feat: initial commit - EvoTraders project
量化交易多智能体系统，包含： - 分析师、投资组合经理、风险经理等智能体 - 股票分析、投资组合管理、风险控制工具 - React 前端界面 - FastAPI 后端服务 Co-Authored-By: Claude <noreply@anthropic.com>
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263
backend/core/scheduler.py
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263
backend/core/scheduler.py
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# -*- coding: utf-8 -*-
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"""
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Scheduler - Market-aware trigger system for trading cycles
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"""
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import asyncio
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import logging
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from datetime import datetime, timedelta
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from typing import Any, Callable, Optional
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from zoneinfo import ZoneInfo
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import pandas_market_calendars as mcal
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logger = logging.getLogger(__name__)
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# NYSE timezone for US stock trading
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NYSE_TZ = ZoneInfo("America/New_York")
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NYSE_CALENDAR = mcal.get_calendar("NYSE")
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class Scheduler:
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"""
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Market-aware scheduler for live trading.
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Uses NYSE timezone and trading calendar.
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"""
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def __init__(
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self,
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mode: str = "daily",
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trigger_time: Optional[str] = None,
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interval_minutes: Optional[int] = None,
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config: Optional[dict] = None,
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):
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self.mode = mode
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self.trigger_time = trigger_time or "09:30" # NYSE timezone
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self.trigger_now = self.trigger_time == "now"
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self.interval_minutes = interval_minutes or 60
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self.config = config or {}
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self.running = False
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self._task: Optional[asyncio.Task] = None
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def _now_nyse(self) -> datetime:
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"""Get current time in NYSE timezone"""
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return datetime.now(NYSE_TZ)
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def _is_trading_day(self, date: datetime) -> bool:
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"""Check if date is a NYSE trading day"""
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date_str = date.strftime("%Y-%m-%d")
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valid_days = NYSE_CALENDAR.valid_days(
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start_date=date_str,
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end_date=date_str,
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)
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return len(valid_days) > 0
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def _next_trading_day(self, from_date: datetime) -> datetime:
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"""Find the next trading day from given date"""
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check_date = from_date
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for _ in range(10): # Max 10 days ahead (handles holidays)
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if self._is_trading_day(check_date):
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return check_date
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check_date += timedelta(days=1)
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return check_date
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async def start(self, callback: Callable):
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"""Start scheduler"""
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if self.running:
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logger.warning("Scheduler already running")
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return
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self.running = True
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if self.mode == "daily":
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self._task = asyncio.create_task(self._run_daily(callback))
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elif self.mode == "intraday":
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self._task = asyncio.create_task(self._run_intraday(callback))
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else:
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raise ValueError(f"Unknown scheduler mode: {self.mode}")
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logger.info(
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f"Scheduler started: mode={self.mode}, timezone=America/New_York",
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)
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async def _run_daily(self, callback: Callable):
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"""Run once per trading day at specified time (NYSE timezone)"""
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first_run = True
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while self.running:
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now = self._now_nyse()
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# Handle "now" trigger - run immediately on first iteration
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if self.trigger_now and first_run:
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first_run = False
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current_date = now.strftime("%Y-%m-%d")
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logger.info(f"Triggering immediately for {current_date}")
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await callback(date=current_date)
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# After immediate run, stop (one-shot mode)
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self.running = False
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break
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target_time = datetime.strptime(self.trigger_time, "%H:%M").time()
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# Calculate next trigger datetime
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if now.time() < target_time:
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next_run = now.replace(
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hour=target_time.hour,
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minute=target_time.minute,
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second=0,
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microsecond=0,
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)
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else:
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next_run = (now + timedelta(days=1)).replace(
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hour=target_time.hour,
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minute=target_time.minute,
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second=0,
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microsecond=0,
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)
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# Skip to next trading day
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next_run = self._next_trading_day(next_run)
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next_run = next_run.replace(
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hour=target_time.hour,
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minute=target_time.minute,
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second=0,
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microsecond=0,
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)
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wait_seconds = (next_run - now).total_seconds()
