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외화 예수금만 반영하는 ord_psbl_frcr_amt 대신 미결제 매도 대금(sll_ruse_psbl_amt)을 포함하는 ovrs_ord_psbl_amt (앱 '외화' 기준 통합 주문가능금액)를 사용하도록 수정. 실제 API 응답 확인: ord_psbl_frcr_amt = $139.25 (외화 예수금만) sll_ruse_psbl_amt = $7292.70 (미결제 매도 대금) ovrs_ord_psbl_amt = $7391.30 (합산, 원화 미포함) 원화 환산(frcr_ord_psbl_amt1)은 요구사항에 따라 사용하지 않음. 출처: KIS 공식문서(20260221) '해외주식 매수가능금액조회' 시트. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
3092 lines
126 KiB
Python
3092 lines
126 KiB
Python
"""The Ouroboros — main trading loop.
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Orchestrates the broker, brain, and risk manager into a continuous
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trading cycle with configurable intervals.
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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 logging
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import signal
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import threading
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from datetime import UTC, datetime
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from typing import Any
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from src.analysis.smart_scanner import ScanCandidate, SmartVolatilityScanner
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from src.analysis.volatility import VolatilityAnalyzer
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from src.brain.context_selector import ContextSelector
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from src.brain.gemini_client import GeminiClient, TradeDecision
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from src.broker.kis_api import KISBroker, kr_round_down
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from src.broker.overseas import OverseasBroker
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from src.config import Settings
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from src.context.aggregator import ContextAggregator
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from src.context.layer import ContextLayer
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from src.context.scheduler import ContextScheduler
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from src.context.store import ContextStore
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from src.core.criticality import CriticalityAssessor
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from src.core.priority_queue import PriorityTaskQueue
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from src.core.risk_manager import CircuitBreakerTripped, FatFingerRejected, RiskManager
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from src.db import (
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get_latest_buy_trade,
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get_open_position,
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get_recent_symbols,
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init_db,
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log_trade,
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)
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from src.evolution.daily_review import DailyReviewer
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from src.evolution.optimizer import EvolutionOptimizer
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from src.logging.decision_logger import DecisionLogger
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from src.logging_config import setup_logging
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from src.markets.schedule import MARKETS, MarketInfo, get_next_market_open, get_open_markets
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from src.notifications.telegram_client import NotificationFilter, TelegramClient, TelegramCommandHandler
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from src.strategy.models import DayPlaybook, MarketOutlook
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from src.strategy.playbook_store import PlaybookStore
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from src.strategy.pre_market_planner import PreMarketPlanner
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from src.strategy.scenario_engine import ScenarioEngine
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logger = logging.getLogger(__name__)
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def safe_float(value: str | float | None, default: float = 0.0) -> float:
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"""Convert to float, handling empty strings and None.
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Args:
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value: Value to convert (string, float, or None)
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default: Default value if conversion fails
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Returns:
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Converted float or default value
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Examples:
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>>> safe_float("123.45")
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123.45
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>>> safe_float("")
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0.0
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>>> safe_float(None)
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0.0
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>>> safe_float("invalid", 99.0)
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99.0
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"""
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if value is None or value == "":
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return default
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try:
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return float(value)
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except (ValueError, TypeError):
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return default
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TRADE_INTERVAL_SECONDS = 60
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SCAN_INTERVAL_SECONDS = 60 # Scan markets every 60 seconds
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MAX_CONNECTION_RETRIES = 3
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_BUY_COOLDOWN_SECONDS = 600 # 10-minute cooldown after insufficient-balance rejection
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# Daily trading mode constants (for Free tier API efficiency)
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DAILY_TRADE_SESSIONS = 4 # Number of trading sessions per day
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TRADE_SESSION_INTERVAL_HOURS = 6 # Hours between sessions
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async def _retry_connection(coro_factory: Any, *args: Any, label: str = "", **kwargs: Any) -> Any:
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"""Call an async function retrying on ConnectionError with exponential backoff.
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Retries up to MAX_CONNECTION_RETRIES times (exclusive of the first attempt),
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sleeping 2^attempt seconds between attempts. Use only for idempotent read
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operations — never for order submission.
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Args:
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coro_factory: Async callable (method or function) to invoke.
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*args: Positional arguments forwarded to coro_factory.
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label: Human-readable label for log messages.
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**kwargs: Keyword arguments forwarded to coro_factory.
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Raises:
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ConnectionError: If all retries are exhausted.
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"""
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for attempt in range(1, MAX_CONNECTION_RETRIES + 1):
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try:
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return await coro_factory(*args, **kwargs)
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except ConnectionError as exc:
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if attempt < MAX_CONNECTION_RETRIES:
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wait_secs = 2 ** attempt
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logger.warning(
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"Connection error %s (attempt %d/%d), retrying in %ds: %s",
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label,
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attempt,
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MAX_CONNECTION_RETRIES,
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wait_secs,
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exc,
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)
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await asyncio.sleep(wait_secs)
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else:
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logger.error(
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"Connection error %s — all %d retries exhausted: %s",
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label,
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MAX_CONNECTION_RETRIES,
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exc,
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)
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raise
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async def sync_positions_from_broker(
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broker: Any,
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overseas_broker: Any,
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db_conn: Any,
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settings: "Settings",
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) -> int:
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"""Sync open positions from the live broker into the local DB at startup.
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Fetches current holdings from the broker for all configured markets and
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inserts a synthetic BUY record for any position that the DB does not
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already know about. This prevents double-buy when positions were opened
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in a previous session or entered manually outside the system.
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Returns:
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Number of new positions synced.
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"""
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synced = 0
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seen_exchange_codes: set[str] = set()
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for market_code in settings.enabled_market_list:
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market = MARKETS.get(market_code)
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if market is None:
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continue
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try:
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if market.is_domestic:
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balance_data = await broker.get_balance()
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log_market = market_code # "KR"
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else:
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if market.exchange_code in seen_exchange_codes:
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continue
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seen_exchange_codes.add(market.exchange_code)
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balance_data = await overseas_broker.get_overseas_balance(
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market.exchange_code
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)
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log_market = market_code # e.g. "US_NASDAQ"
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except ConnectionError as exc:
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logger.warning(
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"Startup sync: balance fetch failed for %s — skipping: %s",
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market_code,
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exc,
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)
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continue
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held_codes = _extract_held_codes_from_balance(
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balance_data, is_domestic=market.is_domestic
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)
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for stock_code in held_codes:
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if get_open_position(db_conn, stock_code, log_market):
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continue # already tracked
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qty = _extract_held_qty_from_balance(
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balance_data, stock_code, is_domestic=market.is_domestic
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)
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avg_price = _extract_avg_price_from_balance(
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balance_data, stock_code, is_domestic=market.is_domestic
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)
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log_trade(
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conn=db_conn,
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stock_code=stock_code,
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action="BUY",
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confidence=0,
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rationale="[startup-sync] Position detected from broker at startup",
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quantity=qty,
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price=avg_price,
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market=log_market,
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exchange_code=market.exchange_code,
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mode=settings.MODE,
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)
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logger.info(
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"Startup sync: %s/%s recorded as open position (qty=%d)",
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log_market,
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stock_code,
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qty,
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)
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synced += 1
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if synced:
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logger.info(
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"Startup sync complete: %d position(s) synced from broker", synced
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)
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else:
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logger.info("Startup sync: no new positions to sync from broker")
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return synced
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def _extract_symbol_from_holding(item: dict[str, Any]) -> str:
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"""Extract symbol from overseas holding payload variants."""
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for key in (
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"ovrs_pdno",
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"pdno",
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"ovrs_item_name",
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"prdt_name",
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"symb",
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"symbol",
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"stock_code",
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):
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value = item.get(key)
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if isinstance(value, str):
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symbol = value.strip().upper()
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if symbol and symbol.replace(".", "").replace("-", "").isalnum():
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return symbol
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return ""
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def _extract_held_codes_from_balance(
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balance_data: dict[str, Any],
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*,
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is_domestic: bool,
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) -> list[str]:
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"""Return stock codes with a positive orderable quantity from a balance response.
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Uses the broker's live output1 as the source of truth so that partial fills
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and manual external trades are always reflected correctly.
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"""
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output1 = balance_data.get("output1", [])
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if isinstance(output1, dict):
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output1 = [output1]
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if not isinstance(output1, list):
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return []
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codes: list[str] = []
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for holding in output1:
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if not isinstance(holding, dict):
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continue
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code_key = "pdno" if is_domestic else "ovrs_pdno"
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code = str(holding.get(code_key, "")).strip().upper()
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if not code:
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continue
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if is_domestic:
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qty = int(holding.get("ord_psbl_qty") or holding.get("hldg_qty") or 0)
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else:
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# ord_psbl_qty (주문가능수량) is the actual sellable quantity.
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# ovrs_cblc_qty (해외잔고수량) includes unsettled/expired holdings
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# that cannot actually be sold (e.g. expired warrants).
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qty = int(
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holding.get("ord_psbl_qty")
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or holding.get("ovrs_cblc_qty")
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or holding.get("hldg_qty")
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or 0
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)
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if qty > 0:
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codes.append(code)
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return codes
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def _extract_held_qty_from_balance(
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balance_data: dict[str, Any],
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stock_code: str,
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*,
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is_domestic: bool,
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) -> int:
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"""Extract the broker-confirmed orderable quantity for a stock.
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Uses the broker's live balance response (output1) as the source of truth
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rather than the local DB, because DB records reflect order quantity which
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may differ from actual fill quantity due to partial fills.
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Domestic fields (VTTC8434R output1):
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pdno — 종목코드
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ord_psbl_qty — 주문가능수량 (preferred: excludes unsettled)
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hldg_qty — 보유수량 (fallback)
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Overseas fields (VTTS3012R / TTTS3012R output1):
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ovrs_pdno — 종목코드
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ord_psbl_qty — 주문가능수량 (preferred: actual sellable qty)
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ovrs_cblc_qty — 해외잔고수량 (fallback: total holding, may include
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unsettled or expired positions with ord_psbl_qty=0)
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hldg_qty — 보유수량 (last-resort fallback)
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"""
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output1 = balance_data.get("output1", [])
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if isinstance(output1, dict):
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output1 = [output1]
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if not isinstance(output1, list):
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return 0
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for holding in output1:
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if not isinstance(holding, dict):
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continue
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code_key = "pdno" if is_domestic else "ovrs_pdno"
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held_code = str(holding.get(code_key, "")).strip().upper()
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if held_code != stock_code.strip().upper():
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continue
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if is_domestic:
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qty = int(holding.get("ord_psbl_qty") or holding.get("hldg_qty") or 0)
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else:
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qty = int(
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holding.get("ord_psbl_qty")
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or holding.get("ovrs_cblc_qty")
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or holding.get("hldg_qty")
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or 0
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)
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return qty
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return 0
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def _extract_avg_price_from_balance(
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balance_data: dict[str, Any],
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stock_code: str,
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*,
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is_domestic: bool,
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) -> float:
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"""Extract the broker-reported average purchase price for a stock.
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Uses ``pchs_avg_pric`` (매입평균가격) from the balance response (output1).
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Returns 0.0 when absent so callers can use ``if price > 0`` as sentinel.
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Domestic fields (VTTC8434R output1): pdno, pchs_avg_pric
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Overseas fields (VTTS3012R output1): ovrs_pdno, pchs_avg_pric
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"""
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output1 = balance_data.get("output1", [])
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if isinstance(output1, dict):
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output1 = [output1]
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if not isinstance(output1, list):
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return 0.0
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for holding in output1:
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if not isinstance(holding, dict):
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continue
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code_key = "pdno" if is_domestic else "ovrs_pdno"
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held_code = str(holding.get(code_key, "")).strip().upper()
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if held_code != stock_code.strip().upper():
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continue
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return safe_float(holding.get("pchs_avg_pric"), 0.0)
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return 0.0
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def _determine_order_quantity(
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*,
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action: str,
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current_price: float,
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total_cash: float,
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candidate: ScanCandidate | None,
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settings: Settings | None,
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broker_held_qty: int = 0,
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playbook_allocation_pct: float | None = None,
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scenario_confidence: int = 80,
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) -> int:
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"""Determine order quantity using volatility-aware position sizing.
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Priority:
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1. playbook_allocation_pct (AI-specified) scaled by scenario_confidence
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2. Fallback: volatility-score-based allocation from scanner candidate
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"""
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if action == "SELL":
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return broker_held_qty
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if current_price <= 0 or total_cash <= 0:
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return 0
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if settings is None or not settings.POSITION_SIZING_ENABLED:
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return 1
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# Use AI-specified allocation_pct if available
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if playbook_allocation_pct is not None:
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# Confidence scaling: confidence 80 → 1.0x, confidence 95 → 1.19x
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confidence_scale = scenario_confidence / 80.0
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effective_pct = min(
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settings.POSITION_MAX_ALLOCATION_PCT,
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max(
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settings.POSITION_MIN_ALLOCATION_PCT,
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playbook_allocation_pct * confidence_scale,
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),
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)
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budget = total_cash * (effective_pct / 100.0)
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quantity = int(budget // current_price)
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return max(0, quantity)
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# Fallback: volatility-score-based allocation
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target_score = max(1.0, settings.POSITION_VOLATILITY_TARGET_SCORE)
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observed_score = candidate.score if candidate else target_score
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observed_score = max(1.0, min(100.0, observed_score))
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# Higher observed volatility score => smaller allocation.
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scaled_pct = settings.POSITION_BASE_ALLOCATION_PCT * (target_score / observed_score)
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allocation_pct = min(
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settings.POSITION_MAX_ALLOCATION_PCT,
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max(settings.POSITION_MIN_ALLOCATION_PCT, scaled_pct),
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)
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budget = total_cash * (allocation_pct / 100.0)
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quantity = int(budget // current_price)
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if quantity <= 0:
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return 0
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return quantity
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|
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|
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async def build_overseas_symbol_universe(
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db_conn: Any,
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overseas_broker: OverseasBroker,
|
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market: MarketInfo,
|
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active_stocks: dict[str, list[str]],
|
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) -> list[str]:
|
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"""Build dynamic overseas symbol universe from runtime, DB, and holdings."""
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symbols: list[str] = []
|
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|
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# 1) Keep current active stocks first to avoid sudden churn between cycles.
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symbols.extend(active_stocks.get(market.code, []))
|
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|
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# 2) Add recent symbols from own trading history (no fixed list).
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symbols.extend(get_recent_symbols(db_conn, market.code, limit=30))
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|
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# 3) Add current overseas holdings from broker balance if available.
