diff --git a/deploy/profile-scripts/strategy-staleness-check.py b/deploy/profile-scripts/strategy-staleness-check.py
index a77bf060..b0bcd392 100644
--- a/deploy/profile-scripts/strategy-staleness-check.py
+++ b/deploy/profile-scripts/strategy-staleness-check.py
@@ -1,269 +1,269 @@
-#!/usr/bin/env python3
-"""
-策略时效性检查 - Strategy Staleness Checker v1
-==============================================
-扫描所有活跃策略，检查三个维度：
-1. 时间老化：超过14/21天未更新预警
-2. 价格偏离：当前价偏离买入区中心 >30% 预警
-3. 买入区失效：买入区完全脱离当前价格区间
-
-输出两份：JSON报告(给系统) + 人类可读摘要(stdout for cron)
-"""
-
-import json, sys, os, re, urllib.request, sqlite3
-sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
-from datetime import datetime
-from mo_data import read_decisions, read_portfolio
-
-DB_PATH = '/home/hmo/web-dashboard/data/mofin.db'
-OUTPUT_PATH = "/home/hmo/web-dashboard/data/strategy_staleness_report.json"
-
-WARN_DAYS = 14         # 超过14天未更新→警告
-CRITICAL_DAYS = 21     # 超过21天→严重警告
-DIVERGENCE_WARN = 30   # 偏离买入区>30%→警告
-DIVERGENCE_CRIT = 50   # 偏离>50%→严重
-
-def get_price(code):
-    """从腾讯API获取当前价"""
-    try:
-        market = "sh" if code.startswith("6") else "sz" if code.startswith("0") or code.startswith("3") else ""
-        if code.startswith(("00", "30")) or code.startswith("68"):
-            market = "sh" if code.startswith("6") else "sz"
-        elif code.startswith(("01", "02", "03")):
-            market = "sz"
-        url = f"http://qt.gtimg.cn/q={market}{code}"
-        req = urllib.request.Request(url, headers={"User-Agent": "curl/7.81"})
-        with urllib.request.urlopen(req, timeout=5) as resp:
-            raw = resp.read().decode("gbk")
-        parts = raw.split("~")
-        if len(parts) > 3:
-            price = float(parts[3]) if parts[3] else 0
-            chg = float(parts[32]) if parts[32] else 0
-            return price, chg if price > 0 else (None, None)
-    except: pass
-    return None, None
-
-def parse_buy_zone(current):
-    """从策略current字段提取买入区间最低和最高"""
-    if not current:
-        return None, None
-    m = re.search(r'买入.*?(\d+\.?\d*)\s*[~\-]\s*(\d+\.?\d*)', current)
-    if m:
-        return float(m.group(1)), float(m.group(2))
-    return None, None
-
-def main():
-    data = read_decisions()
-
-    # Filter: exclude closed strategies
-    all_entries = data.get("decisions", [])
-    active = [e for e in all_entries if e.get("status", "") != "closed"]
-    flagged = []
-    now = datetime.now()
-
-    for entry in active:
-        code = entry.get("code", "")
-        name = entry.get("name", "") or code
-        entry_type = entry.get("type", "")
-        is_watchlist = "自选" in entry_type
-        
-        # --- Age tracking: prefer created_at, fallback to timestamp/updated_at ---
-        ts = entry.get("created_at") or entry.get("timestamp") or entry.get("updated_at") or ""
-        age = 0
-        if ts:
-            try:
-                if "T" in ts:
-                    dt = datetime.fromisoformat(ts)
-                else:
-                    dt = datetime.strptime(ts, "%Y-%m-%d %H:%M:%S")
-                age = (now - dt).days
-            except:
-                try:
-                    # Try alternative format
-                    dt = datetime.strptime(str(ts)[:19], "%Y-%m-%d %H:%M:%S")
-                    age = (now - dt).days
-                except:
-                    pass
-        
-        # --- Get price: prefer local data, API fallback ---
-        price = entry.get("price", None)
-        if not price or price == 0:
-            price, _ = get_price(code)
-        else:
-            price = float(price) if price else None
-        
-        # --- Get entry zone from structured fields ---
-        entry_low = entry.get("entry_low", None)
-        entry_high = entry.get("entry_high", None)
-        if (not entry_low) or (not entry_high):
-            # Fall back to parsing from action/current string
