kingchenc
87bb008aa1
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.
103 lines
4.0 KiB
Markdown
103 lines
4.0 KiB
Markdown
# Wickra — Java
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[](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml)
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[](https://codecov.io/gh/wickra-lib/wickra)
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[](https://central.sonatype.com/artifact/org.wickra/wickra)
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[](https://github.com/wickra-lib/wickra#license)
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**Streaming-first technical indicators for the JVM, on the Java Foreign Function
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& Memory API — prebuilt native library, no JNI, no system dependencies.**
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Wickra is a multi-language technical-analysis library with a Rust core and
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bindings for Python, Node.js and WebAssembly, plus a C ABI for C/C++, C#, Go, Java, R
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and any other C-capable language. Every indicator is an O(1) streaming state
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machine, so live trading bots and historical backtests share the exact same
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implementation. This package is the Java binding; it consumes the C ABI hub
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through the Panama FFM API (`java.lang.foreign`) and exposes all 514
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streaming-first indicators as idiomatic `AutoCloseable` classes.
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## Requirements
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- **Java 22 or later** (the FFM API is final since Java 22; no preview flag).
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- The FFM API is *restricted*: pass `--enable-native-access=ALL-UNNAMED` when you
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run your application to silence the native-access warning.
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## Install
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Maven:
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```xml
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<dependency>
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<groupId>org.wickra</groupId>
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<artifactId>wickra</artifactId>
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<version>0.8.0</version>
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</dependency>
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```
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Gradle:
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```kotlin
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implementation("org.wickra:wickra:0.8.0")
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```
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The native library ships prebuilt per platform (Linux, macOS, Windows — x64 and
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arm64) inside the jar and is extracted automatically on first use. There is
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nothing to compile.
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## Quick start
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```java
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import org.wickra.Ema;
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import org.wickra.Rsi;
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// Batch: run an indicator over a whole series (NaN at warmup positions).
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double[] prices = new double[1000];
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for (int i = 0; i < prices.length; i++) {
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prices[i] = 100.0 + i * 0.1;
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}
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try (Ema ema = new Ema(20)) {
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double[] values = ema.batch(prices);
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}
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// Streaming: the same indicator, fed tick by tick in O(1).
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try (Rsi rsi = new Rsi(14)) {
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for (double price : liveFeed) {
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double value = rsi.update(price); // NaN during warmup, no recomputation
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if (Double.isFinite(value) && value > 70) {
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System.out.println("overbought");
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}
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}
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}
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```
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`batch(prices)` and feeding the same prices through `update()` produce identical
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values — the equivalence is enforced by the test suite. Multi-output indicators
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(MACD, Bollinger, ADX, …) return a `record`, `null` while warming up. Each
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indicator owns a native handle freed by a `Cleaner`; `close()` releases it
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eagerly (use try-with-resources).
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## Documentation
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The full indicator catalogue, guides, quickstarts, and API reference live in
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the main repository and documentation site:
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- **Repository & full indicator list:** <https://github.com/wickra-lib/wickra>
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- **Docs** (quickstarts, cookbook, TA-Lib migration): <https://docs.wickra.org>
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- **Runnable examples:** [`examples/java/`](https://github.com/wickra-lib/wickra/tree/main/examples/java)
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Wickra ships native bindings for Python, Node.js, WebAssembly and Rust, plus a
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C ABI hub that any C-capable language (C, C++, Go, C#, Java, R) links against —
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all exposing the same indicators from the shared, `unsafe`-forbidden Rust core.
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## Disclaimer
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Wickra is an indicator toolkit, not a trading system. The values it computes
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are deterministic transforms of the input data — they are not financial advice
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and do not predict the market. Any use in a live trading context is at your own
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risk. The library is provided **as is**, without warranty of any kind.
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## License
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Licensed under either of [Apache-2.0](https://github.com/wickra-lib/wickra/blob/main/LICENSE-APACHE)
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or [MIT](https://github.com/wickra-lib/wickra/blob/main/LICENSE-MIT) at your option.
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