diff --git a/scripts/stale_detector.py b/scripts/stale_detector.py
index d8ac9cf..d1d0bb8 100644
--- a/scripts/stale_detector.py
+++ b/scripts/stale_detector.py
@@ -1,251 +1,252 @@
-#!/usr/bin/env python3
-"""stale_detector.py — 检查所有策略，标记价格偏离/过期的策略
-
-读取 decisions.json 的扁平列表。自选策略和持仓策略分开判断。
-可被 cron no_agent 模式调用：stdout 注入到后续 LLM 分析。
-
-输出格式：
-  [FLAG] [自选/持仓] 股票名(代码) 价XX | 买入A~B | 问题
-
-用法：
-  python3 stale_detector.py
-"""
-import json
-import sys
-import os
-from datetime import datetime, timezone
-
-DECISIONS_PATH = "/home/hmo/web-dashboard/data/decisions.json"
-PORTFOLIO_PATH = "/home/hmo/web-dashboard/data/portfolio.json"
-
-
-def fetch_prices(codes):
-    import urllib.request
-    if not codes:
-        return {}
-    symbols, code_map = [], {}
-    for c in codes:
-        c = str(c).strip()
-        p = "sh" if (len(c) == 6 and c[0] in "569") else "sz" if len(c) == 6 else "hk"
-        sym = f"{p}{c}"
-        symbols.append(sym)
-        code_map[sym] = c
-    try:
-        req = urllib.request.Request(
-            f"http://qt.gtimg.cn/q={','.join(symbols)}",
-            headers={"User-Agent": "curl/7.81"},
-        )
-        with urllib.request.urlopen(req, timeout=10) as r:
-            text = r.read().decode("gbk")
-    except Exception as e:
-        print(f"FETCH_FAIL: {e}", file=sys.stderr)
-        return {}
-
-    results = {}
-    for line in text.strip().split("\n"):
-        if "=" not in line:
-            continue
-        try:
-            raw = line.split("=", 1)[1].strip().strip('"').strip(";")
-            fld = raw.split("~")
-            if len(fld) < 6:
-                continue
-            sym = line.split("=", 1)[0].strip().lstrip("v_")
-            oc = code_map.get(sym)
-            if not oc:
-                continue
-            p = float(fld[3]) if fld[3] else 0
-            # NOTE: HK stock prices kept in HKD — decisions.json also stores HK values in HKD
-            # (stop_loss/take_profit/entry). Never convert here or we mismatch CNY price vs HKD stop.
-            # Downstream tools that need CNY should convert at display time.
-            c = fld[32] if len(fld) > 32 else "0"
-            results[oc] = (p, c)
-        except (ValueError, IndexError):
-            continue
-    return results
-
-
-def main():
-    decisions_list = json.load(open(DECISIONS_PATH))
-    if not isinstance(decisions_list, list):
-        decisions_list = decisions_list.get("decisions", []) if isinstance(decisions_list, dict) else []
-
-    # 只保留有买入区的条目，排除已关闭的（inactive/closed）
-    EXCLUDED_STATUSES = ("closed", "inactive")
-    to_check = [d for d in decisions_list if (d.get("entry_low") is not None or d.get("entry_high") is not None) and d.get("status") not in EXCLUDED_STATUSES]
-    if not to_check:
-        print("[SILENT] 无需要检查的策略")
-        return 0
-
-    # ----- 组合级监测：读取总仓位 + 弱势比例 -----
-    position_pct = 0
-    cash = 0
-    total_assets = 0
-    try:
-        with open(PORTFOLIO_PATH) as f:
-            pf = json.load(f)
-        position_pct = pf.get("position_pct", 0)
-        cash = pf.get("cash", 0)
-        total_assets = pf.get("total_assets", 0)
-    except Exception:
-        pass
-    # 统计持仓策略中弱势/深套的比例
-    weak_count = 0
-    holding_count = 0
-    for d in decisions_list:
-        if d.get("type") == "持仓策略" and d.get("status") not in ("closed", "inactive"):
-            holding_count += 1
-            cat = d.get("stock_category", "")
-            if cat in ("弱势", "深套"):
-                weak_count += 1
-    weak_ratio = (weak_count / holding_count * 100) if holding_count > 0 else 0
-
-    prices = fetch_prices([d["code"] for d in to_check])
-    now = datetime.now(timezone.utc).astimezone()
-    found = 0
-
-    for d in to_check:
-        code = d["code"]
