21970038df
- live_executor.py: PG LISTEN/NOTIFY接收信号, 币安API开仓+挂保护单 - signal_engine: 有信号时发NOTIFY new_signal - live_trades表: 含binance_order_id, slippage_bps, protection_gap_ms等实盘字段 - 支持GCP Secret Manager + env fallback读API Key - 支持testnet/production环境切换
1077 lines
47 KiB
Python
1077 lines
47 KiB
Python
"""
|
||
signal_engine.py — V5 短线交易信号引擎（PostgreSQL版）
|
||
|
||
架构：
|
||
- 独立PM2进程，每5秒循环
|
||
- 内存滚动窗口计算指标（CVD/ATR/VWAP/大单阈值）
|
||
- 启动时回灌历史数据（冷启动warmup）
|
||
- 信号评估：核心3条件+加分3条件
|
||
- 输出：signal_indicators表 + signal_trades表 + Discord推送
|
||
|
||
指标：
|
||
- CVD_fast (30m滚动) / CVD_mid (4h滚动) / CVD_day (UTC日内)
|
||
- ATR (5m, 14周期)
|
||
- VWAP_30m
|
||
- 大单阈值 P95/P99 (24h滚动)
|
||
"""
|
||
|
||
import logging
|
||
import os
|
||
import time
|
||
import json
|
||
from collections import deque
|
||
from datetime import datetime, timezone
|
||
from typing import Any, Optional
|
||
|
||
from db import get_sync_conn, init_schema
|
||
|
||
logging.basicConfig(
|
||
level=logging.INFO,
|
||
format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
|
||
handlers=[
|
||
logging.StreamHandler(),
|
||
logging.FileHandler(os.path.join(os.path.dirname(__file__), "..", "signal-engine.log")),
|
||
],
|
||
)
|
||
logger = logging.getLogger("signal-engine")
|
||
|
||
SYMBOLS = ["BTCUSDT", "ETHUSDT", "XRPUSDT", "SOLUSDT"]
|
||
LOOP_INTERVAL = 15 # 秒（从5改15，CPU降60%，信号质量无影响）
|
||
STRATEGY_DIR = os.path.join(os.path.dirname(__file__), "strategies")
|
||
DEFAULT_STRATEGY_FILES = ["v51_baseline.json", "v52_8signals.json"]
|
||
|
||
|
||
def load_strategy_configs() -> list[dict]:
|
||
configs = []
|
||
for filename in DEFAULT_STRATEGY_FILES:
|
||
path = os.path.join(STRATEGY_DIR, filename)
|
||
try:
|
||
with open(path, "r", encoding="utf-8") as f:
|
||
cfg = json.load(f)
|
||
if isinstance(cfg, dict) and cfg.get("name"):
|
||
configs.append(cfg)
|
||
except FileNotFoundError:
|
||
logger.warning(f"策略配置缺失: {path}")
|
||
except Exception as e:
|
||
logger.error(f"策略配置加载失败 {path}: {e}")
|
||
if not configs:
|
||
logger.warning("未加载到策略配置，回退到v51_baseline默认配置")
|
||
configs.append(
|
||
{
|
||
"name": "v51_baseline",
|
||
"threshold": 75,
|
||
"signals": ["cvd", "p99", "accel", "ls_ratio", "oi", "coinbase_premium"],
|
||
"tp_sl": {"sl_multiplier": 2.0, "tp1_multiplier": 1.5, "tp2_multiplier": 3.0},
|
||
}
|
||
)
|
||
return configs
|
||
|
||
# ─── 模拟盘配置 ───────────────────────────────────────────────────
|
||
PAPER_TRADING_ENABLED = False # 总开关（兼容旧逻辑）
|
||
PAPER_ENABLED_STRATEGIES = [] # 分策略开关: ["v51_baseline", "v52_8signals"]
|
||
PAPER_INITIAL_BALANCE = 10000 # 虚拟初始资金 USDT
|
||
PAPER_RISK_PER_TRADE = 0.02 # 单笔风险 2%（即200U）
|
||
PAPER_MAX_POSITIONS = 4 # 每套策略最大同时持仓数
|
||
PAPER_TIER_MULTIPLIER = { # 档位仓位倍数
|
||
"light": 0.5, # 轻仓: 1%
|
||
"standard": 1.0, # 标准: 2%
|
||
"heavy": 1.5, # 加仓: 3%
|
||
}
|
||
PAPER_FEE_RATE = 0.0005 # Taker手续费 0.05%（开仓+平仓各一次）
|
||
|
||
def load_paper_config():
|
||
"""从配置文件加载模拟盘开关和参数"""
|
||
global PAPER_TRADING_ENABLED, PAPER_ENABLED_STRATEGIES, PAPER_INITIAL_BALANCE, PAPER_RISK_PER_TRADE, PAPER_MAX_POSITIONS
|
||
config_path = os.path.join(os.path.dirname(__file__), "paper_config.json")
|
||
try:
|
||
with open(config_path, "r") as f:
|
||
import json as _json2
|
||
cfg = _json2.load(f)
|
||
PAPER_TRADING_ENABLED = cfg.get("enabled", False)
|
||
PAPER_ENABLED_STRATEGIES = cfg.get("enabled_strategies", [])
|
||
PAPER_INITIAL_BALANCE = cfg.get("initial_balance", 10000)
|
||
PAPER_RISK_PER_TRADE = cfg.get("risk_per_trade", 0.02)
|
||
PAPER_MAX_POSITIONS = cfg.get("max_positions", 4)
|
||
except FileNotFoundError:
|
||
pass
|
||
|
||
|
||
def is_strategy_enabled(strategy_name: str) -> bool:
|
||
"""检查某策略是否启用模拟盘"""
|
||
if not PAPER_TRADING_ENABLED:
|
||
return False
|
||
# 如果enabled_strategies为空，走旧逻辑（全部启用）
|
||
if not PAPER_ENABLED_STRATEGIES:
|
||
return True
|
||
return strategy_name in PAPER_ENABLED_STRATEGIES
|
||
# ─────────────────────────────────────────────────────────────────
|
||
|
||
# 窗口大小（毫秒）
|
||
WINDOW_FAST = 30 * 60 * 1000 # 30分钟
|
||
WINDOW_MID = 4 * 3600 * 1000 # 4小时
|
||
WINDOW_DAY = 24 * 3600 * 1000 # 24小时
|
||
WINDOW_VWAP = 30 * 60 * 1000 # 30分钟
|
||
|
||
# ATR参数
|
||
ATR_PERIOD_MS = 5 * 60 * 1000
|
||
ATR_LENGTH = 14
|
||
|
||
# 信号冷却
|
||
COOLDOWN_MS = 10 * 60 * 1000
|
||
|
||
|
||
def fetch_market_indicators(symbol: str) -> dict:
|
||
"""从PG读取最新的market_indicators数据，解析JSONB提取关键数值"""
|
||
import json as _json
|
||
with get_sync_conn() as conn:
|
||
with conn.cursor() as cur:
|
||
indicators = {}
|
||
for ind_type in ["long_short_ratio", "top_trader_position", "open_interest_hist", "coinbase_premium", "funding_rate"]:
|
||
cur.execute(
|
||
"SELECT value FROM market_indicators WHERE symbol=%s AND indicator_type=%s ORDER BY timestamp_ms DESC LIMIT 1",
|
||
(symbol, ind_type),
|
||
)
|
||
row = cur.fetchone()
|
||
if not row or row[0] is None:
|
||
indicators[ind_type] = None
|
||
continue
|
||
