677ea37402
Stacked on #315 (the native Binance REST fetcher). Retarget to `main` once #315 merges. Migrates the runnable examples off third-party data-I/O packages onto Wickra's native data layer (`CandleReader`, `Resampler`, `BinanceFeed`, `fetch_*klines`). ## Third-party packages removed (the zero-dep selling point) - **Node**: `ws` (live feed → BinanceFeed) — dropped from package.json + lockfile - **Go**: `github.com/coder/websocket` — dropped from go.mod / go.sum (`go mod tidy`) - **Java**: `jackson-databind` (live feed + REST fetch) — dropped from pom.xml - **R**: `jsonlite` + `websocket` + `later` — dropped from the README notes Each language's CSV loading now goes through `CandleReader`, manual resampling through `Resampler`, the live feed through `BinanceFeed`, and (Java/R) the REST download through the native fetcher. ## Verification Ran the offline examples per language against the bundled data — backtest and multi_timeframe produce identical output across Python / Node / Go / Java / R (e.g. ATR(14) last 345.1010; 1h→5m resamples to 240 bars, →15m to 80 bars). C# / C / WASM (stdlib-only, no third-party deps to remove) follow in this branch. Note: the streaming `strategy_*` examples have pre-existing candle-indicator runtime bugs (CI only syntax-smokes them); the CSV migration preserves their shape and leaves those bugs for a separate fix.
179 lines
6.0 KiB
JavaScript
179 lines
6.0 KiB
JavaScript
// Strategy example: Bollinger-Squeeze breakout with ATR-based stop.
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//
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// Enters long when the Bollinger Bandwidth has just printed a fresh 6-month low
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// (the squeeze) and price closes above the upper band (the release). Exits when
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// price closes below entry minus 2 * ATR(14), or when the upper band rolls back
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// under the entry price. 0.1% fees per trade.
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//
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// Educational example. NOT a live trading recommendation. The Node counterpart
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// of `examples/python/strategy_bollinger_squeeze.py` and the Rust
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// `examples/rust/src/bin/strategy_bollinger_squeeze.rs`, printing the same
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// summary.
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//
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// Build the native binding once, then run it:
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//
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// cd bindings/node && npm install && npx napi build --platform --release
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// cd ../../examples/node && npm install
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// node strategy_bollinger_squeeze.js
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//
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// Uses the checked-in `examples/data/btcusdt-1d.csv` dataset because daily bars
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// give an interpretable 6-month-low lookback (~180 bars).
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const fs = require('node:fs');
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const path = require('node:path');
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const wickra = require('wickra');
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const FEE = 0.001;
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const BB_PERIOD = 20;
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const BB_K = 2.0;
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const ATR_PERIOD = 14;
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const ATR_STOP_MULT = 2.0;
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const SQUEEZE_LOOKBACK = 180;
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const DEFAULT_CSV = path.join(__dirname, '..', 'data', 'btcusdt-1d.csv');
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function loadCandles(csvPath) {
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// Native CandleReader: validates the header, tolerates a UTF-8 BOM and field
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// whitespace, and throws on a malformed row. Yields { open, high, low, close,
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// volume, timestamp } objects.
