feat: add selectable daily backtest cadence
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"""Run the four production cadence/lockdown arms on one offline snapshot.
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The command executes the complete backtest once weekly and once daily. Each
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backtest contains two otherwise identical live-policy portfolio arms: no
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post-stop lockdown and the production five-session lockdown. It writes both
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full reports plus one compact four-arm comparison report.
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"""
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from __future__ import annotations
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import argparse
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import asyncio
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import json
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import os
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import sys
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from datetime import datetime
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from pathlib import Path
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from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker, create_async_engine
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ROOT = Path(__file__).resolve().parents[1]
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if str(ROOT) not in sys.path:
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sys.path.insert(0, str(ROOT))
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def _parse_args() -> argparse.Namespace:
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument(
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"snapshot",
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help="SQLite snapshot created by scripts/create_backtest_snapshot.py.",
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)
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parser.add_argument(
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"--out-dir",
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default="reports",
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help="Directory for the weekly, daily, and comparison JSON reports.",
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)
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parser.add_argument(
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"--prefix",
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default=None,
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help="Output prefix. Defaults to backtest-cadence-<timestamp>.",
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)
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parser.add_argument(
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"--workers",
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type=int,
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default=None,
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help="Override worker count; on a powerful offline PC use CPU count minus one.",
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)
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parser.add_argument(
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"--allow-spawn",
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action="store_true",
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help="Enable multiprocessing spawn for the offline Windows run.",
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)
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parser.add_argument("--quiet", action="store_true", help="Hide ticker progress.")
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return parser.parse_args()
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def _sqlite_url(path: Path) -> str:
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return f"sqlite+aiosqlite:///{path.resolve().as_posix()}"
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def _write_json(path: Path, payload: dict) -> None:
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path.write_text(json.dumps(payload, indent=2) + "\n", encoding="utf-8")
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def _comparison_arms(report: dict) -> list[dict]:
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comparison = report.get("production_cadence_comparison") or {}
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arms = list(comparison.get("arms") or [])
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if len(arms) != 2:
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cadence = (report.get("params") or {}).get("entry_cadence", "unknown")
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raise RuntimeError(
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f"Expected two live comparison arms for {cadence}; found {len(arms)}"
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)
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return arms
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def _print_arm(row: dict) -> None:
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print(
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f" {row['arm']}: Sharpe {row.get('sharpe')}, "
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f"CAGR {row.get('cagr_pct')}%, DD {row.get('max_drawdown_pct')}%, "
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f"trades {row.get('trades')}, skipped cooldown {row.get('skipped_cooldown', 0)}"
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)
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async def _main() -> None:
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args = _parse_args()
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snapshot = Path(args.snapshot)
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if not snapshot.exists():
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raise SystemExit(f"Snapshot not found: {snapshot}")
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os.environ["BACKTEST_SNAPSHOT_OFFLINE"] = "1"
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if args.allow_spawn:
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os.environ["BACKTEST_ALLOW_SPAWN"] = "1"
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from app.config import settings
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from app.services.backtest_service import run_backtest
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if args.workers is not None:
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settings.backtest_workers = args.workers
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out_dir = Path(args.out_dir)
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out_dir.mkdir(parents=True, exist_ok=True)
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prefix = args.prefix or f"backtest-cadence-{datetime.now():%Y%m%d-%H%M%S}"
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engine = create_async_engine(_sqlite_url(snapshot), pool_pre_ping=True)
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Session = async_sessionmaker(engine, class_=AsyncSession, expire_on_commit=False)
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reports: dict[str, dict] = {}
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try:
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async with Session() as db:
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for cadence in ("weekly", "daily"):
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last_progress: tuple[int, int] | None = None
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def progress(done: int, total: int, symbol: str) -> None:
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nonlocal last_progress
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if args.quiet or last_progress == (done, total):
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return
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last_progress = (done, total)
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label = f" {symbol}" if symbol else ""
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print(
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f"{cadence} progress: {done}/{total}{label}",
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end="\r",
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)
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reports[cadence] = await run_backtest(
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db,
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progress_cb=progress,
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target_model="production_gtl",
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cadence=cadence,
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)
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if not args.quiet:
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print("")
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_write_json(out_dir / f"{prefix}-{cadence}.json", reports[cadence])
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finally:
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await engine.dispose()
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arms = [
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*_comparison_arms(reports["weekly"]),
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*_comparison_arms(reports["daily"]),
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]
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expected = {
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"prod_live_setup_weekly",
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"prod_live_setup_daily",
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"cooldown_5_weekly",
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"cooldown_5_daily",
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}
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if {row.get("arm") for row in arms} != expected:
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raise RuntimeError("The generated cadence report does not contain all four arms")
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arm_order = {
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"prod_live_setup_weekly": 0,
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"prod_live_setup_daily": 1,
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"cooldown_5_weekly": 2,
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"cooldown_5_daily": 3,
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}
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arms.sort(key=lambda row: arm_order[str(row["arm"])])
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comparison = {
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"generated_at": datetime.now().astimezone().isoformat(),
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"snapshot": str(snapshot.resolve()),
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"target_model": "production_gtl",
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"arms": arms,
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"full_reports": {
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cadence: str((out_dir / f"{prefix}-{cadence}.json").resolve())
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for cadence in ("weekly", "daily")
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},
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"note": (
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"All four arms use the same snapshot, activation settings, target model, "
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"live Admin exit policy, fees, sizing, and portfolio constraints. Within "
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"each cadence pair, only the five-session post-stop lockdown differs."
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),
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}
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comparison_path = out_dir / f"{prefix}-comparison.json"
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_write_json(comparison_path, comparison)
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print(f"Comparison written: {comparison_path}")
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for row in arms:
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_print_arm(row)
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if __name__ == "__main__":
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asyncio.run(_main())
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