# value可能是JSON字符串或已解析的dict
|
||
val = row[0]
|
||
if isinstance(val, str):
|
||
try:
|
||
val = _json.loads(val)
|
||
except Exception:
|
||
indicators[ind_type] = None
|
||
continue
|
||
# 提取关键数值
|
||
if ind_type == "long_short_ratio":
|
||
indicators[ind_type] = float(val.get("longShortRatio", 1.0))
|
||
elif ind_type == "top_trader_position":
|
||
indicators[ind_type] = float(val.get("longAccount", 0.5))
|
||
elif ind_type == "open_interest_hist":
|
||
indicators[ind_type] = float(val.get("sumOpenInterestValue", 0))
|
||
elif ind_type == "coinbase_premium":
|
||
indicators[ind_type] = float(val.get("premium_pct", 0))
|
||
elif ind_type == "funding_rate":
|
||
indicators[ind_type] = float(val.get("fundingRate", val.get("lastFundingRate", 0)))
|
||
return indicators
|
||
|
||
|
||
def to_float(value: Any) -> Optional[float]:
|
||
try:
|
||
return float(value) if value is not None else None
|
||
except (TypeError, ValueError):
|
||
return None
|
||
|
||
|
||
# ─── 滚动窗口 ───────────────────────────────────────────────────
|
||
|
||
class TradeWindow:
|
||
def __init__(self, window_ms: int):
|
||
self.window_ms = window_ms
|
||
self.trades: deque = deque()
|
||
self.buy_vol = 0.0
|
||
self.sell_vol = 0.0
|
||
self.pq_sum = 0.0
|
||
self.q_sum = 0.0
|
||
|
||
def add(self, time_ms: int, qty: float, price: float, is_buyer_maker: int):
|
||
self.trades.append((time_ms, qty, price, is_buyer_maker))
|
||
pq = price * qty
|
||
self.pq_sum += pq
|
||
self.q_sum += qty
|
||
if is_buyer_maker == 0:
|
||
self.buy_vol += qty
|
||
else:
|
||
self.sell_vol += qty
|
||
|
||
def trim(self, now_ms: int):
|
||
cutoff = now_ms - self.window_ms
|
||
while self.trades and self.trades[0][0] < cutoff:
|
||
t_ms, qty, price, ibm = self.trades.popleft()
|
||
self.pq_sum -= price * qty
|
||
self.q_sum -= qty
|
||
if ibm == 0:
|
||
self.buy_vol -= qty
|
||
else:
|
||
self.sell_vol -= qty
|
||
|
||
@property
|
||
def cvd(self) -> float:
|
||
return self.buy_vol - self.sell_vol
|
||
|
||
@property
|
||
def vwap(self) -> float:
|
||
return self.pq_sum / self.q_sum if self.q_sum > 0 else 0.0
|
||
|
||
|
||
class ATRCalculator:
|
||
def __init__(self, period_ms: int = ATR_PERIOD_MS, length: int = ATR_LENGTH):
|
||
self.period_ms = period_ms
|
||
self.length = length
|
||
self.candles: deque = deque(maxlen=length + 1)
|
||
self.current_candle: Optional[dict] = None
|
||
self.atr_history: deque = deque(maxlen=288)
|
||
|
||
def update(self, time_ms: int, price: float):
|
||
bar_ms = (time_ms // self.period_ms) * self.period_ms
|
||
if self.current_candle is None or self.current_candle["bar"] != bar_ms:
|
||
if self.current_candle is not None:
|
||
self.candles.append(self.current_candle)
|
||
self.current_candle = {"bar": bar_ms, "open": price, "high": price, "low": price, "close": price}
|
||
else:
|
||
c = self.current_candle
|
||
c["high"] = max(c["high"], price)
|
||
c["low"] = min(c["low"], price)
|
||
c["close"] = price
|
||
|
||
@property
|
||
def atr(self) -> float:
|
||
if len(self.candles) < 2:
|
||
return 0.0
|
||
trs = []
|
||
candles_list = list(self.candles)
|
||
for i in range(1, len(candles_list)):
|
||
prev_close = candles_list[i-1]["close"]
|
||
c = candles_list[i]
|
||
tr = max(c["high"] - c["low"], abs(c["high"] - prev_close), abs(c["low"] - prev_close))
|
||
trs.append(tr)
|
||
if not trs:
|
||
return 0.0
|
||
atr_val = trs[0]
|
||
for tr in trs[1:]:
|
||
atr_val = (atr_val * (self.length - 1) + tr) / self.length
|
||
return atr_val
|
||
|
||
@property
|
||
def atr_percentile(self) -> float:
|
||
current = self.atr
|
||
if current == 0:
|
||
return 50.0
|
||
self.atr_history.append(current)
|
||
if len(self.atr_history) < 10:
|
||
return 50.0
|
||
sorted_hist = sorted(self.atr_history)
|
||
rank = sum(1 for x in sorted_hist if x <= current)
|
||
return (rank / len(sorted_hist)) * 100
|
||
|
||
|
||
# ─── FR历史最大值缓存（每小时更新）───────────────────────────────
|
||
_max_fr_cache: dict = {} # {symbol: max_abs_fr}
|
||
_max_fr_updated: float = 0
|
||
|
||
def get_max_fr(symbol: str) -> float:
|
||
"""获取该币种历史最大|FR|，每小时刷新一次"""
|
||
global _max_fr_cache, _max_fr_updated
|
||
now = time.time()
|
||
if now - _max_fr_updated > 3600 or symbol not in _max_fr_cache:
|
||
try:
|
||
with get_sync_conn() as conn:
|
||
with conn.cursor() as cur:
|
||
cur.execute(
|
||
"SELECT symbol, MAX(ABS((value->>'fundingRate')::float)) as max_fr "
|
||
"FROM market_indicators WHERE indicator_type='funding_rate' "
|
||
"GROUP BY symbol"
|
||
)
|
||
for row in cur.fetchall():
|
||
_max_fr_cache[row[0]] = row[1] if row[1] else 0.0001
|
||
_max_fr_updated = now
|
||
except Exception as e:
|
||
logger.warning(f"get_max_fr error: {e}")
|
||
return _max_fr_cache.get(symbol, 0.0001) # 默认0.01%防除零
|
||
|
||
|
||
class SymbolState:
|
||
def __init__(self, symbol: str):
|
||
self.symbol = symbol
|
||
self.win_fast = TradeWindow(WINDOW_FAST)
|
||
self.win_mid = TradeWindow(WINDOW_MID)
|
||