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try:
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balance_data = await overseas_broker.get_overseas_balance(market.exchange_code)
|
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output1 = balance_data.get("output1", [])
|
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if isinstance(output1, dict):
|
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output1 = [output1]
|
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if isinstance(output1, list):
|
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for row in output1:
|
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if not isinstance(row, dict):
|
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continue
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symbol = _extract_symbol_from_holding(row)
|
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if symbol:
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symbols.append(symbol)
|
|
except Exception as exc:
|
|
logger.warning("Failed to build overseas holdings universe for %s: %s", market.code, exc)
|
|
|
|
seen: set[str] = set()
|
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ordered_unique: list[str] = []
|
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for symbol in symbols:
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normalized = symbol.strip().upper()
|
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if not normalized or normalized in seen:
|
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continue
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seen.add(normalized)
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ordered_unique.append(normalized)
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return ordered_unique
|
|
|
|
|
|
async def trading_cycle(
|
|
broker: KISBroker,
|
|
overseas_broker: OverseasBroker,
|
|
scenario_engine: ScenarioEngine,
|
|
playbook: DayPlaybook,
|
|
risk: RiskManager,
|
|
db_conn: Any,
|
|
decision_logger: DecisionLogger,
|
|
context_store: ContextStore,
|
|
criticality_assessor: CriticalityAssessor,
|
|
telegram: TelegramClient,
|
|
market: MarketInfo,
|
|
stock_code: str,
|
|
scan_candidates: dict[str, dict[str, ScanCandidate]],
|
|
settings: Settings | None = None,
|
|
buy_cooldown: dict[str, float] | None = None,
|
|
) -> None:
|
|
"""Execute one trading cycle for a single stock."""
|
|
cycle_start_time = asyncio.get_event_loop().time()
|
|
|
|
# 1. Fetch market data
|
|
price_output: dict[str, Any] = {} # Populated for overseas markets; used for fallback metrics
|
|
if market.is_domestic:
|
|
current_price, price_change_pct, foreigner_net = await broker.get_current_price(
|
|
stock_code
|
|
)
|
|
balance_data = await broker.get_balance()
|
|
|
|
output2 = balance_data.get("output2", [{}])
|
|
total_eval = safe_float(output2[0].get("tot_evlu_amt", "0")) if output2 else 0
|
|
total_cash = safe_float(
|
|
balance_data.get("output2", [{}])[0].get("dnca_tot_amt", "0")
|
|
if output2
|
|
else "0"
|
|
)
|
|
purchase_total = safe_float(output2[0].get("pchs_amt_smtl_amt", "0")) if output2 else 0
|
|
else:
|
|
# Overseas market
|
|
price_data = await overseas_broker.get_overseas_price(
|
|
market.exchange_code, stock_code
|
|
)
|
|
balance_data = await overseas_broker.get_overseas_balance(market.exchange_code)
|
|
|
|
output2 = balance_data.get("output2", [{}])
|
|
# Handle both list and dict response formats
|
|
if isinstance(output2, list) and output2:
|
|
balance_info = output2[0]
|
|
elif isinstance(output2, dict):
|
|
balance_info = output2
|
|
else:
|
|
balance_info = {}
|
|
|
|
total_eval = safe_float(balance_info.get("frcr_evlu_tota", "0") or "0")
|
|
purchase_total = safe_float(balance_info.get("frcr_buy_amt_smtl", "0") or "0")
|
|
|
|
# Resolve current price first (needed for buying power API)
|
|
price_output = price_data.get("output", {})
|
|
current_price = safe_float(price_output.get("last", "0"))
|
|
if current_price <= 0:
|
|
market_candidates_lookup = scan_candidates.get(market.code, {})
|
|
cand_lookup = market_candidates_lookup.get(stock_code)
|
|
if cand_lookup and cand_lookup.price > 0:
|
|
logger.debug(
|
|
"Price API returned 0 for %s; using scanner candidate price %.4f",
|
|
stock_code,
|
|
cand_lookup.price,
|
|
)
|
|
current_price = cand_lookup.price
|
|
foreigner_net = 0.0 # Not available for overseas
|
|
price_change_pct = safe_float(price_output.get("rate", "0"))
|
|
|
|
# Fetch available foreign currency cash via inquire-psamount (TTTS3007R/VTTS3007R).
|
|
# TTTS3012R output2 does not include a cash/deposit field — frcr_dncl_amt_2 does not exist.
|
|
# Source: 한국투자증권 오픈API 전체문서 (20260221) — '해외주식 매수가능금액조회' 시트
|
|
total_cash = 0.0
|
|
if current_price > 0:
|
|
try:
|
|
ps_data = await overseas_broker.get_overseas_buying_power(
|
|
market.exchange_code, stock_code, current_price
|
|
)
|
|
total_cash = safe_float(
|
|
ps_data.get("output", {}).get("ovrs_ord_psbl_amt", "0") or "0"
|
|
)
|
|
except ConnectionError as exc:
|
|
logger.warning(
|
|
"Could not fetch overseas buying power for %s/%s: %s",
|
|
market.exchange_code,
|
|
stock_code,
|
|
exc,
|
|
)
|
|
|
|
# Paper mode fallback: VTS overseas balance API often fails for many accounts.
|
|
# Only activate in paper mode — live mode must use real balance from KIS.
|
|
if (
|
|
total_cash <= 0
|
|
and settings
|
|
and settings.MODE == "paper"
|
|
and settings.PAPER_OVERSEAS_CASH > 0
|
|
):
|
|
logger.debug(
|
|
"Overseas cash balance is 0 for %s; using paper fallback %.2f USD",
|
|
market.exchange_code,
|
|
settings.PAPER_OVERSEAS_CASH,
|
|
)
|
|
total_cash = settings.PAPER_OVERSEAS_CASH
|
|
|
|
# Calculate daily P&L %
|
|
pnl_pct = (
|
|
((total_eval - purchase_total) / purchase_total * 100)
|
|
if purchase_total > 0
|
|
else 0.0
|
|
)
|
|
|
|
market_data: dict[str, Any] = {
|
|
"stock_code": stock_code,
|
|
"market_name": market.name,
|
|
"current_price": current_price,
|
|
"foreigner_net": foreigner_net,
|
|
"price_change_pct": price_change_pct,
|
|
}
|
|
|
|
# Enrich market_data with scanner metrics for scenario engine
|
|
market_candidates = scan_candidates.get(market.code, {})
|
|
candidate = market_candidates.get(stock_code)
|
|
if candidate:
|
|
market_data["rsi"] = candidate.rsi
|
|
market_data["volume_ratio"] = candidate.volume_ratio
|
|
else:
|
|
# Holding stocks not in scanner: derive metrics from price API data already fetched.
|
|
# For overseas stocks, price_output contains high/low/rate from get_overseas_price.
|
|
# For domestic stocks, only price_change_pct is available from get_current_price.
|
|
market_data["rsi"] = max(0.0, min(100.0, 50.0 + price_change_pct * 2.0))
|
|
if price_output and current_price > 0:
|
|
pr_high = safe_float(
|
|
price_output.get("high") or price_output.get("ovrs_hgpr")
|
|
or price_output.get("stck_hgpr")
|
|
)
|
|
pr_low = safe_float(
|
|
price_output.get("low") or price_output.get("ovrs_lwpr")
|
|
or price_output.get("stck_lwpr")
|
|
)
|
|
if pr_high > 0 and pr_low > 0 and pr_high >= pr_low:
|
|
intraday_range_pct = (pr_high - pr_low) / current_price * 100.0
|
|
volatility_pct = max(abs(price_change_pct), intraday_range_pct)
|
|
market_data["volume_ratio"] = max(1.0, volatility_pct / 2.0)
|
|
else:
|
|
market_data["volume_ratio"] = 1.0
|
|
else:
|
|
market_data["volume_ratio"] = 1.0
|
|
|
|
# Enrich market_data with holding info for SELL/HOLD scenario conditions
|
|
open_pos = get_open_position(db_conn, stock_code, market.code)
|
|
if open_pos and current_price > 0:
|
|
entry_price = safe_float(open_pos.get("price"), 0.0)
|
|
if entry_price > 0:
|
|
market_data["unrealized_pnl_pct"] = (
|
|
(current_price - entry_price) / entry_price * 100
|
|
)
|
|
entry_ts = open_pos.get("timestamp")
|
|
if entry_ts:
|
|
try:
|
|
entry_date = datetime.fromisoformat(entry_ts).date()
|
|
market_data["holding_days"] = (datetime.now(UTC).date() - entry_date).days
|
|
except (ValueError, TypeError):
|
|
pass
|
|
|
|
# 1.3. Record L7 real-time context (market-scoped keys)
|
|
timeframe = datetime.now(UTC).isoformat()
|
|
context_store.set_context(
|
|
ContextLayer.L7_REALTIME,
|
|
timeframe,
|
|
f"volatility_{market.code}_{stock_code}",
|
|
{
|
|
"momentum_score": 50.0,
|
|
"volume_surge": 1.0,
|
|
"price_change_1m": 0.0,
|
|
},
|
|
)
|
|
context_store.set_context(
|
|
ContextLayer.L7_REALTIME,
|
|
timeframe,
|
|
f"price_{market.code}_{stock_code}",
|
|
{"current_price": current_price},
|
|
)
|
|
if candidate:
|
|
context_store.set_context(
|
|
ContextLayer.L7_REALTIME,
|
|
timeframe,
|
|
f"rsi_{market.code}_{stock_code}",
|
|
{"rsi": candidate.rsi},
|
|
)
|
|
context_store.set_context(
|
|
ContextLayer.L7_REALTIME,
|
|
timeframe,
|
|
f"volume_ratio_{market.code}_{stock_code}",
|
|
{"volume_ratio": candidate.volume_ratio},
|
|
)
|
|
|
|
# Write pnl_pct to system_metrics (dashboard-only table, separate from AI context tree)
|
|
db_conn.execute(
|
|
"INSERT OR REPLACE INTO system_metrics (key, value, updated_at) VALUES (?, ?, ?)",
|
|
(
|
|
f"portfolio_pnl_pct_{market.code}",
|
|
json.dumps({"pnl_pct": round(pnl_pct, 4)}),
|
|
datetime.now(UTC).isoformat(),
|
|
),
|
|
)
|
|
db_conn.commit()
|
|
|
|
# Build portfolio data for global rule evaluation
|
|
portfolio_data = {
|
|
"portfolio_pnl_pct": pnl_pct,
|
|
"total_cash": total_cash,
|
|
"total_eval": total_eval,
|
|
}
|
|
|
|
# 1.5. Get volatility metrics from context store (L7_REALTIME)
|
|
latest_timeframe = context_store.get_latest_timeframe(ContextLayer.L7_REALTIME)
|
|
volatility_score = 50.0 # Default normal volatility
|
|
volume_surge = 1.0
|
|
price_change_1m = 0.0
|
|
|
|
if latest_timeframe:
|
|
volatility_data = context_store.get_context(
|
|
ContextLayer.L7_REALTIME,
|
|
latest_timeframe,
|
|
f"volatility_{market.code}_{stock_code}",
|
|
)
|
|
if volatility_data:
|
|
volatility_score = volatility_data.get("momentum_score", 50.0)
|
|
volume_surge = volatility_data.get("volume_surge", 1.0)
|
|
price_change_1m = volatility_data.get("price_change_1m", 0.0)
|
|
|
|
# 1.6. Assess criticality based on market conditions
|
|
criticality = criticality_assessor.assess_market_conditions(
|
|
pnl_pct=pnl_pct,
|
|
volatility_score=volatility_score,
|
|
volume_surge=volume_surge,
|
|
price_change_1m=price_change_1m,
|
|
is_market_open=True,
|
|
)
|
|
|
|
logger.info(
|
|
"Criticality for %s (%s): %s (pnl=%.2f%%, volatility=%.1f, volume_surge=%.1fx)",
|
|
stock_code,
|
|
market.name,
|
|
criticality.value,
|
|
pnl_pct,
|
|
volatility_score,
|
|
volume_surge,
|
|
)
|
|
|
|
# 2. Evaluate scenario (local, no API call)
|
|
match = scenario_engine.evaluate(playbook, stock_code, market_data, portfolio_data)
|
|
decision = TradeDecision(
|
|
action=match.action.value,
|
|
confidence=match.confidence,
|
|
rationale=match.rationale,
|
|
)
|
|
stock_playbook = playbook.get_stock_playbook(stock_code)
|
|
|
|
# 2.1. Apply market_outlook-based BUY confidence threshold
|
|
if decision.action == "BUY":
|
|
base_threshold = (settings.CONFIDENCE_THRESHOLD if settings else 80)
|
|
outlook = playbook.market_outlook
|
|
if outlook == MarketOutlook.BEARISH:
|
|
min_confidence = 90
|
|
elif outlook == MarketOutlook.BULLISH:
|
|
min_confidence = 75
|
|
else:
|
|
min_confidence = base_threshold
|
|
if match.confidence < min_confidence:
|
|
logger.info(
|
|
"BUY suppressed for %s (%s): confidence %d < %d (market_outlook=%s)",
|
|
stock_code,
|
|
market.name,
|
|
match.confidence,
|
|
min_confidence,
|
|
outlook.value,
|
|
)
|
|
decision = TradeDecision(
|
|
action="HOLD",
|
|
confidence=match.confidence,
|
|
rationale=(
|
|
f"BUY confidence {match.confidence} < {min_confidence} "
|
|
f"(market_outlook={outlook.value})"
|
|
),
|
|
)
|
|
|
|
# BUY 결정 전 기존 포지션 체크 (중복 매수 방지)
|
|
if decision.action == "BUY":
|
|
existing_position = get_open_position(db_conn, stock_code, market.code)
|
|
if not existing_position:
