <version>0.8.0</version>
</dependency>

Gradle:

implementation("org.wickra:wickra:0.8.0")

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

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/

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 or MIT at your option.

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