-            txt = entry.get("action", "") or entry.get("current", "")
-            entry_low, entry_high = parse_buy_zone(txt)
-        
-        # --- Build display info ---
-        action_text = entry.get("action", "") or entry.get("current", "")
-        last_update = entry.get("updated_at", "") or entry.get("timestamp", "")
-        
-        flags = []
-        
-        # Time-based flagging (different thresholds for 持仓 vs 自选)
-        time_threshold = WARN_DAYS if not is_watchlist else WARN_DAYS * 2  # 自选给2倍时间
-        critical_threshold = CRITICAL_DAYS if not is_watchlist else CRITICAL_DAYS * 2
-        
-        if age >= critical_threshold and not is_watchlist:
-            flags.append(f"严重过期: {age}天未更新")
-        elif age >= time_threshold and is_watchlist:
-            flags.append(f"策略已{age}天未更新（自选）")
-        elif age >= time_threshold:
-            flags.append(f"策略已{age}天未更新")
-        
-        if price and entry_low and entry_high:
-            # -- STRATEGY_STALE check for watchlist stocks in buy zone --
-            if is_watchlist and entry_low <= price <= entry_high:
-                timing_signal = entry.get("timing_signal", "") or ""
-                rr_ratio = entry.get("rr_ratio", 0) or 0
-                sl = entry.get("stop_loss", 0) or 0
-                tp = entry.get("take_profit", 0) or 0
-                # 规则1: timing_signal 含"弱势持有"/"等企稳" → STRATEGY_STALE
-                if any(kw in timing_signal for kw in ["弱势持有", "等企稳"]):
-                    flags.append("[STRATEGY_STALE] 信号不良(timing_signal含"+str([kw for kw in ["弱势持有", "等企稳"] if kw in timing_signal])+")")
-                # 规则2: RR<1.5 或无止盈 → STRATEGY_STALE
-                if tp == 0 or (rr_ratio > 0 and rr_ratio < 1.5):
-                    flags.append("[STRATEGY_STALE] 盈亏比不足(RR="+str(rr_ratio)+")或无止盈")
-
-            if is_watchlist:
-                # 自选股：检查价格是否进入了买入区
-                if entry_low <= price <= entry_high:
-                    flags.append(f"现价{price:.2f}在买入区{entry_low:.0f}~{entry_high:.0f}（是否可买需结合timing_signal判断）")
-                elif price > entry_high * 1.3:
-                    flags.append(f"现价{price:.2f}远高于买入区{entry_low:.0f}~{entry_high:.0f}，需重评")
-                elif price < entry_low * 0.8:
-                    flags.append(f"现价{price:.2f}远低于买入区{entry_low:.0f}~{entry_high:.0f}，买入区需下移")
-            else:
-                # 持仓股：检查价格偏离买入区中心
-                zone_center = (entry_low + entry_high) / 2
-                if zone_center > 0:
-                    divergence = abs(price - zone_center) / zone_center * 100
-                    if divergence >= DIVERGENCE_CRIT:
-                        flags.append(f"价格距买入区中心{divergence:.0f}% 已严重偏离")
-                    elif divergence >= DIVERGENCE_WARN:
-                        flags.append(f"价格距买入区中心{divergence:.0f}% 需关注")
-                
-                # Check if price entirely out of zone
-                if price > entry_high * 1.5:
-                    flags.append(f"现价{price:.0f}远高于买入区{entry_low:.0f}~{entry_high:.0f}")
-                elif price < entry_low * 0.5:
-                    flags.append(f"现价{price:.0f}远低于买入区{entry_low:.0f}~{entry_high:.0f}")
-        # Add type tag for clarity
-        type_tag = "自选" if is_watchlist else "持仓"
-        
-        if flags:
-                flagged.append({
-                    "code": code,
-                    "name": name,
-                    "price": round(price, 2) if price else None,
-                    "flags": flags,
-                    "age_days": age,
-                    "last_update": last_update,
-                    "entry_zone": f"{entry_low:.0f}~{entry_high:.0f}" if entry_low else "无买入区",
-                    "current": action_text,
-                    "updated_by": entry.get("source", "auto"),
-                    "updated_reason": "自动生成",
-                    "is_watchlist": is_watchlist,