|
|
# SELL 지정가 접수 후 미체결 시 DB는 종료로 기록되나 브로커는 여전히 보유 중.
|
|
# 국내/해외 모두 라이브 브로커 잔고를 authoritative source로 사용.
|
|
broker_qty = _extract_held_qty_from_balance(
|
|
balance_data, stock_code, is_domestic=market.is_domestic
|
|
)
|
|
if broker_qty > 0:
|
|
existing_position = {"price": 0.0, "quantity": broker_qty}
|
|
if existing_position:
|
|
decision = TradeDecision(
|
|
action="HOLD",
|
|
confidence=decision.confidence,
|
|
rationale=(
|
|
f"Already holding {stock_code} "
|
|
f"(entry={existing_position['price']:.4f}, "
|
|
f"qty={existing_position['quantity']})"
|
|
),
|
|
)
|
|
logger.info(
|
|
"BUY suppressed for %s (%s): already holding open position",
|
|
stock_code,
|
|
market.name,
|
|
)
|
|
|
|
if decision.action == "HOLD":
|
|
open_position = get_open_position(db_conn, stock_code, market.code)
|
|
if open_position:
|
|
entry_price = safe_float(open_position.get("price"), 0.0)
|
|
if entry_price > 0 and current_price > 0:
|
|
loss_pct = (current_price - entry_price) / entry_price * 100
|
|
stop_loss_threshold = -2.0
|
|
take_profit_threshold = 3.0
|
|
if stock_playbook and stock_playbook.scenarios:
|
|
stop_loss_threshold = stock_playbook.scenarios[0].stop_loss_pct
|
|
take_profit_threshold = stock_playbook.scenarios[0].take_profit_pct
|
|
|
|
if loss_pct <= stop_loss_threshold:
|
|
decision = TradeDecision(
|
|
action="SELL",
|
|
confidence=95,
|
|
rationale=(
|
|
f"Stop-loss triggered ({loss_pct:.2f}% <= "
|
|
f"{stop_loss_threshold:.2f}%)"
|
|
),
|
|
)
|
|
logger.info(
|
|
"Stop-loss override for %s (%s): %.2f%% <= %.2f%%",
|
|
stock_code,
|
|
market.name,
|
|
loss_pct,
|
|
stop_loss_threshold,
|
|
)
|
|
elif loss_pct >= take_profit_threshold:
|
|
decision = TradeDecision(
|
|
action="SELL",
|
|
confidence=90,
|
|
rationale=(
|
|
f"Take-profit triggered ({loss_pct:.2f}% >= "
|
|
f"{take_profit_threshold:.2f}%)"
|
|
),
|
|
)
|
|
logger.info(
|
|
"Take-profit override for %s (%s): %.2f%% >= %.2f%%",
|
|
stock_code,
|
|
market.name,
|
|
loss_pct,
|
|
take_profit_threshold,
|
|
)
|
|
logger.info(
|
|
"Decision for %s (%s): %s (confidence=%d)",
|
|
stock_code,
|
|
market.name,
|
|
decision.action,
|
|
decision.confidence,
|
|
)
|
|
|
|
# 2.1. Notify scenario match
|
|
if match.matched_scenario is not None:
|
|
try:
|
|
condition_parts = [f"{k}={v}" for k, v in match.match_details.items()]
|
|
await telegram.notify_scenario_matched(
|
|
stock_code=stock_code,
|
|
action=decision.action,
|
|
condition_summary=", ".join(condition_parts) if condition_parts else "matched",
|
|
confidence=float(decision.confidence),
|
|
)
|
|
except Exception as exc:
|
|
logger.warning("Scenario matched notification failed: %s", exc)
|
|
|
|
# 2.5. Log decision with context snapshot
|
|
context_snapshot = {
|
|
"L1": {
|
|
"current_price": current_price,
|
|
"foreigner_net": foreigner_net,
|
|
},
|
|
"L2": {
|
|
"total_eval": total_eval,
|
|
"total_cash": total_cash,
|
|
"purchase_total": purchase_total,
|
|
"pnl_pct": pnl_pct,
|
|
},
|
|
"scenario_match": match.match_details,
|
|
}
|
|
input_data = {
|
|
"current_price": current_price,
|
|
"foreigner_net": foreigner_net,
|
|
"price_change_pct": price_change_pct,
|
|
"total_eval": total_eval,
|
|
"total_cash": total_cash,
|
|
"pnl_pct": pnl_pct,
|
|
}
|
|
|
|
decision_id = decision_logger.log_decision(
|
|
stock_code=stock_code,
|
|
market=market.code,
|
|
exchange_code=market.exchange_code,
|
|
action=decision.action,
|
|
confidence=decision.confidence,
|
|
rationale=decision.rationale,
|
|
context_snapshot=context_snapshot,
|
|
input_data=input_data,
|
|
)
|
|
|
|
# 3. Execute if actionable
|
|
quantity = 0
|
|
trade_price = current_price
|
|
trade_pnl = 0.0
|
|
if decision.action in ("BUY", "SELL"):
|
|
broker_held_qty = (
|
|
_extract_held_qty_from_balance(
|
|
balance_data, stock_code, is_domestic=market.is_domestic
|
|
)
|
|
if decision.action == "SELL"
|
|
else 0
|
|
)
|
|
matched_scenario = match.matched_scenario
|
|
quantity = _determine_order_quantity(
|
|
action=decision.action,
|
|
current_price=current_price,
|
|
total_cash=total_cash,
|
|
candidate=candidate,
|
|
settings=settings,
|
|
broker_held_qty=broker_held_qty,
|
|
playbook_allocation_pct=matched_scenario.allocation_pct if matched_scenario else None,
|
|
scenario_confidence=match.confidence,
|
|
)
|
|
if quantity <= 0:
|
|
logger.info(
|
|
"Skip %s %s (%s): no affordable quantity (cash=%.2f, price=%.2f)",
|
|
decision.action,
|
|
stock_code,
|
|
market.name,
|
|
total_cash,
|
|
current_price,
|
|
)
|
|
return
|
|
order_amount = current_price * quantity
|
|
|
|
# 4. Check BUY cooldown (set when a prior BUY failed due to insufficient balance)
|
|
if decision.action == "BUY" and buy_cooldown is not None:
|
|
cooldown_key = f"{market.code}:{stock_code}"
|
|
cooldown_until = buy_cooldown.get(cooldown_key, 0.0)
|
|
now = asyncio.get_event_loop().time()
|
|
if now < cooldown_until:
|
|
remaining = int(cooldown_until - now)
|
|
logger.info(
|
|
"Skip BUY %s (%s): insufficient-balance cooldown active (%ds remaining)",
|
|
stock_code,
|
|
market.name,
|
|
remaining,
|
|
)
|
|
return
|
|
|
|
# 5a. Risk check BEFORE order
|
|
# SELL orders do not consume cash (they receive it), so fat-finger check
|
|
# is skipped for SELLs — only circuit breaker applies.
|
|
try:
|
|
if decision.action == "SELL":
|
|
risk.check_circuit_breaker(pnl_pct)
|
|
else:
|
|
risk.validate_order(
|
|
current_pnl_pct=pnl_pct,
|
|
order_amount=order_amount,
|
|
total_cash=total_cash,
|
|
)
|
|
except FatFingerRejected as exc:
|
|
try:
|
|
await telegram.notify_fat_finger(
|
|
stock_code=stock_code,
|
|
order_amount=exc.order_amount,
|
|
total_cash=exc.total_cash,
|
|
max_pct=exc.max_pct,
|
|
)
|
|
except Exception as notify_exc:
|
|
logger.warning("Fat finger notification failed: %s", notify_exc)
|
|
raise # Re-raise to prevent trade
|
|
|
|
# 5. Send order
|
|
order_succeeded = True
|
|
if market.is_domestic:
|
|
# Use limit orders (지정가) for domestic stocks to avoid market order
|
|
# quantity calculation issues. KRX tick rounding applied via kr_round_down.
|
|
# BUY: +0.2% — ensures fill even when ask is slightly above last price.
|
|
# SELL: -0.2% — ensures fill even when bid is slightly below last price.
|
|
if decision.action == "BUY":
|
|
order_price = kr_round_down(current_price * 1.002)
|
|
else:
|
|
order_price = kr_round_down(current_price * 0.998)
|
|
result = await broker.send_order(
|
|
stock_code=stock_code,
|
|
order_type=decision.action,
|
|
quantity=quantity,
|
|
price=order_price,
|
|
)
|
|
else:
|
|
# For overseas orders, always use limit orders (지정가):
|
|
# - KIS market orders (ORD_DVSN=01) calculate quantity based on upper limit
|
|
# price (상한가 기준), resulting in only 60-80% of intended cash being used.
|
|
# - BUY: +0.2% above last price — tight enough to minimise overpayment while
|
|
# achieving >90% fill rate on large-cap US stocks.
|
|
# - SELL: -0.2% below last price — ensures fill even when price dips slightly
|
|
# (placing at exact last price risks no-fill if the bid is just below).
|
|
overseas_price: float
|
|
# KIS requires at most 2 decimal places for prices >= $1 (≥1달러 소수점 2자리 제한).
|
|
# Penny stocks (< $1) keep 4 decimal places to preserve price precision.
|
|
_price_decimals = 2 if current_price >= 1.0 else 4
|
|
if decision.action == "BUY":
|
|
overseas_price = round(current_price * 1.002, _price_decimals)
|
|
else:
|
|
overseas_price = round(current_price * 0.998, _price_decimals)
|
|
result = await overseas_broker.send_overseas_order(
|
|
exchange_code=market.exchange_code,
|
|
stock_code=stock_code,
|
|
order_type=decision.action,
|
|
quantity=quantity,
|
|
price=overseas_price, # limit order
|
|
)
|
|
# Check if KIS rejected the order (rt_cd != "0")
|
|
if result.get("rt_cd", "") != "0":
|
|
order_succeeded = False
|
|
msg1 = result.get("msg1") or ""
|
|
logger.warning(
|
|
"Overseas order not accepted for %s: rt_cd=%s msg=%s",
|
|
stock_code,
|
|
result.get("rt_cd"),
|
|
msg1,
|
|
)
|
|
# Set BUY cooldown when the rejection is due to insufficient balance
|
|
if decision.action == "BUY" and buy_cooldown is not None and "주문가능금액" in msg1:
|
|
cooldown_key = f"{market.code}:{stock_code}"
|
|
buy_cooldown[cooldown_key] = (
|
|
asyncio.get_event_loop().time() + _BUY_COOLDOWN_SECONDS
|
|
)
|
|
logger.info(
|
|
"BUY cooldown set for %s: %.0fs (insufficient balance)",
|
|
stock_code,
|
|
_BUY_COOLDOWN_SECONDS,
|
|
)
|
|
# Close ghost position when broker has no matching balance.
|
|
# This prevents infinite SELL retry cycles for positions that
|
|
# exist in the DB (from startup sync) but are no longer
|
|
# sellable at the broker (expired warrants, delisted stocks, etc.)
|
|
if decision.action == "SELL" and "잔고내역이 없습니다" in msg1:
|
|
logger.warning(
|
|
"Ghost position detected for %s (%s): broker reports no balance."
|
|
" Closing DB position to prevent infinite retry.",
|
|
stock_code,
|
|
market.exchange_code,
|
|
)
|
|
log_trade(
|
|
conn=db_conn,
|
|
stock_code=stock_code,
|
|
action="SELL",
|
|
confidence=0,
|
|
rationale=(
|
|
"[ghost-close] Broker reported no balance;"
|
|
" position closed without fill"
|
|
),
|
|
quantity=0,
|
|
price=0.0,
|
|
pnl=0.0,
|
|
market=market.code,
|
|
exchange_code=market.exchange_code,
|
|
mode=settings.MODE if settings else "paper",
|
|
)
|
|
logger.info("Order result: %s", result.get("msg1", "OK"))
|
|
|
|
# 5.5. Notify trade execution (only on success)
|
|
if order_succeeded:
|
|
try:
|
|
await telegram.notify_trade_execution(
|
|
stock_code=stock_code,
|
|
market=market.name,
|
|
action=decision.action,
|
|
quantity=quantity,
|
|
price=current_price,
|
|
confidence=decision.confidence,
|
|
)
|
|
except Exception as exc:
|
|
logger.warning("Telegram notification failed: %s", exc)
|
|
|
|
if decision.action == "SELL" and order_succeeded:
|
|
buy_trade = get_latest_buy_trade(db_conn, stock_code, market.code)
|
|
if buy_trade and buy_trade.get("price") is not None:
|
|
buy_price = float(buy_trade["price"])
|
|
buy_qty = int(buy_trade.get("quantity") or 1)
|
|
trade_pnl = (trade_price - buy_price) * buy_qty
|
|
decision_logger.update_outcome(
|
|
decision_id=buy_trade["decision_id"],
|
|
pnl=trade_pnl,
|
|
accuracy=1 if trade_pnl > 0 else 0,
|
|
)
|
|
|
|
# 6. Log trade with selection context (skip if order was rejected)
|
|
if decision.action in ("BUY", "SELL") and not order_succeeded:
|
|
return
|
|
selection_context = None
|
|
if stock_code in market_candidates:
|
|
candidate = market_candidates[stock_code]
|
|
selection_context = {
|
|
"rsi": candidate.rsi,
|
|
"volume_ratio": candidate.volume_ratio,
|
|
"signal": candidate.signal,
|
|
"score": candidate.score,
|
|
}
|
|
|
|
log_trade(
|
|
conn=db_conn,
|
|
stock_code=stock_code,
|
|
action=decision.action,
|
|
confidence=decision.confidence,
|
|
rationale=decision.rationale,
|
|
quantity=quantity,
|
|
price=trade_price,
|
|
pnl=trade_pnl,
|
|
market=market.code,
|
|
exchange_code=market.exchange_code,
|
|
selection_context=selection_context,
|
|
decision_id=decision_id,
|
|
mode=settings.MODE if settings else "paper",
|
|
)
|
|
|
|
# 7. Latency monitoring
|
|
cycle_end_time = asyncio.get_event_loop().time()
|
|
cycle_latency = cycle_end_time - cycle_start_time
|
|
timeout = criticality_assessor.get_timeout(criticality)
|
|
|
|
if timeout and cycle_latency > timeout:
|
|
logger.warning(
|
|
"Trading cycle exceeded timeout for %s (criticality=%s, latency=%.2fs, timeout=%.2fs)",
|
|
stock_code,
|
|
criticality.value,
|
|
cycle_latency,
|
|
timeout,
|
|
)
|
|
else:
|
|
logger.debug(
|
|
"Trading cycle completed within timeout for %s (criticality=%s, latency=%.2fs)",
|
|
stock_code,
|
|
criticality.value,
|
|
cycle_latency,
|
|
)
|
|
|
|
|
|
async def handle_domestic_pending_orders(
|
|
broker: KISBroker,
|
|
telegram: TelegramClient,
|
|
settings: Settings,
|
|
sell_resubmit_counts: dict[str, int],
|
|
buy_cooldown: dict[str, float] | None = None,
|
|
) -> None:
|
|
"""Check and handle unfilled (pending) domestic limit orders.
|
|
|
|
Called once per market loop iteration before new orders are considered.
|
|
In paper mode the KIS pending-orders API (TTTC0084R) is unsupported, so
|
|
``get_domestic_pending_orders`` returns [] immediately and this function
|
|
exits without making further API calls.
|
|
|
|
BUY pending → cancel (to free up balance) + optionally set cooldown.
|
|
SELL pending → cancel then resubmit at a wider spread (-0.4% from last
|
|
price, kr_round_down applied). Resubmission is attempted
|
|
at most once per key per session to avoid infinite loops.
|
|
|
|
Args:
|
|
broker: KISBroker instance.
|
|
telegram: TelegramClient for notifications.
|
|
settings: Application settings.
|
|
sell_resubmit_counts: Mutable dict tracking SELL resubmission attempts
|
|
per "KR:{stock_code}" key. Passed by reference so counts persist
|
|
across calls within the same session.
|
|
buy_cooldown: Optional cooldown dict shared with the main trading loop.
|
|
When provided, cancelled BUY orders are added with a
|
|
_BUY_COOLDOWN_SECONDS expiry.