self.win_day = TradeWindow(WINDOW_DAY)
|
||
self.win_vwap = TradeWindow(WINDOW_VWAP)
|
||
self.atr_calc = ATRCalculator()
|
||
self.last_processed_id = 0
|
||
self.warmup = True
|
||
self.prev_cvd_fast = 0.0
|
||
self.prev_cvd_fast_slope = 0.0
|
||
self.prev_oi_value = 0.0
|
||
self.market_indicators = fetch_market_indicators(symbol)
|
||
self.last_signal_ts: dict[str, int] = {}
|
||
self.last_signal_dir: dict[str, str] = {}
|
||
self.recent_large_trades: deque = deque()
|
||
|
||
def process_trade(self, agg_id: int, time_ms: int, price: float, qty: float, is_buyer_maker: int):
|
||
now_ms = time_ms
|
||
self.win_fast.add(time_ms, qty, price, is_buyer_maker)
|
||
self.win_mid.add(time_ms, qty, price, is_buyer_maker)
|
||
self.win_day.add(time_ms, qty, price, is_buyer_maker)
|
||
self.win_vwap.add(time_ms, qty, price, is_buyer_maker)
|
||
self.atr_calc.update(time_ms, price)
|
||
self.win_fast.trim(now_ms)
|
||
self.win_mid.trim(now_ms)
|
||
self.win_day.trim(now_ms)
|
||
self.win_vwap.trim(now_ms)
|
||
self.last_processed_id = agg_id
|
||
|
||
def compute_p95_p99(self) -> tuple:
|
||
if len(self.win_day.trades) < 100:
|
||
return 5.0, 10.0
|
||
qtys = sorted([t[1] for t in self.win_day.trades])
|
||
n = len(qtys)
|
||
p95 = qtys[int(n * 0.95)]
|
||
p99 = qtys[int(n * 0.99)]
|
||
if "BTC" in self.symbol:
|
||
p95 = max(p95, 5.0); p99 = max(p99, 10.0)
|
||
else:
|
||
p95 = max(p95, 50.0); p99 = max(p99, 100.0)
|
||
return p95, p99
|
||
|
||
def update_large_trades(self, now_ms: int, p99: float):
|
||
cutoff = now_ms - 15 * 60 * 1000
|
||
while self.recent_large_trades and self.recent_large_trades[0][0] < cutoff:
|
||
self.recent_large_trades.popleft()
|
||
# 只检查新trade（避免重复添加）
|
||
seen = set(t[0] for t in self.recent_large_trades) # time_ms作为去重key
|
||
for t in self.win_fast.trades:
|
||
if t[1] >= p99 and t[0] > cutoff and t[0] not in seen:
|
||
self.recent_large_trades.append((t[0], t[1], t[3]))
|
||
seen.add(t[0])
|
||
|
||
def build_evaluation_snapshot(self, now_ms: int) -> dict:
|
||
cvd_fast = self.win_fast.cvd
|
||
cvd_mid = self.win_mid.cvd
|
||
cvd_day = self.win_day.cvd
|
||
vwap = self.win_vwap.vwap
|
||
atr = self.atr_calc.atr
|
||
atr_pct = self.atr_calc.atr_percentile
|
||
p95, p99 = self.compute_p95_p99()
|
||
self.update_large_trades(now_ms, p99)
|
||
price = vwap if vwap > 0 else 0
|
||
cvd_fast_slope = cvd_fast - self.prev_cvd_fast
|
||
cvd_fast_accel = cvd_fast_slope - self.prev_cvd_fast_slope
|
||
self.prev_cvd_fast = cvd_fast
|
||
self.prev_cvd_fast_slope = cvd_fast_slope
|
||
|
||
oi_value = to_float(self.market_indicators.get("open_interest_hist"))
|
||
if oi_value is None or self.prev_oi_value == 0:
|
||
oi_change = 0.0
|
||
environment_score = 10
|
||
else:
|
||
oi_change = (oi_value - self.prev_oi_value) / self.prev_oi_value if self.prev_oi_value > 0 else 0.0
|
||
if oi_change >= 0.03:
|
||
environment_score = 15
|
||
elif oi_change > 0:
|
||
environment_score = 10
|
||
else:
|
||
environment_score = 5
|
||
if oi_value is not None and oi_value > 0:
|
||
self.prev_oi_value = oi_value
|
||
|
||
return {
|
||
"cvd_fast": cvd_fast,
|
||
"cvd_mid": cvd_mid,
|
||
"cvd_day": cvd_day,
|
||
"vwap": vwap,
|
||
"atr": atr,
|
||
"atr_pct": atr_pct,
|
||
"p95": p95,
|
||
"p99": p99,
|
||
"price": price,
|
||
"cvd_fast_slope": cvd_fast_slope,
|
||
"cvd_fast_accel": cvd_fast_accel,
|
||
"oi_change": oi_change,
|
||
"environment_score": environment_score,
|
||
"oi_value": oi_value,
|
||
}
|
||
|
||
def fetch_recent_liquidations(self, window_ms: int = 300000):
|
||
"""Fetch last 5min liquidation totals from liquidations table"""
|
||
now_ms = int(time.time() * 1000)
|
||
cutoff = now_ms - window_ms
|
||
with get_sync_conn() as conn:
|
||
with conn.cursor() as cur:
|
||
cur.execute(
|
||
"""
|
||
SELECT
|
||
COALESCE(SUM(CASE WHEN side='LONG' THEN usd_value ELSE 0 END), 0) as long_liq,
|
||
COALESCE(SUM(CASE WHEN side='SHORT' THEN usd_value ELSE 0 END), 0) as short_liq
|
||
FROM liquidations
|
||
WHERE symbol=%s AND trade_time >= %s
|
||
""",
|
||
(self.symbol, cutoff),
|
||
)
|
||
row = cur.fetchone()
|
||
if row:
|
||
return {"long_usd": row[0], "short_usd": row[1]}
|
||
return None
|
||
|
||
def evaluate_signal(self, now_ms: int, strategy_cfg: Optional[dict] = None, snapshot: Optional[dict] = None) -> dict:
|
||
strategy_cfg = strategy_cfg or {}
|
||
strategy_name = strategy_cfg.get("name", "v51_baseline")
|
||
strategy_threshold = int(strategy_cfg.get("threshold", 75))
|
||
enabled_signals = set(strategy_cfg.get("signals", []))
|
||
|
||
snap = snapshot or self.build_evaluation_snapshot(now_ms)
|
||
cvd_fast = snap["cvd_fast"]
|
||
cvd_mid = snap["cvd_mid"]
|
||
vwap = snap["vwap"]
|
||
atr = snap["atr"]
|
||
atr_pct = snap["atr_pct"]
|
||
p95 = snap["p95"]
|
||
p99 = snap["p99"]
|
||
price = snap["price"]
|
||
cvd_fast_slope = snap["cvd_fast_slope"]
|
||
cvd_fast_accel = snap["cvd_fast_accel"]
|
||