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const text = fs.readFileSync(csvPath, 'utf8');
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return new wickra.CandleReader(text).read();
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}
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function signed(value, digits) {
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return (value >= 0 ? '+' : '') + value.toFixed(digits);
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}
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function printSummary(name, firstPrice, lastPrice, bars, closedTrades, finalEquity, equityCurve) {
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const buyHold = lastPrice / firstPrice;
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const stratReturn = finalEquity - 1.0;
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const bhReturn = buyHold - 1.0;
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const wins = closedTrades.filter((r) => r > 0).length;
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const losses = closedTrades.filter((r) => r < 0).length;
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const best = closedTrades.length ? Math.max(...closedTrades) : 0.0;
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const worst = closedTrades.length ? Math.min(...closedTrades) : 0.0;
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const n = closedTrades.length;
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const meanRet = n ? closedTrades.reduce((a, r) => a + r, 0) / n : 0.0;
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const varRet =
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n > 1 ? closedTrades.reduce((a, r) => a + (r - meanRet) ** 2, 0) / (n - 1) : 0.0;
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const stddev = Math.sqrt(varRet);
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const sharpe = varRet > 0 ? meanRet / stddev : 0.0;
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let peak = equityCurve.length ? equityCurve[0] : 1.0;
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let maxDd = 0.0;
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for (const eq of equityCurve) {
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if (eq > peak) peak = eq;
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const dd = (peak - eq) / peak;
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if (dd > maxDd) maxDd = dd;
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}
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const label = (s) => s.padEnd(23);
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console.log(`=== ${name} ===`);
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console.log(`${label('Bars:')}${bars}`);
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console.log(`${label('Trades:')}${n} (W${wins} / L${losses})`);
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console.log(`${label('Strategy return:')}${signed(stratReturn * 100, 2)}%`);
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console.log(`${label('Buy & Hold return:')}${signed(bhReturn * 100, 2)}%`);
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console.log(`${label('Excess over BH:')}${signed((stratReturn - bhReturn) * 100, 2)}%`);
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console.log(`${label('Max drawdown:')}${(maxDd * 100).toFixed(2)}%`);
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console.log(
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`${label('Per-trade Sharpe:')}${sharpe.toFixed(2)} ` +
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`(mean ${signed(meanRet, 4)}, stddev ${stddev.toFixed(4)})`,
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);
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console.log(`${label('Best / worst trade:')}${signed(best * 100, 2)}% / ${signed(worst * 100, 2)}%`);
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console.log();
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console.log(
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'NOTE: Educational example — fees, slippage, funding costs and tax effects ' +
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'are simplified or omitted. Past performance is not indicative of future results.',
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);
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}
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function main() {
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const csvPath = process.argv[2] || DEFAULT_CSV;
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let candles;
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try {
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candles = loadCandles(csvPath);
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} catch (err) {
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console.error(`error: ${err.message}`);
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process.exit(1);
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}
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if (candles.length < SQUEEZE_LOOKBACK + BB_PERIOD) {
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console.error(
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`error: dataset has only ${candles.length} bars; need at least ` +
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`${SQUEEZE_LOOKBACK + BB_PERIOD}`,
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);
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process.exit(1);
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}
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const bb = new wickra.BollingerBands(BB_PERIOD, BB_K);
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const atr = new wickra.ATR(ATR_PERIOD);
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// Rolling window of the last SQUEEZE_LOOKBACK bandwidths (Python deque(maxlen)).
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const bwWindow = [];
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let inPosition = false;
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let entryPrice = 0.0;
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let stopLevel = 0.0;
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const closedTrades = [];
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let equity = 1.0;
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const equityCurve = [];
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for (const c of candles) {
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const bbOut = bb.update(c.close);
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const atrVal = atr.update(c.high, c.low, c.close);
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const price = c.close;
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const mtm = inPosition ? equity * (price / entryPrice) : equity;
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equityCurve.push(mtm);
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if (bbOut == null || atrVal == null) continue;
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const { upper, middle, lower } = bbOut;
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const bandwidth = Math.abs(middle) > 1e-12 ? (upper - lower) / middle : NaN;
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if (Number.isNaN(bandwidth)) continue;
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bwWindow.push(bandwidth);
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if (bwWindow.length > SQUEEZE_LOOKBACK) bwWindow.shift();
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if (bwWindow.length < SQUEEZE_LOOKBACK) continue;
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const minBw = bwWindow.reduce((m, v) => (v < m ? v : m), Infinity);
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if (inPosition) {
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const stopHit = price < stopLevel;
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const upperCollapse = upper < entryPrice;
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if (stopHit || upperCollapse) {
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const tradeRet = price / entryPrice - 1.0;
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closedTrades.push(tradeRet);
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equity *= (1.0 + tradeRet) * (1.0 - FEE);
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inPosition = false;
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}
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} else {
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const isNewLow = Math.abs(bandwidth - minBw) < 1e-12;
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const breakout = price > upper;
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if (isNewLow && breakout) {
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entryPrice = price;
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stopLevel = price - ATR_STOP_MULT * atrVal;
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equity *= 1.0 - FEE;
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inPosition = true;
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}
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}
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}
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if (inPosition) {
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const lastPrice = candles[candles.length - 1].close;
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const tradeRet = lastPrice / entryPrice - 1.0;
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closedTrades.push(tradeRet);
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equity *= (1.0 + tradeRet) * (1.0 - FEE);
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}
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printSummary(
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'Bollinger Squeeze Breakout (1d, BTCUSDT)',
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candles[0].close,
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candles[candles.length - 1].close,
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candles.length,
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closedTrades,
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equity,
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equityCurve,
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);
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}
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main();
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