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logger.info(
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f"Next trigger: {next_run.strftime('%Y-%m-%d %H:%M %Z')} "
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f"(in {wait_seconds/3600:.1f} hours)",
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)
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await asyncio.sleep(wait_seconds)
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current_date = self._now_nyse().strftime("%Y-%m-%d")
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logger.info(f"Triggering daily cycle for {current_date}")
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await callback(date=current_date)
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async def _run_intraday(self, callback: Callable):
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"""Run every N minutes (for future use)"""
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while self.running:
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now = self._now_nyse()
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current_date = now.strftime("%Y-%m-%d")
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if self._is_trading_day(now):
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logger.info(f"Triggering intraday cycle for {current_date}")
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await callback(date=current_date)
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await asyncio.sleep(self.interval_minutes * 60)
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def stop(self):
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"""Stop scheduler"""
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self.running = False
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if self._task:
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self._task.cancel()
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self._task = None
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logger.info("Scheduler stopped")
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class BacktestScheduler:
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"""Backtest Scheduler - Runs through historical trading dates"""
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def __init__(
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self,
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start_date: str,
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end_date: str,
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trading_calendar: Optional[Any] = None,
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delay_between_days: float = 0.1,
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):
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self.start_date = start_date
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self.end_date = end_date
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self.trading_calendar = trading_calendar
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self.delay_between_days = delay_between_days
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self.running = False
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self._task: Optional[asyncio.Task] = None
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self._dates: list = []
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def get_trading_dates(self) -> list:
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"""Get list of trading dates in the backtest period"""
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import pandas as pd
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start = pd.to_datetime(self.start_date)
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end = pd.to_datetime(self.end_date)
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if self.trading_calendar:
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calendar = mcal.get_calendar(self.trading_calendar)
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trading_dates = calendar.valid_days(
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start_date=self.start_date,
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end_date=self.end_date,
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)
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dates = [d.strftime("%Y-%m-%d") for d in trading_dates]
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else:
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all_dates = pd.date_range(start=start, end=end, freq="D")
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dates = [
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d.strftime("%Y-%m-%d") for d in all_dates if d.weekday() < 5
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]
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self._dates = dates
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return dates
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async def start(self, callback: Callable):
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"""Start async backtest scheduler"""
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if self.running:
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logger.warning("Backtest scheduler already running")
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return
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self.running = True
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dates = self.get_trading_dates()
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logger.info(
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f"Starting backtest: {self.start_date} to {self.end_date} "
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f"({len(dates)} trading days)",
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)
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self._task = asyncio.create_task(self._run_async(callback, dates))
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async def _run_async(self, callback: Callable, dates: list):
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"""Run backtest asynchronously"""
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for i, date in enumerate(dates, 1):
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if not self.running:
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break
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logger.info(f"[{i}/{len(dates)}] Processing {date}")
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await callback(date=date)
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if self.delay_between_days > 0:
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await asyncio.sleep(self.delay_between_days)
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logger.info("Backtest complete")
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self.running = False
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def run(self, callback: Callable, **kwargs):
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"""Run backtest synchronously through all trading dates"""
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dates = self.get_trading_dates()
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results = []
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logger.info(
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f"Starting backtest: {self.start_date} to {self.end_date} "
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f"({len(dates)} trading days)",
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)
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for i, date in enumerate(dates, 1):
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logger.info(f"[{i}/{len(dates)}] Processing {date}")
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result = callback(date=date, **kwargs)
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results.append({"date": date, "result": result})
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logger.info("Backtest complete")
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return results
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def stop(self):
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"""Stop backtest scheduler"""
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self.running = False
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if self._task:
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self._task.cancel()
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self._task = None
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logger.info("Backtest scheduler stopped")
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def get_total_days(self) -> int:
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"""Get total number of trading days"""
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if not self._dates:
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self.get_trading_dates()
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return len(self._dates)
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