oi_change = snap["oi_change"]
|
||
environment_score = snap["environment_score"]
|
||
|
||
result = {
|
||
"strategy": strategy_name,
|
||
"cvd_fast": cvd_fast,
|
||
"cvd_mid": cvd_mid,
|
||
"cvd_day": snap["cvd_day"],
|
||
"cvd_fast_slope": cvd_fast_slope,
|
||
"atr": atr,
|
||
"atr_pct": atr_pct,
|
||
"vwap": vwap,
|
||
"price": price,
|
||
"p95": p95,
|
||
"p99": p99,
|
||
"signal": None,
|
||
"direction": None,
|
||
"score": 0,
|
||
"tier": None,
|
||
"factors": {},
|
||
}
|
||
|
||
if self.warmup or price == 0 or atr == 0:
|
||
return result
|
||
|
||
# 判断倾向方向（用于评分展示，即使冷却或方向不一致也计算）
|
||
no_direction = False
|
||
last_signal_ts = self.last_signal_ts.get(strategy_name, 0)
|
||
in_cooldown = now_ms - last_signal_ts < COOLDOWN_MS
|
||
|
||
if cvd_fast > 0 and cvd_mid > 0:
|
||
direction = "LONG"
|
||
elif cvd_fast < 0 and cvd_mid < 0:
|
||
direction = "SHORT"
|
||
else:
|
||
direction = "LONG" if cvd_fast > 0 else "SHORT"
|
||
no_direction = True
|
||
|
||
# V5.1 五层评分体系（总分100，方向层可因加速额外+5）
|
||
# 1) 方向层（45分 + 5加速分）
|
||
direction_score = 0
|
||
if (direction == "LONG" and cvd_fast > 0) or (direction == "SHORT" and cvd_fast < 0):
|
||
direction_score += 15
|
||
if (direction == "LONG" and cvd_mid > 0) or (direction == "SHORT" and cvd_mid < 0):
|
||
direction_score += 15
|
||
has_adverse_p99 = any(
|
||
(direction == "LONG" and lt[2] == 1) or (direction == "SHORT" and lt[2] == 0)
|
||
for lt in self.recent_large_trades
|
||
)
|
||
has_aligned_p99 = any(
|
||
(direction == "LONG" and lt[2] == 0) or (direction == "SHORT" and lt[2] == 1)
|
||
for lt in self.recent_large_trades
|
||
)
|
||
if has_aligned_p99:
|
||
direction_score += 15
|
||
elif not has_adverse_p99:
|
||
direction_score += 10
|
||
accel_bonus = 0
|
||
if "accel" in enabled_signals and (
|
||
(direction == "LONG" and cvd_fast_accel > 0) or (direction == "SHORT" and cvd_fast_accel < 0)
|
||
):
|
||
accel_bonus = int(strategy_cfg.get("accel_bonus", 5))
|
||
|
||
# 2) 拥挤层（20分）- market_indicators缺失时给中间分
|
||
long_short_ratio = to_float(self.market_indicators.get("long_short_ratio"))
|
||
if long_short_ratio is None:
|
||
ls_score = 5
|
||
elif (direction == "SHORT" and long_short_ratio > 2.0) or (direction == "LONG" and long_short_ratio < 0.5):
|
||
ls_score = 10
|
||
else:
|
||
ls_score = 5
|
||
|
||
top_trader_position = to_float(self.market_indicators.get("top_trader_position"))
|
||
if top_trader_position is None:
|
||
top_trader_score = 5
|
||
else:
|
||
if direction == "LONG":
|
||
if top_trader_position >= 0.55:
|
||
top_trader_score = 10
|
||
elif top_trader_position <= 0.45:
|
||
top_trader_score = 0
|
||
else:
|
||
top_trader_score = 5
|
||
else:
|
||
if top_trader_position <= 0.45:
|
||
top_trader_score = 10
|
||
elif top_trader_position >= 0.55:
|
||
top_trader_score = 0
|
||
else:
|
||
top_trader_score = 5
|
||
crowding_score = ls_score + top_trader_score
|
||
|
||
# Funding Rate scoring (拥挤层加分)
|
||
# Read from market_indicators table
|
||
funding_rate = to_float(self.market_indicators.get("funding_rate"))
|
||
fr_score = 0.0
|
||
if "funding_rate" in enabled_signals and funding_rate is not None and funding_rate != 0:
|
||
max_fr = get_max_fr(self.symbol)
|
||
fr_abs = abs(funding_rate)
|
||
# 线性映射: raw = (|当前FR| / 历史最大FR) × 5, clamp到5
|
||
raw_score = min(fr_abs / max_fr * 5.0, 5.0)
|
||
# FR评估"资金费率对当前方向有多有利"，0~5分，不扣分
|
||
# 做多+FR负(空头付费给多头)=有利 → 给分
|
||
# 做空+FR正(多头付费给空头)=有利 → 给分
|
||
# 其他情况(FR方向不利) → 0分
|
||
if (direction == "LONG" and funding_rate < 0) or (direction == "SHORT" and funding_rate > 0):
|
||
fr_score = round(raw_score, 2) # 有利，给分
|
||
else:
|
||
fr_score = 0.0 # 不利，不给分也不扣分
|
||
|
||
# 4) 确认层（15分）
|
||
confirmation_score = 15 if (
|
||
(direction == "LONG" and cvd_fast > 0 and cvd_mid > 0)
|
||
or (direction == "SHORT" and cvd_fast < 0 and cvd_mid < 0)
|
||
) else 0
|
||
|
||
# Liquidation scoring (确认层加分)
|
||
liq_score = 0
|
||
liq_data = None
|
||
if "liquidation" in enabled_signals:
|
||
liq_data = self.fetch_recent_liquidations()
|
||
if liq_data:
|
||
liq_long_usd = liq_data.get("long_usd", 0)
|
||
liq_short_usd = liq_data.get("short_usd", 0)
|
||
total = liq_long_usd + liq_short_usd
|
||
if total > 0:
|
||
# ratio = 空头清算 / 多头清算
|
||
# ratio高 = 空头爆仓多 = 有利于做多
|
||
if liq_long_usd > 0:
|
||
ratio = liq_short_usd / liq_long_usd
|
||
else:
|
||
ratio = float("inf") if liq_short_usd > 0 else 1.0
|
||
|
||
# 梯度评分：ratio越极端分越高
|
||
def liq_ratio_to_score(r: float) -> int:
|
||
if r >= 2.0: return 5
|
||
if r >= 1.5: return 3
|
||
if r >= 1.2: return 1
|
||
return 0
|
||
|
||
if direction == "LONG":
|
||
# 做多：空头爆仓多(ratio高)有利
|
||
liq_score = liq_ratio_to_score(ratio)
|
||
else:
|
||
# 做空：多头爆仓多(ratio低=1/ratio高)有利
|
||
inv_ratio = (1.0 / ratio) if ratio > 0 else float("inf")
|
||
liq_score = liq_ratio_to_score(inv_ratio)
|
||
|
||
# 5) 辅助层（5分）
|
||
coinbase_premium = to_float(self.market_indicators.get("coinbase_premium"))
|
||