-        name = d.get("name", code)
-        el = d.get("entry_low")
-        eh = d.get("entry_high")
-        sl = d.get("stop_loss")
-        tp = d.get("take_profit")
-        ts = d.get("created_at") or d.get("timestamp") or d.get("updated_at", "")
-        is_wl = "自选" in (d.get("type", ""))
-
-        pi = prices.get(code)
-        if not pi:
-            continue
-        price, chg = pi
-        if price <= 0:
-            continue
-
-        issues, flags = [], []
-        tag = "[自选]" if is_wl else "[持仓]"
-        # 币种标记（港股HKD vs A股CNY，辅助下游LLM避免混读）
-        currency_suffix = "(HKD)" if len(str(code)) == 5 and str(code)[0] in '01' else ""
-        price_str = f"{price:.2f}{currency_suffix}"
-        buy_zone_str = f"{el}~{eh}{currency_suffix}" if currency_suffix else f"{el}~{eh}"
-
-        # -- 偏离 --
-        if is_wl and el and eh:
-            # 读取 timing_signal 判断策略有效性（timing_signal 字段优先，fallback to action）
-            current_str = d.get("current", "") or ""
-            timing_signal = d.get("timing_signal", "") or current_str
-            has_nonbuy_signal = any(kw in timing_signal for kw in [
-                "等企稳再入", "等企稳", "弱势持有", "观望",
-                "不建议买入", "谨慎买入",
-            ])
-
-            # 直接计算 R/R（不依赖文本匹配）
-            rr_invalid = False
-            if sl and sl > 0 and tp and tp > 0 and price > sl:
-                rr = (tp - price) / (price - sl)
-                if rr < 1.5:
-                    rr_invalid = True
-                # 也检查 tp 是否接近或低于成本（微盈/浮亏止盈）
-                cost = d.get("cost", 0)
-                if cost and cost > 0 and tp <= cost * 1.05:
-                    rr_invalid = True
-
-            strategy_deficient = has_nonbuy_signal or rr_invalid
-            # 对自选无止盈位的也标记（策略不完整）
-            if not tp or tp == 0:
-                strategy_deficient = True
-
-            if el <= price <= eh:
-                flags.append("[WL_IN]")
-                if strategy_deficient:
-                    flags.append("[STRATEGY_STALE]")
-                    prefix = "⚠️仓位挤占 " if position_pct > 80 else ""
-                    issues.append(f"[STRATEGY_STALE] {prefix}价{price_str}在买入区{buy_zone_str}但策略不完整（{'RR='+f'{rr:.2f}<1.5' if rr_invalid else '无止盈位' if not tp else '非买入信号'}），买入区需重评")
-                else:
-                    prefix = "⚠️仓位挤占 " if position_pct > 80 else ""
-                    issues.append(f"[PUSH] {prefix}价{price_str}入买入区{buy_zone_str}")
-            elif price > eh * 1.35:
-                flags.append("[WL_HIGH]")
-                issues.append(f"价{price_str}高出买入区+{((price/eh)-1)*100:.0f}%，买入区需重评")
-            elif price > eh * 1.20:
-                flags.append("[WL_DRIFT]")
-                issues.append(f"价{price_str}高于买入区+{((price/eh)-1)*100:.0f}%")
-        elif not is_wl and eh:
-            dp = (price / eh - 1) * 100
-            if dp > 35:
-                flags.append("[SEVERE]")
-                issues.append(f"偏离买入区上沿+{dp:.0f}%")
-            elif dp > 20:
-                flags.append("[DRIFT]")
-                issues.append(f"偏离买入区上沿+{dp:.0f}%")
-            elif dp > 10:
-                flags.append("[WARN]")
-                issues.append(f"偏离买入区上沿+{dp:.0f}%")
-            # 持仓在买入区内但 R/R 不达标
-            if el and sl and sl > 0 and tp and tp > 0 and price > sl:
-                if el <= price <= eh:
-                    rr = (tp - price) / (price - sl)
-                    if rr < 1.5:
-                        flags.append("[RR_WARN]")
-                        issues.append(f"买入区内RR仅{rr:.2f}<1.5，策略需重评")
-
-        # -- 距止损/止盈（仅持仓） --
-        if not is_wl:
-            if sl and sl > 0:
-                dsl = (price / sl - 1) * 100
-                if dsl < 5:
-                    flags.append("[NEAR_SL]")
-                    issues.append(f"距止损仅{dsl:.1f}%")
