36 lines
2.2 KiB
Markdown
36 lines
2.2 KiB
Markdown
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# Wickra examples — Java
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Runnable examples for the [Wickra Java binding](../../bindings/java). Each
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example is a small `main` class that uses the `org.wickra:wickra` artifact and
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resolves the native library automatically (from `target/release` during local
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development, or the bundled per-platform library when packaged).
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Build the native library and install the binding to your local Maven repo
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first, then run any example with the `exec` plugin:
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```bash
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cargo build -p wickra-c --release
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mvn -f bindings/java install -DskipTests
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mvn -f examples/java compile
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mvn -f examples/java exec:exec -Dexec.mainClass=org.wickra.examples.Streaming
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```
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(The `exec:exec` goal forks a JVM with `--enable-native-access=ALL-UNNAMED`, the
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flag the FFM API needs.)
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| Example | What it does | Main class |
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| --- | --- | --- |
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| `streaming` | Feed a synthetic price series through SMA / EMA / RSI / MACD tick by tick. | `org.wickra.examples.Streaming` |
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| `backtest` | Compute a basket of indicators over an OHLCV series and print a summary. | `org.wickra.examples.Backtest` |
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| `multi_timeframe` | Resample a 1-minute series into 5m / 15m and print an indicator per timeframe. | `org.wickra.examples.MultiTimeframe` |
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| `parallel_assets` | SMA(20) batch over a panel of assets, serial vs parallel streams, with speedup. | `org.wickra.examples.ParallelAssets` |
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| `strategy_rsi_mean_reversion` | RSI(14) mean-reversion with a PnL / Sharpe / max-DD summary. | `org.wickra.examples.StrategyRsiMeanReversion` |
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| `strategy_macd_adx` | MACD crossover entries gated by ADX(14) > 20. | `org.wickra.examples.StrategyMacdAdx` |
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| `strategy_bollinger_squeeze` | Bollinger-squeeze breakout with an ATR(14) trailing stop. | `org.wickra.examples.StrategyBollingerSqueeze` |
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| `fetch_btcusdt` | Download real BTCUSDT klines from the Binance REST API into a CSV. | `org.wickra.examples.FetchBtcusdt` |
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| `live_binance` | Stream live Binance klines through EMA(20) over a WebSocket. | `org.wickra.examples.LiveBinance` |
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`fetch_btcusdt` and `live_binance` require network access; the rest run offline
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on deterministic synthetic data. Shared helpers (synthetic data, CSV loader,
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equity summary) live in `MarketData` and `Equity`.
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