if coinbase_premium is None:
|
||
aux_score = 2
|
||
elif (direction == "LONG" and coinbase_premium > 0.0005) or (direction == "SHORT" and coinbase_premium < -0.0005):
|
||
aux_score = 5
|
||
elif abs(coinbase_premium) <= 0.0005:
|
||
aux_score = 2
|
||
else:
|
||
aux_score = 0
|
||
|
||
# 按策略配置的权重缩放各层分数
|
||
weights = strategy_cfg.get("weights", {})
|
||
w_direction = weights.get("direction", 45)
|
||
w_crowding = weights.get("crowding", 20)
|
||
w_fr = weights.get("funding_rate", 0)
|
||
w_environment = weights.get("environment", 15)
|
||
w_confirmation = weights.get("confirmation", 15)
|
||
w_liq = weights.get("liquidation", 0)
|
||
w_auxiliary = weights.get("auxiliary", 5)
|
||
|
||
# 原始评分范围: direction 0~45, crowding 0~20, environment 0~15, confirmation 0~15, auxiliary 0~5
|
||
# FR 0~5 (or -5~5), Liq 0~5
|
||
# 缩放到配置权重
|
||
scaled_direction = min(round(direction_score / 45 * w_direction) + accel_bonus, w_direction)
|
||
scaled_crowding = round(crowding_score / 20 * w_crowding)
|
||
scaled_fr = fr_score if w_fr > 0 else 0 # FR already 0~5 range, matches w_fr=5
|
||
scaled_environment = round(environment_score / 15 * w_environment)
|
||
scaled_confirmation = round(confirmation_score / 15 * w_confirmation)
|
||
scaled_liq = liq_score if w_liq > 0 else 0 # Liq already 0~5 range, matches w_liq=5
|
||
scaled_auxiliary = round(aux_score / 5 * w_auxiliary)
|
||
|
||
total_score = scaled_direction + scaled_crowding + scaled_fr + scaled_environment + scaled_confirmation + scaled_liq + scaled_auxiliary
|
||
total_score = max(0, min(round(total_score, 1), 100)) # clamp 0~100, 保留1位小数
|
||
|
||
result["score"] = total_score
|
||
result["direction"] = direction
|
||
result["factors"] = {
|
||
"direction": {
|
||
"score": scaled_direction,
|
||
"max": w_direction,
|
||
"cvd_fast": 15 if ((direction == "LONG" and cvd_fast > 0) or (direction == "SHORT" and cvd_fast < 0)) else 0,
|
||
"cvd_mid": 15 if ((direction == "LONG" and cvd_mid > 0) or (direction == "SHORT" and cvd_mid < 0)) else 0,
|
||
"p99_flow": 15 if has_aligned_p99 else (10 if not has_adverse_p99 else 0),
|
||
"accel_bonus": accel_bonus,
|
||
},
|
||
"crowding": {"score": scaled_crowding, "max": w_crowding, "long_short_ratio": ls_score, "top_trader_position": top_trader_score},
|
||
"environment": {"score": scaled_environment, "max": w_environment, "open_interest_hist": oi_change},
|
||
"confirmation": {"score": scaled_confirmation, "max": w_confirmation},
|
||
"auxiliary": {"score": scaled_auxiliary, "max": w_auxiliary, "coinbase_premium": coinbase_premium},
|
||
"funding_rate": {"score": round(scaled_fr, 2), "max": w_fr, "value": funding_rate, "max_fr_hist": get_max_fr(self.symbol)},
|
||
"liquidation": {
|
||
"score": scaled_liq,
|
||
"max": w_liq,
|
||
"long_usd": liq_data.get("long_usd", 0) if liq_data else 0,
|
||
"short_usd": liq_data.get("short_usd", 0) if liq_data else 0,
|
||
},
|
||
}
|
||
|
||
# 始终输出direction供反向平仓判断（不受冷却限制）
|
||
result["direction"] = direction if not no_direction else None
|
||
|
||
heavy_threshold = max(strategy_threshold + 10, 85)
|
||
if total_score >= heavy_threshold and not no_direction and not in_cooldown:
|
||
result["signal"] = direction
|
||
result["tier"] = "heavy"
|
||
elif total_score >= strategy_threshold and not no_direction and not in_cooldown:
|
||
result["signal"] = direction
|
||
result["tier"] = "standard"
|
||
else:
|
||
result["signal"] = None
|
||
result["tier"] = None
|
||
|
||
if result["signal"]:
|
||
self.last_signal_ts[strategy_name] = now_ms
|
||
self.last_signal_dir[strategy_name] = direction
|
||
return result
|
||
|
||
|
||
# ─── PG DB操作 ───────────────────────────────────────────────────
|
||
|
||
def load_historical(state: SymbolState, window_ms: int):
|
||
now_ms = int(time.time() * 1000)
|
||
start_ms = now_ms - window_ms
|
||
count = 0
|
||
with get_sync_conn() as conn:
|
||
with conn.cursor() as cur:
|
||
cur.execute(
|
||
"SELECT agg_id, price, qty, time_ms, is_buyer_maker FROM agg_trades "
|
||
"WHERE symbol = %s AND time_ms >= %s ORDER BY agg_id ASC",
|
||
(state.symbol, start_ms)
|
||
)
|
||
while True:
|
||
rows = cur.fetchmany(5000)
|
||
if not rows:
|
||
break
|
||
for r in rows:
|
||
state.process_trade(r[0], r[3], r[1], r[2], r[4])
|
||
count += 1
|
||
logger.info(f"[{state.symbol}] 冷启动完成: 加载{count:,}条历史数据 (窗口={window_ms//3600000}h)")
|
||
state.warmup = False
|
||
|
||
|
||
def fetch_new_trades(symbol: str, last_id: int) -> list:
|
||
with get_sync_conn() as conn:
|
||
with conn.cursor() as cur:
|
||
cur.execute(
|
||
"SELECT agg_id, price, qty, time_ms, is_buyer_maker FROM agg_trades "
|
||
"WHERE symbol = %s AND agg_id > %s ORDER BY agg_id ASC LIMIT 10000",
|
||
(symbol, last_id)
|
||
)
|
||
return [{"agg_id": r[0], "price": r[1], "qty": r[2], "time_ms": r[3], "is_buyer_maker": r[4]}
|
||
for r in cur.fetchall()]
|
||
|
||
|
||
def save_indicator(ts: int, symbol: str, result: dict, strategy: str = "v52_8signals"):