-            if tp and tp > 0:
-                dtp = (tp / price - 1) * 100
-                if dtp < 5:
-                    # 成本基准校验：止盈标记只有在盈利≥5%时才有效
-                    cost_check = True
-                    cost = d.get("cost")
-                    if cost and cost > 0 and price < cost * 1.05:
-                        cost_check = False
-                    if cost_check:
-                        flags.append("[NEAR_TP]")
-                        issues.append(f"距止盈仅{dtp:.1f}%")
-
-        # -- 过期 --
-        stale_limit = 30 if is_wl else 14
-        if ts:
-            try:
-                ud = datetime.fromisoformat(ts)
-                if ud.tzinfo is None:
-                    ud = ud.replace(tzinfo=timezone.utc)
-                days = (now - ud).days
-                if days > stale_limit:
-                    flags.append("[STALE]")
-                    issues.append(f"{days}天未更新(>{stale_limit})")
-            except (ValueError, TypeError):
-                pass
-
-        if issues:
-            print(f"{' '.join(flags)} {tag} {name}({code}) 价{price_str}{chg} | 买入{el}~{eh} | {'; '.join(issues)}")
-            found += 1
-
-    if found == 0:
-        print("[SILENT] 所有策略正常")
-
-    # ----- 组合级警报 -----
-    portfolio_alerts = 0
-    if holding_count > 0:
-        if weak_ratio > 40:
-            print(f"\n[PORTFOLIO_WEAK] 组合弱势比例{weak_ratio:.0f}% ({weak_count}/{holding_count})！仓位{position_pct:.1f}% → 建议系统性减仓")
-            portfolio_alerts += 1
-        elif weak_ratio > 30:
-            print(f"\n[PORTFOLIO_WEAK_MILD] 组合弱势比例{weak_ratio:.0f}% ({weak_count}/{holding_count})，仓位{position_pct:.1f}%，关注")
-            portfolio_alerts += 1
-    if position_pct > 80 and holding_count > 0:
-        # 仓位过满提醒
-        print(f"[PORTFOLIO_FULL] 总仓位{position_pct:.1f}% > 80%，现金{cash:.0f}({cash/total_assets*100:.1f}%)")
-        portfolio_alerts += 1
-    if portfolio_alerts > 0:
-        found += portfolio_alerts
-
-    return found
-
-
-if __name__ == "__main__":
-    main()
+#!/usr/bin/env python3
+"""stale_detector.py — 检查所有策略，标记价格偏离/过期的策略
+
+读取 decisions.json 的扁平列表。自选策略和持仓策略分开判断。
+可被 cron no_agent 模式调用：stdout 注入到后续 LLM 分析。
+
+输出格式：
+  [FLAG] [自选/持仓] 股票名(代码) 价XX | 买入A~B | 问题
+
+用法：
+  python3 stale_detector.py
+"""
+import json
+import sys
+import os
+from datetime import datetime, timezone
+
+DECISIONS_PATH = "/home/hmo/web-dashboard/data/decisions.json"
+PORTFOLIO_PATH = "/home/hmo/web-dashboard/data/portfolio.json"
+
+
+def fetch_prices(codes):
+    import urllib.request
+    if not codes:
+        return {}
+    symbols, code_map = [], {}
+    for c in codes:
+        c = str(c).strip()
+        p = "sh" if (len(c) == 6 and c[0] in "569") else "sz" if len(c) == 6 else "hk"
+        sym = f"{p}{c}"
+        symbols.append(sym)
+        code_map[sym] = c
+    try:
+        req = urllib.request.Request(
+            f"http://qt.gtimg.cn/q={','.join(symbols)}",
+            headers={"User-Agent": "curl/7.81"},
+        )
+        with urllib.request.urlopen(req, timeout=10) as r:
+            text = r.read().decode("gbk")
+    except Exception as e:
+        print(f"FETCH_FAIL: {e}", file=sys.stderr)
+        return {}
+
+    results = {}
+    for line in text.strip().split("\n"):
+        if "=" not in line:
+            continue
+        try:
+            raw = line.split("=", 1)[1].strip().strip('"').strip(";")
+            fld = raw.split("~")
+            if len(fld) < 6:
+                continue
+            sym = line.split("=", 1)[0].strip().lstrip("v_")
+            oc = code_map.get(sym)
+            if not oc:
+                continue
+            p = float(fld[3]) if fld[3] else 0
+            c = fld[32] if len(fld) > 32 else "0"
+            results[oc] = (p, c)