-                })
-    
-    # --- Portfolio-level analysis: count weak + deep_loss categories ---
-    holdings_count = len([e for e in active if "自选" not in e.get("type", "")])
-    weak_count = len([e for e in active if e.get("stock_category") in ("弱势", "深套") and "自选" not in e.get("type", "")])
-    all_weak_count = len([e for e in active if e.get("stock_category") in ("弱势", "深套")])
-    weak_pct = round(weak_count / holdings_count * 100, 1) if holdings_count > 0 else 0
-    all_weak_pct = round(all_weak_count / len(active) * 100, 1) if len(active) > 0 else 0
-
-    # Read portfolio for position%
-    position_pct = 0
-    cash = 0
-    try:
-        pdata = read_portfolio()
-        position_pct = pdata.get("position_pct", 0)
-        cash = pdata.get("cash", 0)
-    except: pass
-
-    portfolio_flags = []
-    if weak_pct >= 40:
-        portfolio_flags.append(f"[PORTFOLIO_WEAK] 组合中弱势+深套分类持仓占比{weak_pct}%>40%，建议系统性减仓")
-    elif weak_pct >= 30:
-        portfolio_flags.append(f"[PORTFOLIO_WEAK_MILD] 组合弱势占比{weak_pct}%，需关注")
-    if position_pct > 80:
-        portfolio_flags.append(f"[PORTFOLIO_FULL] 总仓位{position_pct}%（现金{cash:.0f}元），买入建议受限")
-
-    # 写 TODO — 过期策略自动建修复任务
-    stale_items = [s for s in flagged if any("[STRATEGY_STALE]" in f for f in s.get("flags", []))]
-    if stale_items:
-        conn = sqlite3.connect(DB_PATH)
-        for s in stale_items:
-            code = s["code"]
-            existing = conn.execute("SELECT id FROM todos WHERE title LIKE ? AND status IN ('pending','in_progress')", (f"%{code}%",)).fetchone()
-            if existing:
-                continue
-            conn.execute(
-                "INSERT INTO todos (title, description, status, priority, source, fix_action) VALUES (?,?,?,?,?,?)",
-                (f"[STRATEGY_STALE] {s['name']}({code}) 需重评",
-                 f"策略过期: {'; '.join(s['flags'])} | 上次更新{s['age_days']}天前 | 区间{s['entry_zone']}",
-                 "pending", "high", "staleness_check",
-                 f"cd /home/hmo/MoFin && python3 scripts/per_stock_reassess.py {code}",
-                )
-            )
-        conn.commit()
-        conn.close()
-        print(f"  TODO: 为 {len(stale_items)} 个过期策略创建修复任务")
-
-    # Write report
-    os.makedirs(os.path.dirname(OUTPUT_PATH), exist_ok=True)
-    report = {
-        "checked_at": now.strftime("%Y-%m-%dT%H:%M:%S"),
-        "total_active": len(active),
-        "flagged_count": len(flagged),
-        "flagged": flagged,
-        "portfolio": {
-            "position_pct": position_pct,
-            "cash": round(cash, 2),
-            "weak_position_pct": weak_pct,
-            "all_weak_pct": all_weak_pct,
-            "signals": portfolio_flags
-        },
-        "summary": f"扫描{len(active)}个策略，{len(flagged)}个需关注"
-    }
-    with open(OUTPUT_PATH, 'w') as f:
-        json.dump(report, f, indent=2, ensure_ascii=False)
-    
-    # Human-readable output
-    now_str = now.strftime("%m/%d %H:%M")
-    print(f"【策略重估检查】{now_str}")
-    print(f"活跃策略{len(active)}个 | 需关注{len(flagged)}个")
-
-    # Portfolio-level signals first (if any)
-    for pf in portfolio_flags:
-        print(pf)
-    
-    if flagged:
-        print("")
-        for s in flagged:
-            price_str = f"￥{s['price']}" if s['price'] else "N/A"
-            ttag = "[自选]" if s.get('is_watchlist') else ""
-            print(f"{ttag}[{s['code']}] {s['name']} {price_str}")
-            print(f"  上次更新{s['age_days']}天前 | 区间{s['entry_zone']}")
-            for f in s['flags']:
-                print(f"  ⚠ {f}")
-            print(f"  策略: {s['current']}")
-            print("")
-    
-    print(f"—END—{len(flagged)}个需关注 | 弱势持仓占比{weak_pct}% | 仓位{position_pct}%")
-    return len(flagged)
-
-if __name__ == "__main__":
-    try:
-        stale = main()
-        sys.exit(0)   # Always exit 0 — flagged items are in JSON report + stdout; exit code 1 creates misleading "Script Error" alerts