|
||
with get_sync_conn() as conn:
|
||
with conn.cursor() as cur:
|
||
import json as _json3
|
||
factors_json = _json3.dumps(result.get("factors")) if result.get("factors") else None
|
||
cur.execute(
|
||
"INSERT INTO signal_indicators "
|
||
"(ts,symbol,strategy,cvd_fast,cvd_mid,cvd_day,cvd_fast_slope,atr_5m,atr_percentile,vwap_30m,price,p95_qty,p99_qty,score,signal,factors) "
|
||
"VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)",
|
||
(ts, symbol, strategy, result["cvd_fast"], result["cvd_mid"], result["cvd_day"], result["cvd_fast_slope"],
|
||
result["atr"], result["atr_pct"], result["vwap"], result["price"],
|
||
result["p95"], result["p99"], result["score"], result.get("signal"), factors_json)
|
||
)
|
||
# 有信号时通知live_executor
|
||
if result.get("signal"):
|
||
cur.execute("NOTIFY new_signal, %s", (f"{symbol}:{strategy}:{result['signal']}:{result['score']}",))
|
||
conn.commit()
|
||
|
||
|
||
def save_indicator_1m(ts: int, symbol: str, result: dict):
|
||
bar_ts = (ts // 60000) * 60000
|
||
with get_sync_conn() as conn:
|
||
with conn.cursor() as cur:
|
||
cur.execute("SELECT id FROM signal_indicators_1m WHERE ts=%s AND symbol=%s", (bar_ts, symbol))
|
||
if cur.fetchone():
|
||
cur.execute(
|
||
"UPDATE signal_indicators_1m SET cvd_fast=%s,cvd_mid=%s,cvd_day=%s,atr_5m=%s,vwap_30m=%s,price=%s,score=%s,signal=%s WHERE ts=%s AND symbol=%s",
|
||
(result["cvd_fast"], result["cvd_mid"], result["cvd_day"], result["atr"], result["vwap"],
|
||
result["price"], result["score"], result.get("signal"), bar_ts, symbol)
|
||
)
|
||
else:
|
||
cur.execute(
|
||
"INSERT INTO signal_indicators_1m (ts,symbol,cvd_fast,cvd_mid,cvd_day,atr_5m,vwap_30m,price,score,signal) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)",
|
||
(bar_ts, symbol, result["cvd_fast"], result["cvd_mid"], result["cvd_day"], result["atr"],
|
||
result["vwap"], result["price"], result["score"], result.get("signal"))
|
||
)
|
||
conn.commit()
|
||
|
||
|
||
# ─── 模拟盘 ──────────────────────────────────────────────────────
|
||
|
||
def paper_open_trade(
|
||
symbol: str,
|
||
direction: str,
|
||
price: float,
|
||
score: int,
|
||
tier: str,
|
||
atr: float,
|
||
now_ms: int,
|
||
factors: dict = None,
|
||
strategy: str = "v51_baseline",
|
||
tp_sl: Optional[dict] = None,
|
||
):
|
||
"""模拟开仓"""
|
||
import json as _json3
|
||
if atr <= 0:
|
||
return
|
||
sl_multiplier = float((tp_sl or {}).get("sl_multiplier", 2.0))
|
||
tp1_multiplier = float((tp_sl or {}).get("tp1_multiplier", 1.5))
|
||
tp2_multiplier = float((tp_sl or {}).get("tp2_multiplier", 3.0))
|
||
risk_distance = sl_multiplier * atr # 1R = SL距离 = sl_multiplier × ATR
|
||
if direction == "LONG":
|
||
sl = price - sl_multiplier * atr
|
||
tp1 = price + tp1_multiplier * atr
|
||
tp2 = price + tp2_multiplier * atr
|
||
else:
|
||
sl = price + sl_multiplier * atr
|
||
tp1 = price - tp1_multiplier * atr
|
||
tp2 = price - tp2_multiplier * atr
|
||
|
||
with get_sync_conn() as conn:
|
||
with conn.cursor() as cur:
|
||
cur.execute(
|
||
"INSERT INTO paper_trades (symbol,direction,score,tier,entry_price,entry_ts,tp1_price,tp2_price,sl_price,atr_at_entry,score_factors,strategy,risk_distance) "
|
||
"VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)",
|
||
(
|
||
symbol,
|
||
direction,
|
||
score,
|
||
tier,
|
||
price,
|
||
now_ms,
|
||
tp1,
|
||
tp2,
|
||
sl,
|
||
atr,
|
||
_json3.dumps(factors) if factors else None,
|
||
strategy,
|
||
risk_distance,
|
||
),
|
||
)
|
||
conn.commit()
|
||
logger.info(
|
||
f"[{symbol}] 📝 模拟开仓: {direction} @ {price:.2f} score={score} tier={tier} strategy={strategy} "
|
||
f"TP1={tp1:.2f} TP2={tp2:.2f} SL={sl:.2f}"
|
||
)
|
||
|
||
|
||
def paper_check_positions(symbol: str, current_price: float, now_ms: int):
|
||
"""检查模拟盘持仓的止盈止损"""
|
||
with get_sync_conn() as conn:
|
||
with conn.cursor() as cur:
|
||
cur.execute(
|
||
"SELECT id, direction, entry_price, tp1_price, tp2_price, sl_price, tp1_hit, entry_ts, atr_at_entry, risk_distance "
|
||
"FROM paper_trades WHERE symbol=%s AND status IN ('active','tp1_hit') ORDER BY id",
|
||
(symbol,)
|
||
)
|
||
positions = cur.fetchall()
|
||
|
||
for pos in positions:
|
||
pid, direction, entry_price, tp1, tp2, sl, tp1_hit, entry_ts, atr_entry, rd_db = pos
|
||
closed = False
|
||
new_status = None
|
||
pnl_r = 0.0
|
||
risk_distance = rd_db if rd_db and rd_db > 0 else abs(entry_price - sl)
|
||
|
||
# === 实盘模拟：TP/SL视为限价单，以挂单价成交 ===
|
||
if direction == "LONG":
|
||
if current_price <= sl:
|
||
closed = True
|
||
exit_price = sl
|
||
if tp1_hit:
|
||
new_status = "sl_be"
|
||
tp1_r = (tp1 - entry_price) / risk_distance if risk_distance > 0 else 0
|
||
pnl_r = 0.5 * tp1_r
|
||
else:
|
||
new_status = "sl"
|
||
pnl_r = (exit_price - entry_price) / risk_distance if risk_distance > 0 else -1.0
|
||
elif not tp1_hit and current_price >= tp1:
|
||
# TP1触发，移动止损到成本价
|
||
new_sl = entry_price * 1.0005
