Files
wickra/examples/java
kingchenc a5fe2e71c4 release: bump 0.9.2 -> 0.9.3 (#325)
Release the native data-layer bundle.

`0.9.3` ships everything merged since `0.9.2`:

- **Data layer in all 10 languages** — `CandleReader` (CSV), `TickAggregator`, `Resampler`, live `BinanceFeed` (WebSocket) and the historical `fetch_binance_klines` (REST), each cross-language golden-pinned.
- **`name()` on every indicator** in all 10 languages (514 indicators, golden-pinned).
- **Python is now zero third-party deps** — NumPy is optional (`pip install wickra[numpy]`); `batch` returns a stdlib `array.array` / buffer-protocol `Matrix` (breaking; results numerically identical, batch throughput tradeoff noted in the CHANGELOG).
- **Binance feed: missing `3d` / `1M` intervals** fixed.

Pure version-string bump on top — `bump_version.py` touched 19 files (Cargo + Lock, pyproject, all node package.json/locks + 6 platform stubs, pom + csproj + DESCRIPTION, SECURITY, CHANGELOG `[0.9.3]` + compare URLs). `cargo fmt`/`clippy -D warnings`/`test --workspace --all-features` all green locally (4225+ tests, 0 failed).

The tag/publish is **not** part of this PR — it waits for explicit GO (irreversible publish to crates.io / PyPI / npm / NuGet / Maven / Go / r-universe).
2026-06-17 21:14:22 +02:00
..
2026-06-17 21:14:22 +02:00

Wickra examples — Java

Runnable examples for the Wickra Java binding. Each example is a small main class that uses the org.wickra:wickra artifact and resolves the native library automatically (from target/release during local development, or the bundled per-platform library when packaged).

Build the native library and install the binding to your local Maven repo first, then run any example with the exec plugin:

cargo build -p wickra-c --release
mvn -f bindings/java install -DskipTests
mvn -f examples/java compile
mvn -f examples/java exec:exec -Dexec.mainClass=org.wickra.examples.Streaming

(The exec:exec goal forks a JVM with --enable-native-access=ALL-UNNAMED, the flag the FFM API needs.)

Example What it does Main class
streaming Feed a synthetic price series through SMA / EMA / RSI / MACD tick by tick. org.wickra.examples.Streaming
backtest Compute a basket of indicators over an OHLCV series and print a summary. org.wickra.examples.Backtest
multi_timeframe Resample a 1-minute series into 5m / 15m and print an indicator per timeframe. org.wickra.examples.MultiTimeframe
parallel_assets SMA(20) batch over a panel of assets, serial vs parallel streams, with speedup. org.wickra.examples.ParallelAssets
strategy_rsi_mean_reversion RSI(14) mean-reversion with a PnL / Sharpe / max-DD summary. org.wickra.examples.StrategyRsiMeanReversion
strategy_macd_adx MACD crossover entries gated by ADX(14) > 20. org.wickra.examples.StrategyMacdAdx
strategy_bollinger_squeeze Bollinger-squeeze breakout with an ATR(14) trailing stop. org.wickra.examples.StrategyBollingerSqueeze
fetch_btcusdt Download real BTCUSDT klines from the Binance REST API into a CSV. org.wickra.examples.FetchBtcusdt
live_binance Stream live Binance klines through EMA(20) over a WebSocket. org.wickra.examples.LiveBinance

fetch_btcusdt and live_binance require network access; the rest run offline on deterministic synthetic data. Shared helpers (synthetic data, CSV loader, equity summary) live in MarketData and Equity.