Files
wickra/examples/node/strategy_bollinger_squeeze.js
kingchenc 677ea37402 examples: migrate to the native data layer (drop ws/coder-websocket/jackson/jsonlite) (#316)
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.
2026-06-17 01:49:11 +02:00

179 lines
6.0 KiB
JavaScript

// Strategy example: Bollinger-Squeeze breakout with ATR-based stop.
//
// Enters long when the Bollinger Bandwidth has just printed a fresh 6-month low
// (the squeeze) and price closes above the upper band (the release). Exits when
// price closes below entry minus 2 * ATR(14), or when the upper band rolls back
// under the entry price. 0.1% fees per trade.
//
// Educational example. NOT a live trading recommendation. The Node counterpart
// of `examples/python/strategy_bollinger_squeeze.py` and the Rust
// `examples/rust/src/bin/strategy_bollinger_squeeze.rs`, printing the same
// summary.
//
// Build the native binding once, then run it:
//
// cd bindings/node && npm install && npx napi build --platform --release
// cd ../../examples/node && npm install
// node strategy_bollinger_squeeze.js
//
// Uses the checked-in `examples/data/btcusdt-1d.csv` dataset because daily bars
// give an interpretable 6-month-low lookback (~180 bars).
const fs = require('node:fs');
const path = require('node:path');
const wickra = require('wickra');
const FEE = 0.001;
const BB_PERIOD = 20;
const BB_K = 2.0;
const ATR_PERIOD = 14;
const ATR_STOP_MULT = 2.0;
const SQUEEZE_LOOKBACK = 180;
const DEFAULT_CSV = path.join(__dirname, '..', 'data', 'btcusdt-1d.csv');
function loadCandles(csvPath) {
// Native CandleReader: validates the header, tolerates a UTF-8 BOM and field
// whitespace, and throws on a malformed row. Yields { open, high, low, close,
// volume, timestamp } objects.
const text = fs.readFileSync(csvPath, 'utf8');
return new wickra.CandleReader(text).read();
}
function signed(value, digits) {
return (value >= 0 ? '+' : '') + value.toFixed(digits);
}
function printSummary(name, firstPrice, lastPrice, bars, closedTrades, finalEquity, equityCurve) {
const buyHold = lastPrice / firstPrice;
const stratReturn = finalEquity - 1.0;
const bhReturn = buyHold - 1.0;
const wins = closedTrades.filter((r) => r > 0).length;
const losses = closedTrades.filter((r) => r < 0).length;
const best = closedTrades.length ? Math.max(...closedTrades) : 0.0;
const worst = closedTrades.length ? Math.min(...closedTrades) : 0.0;
const n = closedTrades.length;
const meanRet = n ? closedTrades.reduce((a, r) => a + r, 0) / n : 0.0;
const varRet =
n > 1 ? closedTrades.reduce((a, r) => a + (r - meanRet) ** 2, 0) / (n - 1) : 0.0;
const stddev = Math.sqrt(varRet);
const sharpe = varRet > 0 ? meanRet / stddev : 0.0;
let peak = equityCurve.length ? equityCurve[0] : 1.0;
let maxDd = 0.0;
for (const eq of equityCurve) {
if (eq > peak) peak = eq;
const dd = (peak - eq) / peak;
if (dd > maxDd) maxDd = dd;
}
const label = (s) => s.padEnd(23);
console.log(`=== ${name} ===`);
console.log(`${label('Bars:')}${bars}`);
console.log(`${label('Trades:')}${n} (W${wins} / L${losses})`);
console.log(`${label('Strategy return:')}${signed(stratReturn * 100, 2)}%`);
console.log(`${label('Buy & Hold return:')}${signed(bhReturn * 100, 2)}%`);
console.log(`${label('Excess over BH:')}${signed((stratReturn - bhReturn) * 100, 2)}%`);
console.log(`${label('Max drawdown:')}${(maxDd * 100).toFixed(2)}%`);
console.log(
`${label('Per-trade Sharpe:')}${sharpe.toFixed(2)} ` +
`(mean ${signed(meanRet, 4)}, stddev ${stddev.toFixed(4)})`,
);
console.log(`${label('Best / worst trade:')}${signed(best * 100, 2)}% / ${signed(worst * 100, 2)}%`);
console.log();
console.log(
'NOTE: Educational example — fees, slippage, funding costs and tax effects ' +
'are simplified or omitted. Past performance is not indicative of future results.',
);
}
function main() {
const csvPath = process.argv[2] || DEFAULT_CSV;
let candles;
try {
candles = loadCandles(csvPath);
} catch (err) {
console.error(`error: ${err.message}`);
process.exit(1);
}
if (candles.length < SQUEEZE_LOOKBACK + BB_PERIOD) {
console.error(
`error: dataset has only ${candles.length} bars; need at least ` +
`${SQUEEZE_LOOKBACK + BB_PERIOD}`,
);
process.exit(1);
}
const bb = new wickra.BollingerBands(BB_PERIOD, BB_K);
const atr = new wickra.ATR(ATR_PERIOD);
// Rolling window of the last SQUEEZE_LOOKBACK bandwidths (Python deque(maxlen)).
const bwWindow = [];
let inPosition = false;
let entryPrice = 0.0;
let stopLevel = 0.0;
const closedTrades = [];
let equity = 1.0;
const equityCurve = [];
for (const c of candles) {
const bbOut = bb.update(c.close);
const atrVal = atr.update(c.high, c.low, c.close);
const price = c.close;
const mtm = inPosition ? equity * (price / entryPrice) : equity;
equityCurve.push(mtm);
if (bbOut == null || atrVal == null) continue;
const { upper, middle, lower } = bbOut;
const bandwidth = Math.abs(middle) > 1e-12 ? (upper - lower) / middle : NaN;
if (Number.isNaN(bandwidth)) continue;
bwWindow.push(bandwidth);
if (bwWindow.length > SQUEEZE_LOOKBACK) bwWindow.shift();
if (bwWindow.length < SQUEEZE_LOOKBACK) continue;
const minBw = bwWindow.reduce((m, v) => (v < m ? v : m), Infinity);
if (inPosition) {
const stopHit = price < stopLevel;
const upperCollapse = upper < entryPrice;
if (stopHit || upperCollapse) {
const tradeRet = price / entryPrice - 1.0;
closedTrades.push(tradeRet);
equity *= (1.0 + tradeRet) * (1.0 - FEE);
inPosition = false;
}
} else {
const isNewLow = Math.abs(bandwidth - minBw) < 1e-12;
const breakout = price > upper;
if (isNewLow && breakout) {
entryPrice = price;
stopLevel = price - ATR_STOP_MULT * atrVal;
equity *= 1.0 - FEE;
inPosition = true;
}
}
}
if (inPosition) {
const lastPrice = candles[candles.length - 1].close;
const tradeRet = lastPrice / entryPrice - 1.0;
closedTrades.push(tradeRet);
equity *= (1.0 + tradeRet) * (1.0 - FEE);
}
printSummary(
'Bollinger Squeeze Breakout (1d, BTCUSDT)',
candles[0].close,
candles[candles.length - 1].close,
candles.length,
closedTrades,
equity,
equityCurve,
);
}
main();