|
||
cur.execute("UPDATE paper_trades SET tp1_hit=TRUE, sl_price=%s, status='tp1_hit' WHERE id=%s", (new_sl, pid))
|
||
logger.info(f"[{symbol}] 📝 TP1触发 LONG @ {current_price:.2f}, SL移至成本{new_sl:.2f}")
|
||
elif tp1_hit and current_price >= tp2:
|
||
closed = True
|
||
exit_price = tp2
|
||
new_status = "tp"
|
||
tp1_r = (tp1 - entry_price) / risk_distance if risk_distance > 0 else 0
|
||
tp2_r = (tp2 - entry_price) / risk_distance if risk_distance > 0 else 0
|
||
pnl_r = 0.5 * tp1_r + 0.5 * tp2_r
|
||
else: # SHORT
|
||
if current_price >= sl:
|
||
closed = True
|
||
exit_price = sl
|
||
if tp1_hit:
|
||
new_status = "sl_be"
|
||
tp1_r = (entry_price - tp1) / risk_distance if risk_distance > 0 else 0
|
||
pnl_r = 0.5 * tp1_r
|
||
else:
|
||
new_status = "sl"
|
||
pnl_r = (entry_price - exit_price) / risk_distance if risk_distance > 0 else -1.0
|
||
elif not tp1_hit and current_price <= tp1:
|
||
new_sl = entry_price * 0.9995
|
||
cur.execute("UPDATE paper_trades SET tp1_hit=TRUE, sl_price=%s, status='tp1_hit' WHERE id=%s", (new_sl, pid))
|
||
logger.info(f"[{symbol}] 📝 TP1触发 SHORT @ {current_price:.2f}, SL移至成本{new_sl:.2f}")
|
||
elif tp1_hit and current_price <= tp2:
|
||
closed = True
|
||
exit_price = tp2
|
||
new_status = "tp"
|
||
tp1_r = (entry_price - tp1) / risk_distance if risk_distance > 0 else 0
|
||
tp2_r = (entry_price - tp2) / risk_distance if risk_distance > 0 else 0
|
||
pnl_r = 0.5 * tp1_r + 0.5 * tp2_r
|
||
|
||
# 时间止损：60分钟（市价平仓）
|
||
if not closed and (now_ms - entry_ts > 60 * 60 * 1000):
|
||
closed = True
|
||
exit_price = current_price
|
||
new_status = "timeout"
|
||
if direction == "LONG":
|
||
move = current_price - entry_price
|
||
else:
|
||
move = entry_price - current_price
|
||
pnl_r = move / risk_distance if risk_distance > 0 else 0
|
||
if tp1_hit:
|
||
tp1_r = abs(tp1 - entry_price) / risk_distance if risk_distance > 0 else 0
|
||
pnl_r = max(pnl_r, 0.5 * tp1_r)
|
||
|
||
if closed:
|
||
# 扣除手续费（开仓+平仓各Taker 0.05%）
|
||
fee_r = (2 * PAPER_FEE_RATE * entry_price) / risk_distance if risk_distance > 0 else 0
|
||
pnl_r -= fee_r
|
||
|
||
cur.execute(
|
||
"UPDATE paper_trades SET status=%s, exit_price=%s, exit_ts=%s, pnl_r=%s WHERE id=%s",
|
||
(new_status, exit_price, now_ms, round(pnl_r, 4), pid)
|
||
)
|
||
logger.info(f"[{symbol}] 📝 模拟平仓: {direction} @ {exit_price:.2f} status={new_status} pnl={pnl_r:+.2f}R (fee={fee_r:.3f}R)")
|
||
|
||
conn.commit()
|
||
|
||
|
||
def paper_has_active_position(symbol: str, strategy: Optional[str] = None) -> bool:
|
||
"""检查该币种是否有活跃持仓"""
|
||
with get_sync_conn() as conn:
|
||
with conn.cursor() as cur:
|
||
if strategy:
|
||
cur.execute(
|
||
"SELECT COUNT(*) FROM paper_trades WHERE symbol=%s AND strategy=%s AND status IN ('active','tp1_hit')",
|
||
(symbol, strategy),
|
||
)
|
||
else:
|
||
cur.execute("SELECT COUNT(*) FROM paper_trades WHERE symbol=%s AND status IN ('active','tp1_hit')", (symbol,))
|
||
return cur.fetchone()[0] > 0
|
||
|
||
|
||
def paper_get_active_direction(symbol: str, strategy: Optional[str] = None) -> str | None:
|
||
"""获取该币种活跃持仓的方向，无持仓返回None"""
|
||
with get_sync_conn() as conn:
|
||
with conn.cursor() as cur:
|
||
if strategy:
|
||
cur.execute(
|
||
"SELECT direction FROM paper_trades WHERE symbol=%s AND strategy=%s AND status IN ('active','tp1_hit') LIMIT 1",
|
||
(symbol, strategy),
|
||
)
|
||
else:
|
||
cur.execute(
|
||
"SELECT direction FROM paper_trades WHERE symbol=%s AND status IN ('active','tp1_hit') LIMIT 1",
|
||
(symbol,),
|
||
)
|
||
row = cur.fetchone()
|
||
return row[0] if row else None
|
||
|
||
|
||
def paper_close_by_signal(symbol: str, current_price: float, now_ms: int, strategy: Optional[str] = None):
|
||
"""反向信号平仓：按当前价平掉该币种所有活跃仓位"""
|
||
with get_sync_conn() as conn:
|
||
with conn.cursor() as cur:
|
||
if strategy:
|
||
cur.execute(
|
||
"SELECT id, direction, entry_price, tp1_hit, atr_at_entry, risk_distance "
|
||
"FROM paper_trades WHERE symbol=%s AND strategy=%s AND status IN ('active','tp1_hit')",
|
||
(symbol, strategy),
|
||
)
|
||
else:
|
||
cur.execute(
|
||
"SELECT id, direction, entry_price, tp1_hit, atr_at_entry, risk_distance "
|
||
"FROM paper_trades WHERE symbol=%s AND status IN ('active','tp1_hit')",
|
||
(symbol,),
|
||
)
|
||
positions = cur.fetchall()
|
||
for pos in positions:
|
||
pid, direction, entry_price, tp1_hit, atr_entry, rd_db = pos
|
||
risk_distance = rd_db if rd_db and rd_db > 0 else abs(entry_price * 0.01)
|
||
if direction == "LONG":
|
||
pnl_r = (current_price - entry_price) / risk_distance if risk_distance > 0 else 0
|
||
else:
|
||
pnl_r = (entry_price - current_price) / risk_distance if risk_distance > 0 else 0
|
||
# 扣手续费
|
||
fee_r = (2 * PAPER_FEE_RATE * entry_price) / risk_distance if risk_distance > 0 else 0
|
||
pnl_r -= fee_r
|
||
cur.execute(
|
||
"UPDATE paper_trades SET status='signal_flip', exit_price=%s, exit_ts=%s, pnl_r=%s WHERE id=%s",
|
||
