feat: VectorBT results dashboard with Plotly charts
Dashboard (dashboard/):
- New /api/vbt/results — list VBT backtest results with full metrics
- New /api/vbt/result/{file} — load result + equity curve (auto-decimated >500pts)
- New /api/vbt/run — run backtests on-demand from the UI
- New /api/vbt/sweep — parameter sweep as heatmap data
- New /api/vbt/strategies — list available strategy keys
- New /vbt — interactive HTML dashboard (Plotly.js):
- Equity curve chart with area fill
- Drawdown waterfall chart
- Returns distribution histogram
- Metric cards: Sharpe, Sortino, max DD, win rate, profit factor
- Strategy filter sidebar
- One-click backtest runner
- Fix BACKTEST_DIR auto-detection for local/dev paths
API verified: all 5 endpoints tested against live data
This commit is contained in:
+142
-10
@@ -27,20 +27,27 @@ from fastapi.staticfiles import StaticFiles
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from fastapi.responses import FileResponse, JSONResponse
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import sys
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sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
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# Fix BACKTEST_DIR — auto-detect local path if deployed dir doesn't exist
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_default_results = str(Path(__file__).resolve().parent.parent / "backtests" / "results")
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BACKTEST_DIR = _default_results if os.path.isdir(_default_results) else "/home/debian/ftdt-quant-lab/backtests/results"
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HISTORICAL_DIR = BACKTEST_DIR + "/historical" if os.path.isdir(BACKTEST_DIR + "/historical") else BACKTEST_DIR
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from config.fee_tiers import get_perp_fees, PERPS_TIERS, STAKING_TIERS, STRATEGY_FEE_MODELS
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from common.risk import risk_summary
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from strategies.quant_report import compute_quant_report
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# ═══════════════════════════════════════════════════════════
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# Memory guard: cap RSS at 512MB, GC-aggressive at 256MB
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# Memory guard: check RSS via /proc, force GC at 256MB,
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# log warning at 384MB, hard exit at 512MB.
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# RLIMIT_AS disabled — Python heap needs virtual headroom.
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# ═══════════════════════════════════════════════════════════
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import resource, gc, signal
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import gc, os as _os
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MEM_SOFT_LIMIT = 256 * 1024 * 1024 # 256 MB — force GC
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MEM_WARN_LIMIT = 384 * 1024 * 1024 # 384 MB — log warning
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MEM_HARD_LIMIT = 512 * 1024 * 1024 # 512 MB — terminate
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resource.setrlimit(resource.RLIMIT_AS, (MEM_HARD_LIMIT, MEM_HARD_LIMIT))
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def check_memory():
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"""Check RSS, force GC if over soft limit, raise if over hard limit."""
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try:
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@@ -51,7 +58,7 @@ def check_memory():
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rss = rss_kb * 1024
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if rss > MEM_HARD_LIMIT:
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print(f"[CRIT] RSS {rss_kb // 1024}MB > 512MB — exiting", flush=True)
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os._exit(1)
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_os._exit(1)
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if rss > MEM_SOFT_LIMIT:
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gc.collect()
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gc.collect()
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@@ -66,11 +73,8 @@ import uvicorn
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METRICS_FILE = "/tmp/ftdt-metrics.json"
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PAPER_METRICS_FILE = "/tmp/ftdt-paper-metrics.json"
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BACKTEST_DIR = "/home/debian/ftdt-quant-lab/backtests/results"
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HISTORICAL_DIR = "/home/debian/ftdt-quant-lab/backtests/results/historical"
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STATIC_DIR = Path(__file__).parent / "static"
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# Ensure backtest dir exists
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os.makedirs(BACKTEST_DIR, exist_ok=True)
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# ═══════════════════════════════════════════════════════════
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@@ -235,8 +239,11 @@ async def list_backtests():
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@app.get("/api/backtest/{name}")
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async def get_backtest(name: str):
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"""Get full backtest result data."""
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fpath = os.path.join(BACKTEST_DIR, f"{name}.json")
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"""Get full backtest result data — checks historical dir first."""
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# Try historical subdirectory first (where dashboard saves backtests)
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fpath = os.path.join(HISTORICAL_DIR, f"{name}.json")
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if not os.path.exists(fpath):
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fpath = os.path.join(BACKTEST_DIR, f"{name}.json")
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if os.path.exists(fpath):
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with open(fpath) as f:
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return JSONResponse(json.load(f))
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@@ -451,6 +458,126 @@ async def get_risk_metrics():
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"correlation_matrix": corr,
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})
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# ═══════════════════════════════════════════════════════════
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# VBT Dashboard API — VectorBT backtest results browser
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# ═══════════════════════════════════════════════════════════
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@app.get("/api/vbt/results")
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async def list_vbt_results(strategy: str = "", limit: int = 50):
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"""List VectorBT backtest results with full metrics."""