+        except (ValueError, IndexError):
+            continue
+    return results
+
+
+def main():
+    decisions_list = json.load(open(DECISIONS_PATH))
+    if not isinstance(decisions_list, list):
+        decisions_list = decisions_list.get("decisions", []) if isinstance(decisions_list, dict) else []
+
+    # 只保留有买入区的条目，排除已关闭的（inactive/closed）
+    EXCLUDED_STATUSES = ("closed", "inactive")
+    to_check = [d for d in decisions_list if (d.get("entry_low") is not None or d.get("entry_high") is not None) and d.get("status") not in EXCLUDED_STATUSES]
+    if not to_check:
+        print("[SILENT] 无需要检查的策略")
+        return 0
+
+    # ----- 组合级监测：读取总仓位 + 弱势比例 -----
+    position_pct = 0
+    cash = 0
+    total_assets = 0
+    try:
+        with open(PORTFOLIO_PATH) as f:
+            pf = json.load(f)
+        position_pct = pf.get("position_pct", 0)
+        cash = pf.get("cash", 0)
+        total_assets = pf.get("total_assets", 0)
+    except Exception:
+        pass
+    # 统计持仓策略中弱势/深套的比例
+    weak_count = 0
+    holding_count = 0
+    for d in decisions_list:
+        if d.get("type") == "持仓策略" and d.get("status") not in ("closed", "inactive"):
+            holding_count += 1
+            cat = d.get("stock_category", "")
+            if cat in ("弱势", "深套"):
+                weak_count += 1
+    weak_ratio = (weak_count / holding_count * 100) if holding_count > 0 else 0
+
+    prices = fetch_prices([d["code"] for d in to_check])
+    now = datetime.now(timezone.utc).astimezone()
+    found = 0
+
+    for d in to_check:
+        code = d["code"]
+        name = d.get("name", code)
+        el = d.get("entry_low")
+        eh = d.get("entry_high")
+        sl = d.get("stop_loss")
+        tp = d.get("take_profit")
+        ts = d.get("created_at") or d.get("timestamp") or d.get("updated_at", "")
+        is_wl = "自选" in (d.get("type", ""))
+
+        pi = prices.get(code)
+        if not pi:
+            continue
+        price, chg = pi
+        if price <= 0:
+            continue
+
+        issues, flags = [], []
+        tag = "[自选]" if is_wl else "[持仓]"
+
+        # -- 偏离 --
+        if is_wl and el and eh:
+            # 读取 timing_signal 判断策略有效性（timing_signal 字段优先，fallback to action）
+            current_str = d.get("current", "") or ""
+            timing_signal = d.get("timing_signal", "") or current_str
+            has_nonbuy_signal = any(kw in timing_signal for kw in [
+                "等企稳再入", "等企稳", "弱势持有", "观望",
+                "不建议买入", "谨慎买入",
+            ])
+
+            # 直接计算 R/R（不依赖文本匹配）
+            rr_invalid = False
+            if sl and sl > 0 and tp and tp > 0 and price > sl:
+                rr = (tp - price) / (price - sl)
+                if rr < 1.5:
+                    rr_invalid = True
+                # 也检查 tp 是否接近或低于成本（微盈/浮亏止盈）
+                cost = d.get("cost", 0)
+                if cost and cost > 0 and tp <= cost * 1.05:
+                    rr_invalid = True
+
+            strategy_deficient = has_nonbuy_signal or rr_invalid
+            # 对自选无止盈位的也标记（策略不完整）
+            if not tp or tp == 0:
+                strategy_deficient = True
+
+            if el <= price <= eh:
+                flags.append("[WL_IN]")
+                if strategy_deficient:
+                    flags.append("[STRATEGY_STALE]")
+                    prefix = "⚠️仓位挤占 " if position_pct > 80 else ""
+                    issues.append(f"[STRATEGY_STALE] {prefix}价{price:.2f}在买入区{el}~{eh}但策略不完整（{'RR='+f'{rr:.2f}<1.5' if rr_invalid else '无止盈位' if not tp else '非买入信号'}），买入区需重评")
+                else:
+                    prefix = "⚠️仓位挤占 " if position_pct > 80 else ""
+                    issues.append(f"[PUSH] {prefix}价{price:.2f}入买入区{el}~{eh}")
+            elif price > eh * 1.35:
+                flags.append("[WL_HIGH]")