|
|
"""
|
|
try:
|
|
orders = await broker.get_domestic_pending_orders()
|
|
except Exception as exc:
|
|
logger.warning("Failed to fetch domestic pending orders: %s", exc)
|
|
return
|
|
|
|
now = asyncio.get_event_loop().time()
|
|
|
|
for order in orders:
|
|
try:
|
|
stock_code = order.get("pdno", "")
|
|
orgn_odno = order.get("orgn_odno", "")
|
|
krx_fwdg_ord_orgno = order.get("ord_gno_brno", "")
|
|
sll_buy = order.get("sll_buy_dvsn_cd", "") # "01"=SELL, "02"=BUY
|
|
psbl_qty = int(order.get("psbl_qty", "0") or "0")
|
|
key = f"KR:{stock_code}"
|
|
|
|
if not stock_code or not orgn_odno or psbl_qty <= 0:
|
|
continue
|
|
|
|
# Cancel the pending order first regardless of direction.
|
|
cancel_result = await broker.cancel_domestic_order(
|
|
stock_code=stock_code,
|
|
orgn_odno=orgn_odno,
|
|
krx_fwdg_ord_orgno=krx_fwdg_ord_orgno,
|
|
qty=psbl_qty,
|
|
)
|
|
if cancel_result.get("rt_cd") != "0":
|
|
logger.warning(
|
|
"Cancel failed for KR %s: rt_cd=%s msg=%s",
|
|
stock_code,
|
|
cancel_result.get("rt_cd"),
|
|
cancel_result.get("msg1"),
|
|
)
|
|
continue
|
|
|
|
if sll_buy == "02":
|
|
# BUY pending → cancelled; set cooldown to avoid immediate re-buy.
|
|
if buy_cooldown is not None:
|
|
buy_cooldown[key] = now + _BUY_COOLDOWN_SECONDS
|
|
try:
|
|
await telegram.notify_unfilled_order(
|
|
stock_code=stock_code,
|
|
market="KR",
|
|
action="BUY",
|
|
quantity=psbl_qty,
|
|
outcome="cancelled",
|
|
)
|
|
except Exception as notify_exc:
|
|
logger.warning("notify_unfilled_order failed: %s", notify_exc)
|
|
|
|
elif sll_buy == "01":
|
|
# SELL pending — attempt one resubmit at a wider spread.
|
|
if sell_resubmit_counts.get(key, 0) >= 1:
|
|
# Already resubmitted once — only cancel (already done above).
|
|
logger.warning(
|
|
"SELL KR %s already resubmitted once — no further resubmit",
|
|
stock_code,
|
|
)
|
|
try:
|
|
await telegram.notify_unfilled_order(
|
|
stock_code=stock_code,
|
|
market="KR",
|
|
action="SELL",
|
|
quantity=psbl_qty,
|
|
outcome="cancelled",
|
|
)
|
|
except Exception as notify_exc:
|
|
logger.warning(
|
|
"notify_unfilled_order failed: %s", notify_exc
|
|
)
|
|
else:
|
|
# First unfilled SELL → resubmit at last * 0.996 (-0.4%).
|
|
try:
|
|
last_price, _, _ = await broker.get_current_price(stock_code)
|
|
if last_price <= 0:
|
|
raise ValueError(
|
|
f"Invalid price ({last_price}) for {stock_code}"
|
|
)
|
|
new_price = kr_round_down(last_price * 0.996)
|
|
await broker.send_order(
|
|
stock_code=stock_code,
|
|
order_type="SELL",
|
|
quantity=psbl_qty,
|
|
price=new_price,
|
|
)
|
|
sell_resubmit_counts[key] = (
|
|
sell_resubmit_counts.get(key, 0) + 1
|
|
)
|
|
try:
|
|
await telegram.notify_unfilled_order(
|
|
stock_code=stock_code,
|
|
market="KR",
|
|
action="SELL",
|
|
quantity=psbl_qty,
|
|
outcome="resubmitted",
|
|
new_price=float(new_price),
|
|
)
|
|
except Exception as notify_exc:
|
|
logger.warning(
|
|
"notify_unfilled_order failed: %s", notify_exc
|
|
)
|
|
except Exception as exc:
|
|
logger.error(
|
|
"SELL resubmit failed for KR %s: %s",
|
|
stock_code,
|
|
exc,
|
|
)
|
|
|
|
except Exception as exc:
|
|
logger.error(
|
|
"Error handling domestic pending order for %s: %s",
|
|
order.get("pdno", "?"),
|
|
exc,
|
|
)
|
|
|
|
|
|
async def handle_overseas_pending_orders(
|
|
overseas_broker: OverseasBroker,
|
|
telegram: TelegramClient,
|
|
settings: Settings,
|
|
sell_resubmit_counts: dict[str, int],
|
|
buy_cooldown: dict[str, float] | None = None,
|
|
) -> None:
|
|
"""Check and handle unfilled (pending) overseas limit orders.
|
|
|
|
Called once per market loop iteration before new orders are considered.
|
|
In paper mode the KIS pending-orders API (TTTS3018R) is unsupported, so
|
|
this function returns immediately without making any API calls.
|
|
|
|
BUY pending → cancel (to free up balance) + optionally set cooldown.
|
|
SELL pending → cancel then resubmit at a wider spread (-0.4% from last
|
|
price). Resubmission is attempted at most once per key
|
|
per session to avoid infinite retry loops.
|
|
|
|
Args:
|
|
overseas_broker: OverseasBroker instance.
|
|
telegram: TelegramClient for notifications.
|
|
settings: Application settings (MODE, ENABLED_MARKETS).
|
|
sell_resubmit_counts: Mutable dict tracking SELL resubmission attempts
|
|
per "{exchange_code}:{stock_code}" key. Passed by reference so
|
|
counts persist across calls within the same session.
|
|
buy_cooldown: Optional cooldown dict shared with the main trading loop.
|
|
When provided, cancelled BUY orders are added with a
|
|
_BUY_COOLDOWN_SECONDS expiry.
|
|
"""
|
|
# Determine which exchange codes to query, deduplicating US exchanges.
|
|
# NASD alone returns all US (NASD/NYSE/AMEX) pending orders.
|
|
us_exchanges = frozenset({"NASD", "NYSE", "AMEX"})
|
|
exchange_codes: list[str] = []
|
|
seen_us = False
|
|
for market_code in settings.enabled_market_list:
|
|
market_info = MARKETS.get(market_code)
|
|
if market_info is None or market_info.is_domestic:
|
|
continue
|
|
exc_code = market_info.exchange_code
|
|
if exc_code in us_exchanges:
|
|
if not seen_us:
|
|
exchange_codes.append("NASD")
|
|
seen_us = True
|
|
elif exc_code not in exchange_codes:
|
|
exchange_codes.append(exc_code)
|
|
|
|
now = asyncio.get_event_loop().time()
|
|
|
|
for exchange_code in exchange_codes:
|
|
try:
|
|
orders = await overseas_broker.get_overseas_pending_orders(exchange_code)
|
|
except Exception as exc:
|
|
logger.warning(
|
|
"Failed to fetch pending orders for %s: %s", exchange_code, exc
|
|
)
|
|
continue
|
|
|
|
for order in orders:
|
|
try:
|
|
stock_code = order.get("pdno", "")
|
|
odno = order.get("odno", "")
|
|
sll_buy = order.get("sll_buy_dvsn_cd", "") # "01"=SELL, "02"=BUY
|
|
nccs_qty = int(order.get("nccs_qty", "0") or "0")
|
|
order_exchange = order.get("ovrs_excg_cd") or exchange_code
|
|
key = f"{order_exchange}:{stock_code}"
|
|
|
|
if not stock_code or not odno or nccs_qty <= 0:
|
|
continue
|
|
|
|
# Cancel the pending order first regardless of direction.
|
|
cancel_result = await overseas_broker.cancel_overseas_order(
|
|
exchange_code=order_exchange,
|
|
stock_code=stock_code,
|
|
odno=odno,
|
|
qty=nccs_qty,
|
|
)
|
|
if cancel_result.get("rt_cd") != "0":
|
|
logger.warning(
|
|
"Cancel failed for %s %s: rt_cd=%s msg=%s",
|
|
order_exchange,
|
|
stock_code,
|
|
cancel_result.get("rt_cd"),
|
|
cancel_result.get("msg1"),
|
|
)
|
|
continue
|
|
|
|
if sll_buy == "02":
|
|
# BUY pending → cancelled; set cooldown to avoid immediate re-buy.
|
|
if buy_cooldown is not None:
|
|
buy_cooldown[key] = now + _BUY_COOLDOWN_SECONDS
|
|
try:
|
|
await telegram.notify_unfilled_order(
|
|
stock_code=stock_code,
|
|
market=order_exchange,
|
|
action="BUY",
|
|
quantity=nccs_qty,
|
|
outcome="cancelled",
|
|
)
|
|
except Exception as notify_exc:
|
|
logger.warning("notify_unfilled_order failed: %s", notify_exc)
|
|
|
|
elif sll_buy == "01":
|
|
# SELL pending — attempt one resubmit at a wider spread.
|
|
if sell_resubmit_counts.get(key, 0) >= 1:
|
|
# Already resubmitted once — only cancel (already done above).
|
|
logger.warning(
|
|
"SELL %s %s already resubmitted once — no further resubmit",
|
|
order_exchange,
|
|
stock_code,
|
|
)
|
|
try:
|
|
await telegram.notify_unfilled_order(
|
|
stock_code=stock_code,
|
|
market=order_exchange,
|
|
action="SELL",
|
|
quantity=nccs_qty,
|
|
outcome="cancelled",
|
|
)
|
|
except Exception as notify_exc:
|
|
logger.warning(
|
|
"notify_unfilled_order failed: %s", notify_exc
|
|
)
|
|
else:
|
|
# First unfilled SELL → resubmit at last * 0.996 (-0.4%).
|
|
try:
|
|
price_data = await overseas_broker.get_overseas_price(
|
|
order_exchange, stock_code
|
|
)
|
|
last_price = float(
|
|
price_data.get("output", {}).get("last", "0") or "0"
|
|
)
|
|
if last_price <= 0:
|
|
raise ValueError(
|
|
f"Invalid price ({last_price}) for {stock_code}"
|
|
)
|
|
new_price = round(last_price * 0.996, 4)
|
|
await overseas_broker.send_overseas_order(
|
|
exchange_code=order_exchange,
|
|
stock_code=stock_code,
|
|
order_type="SELL",
|
|
quantity=nccs_qty,
|
|
price=new_price,
|
|
)
|
|
sell_resubmit_counts[key] = (
|
|
sell_resubmit_counts.get(key, 0) + 1
|
|
)
|
|
try:
|
|
await telegram.notify_unfilled_order(
|
|
stock_code=stock_code,
|
|
market=order_exchange,
|
|
action="SELL",
|
|
quantity=nccs_qty,
|
|
outcome="resubmitted",
|
|
new_price=new_price,
|
|
)
|
|
except Exception as notify_exc:
|
|
logger.warning(
|
|
"notify_unfilled_order failed: %s", notify_exc
|
|
)
|
|
except Exception as exc:
|
|
logger.error(
|
|
"SELL resubmit failed for %s %s: %s",
|
|
order_exchange,
|
|
stock_code,
|
|
exc,
|
|
)
|
|
|
|
except Exception as exc:
|
|
logger.error(
|
|
"Error handling pending order for %s: %s",
|
|
order.get("pdno", "?"),
|
|
exc,
|
|
)
|
|
|
|
|
|
async def run_daily_session(
|
|
broker: KISBroker,
|
|
overseas_broker: OverseasBroker,
|
|
scenario_engine: ScenarioEngine,
|
|
playbook_store: PlaybookStore,
|
|
pre_market_planner: PreMarketPlanner,
|
|
risk: RiskManager,
|
|
db_conn: Any,
|
|
decision_logger: DecisionLogger,
|
|
context_store: ContextStore,
|
|
criticality_assessor: CriticalityAssessor,
|
|
telegram: TelegramClient,
|
|
settings: Settings,
|
|
smart_scanner: SmartVolatilityScanner | None = None,
|
|
daily_start_eval: float = 0.0,
|
|
) -> float:
|
|
"""Execute one daily trading session.
|
|
|
|
V2 proactive strategy: 1 Gemini call for playbook generation,
|
|
then local scenario evaluation per stock (0 API calls).
|
|
|
|
Args:
|
|
daily_start_eval: Portfolio evaluation at the start of the trading day.
|
|
Used to compute intra-day P&L for the Circuit Breaker.
|
|
Pass 0.0 on the first session of each day; the function will set
|
|
it from the first balance query and return it for subsequent
|
|
sessions.
|
|
|
|
Returns:
|
|
The daily_start_eval value that should be forwarded to the next
|
|
session of the same trading day.
|
|
"""
|
|
# Get currently open markets
|
|
open_markets = get_open_markets(settings.enabled_market_list)
|
|
|
|
if not open_markets:
|
|
logger.info("No markets open for this session")
|
|
return daily_start_eval
|
|
|
|
logger.info("Starting daily trading session for %d markets", len(open_markets))
|
|
|
|
# BUY cooldown: prevents retrying stocks rejected for insufficient balance
|
|
daily_buy_cooldown: dict[str, float] = {} # "{market_code}:{stock_code}" -> expiry timestamp
|
|
|
|
# Tracks SELL resubmission attempts per "{exchange_code}:{stock_code}" (max 1 per session).
|
|
sell_resubmit_counts: dict[str, int] = {}
|
|
|
|
# Process each open market
|
|
for market in open_markets:
|
|
# Use market-local date for playbook keying
|
|
market_today = datetime.now(market.timezone).date()
|
|
|
|
# Check and handle domestic pending (unfilled) limit orders before new decisions.
|
|
if market.is_domestic:
|
|
try:
|
|
await handle_domestic_pending_orders(
|
|
broker,
|
|
telegram,
|
|
settings,
|
|
sell_resubmit_counts,
|
|
daily_buy_cooldown,
|
|
)
|
|
except Exception as exc:
|
|
logger.warning("Domestic pending order check failed: %s", exc)
|
|
|
|
# Check and handle overseas pending (unfilled) limit orders before new decisions.
|
|
if not market.is_domestic:
|
|
try:
|
|
await handle_overseas_pending_orders(
|
|
overseas_broker,
|
|
telegram,
|
|
settings,
|
|
sell_resubmit_counts,
|
|
daily_buy_cooldown,
|
|
)
|
|
except Exception as exc:
|
|
logger.warning("Pending order check failed: %s", exc)
|
|
|
|
# Dynamic stock discovery via scanner (no static watchlists)
|
|
candidates_list: list[ScanCandidate] = []
|
|
fallback_stocks: list[str] | None = None
|
|
if not market.is_domestic:
|
|
fallback_stocks = await build_overseas_symbol_universe(
|
|
db_conn=db_conn,
|
|
overseas_broker=overseas_broker,
|
|
market=market,
|
|
active_stocks={},
|
|
)
|
|
if not fallback_stocks:
|
|
logger.debug(
|
|
"No dynamic overseas symbol universe for %s;"
|
|
" scanner will use overseas ranking API",
|
|
market.code,
|
|
)
|
|
try:
|
|
candidates_list = (
|
|
await smart_scanner.scan(
|
|
market=market,
|
|
fallback_stocks=fallback_stocks,
|
|
)
|
|
if smart_scanner
|
|
else []
|
|
)
|
|
except Exception as exc:
|
|
logger.error("Smart Scanner failed for %s: %s", market.name, exc)
|
|
|
|
if not candidates_list:
|
|
logger.info("No scanner candidates for market %s — skipping", market.code)
|
|
continue
|
|
|
|
watchlist = [c.stock_code for c in candidates_list]
|
|
candidate_map = {c.stock_code: c for c in candidates_list}
|
|
logger.info("Processing market: %s (%d stocks)", market.name, len(watchlist))
|
|
|
|
# Generate or load playbook (1 Gemini API call per market per day)
|
|
playbook = playbook_store.load(market_today, market.code)
|
|
if playbook is None:
|
|
try:
|
|
playbook = await pre_market_planner.generate_playbook(
|
|
market=market.code,
|
|
candidates=candidates_list,
|
|
today=market_today,
|
|
)
|
|
playbook_store.save(playbook)
|
|
try:
|
|
await telegram.notify_playbook_generated(
|
|
market=market.code,
|
|
stock_count=playbook.stock_count,
|
|
scenario_count=playbook.scenario_count,
|
|
token_count=playbook.token_count,
|
|
)
|
|
except Exception as exc:
|
|
logger.warning("Playbook notification failed: %s", exc)
|
|
logger.info(
|
|
"Generated playbook for %s: %d stocks, %d scenarios",
|
|
market.code, playbook.stock_count, playbook.scenario_count,
|
|
)
|
|
except Exception as exc:
|
|
logger.error("Playbook generation failed for %s: %s", market.code, exc)
|
|
try:
|
|
await telegram.notify_playbook_failed(
|
|
market=market.code, reason=str(exc)[:200],
|
|
)
|
|
except Exception as notify_exc:
|
|
logger.warning("Playbook failed notification error: %s", notify_exc)
|
|
playbook = PreMarketPlanner._empty_playbook(market_today, market.code)
|
|
|
|
# Collect market data for all stocks from scanner
|
|
stocks_data = []
|
|
for stock_code in watchlist:
|
|
try:
|
|
if market.is_domestic:
|
|
current_price, price_change_pct, foreigner_net = (
|
|
await _retry_connection(
|
|
broker.get_current_price,
|
|
stock_code,
|
|
label=stock_code,
|
|
)
|
|
)
|
|
else:
|
|
price_data = await _retry_connection(
|
|
overseas_broker.get_overseas_price,
|
|
market.exchange_code,
|
|
stock_code,
|
|
label=f"{stock_code}@{market.exchange_code}",
|
|
)
|
|
current_price = safe_float(
|
|
price_data.get("output", {}).get("last", "0")
|
|
)
|
|
# Fallback: if price API returns 0, use scanner candidate price
|
|
if current_price <= 0:
|
|
cand_lookup = candidate_map.get(stock_code)
|
|
if cand_lookup and cand_lookup.price > 0:
|
|
logger.debug(
|
|
"Price API returned 0 for %s; using scanner candidate price %.4f",
|
|
stock_code,
|
|
cand_lookup.price,
|
|
)
|
|
current_price = cand_lookup.price
|
|
foreigner_net = 0.0
|
|
price_change_pct = safe_float(
|
|
price_data.get("output", {}).get("rate", "0")
|
|
)