-    except Exception as e:
-        print(f"ERROR: {e}")
-        sys.exit(2)
+#!/usr/bin/env python3
+"""
+策略时效性检查 - Strategy Staleness Checker v1
+==============================================
+扫描所有活跃策略，检查三个维度：
+1. 时间老化：超过14/21天未更新预警
+2. 价格偏离：当前价偏离买入区中心 >30% 预警
+3. 买入区失效：买入区完全脱离当前价格区间
+
+输出两份：JSON报告(给系统) + 人类可读摘要(stdout for cron)
+"""
+
+import json, sys, os, re, urllib.request, sqlite3
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
+from datetime import datetime
+from mo_data import read_decisions, read_portfolio
+
+DB_PATH = '/home/hmo/web-dashboard/data/mofin.db'
+OUTPUT_PATH = "/home/hmo/web-dashboard/data/strategy_staleness_report.json"
+
+WARN_DAYS = 14         # 超过14天未更新→警告
+CRITICAL_DAYS = 21     # 超过21天→严重警告
+DIVERGENCE_WARN = 30   # 偏离买入区>30%→警告
+DIVERGENCE_CRIT = 50   # 偏离>50%→严重
+
+def get_price(code):
+    """从腾讯API获取当前价"""
+    try:
+        market = "sh" if code.startswith("6") else "sz" if code.startswith("0") or code.startswith("3") else ""
+        if code.startswith(("00", "30")) or code.startswith("68"):
+            market = "sh" if code.startswith("6") else "sz"
+        elif code.startswith(("01", "02", "03")):
+            market = "sz"
+        url = f"http://qt.gtimg.cn/q={market}{code}"
+        req = urllib.request.Request(url, headers={"User-Agent": "curl/7.81"})
+        with urllib.request.urlopen(req, timeout=5) as resp:
+            raw = resp.read().decode("gbk")
+        parts = raw.split("~")
+        if len(parts) > 3:
+            price = float(parts[3]) if parts[3] else 0
+            chg = float(parts[32]) if parts[32] else 0
+            return price, chg if price > 0 else (None, None)
+    except: pass
+    return None, None
+
+def parse_buy_zone(current):
+    """从策略current字段提取买入区间最低和最高"""
+    if not current:
+        return None, None
+    m = re.search(r'买入.*?(\d+\.?\d*)\s*[~\-]\s*(\d+\.?\d*)', current)
+    if m:
+        return float(m.group(1)), float(m.group(2))
+    return None, None
+
+def main():
+    data = read_decisions()
+
+    # Filter: exclude closed strategies
+    all_entries = data.get("decisions", [])
+    active = [e for e in all_entries if e.get("status", "") != "closed"]
+    flagged = []
+    now = datetime.now()
+
+    for entry in active:
+        code = entry.get("code", "")
+        name = entry.get("name", "") or code
+        entry_type = entry.get("type", "")
+        is_watchlist = "自选" in entry_type
+        
+        # --- Age tracking: prefer created_at, fallback to timestamp/updated_at ---
+        ts = entry.get("created_at") or entry.get("timestamp") or entry.get("updated_at") or ""
+        age = 0
+        if ts:
+            try:
+                if "T" in ts:
+                    dt = datetime.fromisoformat(ts)
+                else:
+                    dt = datetime.strptime(ts, "%Y-%m-%d %H:%M:%S")
+                age = (now - dt).days
+            except:
+                try:
+                    # Try alternative format
+                    dt = datetime.strptime(str(ts)[:19], "%Y-%m-%d %H:%M:%S")
+                    age = (now - dt).days
+                except:
+                    pass
+        
+        # --- Get price: prefer local data, API fallback ---
+        price = entry.get("price", None)
+        if not price or price == 0:
+            price, _ = get_price(code)
+        else:
+            price = float(price) if price else None
+        
+        # --- Get entry zone from structured fields ---
+        entry_low = entry.get("entry_low", None)
+        entry_high = entry.get("entry_high", None)
+        if (not entry_low) or (not entry_high):
+            # Fall back to parsing from action/current string
+            txt = entry.get("action", "") or entry.get("current", "")
+            entry_low, entry_high = parse_buy_zone(txt)
+        