(current_price, now_ms, round(pnl_r, 4), pid)
|
||
)
|
||
logger.info(
|
||
f"[{symbol}] 📝 反向信号平仓: {direction} @ {current_price:.2f} pnl={pnl_r:+.2f}R"
|
||
f"{f' strategy={strategy}' if strategy else ''}"
|
||
)
|
||
conn.commit()
|
||
|
||
|
||
def paper_active_count(strategy: Optional[str] = None) -> int:
|
||
"""当前活跃持仓总数（按策略独立计数）"""
|
||
with get_sync_conn() as conn:
|
||
with conn.cursor() as cur:
|
||
if strategy:
|
||
cur.execute("SELECT COUNT(*) FROM paper_trades WHERE strategy=%s AND status IN ('active','tp1_hit')", (strategy,))
|
||
else:
|
||
cur.execute("SELECT COUNT(*) FROM paper_trades WHERE status IN ('active','tp1_hit')")
|
||
return cur.fetchone()[0]
|
||
|
||
|
||
# ─── 主循环 ──────────────────────────────────────────────────────
|
||
|
||
def main():
|
||
init_schema()
|
||
strategy_configs = load_strategy_configs()
|
||
strategy_names = [cfg.get("name", "unknown") for cfg in strategy_configs]
|
||
logger.info(f"已加载策略配置: {', '.join(strategy_names)}")
|
||
primary_strategy_name = "v52_8signals" if any(cfg.get("name") == "v52_8signals" for cfg in strategy_configs) else strategy_names[0]
|
||
|
||
states = {sym: SymbolState(sym) for sym in SYMBOLS}
|
||
|
||
for sym, state in states.items():
|
||
load_historical(state, WINDOW_MID)
|
||
|
||
logger.info("=== Signal Engine (PG) 启动完成 ===")
|
||
|
||
last_1m_save = {}
|
||
cycle = 0
|
||
warmup_cycles = 3 # 启动后跳过前3轮（45秒），避免冷启动信号开仓
|
||
|
||
while True:
|
||
try:
|
||
now_ms = int(time.time() * 1000)
|
||
# 每轮重新加载配置（支持API热更新开关）
|
||
load_paper_config()
|
||
for sym, state in states.items():
|
||
new_trades = fetch_new_trades(sym, state.last_processed_id)
|
||
for t in new_trades:
|
||
state.process_trade(t["agg_id"], t["time_ms"], t["price"], t["qty"], t["is_buyer_maker"])
|
||
|
||
state.market_indicators = fetch_market_indicators(sym)
|
||
snapshot = state.build_evaluation_snapshot(now_ms)
|
||
strategy_results: list[tuple[dict, dict]] = []
|
||
for strategy_cfg in strategy_configs:
|
||
strategy_result = state.evaluate_signal(now_ms, strategy_cfg=strategy_cfg, snapshot=snapshot)
|
||
strategy_results.append((strategy_cfg, strategy_result))
|
||
|
||
# 每个策略独立存储indicator
|
||
for strategy_cfg, strategy_result in strategy_results:
|
||
sname = strategy_cfg.get("name", "v51_baseline")
|
||
save_indicator(now_ms, sym, strategy_result, strategy=sname)
|
||
|
||
# 1m表仍用primary（图表用）
|
||
primary_result = strategy_results[0][1]
|
||
for strategy_cfg, strategy_result in strategy_results:
|
||
if strategy_cfg.get("name") == primary_strategy_name:
|
||
primary_result = strategy_result
|
||
break
|
||
|
||
bar_1m = (now_ms // 60000) * 60000
|
||
if last_1m_save.get(sym) != bar_1m:
|
||
save_indicator_1m(now_ms, sym, primary_result)
|
||
last_1m_save[sym] = bar_1m
|
||
|
||
# 反向信号平仓：按策略独立判断，score>=75才触发
|
||
if warmup_cycles <= 0:
|
||
for strategy_cfg, result in strategy_results:
|
||
strategy_name = strategy_cfg.get("name", "v51_baseline")
|
||
if not is_strategy_enabled(strategy_name):
|
||
continue
|
||
eval_dir = result.get("direction")
|
||
existing_dir = paper_get_active_direction(sym, strategy_name)
|
||
if existing_dir and eval_dir and existing_dir != eval_dir and result["score"] >= 75:
|
||
paper_close_by_signal(sym, result["price"], now_ms, strategy_name)
|
||
logger.info(
|
||
f"[{sym}] 📝 反向信号平仓[{strategy_name}]: {existing_dir} → {eval_dir} "
|
||
f"(score={result['score']})"
|
||
)
|
||
|
||
for strategy_cfg, result in strategy_results:
|
||
strategy_name = strategy_cfg.get("name", "v51_baseline")
|
||
if result.get("signal"):
|
||
logger.info(
|
||
f"[{sym}] 🚨 信号[{strategy_name}]: {result['signal']} "
|
||
f"score={result['score']} price={result['price']:.1f}"
|
||
)
|
||
# 模拟盘开仓（需该策略启用 + 跳过冷启动）
|
||
if is_strategy_enabled(strategy_name) and warmup_cycles <= 0:
|
||
if not paper_has_active_position(sym, strategy_name):
|
||
active_count = paper_active_count(strategy_name)
|
||
if active_count < PAPER_MAX_POSITIONS:
|
||
tier = result.get("tier", "standard")
|
||
paper_open_trade(
|
||
sym,
|
||
result["signal"],
|
||
result["price"],
|
||
result["score"],
|
||
tier,
|
||
result["atr"],
|
||
now_ms,
|
||
factors=result.get("factors"),
|
||
strategy=strategy_name,
|
||
tp_sl=strategy_cfg.get("tp_sl"),
|
||
)
|
||
|
||
# 模拟盘持仓检查由paper_monitor.py通过WebSocket实时处理，这里不再检查
|
||
|
||
cycle += 1
|
||
if warmup_cycles > 0:
|
||
warmup_cycles -= 1
|
||
if warmup_cycles == 0:
|
||
logger.info("冷启动保护期结束，模拟盘开仓已启用")
|
||
if cycle % 60 == 0:
|
||
for sym, state in states.items():
|
||
logger.info(
|
||
f"[{sym}] 状态: CVD_fast={state.win_fast.cvd:.1f} "
|
||
f"CVD_mid={state.win_mid.cvd:.1f} ATR={state.atr_calc.atr:.2f} "
|
||
f"({state.atr_calc.atr_percentile:.0f}%) VWAP={state.win_vwap.vwap:.1f}"
|
||
)
|
||
|
||
except Exception as e:
|
||
logger.error(f"循环异常: {e}", exc_info=True)
|
||
|
||
time.sleep(LOOP_INTERVAL)
|
||
|
||
|
||
if __name__ == "__main__":
|
||
main()
|