|
|
# Fall back to scanner candidate price if API returns 0.
|
|
if current_price <= 0:
|
|
cand_lookup = candidate_map.get(stock_code)
|
|
if cand_lookup and cand_lookup.price > 0:
|
|
current_price = cand_lookup.price
|
|
logger.debug(
|
|
"Price API returned 0 for %s; using scanner price %.4f",
|
|
stock_code,
|
|
current_price,
|
|
)
|
|
|
|
stock_data: dict[str, Any] = {
|
|
"stock_code": stock_code,
|
|
"market_name": market.name,
|
|
"current_price": current_price,
|
|
"foreigner_net": foreigner_net,
|
|
"price_change_pct": price_change_pct,
|
|
}
|
|
# Enrich with scanner metrics
|
|
cand = candidate_map.get(stock_code)
|
|
if cand:
|
|
stock_data["rsi"] = cand.rsi
|
|
stock_data["volume_ratio"] = cand.volume_ratio
|
|
stocks_data.append(stock_data)
|
|
except Exception as exc:
|
|
logger.error("Failed to fetch data for %s: %s", stock_code, exc)
|
|
continue
|
|
|
|
if not stocks_data:
|
|
logger.warning("No valid stock data for market %s", market.code)
|
|
continue
|
|
|
|
# Get balance data once for the market (read-only — safe to retry)
|
|
try:
|
|
if market.is_domestic:
|
|
balance_data = await _retry_connection(
|
|
broker.get_balance, label=f"balance:{market.code}"
|
|
)
|
|
else:
|
|
balance_data = await _retry_connection(
|
|
overseas_broker.get_overseas_balance,
|
|
market.exchange_code,
|
|
label=f"overseas_balance:{market.exchange_code}",
|
|
)
|
|
except ConnectionError as exc:
|
|
logger.error(
|
|
"Balance fetch failed for market %s after all retries — skipping market: %s",
|
|
market.code,
|
|
exc,
|
|
)
|
|
continue
|
|
|
|
if market.is_domestic:
|
|
output2 = balance_data.get("output2", [{}])
|
|
total_eval = safe_float(
|
|
output2[0].get("tot_evlu_amt", "0")
|
|
) if output2 else 0
|
|
total_cash = safe_float(
|
|
output2[0].get("dnca_tot_amt", "0")
|
|
) if output2 else 0
|
|
purchase_total = safe_float(
|
|
output2[0].get("pchs_amt_smtl_amt", "0")
|
|
) if output2 else 0
|
|
else:
|
|
output2 = balance_data.get("output2", [{}])
|
|
if isinstance(output2, list) and output2:
|
|
balance_info = output2[0]
|
|
elif isinstance(output2, dict):
|
|
balance_info = output2
|
|
else:
|
|
balance_info = {}
|
|
|
|
total_eval = safe_float(balance_info.get("frcr_evlu_tota", "0") or "0")
|
|
purchase_total = safe_float(
|
|
balance_info.get("frcr_buy_amt_smtl", "0") or "0"
|
|
)
|
|
|
|
# Fetch available foreign currency cash via inquire-psamount (TTTS3007R/VTTS3007R).
|
|
# TTTS3012R output2 does not include a cash/deposit field — frcr_dncl_amt_2 does not exist.
|
|
# Use the first stock with a valid price as the reference for the buying power query.
|
|
# Source: 한국투자증권 오픈API 전체문서 (20260221) — '해외주식 매수가능금액조회' 시트
|
|
total_cash = 0.0
|
|
ref_stock = next(
|
|
(s for s in stocks_data if s.get("current_price", 0) > 0), None
|
|
)
|
|
if ref_stock:
|
|
try:
|
|
ps_data = await overseas_broker.get_overseas_buying_power(
|
|
market.exchange_code,
|
|
ref_stock["stock_code"],
|
|
ref_stock["current_price"],
|
|
)
|
|
total_cash = safe_float(
|
|
ps_data.get("output", {}).get("ovrs_ord_psbl_amt", "0") or "0"
|
|
)
|
|
except ConnectionError as exc:
|
|
logger.warning(
|
|
"Could not fetch overseas buying power for %s: %s",
|
|
market.exchange_code,
|
|
exc,
|
|
)
|
|
|
|
# Paper mode fallback: VTS overseas balance API often fails for many accounts.
|
|
# Only activate in paper mode — live mode must use real balance from KIS.
|
|
if (
|
|
total_cash <= 0
|
|
and settings.MODE == "paper"
|
|
and settings.PAPER_OVERSEAS_CASH > 0
|
|
):
|
|
total_cash = settings.PAPER_OVERSEAS_CASH
|
|
|
|
# Capture the day's opening portfolio value on the first market processed
|
|
# in this session. Used to compute intra-day P&L for the CB instead of
|
|
# the cumulative purchase_total which spans the entire account history.
|
|
if daily_start_eval <= 0 and total_eval > 0:
|
|
daily_start_eval = total_eval
|
|
logger.info(
|
|
"Daily CB baseline set: total_eval=%.2f (first balance of the day)",
|
|
daily_start_eval,
|
|
)
|
|
|
|
# Daily P&L: compare current eval vs start-of-day eval.
|
|
# Falls back to purchase_total if daily_start_eval is unavailable (e.g. paper
|
|
# mode where balance API returns 0 for all values).
|
|
if daily_start_eval > 0:
|
|
pnl_pct = (total_eval - daily_start_eval) / daily_start_eval * 100
|
|
else:
|
|
pnl_pct = (
|
|
((total_eval - purchase_total) / purchase_total * 100)
|
|
if purchase_total > 0
|
|
else 0.0
|
|
)
|
|
portfolio_data = {
|
|
"portfolio_pnl_pct": pnl_pct,
|
|
"total_cash": total_cash,
|
|
"total_eval": total_eval,
|
|
}
|
|
|
|
# Evaluate scenarios for each stock (local, no API calls)
|
|
logger.info(
|
|
"Evaluating %d stocks against playbook for %s",
|
|
len(stocks_data), market.name,
|
|
)
|
|
for stock_data in stocks_data:
|
|
stock_code = stock_data["stock_code"]
|
|
match = scenario_engine.evaluate(
|
|
playbook, stock_code, stock_data, portfolio_data,
|
|
)
|
|
decision = TradeDecision(
|
|
action=match.action.value,
|
|
confidence=match.confidence,
|
|
rationale=match.rationale,
|
|
)
|
|
|
|
logger.info(
|
|
"Decision for %s (%s): %s (confidence=%d)",
|
|
stock_code,
|
|
market.name,
|
|
decision.action,
|
|
decision.confidence,
|
|
)
|
|
|
|
# BUY 중복 방지: 브로커 잔고 기반 (미체결 SELL 리밋 주문 보호)
|
|
if decision.action == "BUY":
|
|
daily_existing = get_open_position(db_conn, stock_code, market.code)
|
|
if not daily_existing:
|
|
# SELL 지정가 접수 후 미체결 시 DB는 종료로 기록되나 브로커는 여전히 보유 중.
|
|
# 국내/해외 모두 라이브 브로커 잔고를 authoritative source로 사용.
|
|
broker_qty = _extract_held_qty_from_balance(
|
|
balance_data, stock_code, is_domestic=market.is_domestic
|
|
)
|
|
if broker_qty > 0:
|
|
daily_existing = {"price": 0.0, "quantity": broker_qty}
|
|
if daily_existing:
|
|
decision = TradeDecision(
|
|
action="HOLD",
|
|
confidence=decision.confidence,
|
|
rationale=(
|
|
f"Already holding {stock_code} "
|
|
f"(entry={daily_existing['price']:.4f}, "
|
|
f"qty={daily_existing['quantity']})"
|
|
),
|
|
)
|
|
logger.info(
|
|
"BUY suppressed for %s (%s): already holding open position",
|
|
stock_code,
|
|
market.name,
|
|
)
|
|
|
|
# Log decision
|
|
context_snapshot = {
|
|
"L1": {
|
|
"current_price": stock_data["current_price"],
|
|
"foreigner_net": stock_data["foreigner_net"],
|
|
},
|
|
"L2": {
|
|
"total_eval": total_eval,
|
|
"total_cash": total_cash,
|
|
"purchase_total": purchase_total,
|
|
"pnl_pct": pnl_pct,
|
|
},
|
|
"scenario_match": match.match_details,
|
|
}
|
|
input_data = {
|
|
"current_price": stock_data["current_price"],
|
|
"foreigner_net": stock_data["foreigner_net"],
|
|
"total_eval": total_eval,
|
|
"total_cash": total_cash,
|
|
"pnl_pct": pnl_pct,
|
|
}
|
|
|
|
decision_id = decision_logger.log_decision(
|
|
stock_code=stock_code,
|
|
market=market.code,
|
|
exchange_code=market.exchange_code,
|
|
action=decision.action,
|
|
confidence=decision.confidence,
|
|
rationale=decision.rationale,
|
|
context_snapshot=context_snapshot,
|
|
input_data=input_data,
|
|
)
|
|
|
|
# Execute if actionable
|
|
quantity = 0
|
|
trade_price = stock_data["current_price"]
|
|
trade_pnl = 0.0
|
|
order_succeeded = True
|
|
if decision.action in ("BUY", "SELL"):
|
|
daily_broker_held_qty = (
|
|
_extract_held_qty_from_balance(
|
|
balance_data, stock_code, is_domestic=market.is_domestic
|
|
)
|
|
if decision.action == "SELL"
|
|
else 0
|
|
)
|
|
quantity = _determine_order_quantity(
|
|
action=decision.action,
|
|
current_price=stock_data["current_price"],
|
|
total_cash=total_cash,
|
|
candidate=candidate_map.get(stock_code),
|
|
settings=settings,
|
|
broker_held_qty=daily_broker_held_qty,
|
|
)
|
|
if quantity <= 0:
|
|
logger.info(
|
|
"Skip %s %s (%s): no affordable quantity (cash=%.2f, price=%.2f)",
|
|
decision.action,
|
|
stock_code,
|
|
market.name,
|
|
total_cash,
|
|
stock_data["current_price"],
|
|
)
|
|
continue
|
|
order_amount = stock_data["current_price"] * quantity
|
|
|
|
# Check BUY cooldown (insufficient balance)
|
|
if decision.action == "BUY":
|
|
daily_cooldown_key = f"{market.code}:{stock_code}"
|
|
daily_cooldown_until = daily_buy_cooldown.get(daily_cooldown_key, 0.0)
|
|
now = asyncio.get_event_loop().time()
|
|
if now < daily_cooldown_until:
|
|
remaining = int(daily_cooldown_until - now)
|
|
logger.info(
|
|
"Skip BUY %s (%s): insufficient-balance cooldown active (%ds remaining)",
|
|
stock_code,
|
|
market.name,
|
|
remaining,
|
|
)
|
|
continue
|
|
|
|
# Risk check
|
|
# SELL orders do not consume cash (they receive it), so fat-finger
|
|
# check is skipped for SELLs — only circuit breaker applies.
|
|
try:
|
|
if decision.action == "SELL":
|
|
risk.check_circuit_breaker(pnl_pct)
|
|
else:
|
|
risk.validate_order(
|
|
current_pnl_pct=pnl_pct,
|
|
order_amount=order_amount,
|
|
total_cash=total_cash,
|
|
)
|
|
except FatFingerRejected as exc:
|
|
try:
|
|
await telegram.notify_fat_finger(
|
|
stock_code=stock_code,
|
|
order_amount=exc.order_amount,
|
|
total_cash=exc.total_cash,
|
|
max_pct=exc.max_pct,
|
|
)
|
|
except Exception as notify_exc:
|
|
logger.warning("Fat finger notification failed: %s", notify_exc)
|
|
continue # Skip this order
|
|
except CircuitBreakerTripped as exc:
|
|
logger.critical("Circuit breaker tripped — stopping session")
|
|
try:
|
|
await telegram.notify_circuit_breaker(
|
|
pnl_pct=exc.pnl_pct,
|
|
threshold=exc.threshold,
|
|
)
|
|
except Exception as notify_exc:
|
|
logger.warning(
|
|
"Circuit breaker notification failed: %s", notify_exc
|
|
)
|
|
raise
|
|
|
|
# Send order
|
|
order_succeeded = True
|
|
try:
|
|
if market.is_domestic:
|
|
# Use limit orders (지정가) for domestic stocks.
|
|
# KRX tick rounding applied via kr_round_down.
|
|
if decision.action == "BUY":
|
|
order_price = kr_round_down(
|
|
stock_data["current_price"] * 1.002
|
|
)
|
|
else:
|
|
order_price = kr_round_down(
|
|
stock_data["current_price"] * 0.998
|
|
)
|
|
result = await broker.send_order(
|
|
stock_code=stock_code,
|
|
order_type=decision.action,
|
|
quantity=quantity,
|
|
price=order_price,
|
|
)
|
|
else:
|
|
# KIS VTS only accepts limit orders; use 0.5% premium for BUY
|
|
if decision.action == "BUY":
|
|
order_price = round(stock_data["current_price"] * 1.005, 4)
|
|
else:
|
|
order_price = stock_data["current_price"]
|
|
result = await overseas_broker.send_overseas_order(
|
|
exchange_code=market.exchange_code,
|
|
stock_code=stock_code,
|
|
order_type=decision.action,
|
|
quantity=quantity,
|
|
price=order_price, # limit order
|
|
)
|
|
if result.get("rt_cd", "") != "0":
|
|
order_succeeded = False
|
|
daily_msg1 = result.get("msg1") or ""
|
|
logger.warning(
|
|
"Overseas order not accepted for %s: rt_cd=%s msg=%s",
|
|
stock_code,
|
|
result.get("rt_cd"),
|
|
daily_msg1,
|
|
)
|
|
if decision.action == "BUY" and "주문가능금액" in daily_msg1:
|
|
daily_cooldown_key = f"{market.code}:{stock_code}"
|
|
daily_buy_cooldown[daily_cooldown_key] = (
|
|
asyncio.get_event_loop().time() + _BUY_COOLDOWN_SECONDS
|
|
)
|
|
logger.info(
|
|
"BUY cooldown set for %s: %.0fs (insufficient balance)",
|
|
stock_code,
|
|
_BUY_COOLDOWN_SECONDS,
|
|
)
|
|
logger.info("Order result: %s", result.get("msg1", "OK"))
|
|
|
|
# Notify trade execution (only on success)
|
|
if order_succeeded:
|
|
try:
|
|
await telegram.notify_trade_execution(
|
|
stock_code=stock_code,
|
|
market=market.name,
|
|
action=decision.action,
|
|
quantity=quantity,
|
|
price=stock_data["current_price"],
|
|
confidence=decision.confidence,
|
|
)
|
|
except Exception as exc:
|
|
logger.warning("Telegram notification failed: %s", exc)
|
|
except Exception as exc:
|
|
logger.error(
|
|
"Order execution failed for %s: %s", stock_code, exc
|
|
)
|
|
continue
|
|
|
|
if decision.action == "SELL" and order_succeeded:
|
|
buy_trade = get_latest_buy_trade(db_conn, stock_code, market.code)
|
|
if buy_trade and buy_trade.get("price") is not None:
|
|
buy_price = float(buy_trade["price"])
|
|
buy_qty = int(buy_trade.get("quantity") or 1)
|
|
trade_pnl = (trade_price - buy_price) * buy_qty
|
|
decision_logger.update_outcome(
|
|
decision_id=buy_trade["decision_id"],
|
|
pnl=trade_pnl,
|
|
accuracy=1 if trade_pnl > 0 else 0,
|
|
)
|
|
|
|
# Log trade (skip if order was rejected by API)
|
|
if decision.action in ("BUY", "SELL") and not order_succeeded:
|
|
continue
|
|
log_trade(
|
|
conn=db_conn,
|
|
stock_code=stock_code,
|
|
action=decision.action,
|
|
confidence=decision.confidence,
|
|
rationale=decision.rationale,
|
|
quantity=quantity,
|
|
price=trade_price,
|
|
pnl=trade_pnl,
|
|
market=market.code,
|
|
exchange_code=market.exchange_code,
|
|
decision_id=decision_id,
|
|
mode=settings.MODE,
|
|
)
|
|
|
|
logger.info("Daily trading session completed")
|
|
return daily_start_eval
|
|
|
|
|
|
async def _handle_market_close(
|
|
market_code: str,
|
|
market_name: str,
|
|
market_timezone: Any,
|
|
telegram: TelegramClient,
|
|
context_aggregator: ContextAggregator,
|
|
daily_reviewer: DailyReviewer,
|
|
evolution_optimizer: EvolutionOptimizer | None = None,
|
|
) -> None:
|
|
"""Handle market-close tasks: notify, aggregate, review, and store context."""
|
|
await telegram.notify_market_close(market_name, 0.0)
|
|
|
|
market_date = datetime.now(market_timezone).date().isoformat()
|
|
context_aggregator.aggregate_daily_from_trades(
|
|
date=market_date,
|
|
market=market_code,
|
|
)
|
|
|
|
scorecard = daily_reviewer.generate_scorecard(market_date, market_code)
|
|
daily_reviewer.store_scorecard_in_context(scorecard)
|
|
|
|
lessons = await daily_reviewer.generate_lessons(scorecard)
|
|
if lessons:
|
|
scorecard.lessons = lessons
|
|
daily_reviewer.store_scorecard_in_context(scorecard)
|
|
|
|
await telegram.send_message(
|
|
f"<b>Daily Review ({market_code})</b>\n"
|
|
f"Date: {scorecard.date}\n"
|
|
f"Decisions: {scorecard.total_decisions}\n"
|
|
f"P&L: {scorecard.total_pnl:+.2f}\n"
|
|
f"Win Rate: {scorecard.win_rate:.2f}%\n"
|
|
f"Lessons: {', '.join(scorecard.lessons) if scorecard.lessons else 'N/A'}"
|
|
)
|
|
|
|
if evolution_optimizer is not None:
|
|
await _run_evolution_loop(
|
|
evolution_optimizer=evolution_optimizer,
|
|
telegram=telegram,
|
|
market_code=market_code,
|
|
market_date=market_date,
|
|
)
|
|
|
|
|
|
def _run_context_scheduler(
|
|
scheduler: ContextScheduler, now: datetime | None = None,
|
|
) -> None:
|
|
"""Run periodic context scheduler tasks and log when anything executes."""
|
|
result = scheduler.run_if_due(now=now)
|
|
if any(
|
|
[
|
|
result.weekly,
|
|
result.monthly,
|
|
result.quarterly,
|
|
result.annual,
|
|
result.legacy,
|
|
result.cleanup,
|
|
]
|
|
):
|
|
logger.info(
|
|
(
|
|
"Context scheduler ran (weekly=%s, monthly=%s, quarterly=%s, "
|
|
"annual=%s, legacy=%s, cleanup=%s)"
|
|
),
|
|
result.weekly,
|
|
result.monthly,
|
|
result.quarterly,
|
|
result.annual,
|
|
result.legacy,
|
|
result.cleanup,
|
|
)
|
|
|
|
|
|
async def _run_evolution_loop(
|
|
evolution_optimizer: EvolutionOptimizer,
|
|
telegram: TelegramClient,
|
|
market_code: str,
|
|
market_date: str,
|
|
) -> None:
|
|
"""Run evolution loop once at US close (end of trading day)."""
|
|
if not market_code.startswith("US"):
|
|
return
|
|
|
|
try:
|
|
pr_info = await evolution_optimizer.evolve()
|
|
except Exception as exc:
|
|
logger.warning("Evolution loop failed on %s: %s", market_date, exc)
|
|
return
|
|
|
|
if pr_info is None:
|
|
logger.info("Evolution loop skipped on %s (no actionable failures)", market_date)
|
|
return
|
|
|
|
try:
|
|
await telegram.send_message(
|
|
"<b>Evolution Update</b>\n"
|
|
f"Date: {market_date}\n"
|
|
f"PR: {pr_info.get('title', 'N/A')}\n"
|
|
f"Branch: {pr_info.get('branch', 'N/A')}\n"
|
|
f"Status: {pr_info.get('status', 'N/A')}"
|
|
)
|
|
except Exception as exc:
|
|
logger.warning("Evolution notification failed on %s: %s", market_date, exc)
|
|
|
|
|
|
def _start_dashboard_server(settings: Settings) -> threading.Thread | None:
|
|
"""Start FastAPI dashboard in a daemon thread when enabled."""
|
|
if not settings.DASHBOARD_ENABLED:
|
|
return None
|
|
|
|
# Validate dependencies before spawning the thread so startup failures are
|
|
# reported synchronously (avoids the misleading "started" → "failed" log pair).
|
|
try:
|
|
import uvicorn # noqa: F401
|
|
from src.dashboard import create_dashboard_app # noqa: F401
|
|
except ImportError as exc:
|
|
logger.warning("Dashboard server unavailable (missing dependency): %s", exc)
|
|
return None
|
|
|
|
def _serve() -> None:
|
|
try:
|
|
import uvicorn
|
|
from src.dashboard import create_dashboard_app
|
|
|
|
app = create_dashboard_app(settings.DB_PATH, mode=settings.MODE)
|
|
uvicorn.run(
|
|
app,
|
|
host=settings.DASHBOARD_HOST,
|
|
port=settings.DASHBOARD_PORT,
|
|
log_level="info",
|
|
)
|
|
except Exception as exc:
|
|
logger.warning("Dashboard server stopped unexpectedly: %s", exc)
|
|
|
|
thread = threading.Thread(
|
|
target=_serve,
|
|
name="dashboard-server",
|
|
daemon=True,
|
|
)
|
|
thread.start()
|
|
logger.info(
|
|
"Dashboard server started at http://%s:%d",
|
|
settings.DASHBOARD_HOST,
|
|
settings.DASHBOARD_PORT,
|
|
)
|
|
return thread
|
|
|
|
|
|
def _apply_dashboard_flag(settings: Settings, dashboard_flag: bool) -> Settings:
|
|
"""Apply CLI dashboard flag over environment settings."""
|
|
if dashboard_flag and not settings.DASHBOARD_ENABLED:
|
|
return settings.model_copy(update={"DASHBOARD_ENABLED": True})
|
|
return settings
|
|
|
|
|
|
async def run(settings: Settings) -> None:
|
|
"""Main async loop — iterate over open markets on a timer."""
|
|
broker = KISBroker(settings)
|
|
overseas_broker = OverseasBroker(broker)
|
|
brain = GeminiClient(settings)
|
|
risk = RiskManager(settings)
|
|
db_conn = init_db(settings.DB_PATH)
|
|
decision_logger = DecisionLogger(db_conn)
|
|
context_store = ContextStore(db_conn)
|
|
context_aggregator = ContextAggregator(db_conn)
|
|
context_scheduler = ContextScheduler(
|
|
aggregator=context_aggregator,
|
|
store=context_store,
|
|
)
|
|
evolution_optimizer = EvolutionOptimizer(settings)
|
|
|
|
# V2 proactive strategy components
|
|
context_selector = ContextSelector(context_store)
|
|
scenario_engine = ScenarioEngine()
|
|
playbook_store = PlaybookStore(db_conn)
|
|
daily_reviewer = DailyReviewer(db_conn, context_store, gemini_client=brain)
|
|
pre_market_planner = PreMarketPlanner(
|
|
gemini_client=brain,
|
|
context_store=context_store,
|
|
context_selector=context_selector,
|
|
settings=settings,
|
|
)
|
|
|
|
# Track playbooks per market (in-memory cache)
|
|
playbooks: dict[str, DayPlaybook] = {}
|
|
|
|
# Initialize Telegram notifications
|
|
telegram = TelegramClient(
|
|
bot_token=settings.TELEGRAM_BOT_TOKEN,
|
|
chat_id=settings.TELEGRAM_CHAT_ID,
|
|
enabled=settings.TELEGRAM_ENABLED,
|
|
notification_filter=NotificationFilter(
|
|
trades=settings.TELEGRAM_NOTIFY_TRADES,
|
|
market_open_close=settings.TELEGRAM_NOTIFY_MARKET_OPEN_CLOSE,
|
|
fat_finger=settings.TELEGRAM_NOTIFY_FAT_FINGER,
|
|
system_events=settings.TELEGRAM_NOTIFY_SYSTEM_EVENTS,
|
|
playbook=settings.TELEGRAM_NOTIFY_PLAYBOOK,
|
|
scenario_match=settings.TELEGRAM_NOTIFY_SCENARIO_MATCH,
|
|
errors=settings.TELEGRAM_NOTIFY_ERRORS,
|
|
),
|
|
)
|
|
|
|
# Initialize Telegram command handler
|
|
command_handler = TelegramCommandHandler(telegram)
|
|
|
|
# Register basic commands
|
|
async def handle_help() -> None:
|
|
"""Handle /help command."""
|
|
message = (
|
|
"<b>📖 Available Commands</b>\n\n"
|
|
"/help - Show available commands\n"
|
|
"/status - Trading status (mode, markets, P&L)\n"
|
|
"/positions - Current holdings\n"
|
|
"/report - Daily summary report\n"
|
|
"/scenarios - Today's playbook scenarios\n"
|
|
"/review - Recent scorecards\n"
|
|
"/dashboard - Dashboard URL/status\n"
|
|
"/stop - Pause trading\n"
|
|
"/resume - Resume trading\n"
|
|
"/notify - Show notification filter status\n"
|
|
"/notify [key] [on|off] - Toggle notification type\n"
|
|
" Keys: trades, market, scenario, playbook,\n"
|
|
" system, fatfinger, errors, all"
|
|
)
|
|
await telegram.send_message(message)
|
|
|
|
async def handle_stop() -> None:
|
|
"""Handle /stop command - pause trading."""
|
|
if not pause_trading.is_set():
|
|
await telegram.send_message("⏸️ Trading is already paused")
|
|
return
|
|
|
|
pause_trading.clear()
|
|
logger.info("Trading paused via Telegram command")
|
|
await telegram.send_message(
|
|
"<b>⏸️ Trading Paused</b>\n\n"
|
|
"All trading operations have been suspended.\n"
|
|
"Use /resume to restart trading."
|
|
)
|
|
|
|
async def handle_resume() -> None:
|
|
"""Handle /resume command - resume trading."""
|
|
if pause_trading.is_set():
|
|
await telegram.send_message("▶️ Trading is already active")
|
|
return
|
|
|
|
pause_trading.set()
|
|
logger.info("Trading resumed via Telegram command")
|
|
await telegram.send_message(
|
|
"<b>▶️ Trading Resumed</b>\n\n"
|
|
"Trading operations have been restarted."
|
|
)
|
|
|
|
async def handle_status() -> None:
|
|
"""Handle /status command - show trading status."""
|
|
try:
|
|
# Get trading status
|
|
trading_status = "Active" if pause_trading.is_set() else "Paused"
|
|
|
|
# Calculate P&L from balance data
|
|
try:
|
|
balance = await broker.get_balance()
|
|
output2 = balance.get("output2", [{}])
|
|
if output2:
|
|
total_eval = safe_float(output2[0].get("tot_evlu_amt", "0"))
|
|
purchase_total = safe_float(output2[0].get("pchs_amt_smtl_amt", "0"))
|
|
current_pnl = (
|
|
((total_eval - purchase_total) / purchase_total * 100)
|
|
if purchase_total > 0
|
|
else 0.0
|
|
)
|
|
pnl_str = f"{current_pnl:+.2f}%"
|
|
else:
|
|
pnl_str = "N/A"
|
|
except Exception as exc:
|
|
logger.warning("Failed to get P&L: %s", exc)
|
|
pnl_str = "N/A"
|
|
|
|
# Format market list
|
|
markets_str = ", ".join(settings.enabled_market_list)
|
|
|
|
message = (
|
|
"<b>📊 Trading Status</b>\n\n"
|
|
f"<b>Mode:</b> {settings.MODE.upper()}\n"
|
|
f"<b>Markets:</b> {markets_str}\n"
|
|
f"<b>Trading:</b> {trading_status}\n\n"
|
|
f"<b>Current P&L:</b> {pnl_str}\n"
|
|
f"<b>Circuit Breaker:</b> {risk._cb_threshold:.1f}%"
|
|
)
|
|
await telegram.send_message(message)
|
|
|
|
except Exception as exc:
|
|
logger.error("Error in /status handler: %s", exc)
|
|
await telegram.send_message(
|
|
"<b>⚠️ Error</b>\n\nFailed to retrieve trading status."
