XRP-Datenanalyse: nie enge Ranges, breite Bänder → No-Stop-Design. OOS-PF 2.0-2.74, Volldurchlauf +49% bei 10% MaxDD. Gate formal ❌ (Worst-Window + Ratio), Tail-Risiko dokumentiert. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
120 lines
4.8 KiB
TypeScript
120 lines
4.8 KiB
TypeScript
import { PAIRS, type Candle, type Pair } from '../types';
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import { getCandles, getCoverage } from '../market/candle-store';
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import { buildWindows, aggregateOos } from '../backtest/walkforward';
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import { runGridBacktest, DEFAULT_GRID_PARAMS, type GridConfig } from '../backtest/grid';
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import { computeMetrics } from '../backtest/metrics';
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import { DEFAULT_EXEC } from '../engine/portfolio';
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import { db, sql } from '../db/client';
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import { backtestRuns } from '../db/schema';
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// --- Feste A-priori-Parameter (kein Grid-Search; Varianten nur als bewusste
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// Design-Entscheidung via CLI: --spacing 1.5 --levels 4 --adx 15) ---
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function argNum(flag: string, def: number): number {
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const i = process.argv.indexOf(flag);
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return i >= 0 ? Number(process.argv[i + 1]) : def;
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}
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const PARAMS = {
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...DEFAULT_GRID_PARAMS, // spacing 1×ATR, 4 Levels, ADX < 20, tf 4h
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spacingAtrMult: argNum('--spacing', DEFAULT_GRID_PARAMS.spacingAtrMult),
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gridLevels: argNum('--levels', DEFAULT_GRID_PARAMS.gridLevels),
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adxMax: argNum('--adx', DEFAULT_GRID_PARAMS.adxMax),
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tfMs: argNum('--tf', DEFAULT_GRID_PARAMS.tfMs / 60000) * 60000, // Minuten
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hardStop: !process.argv.includes('--no-stop'),
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};
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const ONLY_PAIR = (() => {
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const i = process.argv.indexOf('--pair');
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return i >= 0 ? (process.argv[i + 1] as Pair) : null;
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})();
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const START_CAPITAL = 1000;
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const EXEC = DEFAULT_EXEC;
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const MIN_NOTIONAL = 10;
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const candles15ByPair = new Map<Pair, Candle[]>();
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let dataFrom = 0;
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let dataTo = Number.MAX_SAFE_INTEGER;
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for (const pair of PAIRS) {
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if (ONLY_PAIR && pair !== ONLY_PAIR) continue;
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const cov = await getCoverage(pair);
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if (!cov.from || !cov.to) throw new Error(`Keine Candles für ${pair} — erst 'bun run backfill' ausführen.`);
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candles15ByPair.set(pair, await getCandles(pair));
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dataFrom = Math.max(dataFrom, cov.from.getTime());
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dataTo = Math.min(dataTo, cov.to.getTime());
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console.log(`${pair}: ${cov.count} Candles (${cov.from.toISOString()} → ${cov.to.toISOString()})`);
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}
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console.log(`\nATR-Grid (fix: spacing ${PARAMS.spacingAtrMult}×ATR, ${PARAMS.gridLevels} Levels, ADX < ${PARAMS.adxMax}, tf ${PARAMS.tfMs / 60000}m, ${PARAMS.hardStop ? 'hard-stop' : 'NO-STOP'}${ONLY_PAIR ? ', nur ' + ONLY_PAIR : ''}, long-only)`);
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console.log(`Walk-Forward über ${((dataTo - dataFrom) / 86400000).toFixed(0)} Tage…\n`);
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const windows = buildWindows(dataFrom, dataTo);
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type WindowResult = {
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window: { trainFrom: number; trainTo: number; testFrom: number; testTo: number };
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trainMetrics: ReturnType<typeof computeMetrics>;
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testMetrics: ReturnType<typeof computeMetrics>;
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testTrades: import('../engine/portfolio').ClosedTrade[];
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testEquityCurve: import('../backtest/metrics').EquityPoint[];
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};
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const results: WindowResult[] = [];
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for (const [wi, w] of windows.entries()) {
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const mkCfg = (tradeFrom: number, tradeTo: number): GridConfig => ({
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startCapital: START_CAPITAL,
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exec: EXEC,
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params: PARAMS,
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minNotionalUsdt: MIN_NOTIONAL,
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tradeFrom,
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tradeTo,
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});
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const trainResult = runGridBacktest(candles15ByPair, mkCfg(w.trainFrom, w.trainTo));
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const trainMetrics = computeMetrics(trainResult.trades, trainResult.equityCurve, START_CAPITAL);
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const testResult = runGridBacktest(candles15ByPair, mkCfg(w.testFrom, w.testTo));
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const testMetrics = computeMetrics(testResult.trades, testResult.equityCurve, START_CAPITAL);
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results.push({
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window: w,
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trainMetrics,
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testMetrics,
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testTrades: testResult.trades,
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testEquityCurve: testResult.equityCurve,
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});
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console.log(
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`Fenster ${wi + 1}/${windows.length}: Train-PF ${trainMetrics.profitFactor.toFixed(2)} ` +
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`→ Test-PF ${testMetrics.profitFactor.toFixed(2)} bei ${testMetrics.trades} Trades`,
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);
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}
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const { oosMetrics, oosEquityCurve, gate } = aggregateOos(results, START_CAPITAL);
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console.log('\n========== OOS-GESAMTERGEBNIS ==========');
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const m = oosMetrics;
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console.log(`Trades: ${m.trades} | WinRate: ${(m.winRate * 100).toFixed(1)}% | PF: ${m.profitFactor.toFixed(2)}`);
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console.log(`TotalPnl: ${m.totalPnl.toFixed(2)} USDT | MaxDD: ${(m.maxDrawdownPct * 100).toFixed(1)}% | AvgR: ${m.avgR.toFixed(2)}`);
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console.log('\n========== DEPLOY-GATE ==========');
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for (const c of gate.checks) {
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console.log(`${c.pass ? '✅' : '❌'} ${c.name}: ${Number.isFinite(c.value) ? c.value.toFixed(2) : c.value}`);
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}
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console.log(`\n→ GATE ${gate.pass ? 'BESTANDEN' : 'NICHT BESTANDEN'}`);
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await db.insert(backtestRuns).values({
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kind: 'grid-walkforward',
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config: { startCapital: START_CAPITAL, exec: EXEC, params: PARAMS, minNotionalUsdt: MIN_NOTIONAL } as any,
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result: {
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gate,
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oosMetrics,
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oosEquityCurve,
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windows: results.map((r) => ({
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window: r.window,
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trainMetrics: r.trainMetrics,
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testMetrics: r.testMetrics,
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})),
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} as any,
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});
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console.log('Run in backtest_runs gespeichert.');
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await sql.end();
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