+        # --- Build display info ---
+        action_text = entry.get("action", "") or entry.get("current", "")
+        last_update = entry.get("updated_at", "") or entry.get("timestamp", "")
+        
+        flags = []
+        
+        # Time-based flagging (different thresholds for 持仓 vs 自选)
+        time_threshold = WARN_DAYS if not is_watchlist else WARN_DAYS * 2  # 自选给2倍时间
+        critical_threshold = CRITICAL_DAYS if not is_watchlist else CRITICAL_DAYS * 2
+        
+        if age >= critical_threshold and not is_watchlist:
+            flags.append(f"严重过期: {age}天未更新")
+        elif age >= time_threshold and is_watchlist:
+            flags.append(f"策略已{age}天未更新（自选）")
+        elif age >= time_threshold:
+            flags.append(f"策略已{age}天未更新")
+        
+        if price and entry_low and entry_high:
+            # -- STRATEGY_STALE check for watchlist stocks in buy zone --
+            if is_watchlist and entry_low <= price <= entry_high:
+                timing_signal = entry.get("timing_signal", "") or ""
+                rr_ratio = entry.get("rr_ratio", 0) or 0
+                sl = entry.get("stop_loss", 0) or 0
+                tp = entry.get("take_profit", 0) or 0
+                # 规则1: timing_signal 含"弱势持有"/"等企稳" → STRATEGY_STALE
+                if any(kw in timing_signal for kw in ["弱势持有", "等企稳"]):
+                    flags.append("[STRATEGY_STALE] 信号不良(timing_signal含"+str([kw for kw in ["弱势持有", "等企稳"] if kw in timing_signal])+")")
+                # 规则2: RR<1.5 或无止盈 → STRATEGY_STALE
+                if tp == 0 or (rr_ratio > 0 and rr_ratio < 1.5):
+                    flags.append("[STRATEGY_STALE] 盈亏比不足(RR="+str(rr_ratio)+")或无止盈")
+
+            if is_watchlist:
+                # 自选股：检查价格是否进入了买入区
+                if entry_low <= price <= entry_high:
+                    flags.append(f"现价{price:.2f}在买入区{entry_low:.0f}~{entry_high:.0f}（是否可买需结合timing_signal判断）")
+                elif price > entry_high * 1.3:
+                    flags.append(f"现价{price:.2f}远高于买入区{entry_low:.0f}~{entry_high:.0f}，需重评")
+                elif price < entry_low * 0.8:
+                    flags.append(f"现价{price:.2f}远低于买入区{entry_low:.0f}~{entry_high:.0f}，买入区需下移")
+            else:
+                # 持仓股：检查价格偏离买入区中心
+                zone_center = (entry_low + entry_high) / 2
+                if zone_center > 0:
+                    divergence = abs(price - zone_center) / zone_center * 100
+                    if divergence >= DIVERGENCE_CRIT:
+                        flags.append(f"价格距买入区中心{divergence:.0f}% 已严重偏离")
+                    elif divergence >= DIVERGENCE_WARN:
+                        flags.append(f"价格距买入区中心{divergence:.0f}% 需关注")
+                
+                # Check if price entirely out of zone
+                if price > entry_high * 1.5:
+                    flags.append(f"现价{price:.0f}远高于买入区{entry_low:.0f}~{entry_high:.0f}")
+                elif price < entry_low * 0.5:
+                    flags.append(f"现价{price:.0f}远低于买入区{entry_low:.0f}~{entry_high:.0f}")
+        # Add type tag for clarity
+        type_tag = "自选" if is_watchlist else "持仓"
+        
+        if flags:
+                flagged.append({
+                    "code": code,
+                    "name": name,
+                    "price": round(price, 2) if price else None,
+                    "flags": flags,
+                    "age_days": age,
+                    "last_update": last_update,
+                    "entry_zone": f"{entry_low:.0f}~{entry_high:.0f}" if entry_low else "无买入区",
+                    "current": action_text,
+                    "updated_by": entry.get("source", "auto"),
+                    "updated_reason": "自动生成",
+                    "is_watchlist": is_watchlist,
+                })
+    
+    # --- Portfolio-level analysis: count weak + deep_loss categories ---