+                issues.append(f"价{price:.2f}高出买入区+{((price/eh)-1)*100:.0f}%，买入区需重评")
+            elif price > eh * 1.20:
+                flags.append("[WL_DRIFT]")
+                issues.append(f"价{price:.2f}高于买入区+{((price/eh)-1)*100:.0f}%")
+        elif not is_wl and eh:
+            dp = (price / eh - 1) * 100
+            if dp > 35:
+                flags.append("[SEVERE]")
+                issues.append(f"偏离买入区上沿+{dp:.0f}%")
+            elif dp > 20:
+                flags.append("[DRIFT]")
+                issues.append(f"偏离买入区上沿+{dp:.0f}%")
+            elif dp > 10:
+                flags.append("[WARN]")
+                issues.append(f"偏离买入区上沿+{dp:.0f}%")
+            # 持仓在买入区内但 R/R 不达标
+            if el and sl and sl > 0 and tp and tp > 0 and price > sl:
+                if el <= price <= eh:
+                    rr = (tp - price) / (price - sl)
+                    if rr < 1.5:
+                        flags.append("[RR_WARN]")
+                        issues.append(f"买入区内RR仅{rr:.2f}<1.5，策略需重评")
+
+        # -- 距止损/止盈（仅持仓） --
+        if not is_wl:
+            if sl and sl > 0:
+                dsl = (price / sl - 1) * 100
+                if dsl < 5:
+                    # 成本基准校验：浮盈>5%时止损是利润保护，不是危险信号
+                    # (mirrors NEAR_TP cost_check logic at line 195-198)
+                    cost = d.get("cost")
+                    if cost and cost > 0 and price > cost * 1.05:
+                        flags.append("[PROFIT_PROTECT]")
+                        pnl = (price / cost - 1) * 100
+                        issues.append(f"距止损仅{dsl:.1f}%(利润保护,浮盈{pnl:.0f}%)")
+                    else:
+                        flags.append("[NEAR_SL]")
+                        issues.append(f"距止损仅{dsl:.1f}%")
+            if tp and tp > 0:
+                dtp = (tp / price - 1) * 100
+                if dtp < 5:
+                    # 成本基准校验：止盈标记只有在盈利≥5%时才有效
+                    cost_check = True
+                    cost = d.get("cost")
+                    if cost and cost > 0 and price < cost * 1.05:
+                        cost_check = False
+                    if cost_check:
+                        flags.append("[NEAR_TP]")
+                        issues.append(f"距止盈仅{dtp:.1f}%")
+
+        # -- 过期 --
+        stale_limit = 30 if is_wl else 14
+        if ts:
+            try:
+                ud = datetime.fromisoformat(ts)
+                if ud.tzinfo is None:
+                    ud = ud.replace(tzinfo=timezone.utc)
+                days = (now - ud).days
+                if days > stale_limit:
+                    flags.append("[STALE]")
+                    issues.append(f"{days}天未更新(>{stale_limit})")
+            except (ValueError, TypeError):
+                pass
+
+        if issues:
+            print(f"{' '.join(flags)} {tag} {name}({code}) 价{price:.2f}{chg} | 买入{el}~{eh} | {'; '.join(issues)}")
+            found += 1
+
+    if found == 0:
+        print("[SILENT] 所有策略正常")
+
+    # ----- 组合级警报 -----
+    portfolio_alerts = 0
+    if holding_count > 0:
+        if weak_ratio > 40:
+            print(f"\n[PORTFOLIO_WEAK] 组合弱势比例{weak_ratio:.0f}% ({weak_count}/{holding_count})！仓位{position_pct:.1f}% → 建议系统性减仓")
+            portfolio_alerts += 1
+        elif weak_ratio > 30:
+            print(f"\n[PORTFOLIO_WEAK_MILD] 组合弱势比例{weak_ratio:.0f}% ({weak_count}/{holding_count})，仓位{position_pct:.1f}%，关注")
+            portfolio_alerts += 1
+    if position_pct > 80 and holding_count > 0:
+        # 仓位过满提醒
+        print(f"[PORTFOLIO_FULL] 总仓位{position_pct:.1f}% > 80%，现金{cash:.0f}({cash/total_assets*100:.1f}%)")
+        portfolio_alerts += 1
+    if portfolio_alerts > 0:
+        found += portfolio_alerts
+
+    return found
+
+
+if __name__ == "__main__":
+    main()