|
|
)
|
|
|
|
async def handle_positions() -> None:
|
|
"""Handle /positions command - show account summary."""
|
|
try:
|
|
# Get account balance
|
|
balance = await broker.get_balance()
|
|
output2 = balance.get("output2", [{}])
|
|
|
|
if not output2:
|
|
await telegram.send_message(
|
|
"<b>💼 Account Summary</b>\n\n"
|
|
"No balance information available."
|
|
)
|
|
return
|
|
|
|
# Extract account-level data
|
|
total_eval = safe_float(output2[0].get("tot_evlu_amt", "0"))
|
|
total_cash = safe_float(output2[0].get("dnca_tot_amt", "0"))
|
|
purchase_total = safe_float(output2[0].get("pchs_amt_smtl_amt", "0"))
|
|
|
|
# Calculate P&L
|
|
pnl_pct = (
|
|
((total_eval - purchase_total) / purchase_total * 100)
|
|
if purchase_total > 0
|
|
else 0.0
|
|
)
|
|
pnl_sign = "+" if pnl_pct >= 0 else ""
|
|
|
|
message = (
|
|
"<b>💼 Account Summary</b>\n\n"
|
|
f"<b>Total Evaluation:</b> ₩{total_eval:,.0f}\n"
|
|
f"<b>Available Cash:</b> ₩{total_cash:,.0f}\n"
|
|
f"<b>Purchase Total:</b> ₩{purchase_total:,.0f}\n"
|
|
f"<b>P&L:</b> {pnl_sign}{pnl_pct:.2f}%\n\n"
|
|
"<i>Note: Individual position details require API enhancement</i>"
|
|
)
|
|
await telegram.send_message(message)
|
|
|
|
except Exception as exc:
|
|
logger.error("Error in /positions handler: %s", exc)
|
|
await telegram.send_message(
|
|
"<b>⚠️ Error</b>\n\nFailed to retrieve positions."
|
|
)
|
|
|
|
async def handle_report() -> None:
|
|
"""Handle /report command - show daily summary metrics."""
|
|
try:
|
|
today = datetime.now(UTC).date().isoformat()
|
|
trade_row = db_conn.execute(
|
|
"""
|
|
SELECT COUNT(*) AS trade_count,
|
|
COALESCE(SUM(pnl), 0.0) AS total_pnl,
|
|
SUM(CASE WHEN pnl > 0 THEN 1 ELSE 0 END) AS wins
|
|
FROM trades
|
|
WHERE DATE(timestamp) = ?
|
|
""",
|
|
(today,),
|
|
).fetchone()
|
|
decision_row = db_conn.execute(
|
|
"""
|
|
SELECT COUNT(*) AS decision_count,
|
|
COALESCE(AVG(confidence), 0.0) AS avg_confidence
|
|
FROM decision_logs
|
|
WHERE DATE(timestamp) = ?
|
|
""",
|
|
(today,),
|
|
).fetchone()
|
|
|
|
trade_count = int(trade_row[0] if trade_row else 0)
|
|
total_pnl = float(trade_row[1] if trade_row else 0.0)
|
|
wins = int(trade_row[2] if trade_row and trade_row[2] is not None else 0)
|
|
decision_count = int(decision_row[0] if decision_row else 0)
|
|
avg_confidence = float(decision_row[1] if decision_row else 0.0)
|
|
win_rate = (wins / trade_count * 100.0) if trade_count > 0 else 0.0
|
|
|
|
await telegram.send_message(
|
|
"<b>📈 Daily Report</b>\n\n"
|
|
f"<b>Date:</b> {today}\n"
|
|
f"<b>Trades:</b> {trade_count}\n"
|
|
f"<b>Total P&L:</b> {total_pnl:+.2f}\n"
|
|
f"<b>Win Rate:</b> {win_rate:.2f}%\n"
|
|
f"<b>Decisions:</b> {decision_count}\n"
|
|
f"<b>Avg Confidence:</b> {avg_confidence:.2f}"
|
|
)
|
|
except Exception as exc:
|
|
logger.error("Error in /report handler: %s", exc)
|
|
await telegram.send_message(
|
|
"<b>⚠️ Error</b>\n\nFailed to generate daily report."
|
|
)
|
|
|
|
async def handle_scenarios() -> None:
|
|
"""Handle /scenarios command - show today's playbook scenarios."""
|
|
try:
|
|
today = datetime.now(UTC).date().isoformat()
|
|
rows = db_conn.execute(
|
|
"""
|
|
SELECT market, playbook_json
|
|
FROM playbooks
|
|
WHERE date = ?
|
|
ORDER BY market
|
|
""",
|
|
(today,),
|
|
).fetchall()
|
|
|
|
if not rows:
|
|
await telegram.send_message(
|
|
"<b>🧠 Today's Scenarios</b>\n\nNo playbooks found for today."
|
|
)
|
|
return
|
|
|
|
lines = ["<b>🧠 Today's Scenarios</b>", ""]
|
|
for market, playbook_json in rows:
|
|
lines.append(f"<b>{market}</b>")
|
|
playbook_data = {}
|
|
try:
|
|
playbook_data = json.loads(playbook_json)
|
|
except Exception:
|
|
playbook_data = {}
|
|
|
|
stock_playbooks = playbook_data.get("stock_playbooks", [])
|
|
if not stock_playbooks:
|
|
lines.append("- No scenarios")
|
|
lines.append("")
|
|
continue
|
|
|
|
for stock_pb in stock_playbooks:
|
|
stock_code = stock_pb.get("stock_code", "N/A")
|
|
scenarios = stock_pb.get("scenarios", [])
|
|
for sc in scenarios:
|
|
action = sc.get("action", "HOLD")
|
|
confidence = sc.get("confidence", 0)
|
|
lines.append(f"- {stock_code}: {action} ({confidence})")
|
|
lines.append("")
|
|
|
|
await telegram.send_message("\n".join(lines).strip())
|
|
except Exception as exc:
|
|
logger.error("Error in /scenarios handler: %s", exc)
|
|
await telegram.send_message(
|
|
"<b>⚠️ Error</b>\n\nFailed to retrieve scenarios."
|
|
)
|
|
|
|
async def handle_review() -> None:
|
|
"""Handle /review command - show recent scorecards."""
|
|
try:
|
|
rows = db_conn.execute(
|
|
"""
|
|
SELECT timeframe, key, value
|
|
FROM contexts
|
|
WHERE layer = 'L6_DAILY' AND key LIKE 'scorecard_%'
|
|
ORDER BY updated_at DESC
|
|
LIMIT 5
|
|
"""
|
|
).fetchall()
|
|
|
|
if not rows:
|
|
await telegram.send_message(
|
|
"<b>📝 Recent Reviews</b>\n\nNo scorecards available."
|
|
)
|
|
return
|
|
|
|
lines = ["<b>📝 Recent Reviews</b>", ""]
|
|
for timeframe, key, value in rows:
|
|
scorecard = json.loads(value)
|
|
market = key.replace("scorecard_", "")
|
|
total_pnl = float(scorecard.get("total_pnl", 0.0))
|
|
win_rate = float(scorecard.get("win_rate", 0.0))
|
|
decisions = int(scorecard.get("total_decisions", 0))
|
|
lines.append(
|
|
f"- {timeframe} {market}: P&L {total_pnl:+.2f}, "
|
|
f"Win {win_rate:.2f}%, Decisions {decisions}"
|
|
)
|
|
|
|
await telegram.send_message("\n".join(lines))
|
|
except Exception as exc:
|
|
logger.error("Error in /review handler: %s", exc)
|
|
await telegram.send_message(
|
|
"<b>⚠️ Error</b>\n\nFailed to retrieve reviews."
|
|
)
|
|
|
|
async def handle_notify(args: list[str]) -> None:
|
|
"""Handle /notify [key] [on|off] — query or change notification filters."""
|
|
status = telegram.filter_status()
|
|
|
|
# /notify — show current state
|
|
if not args:
|
|
lines = ["<b>🔔 알림 필터 현재 상태</b>\n"]
|
|
for key, enabled in status.items():
|
|
icon = "✅" if enabled else "❌"
|
|
lines.append(f"{icon} <code>{key}</code>")
|
|
lines.append("\n<i>예) /notify scenario off</i>")
|
|
lines.append("<i>예) /notify all off</i>")
|
|
await telegram.send_message("\n".join(lines))
|
|
return
|
|
|
|
# /notify [key] — missing on/off
|
|
if len(args) == 1:
|
|
key = args[0].lower()
|
|
if key == "all":
|
|
lines = ["<b>🔔 알림 필터 현재 상태</b>\n"]
|
|
for k, enabled in status.items():
|
|
icon = "✅" if enabled else "❌"
|
|
lines.append(f"{icon} <code>{k}</code>")
|
|
await telegram.send_message("\n".join(lines))
|
|
elif key in status:
|
|
icon = "✅" if status[key] else "❌"
|
|
await telegram.send_message(
|
|
f"<b>🔔 {key}</b>: {icon} {'켜짐' if status[key] else '꺼짐'}\n"
|
|
f"<i>/notify {key} on 또는 /notify {key} off</i>"
|
|
)
|
|
else:
|
|
valid = ", ".join(list(status.keys()) + ["all"])
|
|
await telegram.send_message(
|
|
f"❌ 알 수 없는 키: <code>{key}</code>\n"
|
|
f"유효한 키: {valid}"
|
|
)
|
|
return
|
|
|
|
# /notify [key] [on|off]
|
|
key, toggle = args[0].lower(), args[1].lower()
|
|
if toggle not in ("on", "off"):
|
|
await telegram.send_message("❌ on 또는 off 를 입력해 주세요.")
|
|
return
|
|
value = toggle == "on"
|
|
if telegram.set_notification(key, value):
|
|
icon = "✅" if value else "❌"
|
|
label = f"전체 알림" if key == "all" else f"<code>{key}</code> 알림"
|
|
state = "켜짐" if value else "꺼짐"
|
|
await telegram.send_message(f"{icon} {label} → {state}")
|
|
logger.info("Notification filter changed via Telegram: %s=%s", key, value)
|
|
else:
|
|
valid = ", ".join(list(telegram.filter_status().keys()) + ["all"])
|
|
await telegram.send_message(
|
|
f"❌ 알 수 없는 키: <code>{key}</code>\n"
|
|
f"유효한 키: {valid}"
|
|
)
|
|
|
|
async def handle_dashboard() -> None:
|
|
"""Handle /dashboard command - show dashboard URL if enabled."""
|
|
if not settings.DASHBOARD_ENABLED:
|
|
await telegram.send_message(
|
|
"<b>🖥️ Dashboard</b>\n\nDashboard is not enabled."
|
|
)
|
|
return
|
|
|
|
url = f"http://{settings.DASHBOARD_HOST}:{settings.DASHBOARD_PORT}"
|
|
await telegram.send_message(
|
|
"<b>🖥️ Dashboard</b>\n\n"
|
|
f"<b>URL:</b> {url}"
|
|
)
|
|
|
|
command_handler.register_command("help", handle_help)
|
|
command_handler.register_command("stop", handle_stop)
|
|
command_handler.register_command("resume", handle_resume)
|
|
command_handler.register_command("status", handle_status)
|
|
command_handler.register_command("positions", handle_positions)
|
|
command_handler.register_command("report", handle_report)
|
|
command_handler.register_command("scenarios", handle_scenarios)
|
|
command_handler.register_command("review", handle_review)
|
|
command_handler.register_command("dashboard", handle_dashboard)
|
|
command_handler.register_command_with_args("notify", handle_notify)
|
|
|
|
# Initialize volatility hunter
|
|
volatility_analyzer = VolatilityAnalyzer(min_volume_surge=2.0, min_price_change=1.0)
|
|
# Initialize smart scanner (Python-first, AI-last pipeline)
|
|
smart_scanner = SmartVolatilityScanner(
|
|
broker=broker,
|
|
overseas_broker=overseas_broker,
|
|
volatility_analyzer=volatility_analyzer,
|
|
settings=settings,
|
|
)
|
|
|
|
# Track scan candidates per market for selection context logging
|
|
scan_candidates: dict[str, dict[str, ScanCandidate]] = {} # market -> {stock_code -> candidate}
|
|
|
|
# Active stocks per market (dynamically discovered by scanner)
|
|
active_stocks: dict[str, list[str]] = {} # market_code -> [stock_codes]
|
|
|
|
# BUY cooldown: prevents retrying a stock rejected for insufficient balance
|
|
buy_cooldown: dict[str, float] = {} # "{market_code}:{stock_code}" -> expiry timestamp
|
|
|
|
# Tracks SELL resubmission attempts per "{exchange_code}:{stock_code}" (max 1 until restart).
|
|
sell_resubmit_counts: dict[str, int] = {}
|
|
|
|
# Initialize latency control system
|
|
criticality_assessor = CriticalityAssessor(
|
|
critical_pnl_threshold=-2.5, # Near circuit breaker at -3.0%
|
|
critical_price_change_threshold=5.0, # 5% in 1 minute
|
|
critical_volume_surge_threshold=10.0, # 10x average
|
|
high_volatility_threshold=70.0,
|
|
low_volatility_threshold=30.0,
|
|
)
|
|
priority_queue = PriorityTaskQueue(max_size=1000)
|
|
_start_dashboard_server(settings)
|
|
|
|
# Track last scan time for each market
|
|
last_scan_time: dict[str, float] = {}
|
|
|
|
# Track market open/close state for notifications
|
|
_market_states: dict[str, bool] = {} # market_code -> is_open
|
|
|
|
# Trading control events
|
|
shutdown = asyncio.Event()
|
|
pause_trading = asyncio.Event()
|
|
pause_trading.set() # Default: trading enabled
|
|
|
|
def _signal_handler() -> None:
|
|
logger.info("Shutdown signal received")
|
|
shutdown.set()
|
|
|
|
loop = asyncio.get_running_loop()
|
|
for sig in (signal.SIGINT, signal.SIGTERM):
|
|
loop.add_signal_handler(sig, _signal_handler)
|
|
|
|
logger.info("The Ouroboros is alive. Mode: %s, Trading: %s", settings.MODE, settings.TRADE_MODE)
|
|
logger.info("Enabled markets: %s", settings.enabled_market_list)
|
|
|
|
# Notify system startup
|
|
try:
|
|
await telegram.notify_system_start(settings.MODE, settings.enabled_market_list)
|
|
except Exception as exc:
|
|
logger.warning("System startup notification failed: %s", exc)
|
|
|
|
# Sync broker positions → DB to prevent double-buy on restart
|
|
try:
|
|
await sync_positions_from_broker(broker, overseas_broker, db_conn, settings)
|
|
except Exception as exc:
|
|
logger.warning("Startup position sync failed (non-fatal): %s", exc)
|
|
|
|
# Start command handler
|
|
try:
|
|
await command_handler.start_polling()
|
|
except Exception as exc:
|
|
logger.warning("Failed to start command handler: %s", exc)
|
|
|
|
try:
|
|
# Branch based on trading mode
|
|
if settings.TRADE_MODE == "daily":
|
|
# Daily trading mode: batch decisions at fixed intervals
|
|
logger.info(
|
|
"Daily trading mode: %d sessions every %d hours",
|
|
settings.DAILY_SESSIONS,
|
|
settings.SESSION_INTERVAL_HOURS,
|
|
)
