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.
119 lines
3.8 KiB
JavaScript
119 lines
3.8 KiB
JavaScript
// Multi-timeframe indicators with the Wickra Node binding.
|
|
//
|
|
// Reads the bundled 1-minute BTCUSDT CSV (or a path passed on the command
|
|
// line), rolls it up to coarser timeframes (5m / 15m / 1h / 4h / 1d) and
|
|
// prints the last RSI(14), MACD(12,26,9) histogram and ADX(14) on each.
|
|
// Mirrors examples/python/multi_timeframe.py — wickra-data's Resampler is
|
|
// only exposed in Rust today, so the roll-up is computed inline here.
|
|
//
|
|
// Run with:
|
|
// node examples/node/multi_timeframe.js [path/to/1m.csv]
|
|
|
|
const fs = require('node:fs');
|
|
const path = require('node:path');
|
|
|
|
const wickra = require('wickra');
|
|
|
|
const DEFAULT_CSV = path.join(__dirname, '..', 'data', 'btcusdt-1m.csv');
|
|
const ONE_MINUTE_MS = 60_000;
|
|
|
|
function readCsv(csvPath) {
|
|
// Native CandleReader: header validation, BOM/whitespace tolerance, throws on
|
|
// a malformed row.
|
|
const text = fs.readFileSync(csvPath, 'utf8');
|
|
const candles = new wickra.CandleReader(text).read();
|
|
if (candles.length === 0) {
|
|
throw new Error(`${csvPath}: CSV has a header but no data rows`);
|
|
}
|
|
const cols = { timestamp: [], open: [], high: [], low: [], close: [], volume: [] };
|
|
for (const k of candles) {
|
|
cols.timestamp.push(k.timestamp);
|
|
cols.open.push(k.open);
|
|
cols.high.push(k.high);
|
|
cols.low.push(k.low);
|
|
cols.close.push(k.close);
|
|
cols.volume.push(k.volume);
|
|
}
|
|
return cols;
|
|
}
|
|
|
|
function resample(cols, bucketMs) {
|
|
if (cols.timestamp.length === 0) {
|
|
throw new Error('resample: empty input series');
|
|
}
|
|
// Native Resampler — no hand-written bucketing. update() emits a closed candle
|
|
// when a bucket boundary is crossed; flush() yields the final partial bucket.
|
|
const r = new wickra.Resampler(bucketMs);
|
|
const out = { timestamp: [], open: [], high: [], low: [], close: [], volume: [] };
|
|
const push = (k) => {
|
|
out.timestamp.push(k.timestamp);
|
|
out.open.push(k.open);
|
|
out.high.push(k.high);
|
|
out.low.push(k.low);
|
|
out.close.push(k.close);
|
|
out.volume.push(k.volume);
|
|
};
|
|
for (let i = 0; i < cols.timestamp.length; i++) {
|
|
const k = r.update(cols.open[i], cols.high[i], cols.low[i], cols.close[i], cols.volume[i], cols.timestamp[i]);
|
|
if (k !== null) push(k);
|
|
}
|
|
const last = r.flush();
|
|
if (last !== null) push(last);
|
|
return out;
|
|
}
|
|
|
|
function summarize(label, cols) {
|
|
if (cols.close.length === 0) {
|
|
console.log(` ${label.padEnd(5)} (empty)`);
|
|
return;
|
|
}
|
|
const rsi = new wickra.RSI(14);
|
|
const macd = new wickra.MACD(12, 26, 9);
|
|
const adx = new wickra.ADX(14);
|
|
|
|
let lastRsi = null;
|
|
let lastHist = null;
|
|
let lastAdx = null;
|
|
for (let i = 0; i < cols.close.length; i++) {
|
|
const r = rsi.update(cols.close[i]);
|
|
if (r !== null) lastRsi = r;
|
|
const m = macd.update(cols.close[i]);
|
|
if (m) lastHist = m.histogram;
|
|
const a = adx.update(cols.high[i], cols.low[i], cols.close[i]);
|
|
if (a) lastAdx = a.adx;
|
|
}
|
|
const lastClose = cols.close[cols.close.length - 1];
|
|
const fmtR = lastRsi === null ? ' --' : lastRsi.toFixed(2).padStart(6);
|
|
const fmtH = lastHist === null ? ' -- ' : `${lastHist >= 0 ? '+' : ''}${lastHist.toFixed(2)}`.padStart(6);
|
|
const fmtA = lastAdx === null ? ' --' : lastAdx.toFixed(2).padStart(6);
|
|
console.log(
|
|
` ${label.padEnd(5)} bars=${String(cols.close.length).padStart(5)} ` +
|
|
`last_close=${lastClose.toFixed(2).padStart(10)} ` +
|
|
`rsi=${fmtR} macd_hist=${fmtH} adx=${fmtA}`,
|
|
);
|
|
}
|
|
|
|
function main() {
|
|
const csvPath = process.argv[2] || DEFAULT_CSV;
|
|
let cols;
|
|
try {
|
|
cols = readCsv(csvPath);
|
|
} catch (err) {
|
|
console.error(`error: ${err.message}`);
|
|
process.exit(1);
|
|
}
|
|
console.log(`Multi-timeframe view of ${csvPath}`);
|
|
summarize('1m', cols);
|
|
for (const [label, mins] of [
|
|
['5m', 5],
|
|
['15m', 15],
|
|
['1h', 60],
|
|
['4h', 240],
|
|
['1d', 1440],
|
|
]) {
|
|
summarize(label, resample(cols, mins * ONE_MINUTE_MS));
|
|
}
|
|
}
|
|
|
|
main();
|