+    holdings_count = len([e for e in active if "自选" not in e.get("type", "")])
+    weak_count = len([e for e in active if e.get("stock_category") in ("弱势", "深套") and "自选" not in e.get("type", "")])
+    all_weak_count = len([e for e in active if e.get("stock_category") in ("弱势", "深套")])
+    weak_pct = round(weak_count / holdings_count * 100, 1) if holdings_count > 0 else 0
+    all_weak_pct = round(all_weak_count / len(active) * 100, 1) if len(active) > 0 else 0
+
+    # Read portfolio for position%
+    position_pct = 0
+    cash = 0
+    try:
+        pdata = read_portfolio()
+        position_pct = pdata.get("position_pct", 0)
+        cash = pdata.get("cash", 0)
+    except: pass
+
+    portfolio_flags = []
+    if weak_pct >= 40:
+        portfolio_flags.append(f"[PORTFOLIO_WEAK] 组合中弱势+深套分类持仓占比{weak_pct}%>40%，建议系统性减仓")
+    elif weak_pct >= 30:
+        portfolio_flags.append(f"[PORTFOLIO_WEAK_MILD] 组合弱势占比{weak_pct}%，需关注")
+    if position_pct > 80:
+        portfolio_flags.append(f"[PORTFOLIO_FULL] 总仓位{position_pct}%（现金{cash:.0f}元），买入建议受限")
+
+    # 写 TODO — 过期策略自动建修复任务
+    stale_items = [s for s in flagged if any("[STRATEGY_STALE]" in f for f in s.get("flags", []))]
+    if stale_items:
+        conn = sqlite3.connect(DB_PATH)
+        for s in stale_items:
+            code = s["code"]
+            existing = conn.execute("SELECT id FROM todos WHERE title LIKE ? AND status IN ('pending','in_progress')", (f"%{code}%",)).fetchone()
+            if existing:
+                continue
+            conn.execute(
+                "INSERT INTO todos (title, description, status, priority, source, fix_action) VALUES (?,?,?,?,?,?)",
+                (f"[STRATEGY_STALE] {s['name']}({code}) 需重评",
+                 f"策略过期: {'; '.join(s['flags'])} | 上次更新{s['age_days']}天前 | 区间{s['entry_zone']}",
+                 "pending", "high", "staleness_check",
+                 f"cd /home/hmo/MoFin && python3 deploy/profile-scripts/per_stock_reassess.py {code}",
+                )
+            )
+        conn.commit()
+        conn.close()
+        print(f"  TODO: 为 {len(stale_items)} 个过期策略创建修复任务")
+
+    # Write report
+    os.makedirs(os.path.dirname(OUTPUT_PATH), exist_ok=True)
+    report = {
+        "checked_at": now.strftime("%Y-%m-%dT%H:%M:%S"),
+        "total_active": len(active),
+        "flagged_count": len(flagged),
+        "flagged": flagged,
+        "portfolio": {
+            "position_pct": position_pct,
+            "cash": round(cash, 2),
+            "weak_position_pct": weak_pct,
+            "all_weak_pct": all_weak_pct,
+            "signals": portfolio_flags
+        },
+        "summary": f"扫描{len(active)}个策略，{len(flagged)}个需关注"
+    }
+    with open(OUTPUT_PATH, 'w') as f:
+        json.dump(report, f, indent=2, ensure_ascii=False)
+    
+    # Human-readable output
+    now_str = now.strftime("%m/%d %H:%M")
+    print(f"【策略重估检查】{now_str}")
+    print(f"活跃策略{len(active)}个 | 需关注{len(flagged)}个")
+
+    # Portfolio-level signals first (if any)
+    for pf in portfolio_flags:
+        print(pf)
+    
+    if flagged:
+        print("")
+        for s in flagged:
+            price_str = f"￥{s['price']}" if s['price'] else "N/A"
+            ttag = "[自选]" if s.get('is_watchlist') else ""
+            print(f"{ttag}[{s['code']}] {s['name']} {price_str}")
+            print(f"  上次更新{s['age_days']}天前 | 区间{s['entry_zone']}")
+            for f in s['flags']:
+                print(f"  ⚠ {f}")
+            print(f"  策略: {s['current']}")
+            print("")
+    
+    print(f"—END—{len(flagged)}个需关注 | 弱势持仓占比{weak_pct}% | 仓位{position_pct}%")
+    return len(flagged)
+
+if __name__ == "__main__":
+    try:
+        stale = main()
+        sys.exit(0)   # Always exit 0 — flagged items are in JSON report + stdout; exit code 1 creates misleading "Script Error" alerts
+    except Exception as e:
+        print(f"ERROR: {e}")
+        sys.exit(2)