|
|
|
|
session_interval = settings.SESSION_INTERVAL_HOURS * 3600 # Convert to seconds
|
|
|
|
# daily_start_eval: portfolio eval captured at the first session of each
|
|
# trading day. Reset on calendar-date change so the CB measures only
|
|
# today's drawdown, not cumulative account history.
|
|
_cb_daily_start_eval: float = 0.0
|
|
_cb_last_date: str = ""
|
|
|
|
while not shutdown.is_set():
|
|
# Wait for trading to be unpaused
|
|
await pause_trading.wait()
|
|
_run_context_scheduler(context_scheduler, now=datetime.now(UTC))
|
|
|
|
# Reset intra-day CB baseline on a new calendar date
|
|
today_str = datetime.now(UTC).date().isoformat()
|
|
if today_str != _cb_last_date:
|
|
_cb_last_date = today_str
|
|
_cb_daily_start_eval = 0.0
|
|
logger.info("New trading day %s — daily CB baseline reset", today_str)
|
|
|
|
try:
|
|
_cb_daily_start_eval = await run_daily_session(
|
|
broker,
|
|
overseas_broker,
|
|
scenario_engine,
|
|
playbook_store,
|
|
pre_market_planner,
|
|
risk,
|
|
db_conn,
|
|
decision_logger,
|
|
context_store,
|
|
criticality_assessor,
|
|
telegram,
|
|
settings,
|
|
smart_scanner=smart_scanner,
|
|
daily_start_eval=_cb_daily_start_eval,
|
|
)
|
|
except CircuitBreakerTripped:
|
|
logger.critical("Circuit breaker tripped — shutting down")
|
|
await telegram.notify_circuit_breaker(
|
|
pnl_pct=settings.CIRCUIT_BREAKER_PCT,
|
|
threshold=settings.CIRCUIT_BREAKER_PCT,
|
|
)
|
|
shutdown.set()
|
|
break
|
|
except Exception as exc:
|
|
logger.exception("Daily session error: %s", exc)
|
|
|
|
# Wait for next session or shutdown
|
|
logger.info("Next session in %.1f hours", session_interval / 3600)
|
|
try:
|
|
await asyncio.wait_for(shutdown.wait(), timeout=session_interval)
|
|
except TimeoutError:
|
|
pass # Normal — time for next session
|
|
|
|
else:
|
|
# Realtime trading mode: original per-stock loop
|
|
logger.info("Realtime trading mode: 60s interval per stock")
|
|
|
|
while not shutdown.is_set():
|
|
# Wait for trading to be unpaused
|
|
await pause_trading.wait()
|
|
_run_context_scheduler(context_scheduler, now=datetime.now(UTC))
|
|
|
|
# Get currently open markets
|
|
open_markets = get_open_markets(settings.enabled_market_list)
|
|
|
|
if not open_markets:
|
|
# Notify market close for any markets that were open
|
|
for market_code, is_open in list(_market_states.items()):
|
|
if is_open:
|
|
try:
|
|
from src.markets.schedule import MARKETS
|
|
|
|
market_info = MARKETS.get(market_code)
|
|
if market_info:
|
|
await _handle_market_close(
|
|
market_code=market_code,
|
|
market_name=market_info.name,
|
|
market_timezone=market_info.timezone,
|
|
telegram=telegram,
|
|
context_aggregator=context_aggregator,
|
|
daily_reviewer=daily_reviewer,
|
|
evolution_optimizer=evolution_optimizer,
|
|
)
|
|
except Exception as exc:
|
|
logger.warning("Market close notification failed: %s", exc)
|
|
_market_states[market_code] = False
|
|
# Clear playbook for closed market (new one generated next open)
|
|
playbooks.pop(market_code, None)
|
|
|
|
# No markets open — wait until next market opens
|
|
try:
|
|
next_market, next_open_time = get_next_market_open(
|
|
settings.enabled_market_list
|
|
)
|
|
now = datetime.now(UTC)
|
|
wait_seconds = (next_open_time - now).total_seconds()
|
|
logger.info(
|
|
"No markets open. Next market: %s, opens in %.1f hours",
|
|
next_market.name,
|
|
wait_seconds / 3600,
|
|
)
|
|
await asyncio.wait_for(shutdown.wait(), timeout=wait_seconds)
|
|
except TimeoutError:
|
|
continue # Market should be open now
|
|
except ValueError as exc:
|
|
logger.error("Failed to find next market open: %s", exc)
|
|
await asyncio.sleep(TRADE_INTERVAL_SECONDS)
|
|
continue
|
|
|
|
# Process each open market
|
|
for market in open_markets:
|
|
if shutdown.is_set():
|
|
break
|
|
|
|
# Notify market open if it just opened
|
|
if not _market_states.get(market.code, False):
|
|
try:
|
|
await telegram.notify_market_open(market.name)
|
|
except Exception as exc:
|
|
logger.warning("Market open notification failed: %s", exc)
|
|
_market_states[market.code] = True
|
|
|
|
# Check and handle domestic pending (unfilled) limit orders.
|
|
if market.is_domestic:
|
|
try:
|
|
await handle_domestic_pending_orders(
|
|
broker,
|
|
telegram,
|
|
settings,
|
|
sell_resubmit_counts,
|
|
buy_cooldown,
|
|
)
|
|
except Exception as exc:
|
|
logger.warning("Domestic pending order check failed: %s", exc)
|
|
|
|
# Check and handle overseas pending (unfilled) limit orders.
|
|
if not market.is_domestic:
|
|
try:
|
|
await handle_overseas_pending_orders(
|
|
overseas_broker,
|
|
telegram,
|
|
settings,
|
|
sell_resubmit_counts,
|
|
buy_cooldown,
|
|
)
|
|
except Exception as exc:
|
|
logger.warning("Pending order check failed: %s", exc)
|
|
|
|
# Smart Scanner: dynamic stock discovery (no static watchlists)
|
|
now_timestamp = asyncio.get_event_loop().time()
|
|
last_scan = last_scan_time.get(market.code, 0.0)
|
|
rescan_interval = settings.RESCAN_INTERVAL_SECONDS
|
|
if now_timestamp - last_scan >= rescan_interval:
|
|
try:
|
|
logger.info("Smart Scanner: Scanning %s market", market.name)
|
|
|
|
fallback_stocks: list[str] | None = None
|
|
if not market.is_domestic:
|
|
fallback_stocks = await build_overseas_symbol_universe(
|
|
db_conn=db_conn,
|
|
overseas_broker=overseas_broker,
|
|
market=market,
|
|
active_stocks=active_stocks,
|
|
)
|
|
if not fallback_stocks:
|
|
logger.debug(
|
|
"No dynamic overseas symbol universe for %s;"
|
|
" scanner will use overseas ranking API",
|
|
market.code,
|
|
)
|
|
|
|
candidates = await smart_scanner.scan(
|
|
market=market,
|
|
fallback_stocks=fallback_stocks,
|
|
)
|
|
|
|
if candidates:
|
|
# Use scanner results directly as trading candidates
|
|
active_stocks[market.code] = smart_scanner.get_stock_codes(
|
|
candidates
|
|
)
|
|
|
|
# Store candidates per market for selection context logging
|
|
scan_candidates[market.code] = {
|
|
c.stock_code: c for c in candidates
|
|
}
|
|
|
|
logger.info(
|
|
"Smart Scanner: Found %d candidates for %s: %s",
|
|
len(candidates),
|
|
market.name,
|
|
[f"{c.stock_code}(RSI={c.rsi:.0f})" for c in candidates],
|
|
)
|
|
|
|
# Get market-local date for playbook keying
|
|
market_today = datetime.now(
|
|
market.timezone
|
|
).date()
|
|
|
|
# Load or generate playbook (1 Gemini call per market per day)
|
|
if market.code not in playbooks:
|
|
# Try DB first (survives process restart)
|
|
stored_pb = playbook_store.load(market_today, market.code)
|
|
if stored_pb is not None:
|
|
playbooks[market.code] = stored_pb
|
|
logger.info(
|
|
"Loaded existing playbook for %s from DB"
|
|
" (%d stocks, %d scenarios)",
|
|
market.code,
|
|
stored_pb.stock_count,
|
|
stored_pb.scenario_count,
|
|
)
|
|
else:
|
|
try:
|
|
pb = await pre_market_planner.generate_playbook(
|
|
market=market.code,
|
|
candidates=candidates,
|
|
today=market_today,
|
|
)
|
|
playbook_store.save(pb)
|
|
playbooks[market.code] = pb
|
|
try:
|
|
await telegram.notify_playbook_generated(
|
|
market=market.code,
|
|
stock_count=pb.stock_count,
|
|
scenario_count=pb.scenario_count,
|
|
token_count=pb.token_count,
|
|
)
|
|
except Exception as exc:
|
|
logger.warning(
|
|
"Playbook notification failed: %s", exc
|
|
)
|
|
except Exception as exc:
|
|
logger.error(
|
|
"Playbook generation failed for %s: %s",
|
|
market.code, exc,
|
|
)
|
|
try:
|
|
await telegram.notify_playbook_failed(
|
|
market=market.code,
|
|
reason=str(exc)[:200],
|
|
)
|
|
except Exception:
|
|
pass
|
|
playbooks[market.code] = (
|
|
PreMarketPlanner._empty_playbook(
|
|
market_today, market.code
|
|
)
|
|
)
|
|
else:
|
|
logger.info(
|
|
"Smart Scanner: No candidates for %s — no trades", market.name
|
|
)
|
|
active_stocks[market.code] = []
|
|
|
|
last_scan_time[market.code] = now_timestamp
|
|
|
|
except Exception as exc:
|
|
logger.error("Smart Scanner failed for %s: %s", market.name, exc)
|
|
|
|
# Get active stocks from scanner (dynamic, no static fallback).
|
|
# Also include currently-held positions so stop-loss /
|
|
# take-profit can fire even when a holding drops off the
|
|
# scanner. Broker balance is the source of truth here —
|
|
# unlike the local DB it reflects actual fills and any
|
|
# manual trades done outside the bot.
|
|
scanner_codes = active_stocks.get(market.code, [])
|
|
try:
|
|
if market.is_domestic:
|
|
held_balance = await broker.get_balance()
|
|
else:
|
|
held_balance = await overseas_broker.get_overseas_balance(
|
|
market.exchange_code
|
|
)
|
|
held_codes = _extract_held_codes_from_balance(
|
|
held_balance, is_domestic=market.is_domestic
|
|
)
|
|
except Exception as exc:
|
|
logger.warning(
|
|
"Failed to fetch holdings for %s: %s — skipping holdings merge",
|
|
market.name, exc,
|
|
)
|
|
held_codes = []
|
|
|
|
stock_codes = list(dict.fromkeys(scanner_codes + held_codes))
|
|
extra_held = [c for c in held_codes if c not in set(scanner_codes)]
|
|
if extra_held:
|
|
logger.info(
|
|
"Holdings added to loop for %s (not in scanner): %s",
|
|
market.name, extra_held,
|
|
)
|
|
|
|
if not stock_codes:
|
|
logger.debug("No active stocks for market %s", market.code)
|
|
continue
|
|
|
|
logger.info("Processing market: %s (%d stocks)", market.name, len(stock_codes))
|
|
|
|
# Process each stock from scanner results
|
|
for stock_code in stock_codes:
|
|
if shutdown.is_set():
|
|
break
|
|
|
|
# Get playbook for this market
|
|
market_playbook = playbooks.get(
|
|
market.code,
|
|
PreMarketPlanner._empty_playbook(
|
|
datetime.now(market.timezone).date(), market.code
|
|
),
|
|
)
|
|
|
|
# Retry logic for connection errors
|
|
for attempt in range(1, MAX_CONNECTION_RETRIES + 1):
|
|
try:
|
|
await trading_cycle(
|
|
broker,
|
|
overseas_broker,
|
|
scenario_engine,
|
|
market_playbook,
|
|
risk,
|
|
db_conn,
|
|
decision_logger,
|
|
context_store,
|
|
criticality_assessor,
|
|
telegram,
|
|
market,
|
|
stock_code,
|
|
scan_candidates,
|
|
settings,
|
|
buy_cooldown,
|
|
)
|
|
break # Success — exit retry loop
|
|
except CircuitBreakerTripped as exc:
|
|
logger.critical("Circuit breaker tripped — shutting down")
|
|
try:
|
|
await telegram.notify_circuit_breaker(
|
|
pnl_pct=exc.pnl_pct,
|
|
threshold=exc.threshold,
|
|
)
|
|
except Exception as notify_exc:
|
|
logger.warning(
|
|
"Circuit breaker notification failed: %s", notify_exc
|
|
)
|
|
raise
|
|
except ConnectionError as exc:
|
|
if attempt < MAX_CONNECTION_RETRIES:
|
|
logger.warning(
|
|
"Connection error for %s (attempt %d/%d): %s",
|
|
stock_code,
|
|
attempt,
|
|
MAX_CONNECTION_RETRIES,
|
|
exc,
|
|
)
|
|
await asyncio.sleep(2**attempt) # Exponential backoff
|
|
else:
|
|
logger.error(
|
|
"Connection error for %s (all retries exhausted): %s",
|
|
stock_code,
|
|
exc,
|
|
)
|
|
break # Give up on this stock
|
|
except Exception as exc:
|
|
logger.exception("Unexpected error for %s: %s", stock_code, exc)
|
|
break # Don't retry on unexpected errors
|
|
|
|
# Log priority queue metrics periodically
|
|
metrics = await priority_queue.get_metrics()
|
|
if metrics.total_enqueued > 0:
|
|
logger.info(
|
|
"Priority queue metrics: enqueued=%d, dequeued=%d,"
|
|
" size=%d, timeouts=%d, errors=%d",
|
|
metrics.total_enqueued,
|
|
metrics.total_dequeued,
|
|
metrics.current_size,
|
|
metrics.total_timeouts,
|
|
metrics.total_errors,
|
|
)
|
|
|
|
# Wait for next cycle or shutdown
|
|
try:
|
|
await asyncio.wait_for(shutdown.wait(), timeout=TRADE_INTERVAL_SECONDS)
|
|
except TimeoutError:
|
|
pass # Normal — timeout means it's time for next cycle
|
|
finally:
|
|
# Notify shutdown before closing resources
|
|
await telegram.notify_system_shutdown("Normal shutdown")
|
|
# Clean up resources
|
|
await command_handler.stop_polling()
|
|
await broker.close()
|
|
await telegram.close()
|
|
db_conn.close()
|
|
logger.info("The Ouroboros rests.")
|
|
|
|
|
|
def main() -> None:
|
|
parser = argparse.ArgumentParser(description="The Ouroboros Trading Agent")
|
|
parser.add_argument(
|
|
"--mode",
|
|
choices=["paper", "live"],
|
|
default="paper",
|
|
help="Trading mode (default: paper)",
|
|
)
|
|
parser.add_argument(
|
|
"--dashboard",
|
|
action="store_true",
|
|
help="Enable FastAPI dashboard server in background thread",
|
|
)
|
|
args = parser.parse_args()
|
|
|
|
setup_logging()
|
|
settings = Settings(MODE=args.mode) # type: ignore[call-arg]
|
|
settings = _apply_dashboard_flag(settings, args.dashboard)
|
|
asyncio.run(run(settings))
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|