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results = []
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for d in [BACKTEST_DIR, HISTORICAL_DIR]:
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if not os.path.isdir(d):
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continue
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for fname in sorted(os.listdir(d), reverse=True):
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if not fname.endswith(".json"):
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continue
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if strategy and strategy not in fname:
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continue
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fpath = os.path.join(d, fname)
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try:
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with open(fpath) as f:
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data = json.load(f)
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results.append({
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"filename": fname,
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"strategy": data.get("strategy", "unknown"),
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"engine": data.get("engine", "vectorbt"),
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"interval": data.get("interval", "1h"),
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"sharpe": data.get("sharpe", 0),
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"sortino": data.get("sortino", 0),
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"total_return_pct": data.get("total_return_pct", 0),
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"max_drawdown_pct": data.get("max_drawdown_pct", 0),
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"win_rate": data.get("win_rate", 0),
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"profit_factor": data.get("profit_factor", 0),
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"total_trades": data.get("total_trades", 0),
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"n_bars": data.get("n_bars", 0),
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"generated_at": data.get("generated_at", ""),
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"has_equity_curve": bool(data.get("equity_curve")),
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})
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except (json.JSONDecodeError, IOError):
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pass
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if len(results) >= limit:
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break
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results.sort(key=lambda r: r.get("generated_at", ""), reverse=True)
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return JSONResponse(results[:limit])
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@app.get("/api/vbt/result/{filename}")
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async def get_vbt_result(filename: str):
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"""Get full VBT backtest result including equity curve."""
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for d in [BACKTEST_DIR, HISTORICAL_DIR]:
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fpath = os.path.join(d, filename)
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if os.path.exists(fpath):
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with open(fpath) as f:
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data = json.load(f)
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# Ensure equity curve is compact for transport
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ec = data.get("equity_curve", [])
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if ec and len(ec) > 500:
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step = len(ec) // 500
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data["equity_curve"] = ec[::step]
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return JSONResponse(data)
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return JSONResponse({"error": "not found"}, status_code=404)
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@app.get("/api/vbt/run")
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async def run_vbt_backtest(
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strategy: str = "pairs",
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interval: str = "1h",
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limit: int = 500,
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testnet: bool = False,
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):
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"""Run a new VectorBT backtest and return results."""
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try:
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from backtests.vbt_runner import VBTBacktestRunner
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runner = VBTBacktestRunner()
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from datetime import datetime
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ts = datetime.now().strftime("%Y%m%d-%H%M%S")
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result = runner.run_strategy(
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strategy=strategy, interval=interval, testnet=testnet, limit=limit
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)
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if result:
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fname = f"{strategy}_vbt_{ts}.json"
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fpath = os.path.join(BACKTEST_DIR, fname)
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with open(fpath, "w") as f:
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json.dump(result, f, default=str)
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result["filename"] = fname
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return JSONResponse(result)
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return JSONResponse({"error": "no results generated"}, status_code=500)
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except Exception as e:
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return JSONResponse({"error": str(e)}, status_code=500)
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@app.get("/api/vbt/sweep")
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async def run_vbt_sweep(strategy: str = "pairs"):
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"""Run parameter sweep and return heatmap data."""
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try:
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from backtests.vbt_runner import VBTBacktestRunner
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runner = VBTBacktestRunner()
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df = runner.param_sweep(strategy=strategy)
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if df is not None and not df.empty:
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rows = df.to_dict(orient="records")
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return JSONResponse({
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"strategy": strategy,
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"results": rows,
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"best": max(rows, key=lambda r: r.get("sharpe", -999)),
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})
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return JSONResponse({"error": "no sweep results"}, status_code=500)
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except Exception as e:
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return JSONResponse({"error": str(e)}, status_code=500)
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@app.get("/api/vbt/strategies")
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async def list_vbt_strategies():
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"""List available strategies for VBT backtesting."""
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return JSONResponse([
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{"key": "pairs", "name": "Pairs Trading", "coins": ["BTC", "ETH"]},
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{"key": "hurst_vpin", "name": "Hurst VPIN", "coins": ["BTC"]},
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{"key": "as_mm", "name": "Avellaneda-Stoikov MM", "coins": ["BTC"]},
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{"key": "momentum", "name": "Momentum Breakout", "coins": ["BTC"]},
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{"key": "mean_rev", "name": "Mean Reversion", "coins": ["BTC"]},
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])
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# ═══════════════════════════════════════════════════════════
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# Static
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# ═══════════════════════════════════════════════════════════
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@@ -460,6 +587,11 @@ async def root():
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return FileResponse(STATIC_DIR / "index.html")
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@app.get("/vbt")
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async def vbt_dashboard():
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return FileResponse(STATIC_DIR / "vbt.html")
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app.mount("/static", StaticFiles(directory=str(STATIC_DIR)), name="static")
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