1

backend/app/crypto_agent/crypto_agent.py

@@ -3,7 +3,7 @@
 """
 import asyncio
 import math
-from collections import deque
+from collections import deque, defaultdict
 from typing import Dict, Any, List, Optional
 from datetime import datetime, timedelta
 import pandas as pd
@@ -291,6 +291,28 @@ class CryptoAgent:
             "last_signal_symbol": None,
             "last_heartbeat_notified_at": None,
         }
+        self._analysis_funnel_stats: Dict[str, Any] = {
+            "total_triggers": 0,
+            "scheduled_triggers": 0,
+            "event_triggers": 0,
+            "manual_triggers": 0,
+            "data_invalid_skips": 0,
+            "volatility_skips": 0,
+            "llm_lane_calls": {
+                "intraday": 0,
+                "trend": 0,
+            },
+            "llm_analyses": 0,
+            "cache_only_runs": 0,
+            "pre_regime_trade_signals": 0,
+            "post_regime_trade_signals": 0,
+            "regime_filtered_out": 0,
+            "no_trade_signal_runs": 0,
+            "threshold_filtered_runs": 0,
+            "valid_signal_runs": 0,
+            "valid_signals_total": 0,
+            "last_updated_at": None,
+        }
         self._lane_analysis_state: Dict[str, Dict[str, Any]] = {}
         self._event_analysis_state: Dict[str, Dict[str, Any]] = {}
         self._event_analysis_tasks: Dict[str, asyncio.Task] = {}
@@ -800,6 +822,171 @@ class CryptoAgent:
     def get_recent_analysis_events(self, limit: int = 40) -> List[Dict[str, Any]]:
         return list(self._analysis_events)[:limit]
 
+    def _bump_analysis_stat(self, key: str, amount: int = 1):
+        self._analysis_funnel_stats[key] = int(self._analysis_funnel_stats.get(key, 0) or 0) + amount
+        self._analysis_funnel_stats["last_updated_at"] = datetime.now().isoformat()
+
+    def _bump_lane_call(self, lane: str, amount: int = 1):
+        lane_calls = self._analysis_funnel_stats.setdefault("llm_lane_calls", {})
+        lane_calls[lane] = int(lane_calls.get(lane, 0) or 0) + amount
+        self._analysis_funnel_stats["last_updated_at"] = datetime.now().isoformat()
+
+    def _summarize_recent_analysis_funnel(self, hours: int = 24) -> Dict[str, Any]:
+        cutoff = datetime.now() - timedelta(hours=hours)
+        events = []
+        for event in self._analysis_events:
+            timestamp = self._parse_iso_datetime(event.get("timestamp"))
+            if timestamp and timestamp >= cutoff:
+                events.append(event)
+
+        summary: Dict[str, Any] = {
+            "window_hours": hours,
+            "total_events": len(events),
+            "triggered_symbols": 0,
+            "llm_runs": 0,
+            "cache_only_runs": 0,
+            "data_invalid_skips": 0,
+            "volatility_skips": 0,
+            "no_trade_signal_runs": 0,
+            "threshold_filtered_runs": 0,
+            "valid_signal_runs": 0,
+            "valid_signals_total": 0,
+            "symbols": {},
+            "lane_calls": {
+                "intraday": 0,
+                "trend": 0,
+            },
+            "lane_signal_counts": {
+                "short_term_pre": 0,
+                "medium_term_pre": 0,
+                "short_term_post": 0,
+                "medium_term_post": 0,
+            },
+            "blocked_reason_counts": {},
+        }
+
+        symbol_stats: Dict[str, Dict[str, Any]] = defaultdict(lambda: {
+            "triggers": 0,
+            "llm_runs": 0,
+            "cache_only_runs": 0,
+            "data_invalid_skips": 0,
+            "volatility_skips": 0,
+            "no_trade_signal_runs": 0,
+            "threshold_filtered_runs": 0,
+            "valid_signal_runs": 0,
+            "valid_signals_total": 0,
+            "last_status": None,
+            "last_detail": None,
+            "last_event_at": None,
+            "lane_calls": {
+                "intraday": 0,
+                "trend": 0,
+            },
+            "lane_signal_counts": {
+                "short_term_pre": 0,
+                "medium_term_pre": 0,
+                "short_term_post": 0,
+                "medium_term_post": 0,
+            },
+            "blocked_reason_counts": {},
+        })
+
+        blocked_reason_counts: Dict[str, int] = defaultdict(int)
+
+        for event in reversed(events):
+            event_type = event.get("event_type")
+            symbol = event.get("symbol") or ""
+            stats = symbol_stats[symbol] if symbol else None
+
+            if event_type == "symbol_analysis_started":
+                summary["triggered_symbols"] += 1
+                if stats is not None:
+                    stats["triggers"] += 1
+
+            if event_type == "llm_lane_plan":
+                cache_only = bool(event.get("cache_only"))
+                lanes_to_run = event.get("lanes_to_run") or []
+                if cache_only:
+                    summary["cache_only_runs"] += 1
+                    if stats is not None:
+                        stats["cache_only_runs"] += 1
+                else:
+                    summary["llm_runs"] += 1
+                    if stats is not None:
+                        stats["llm_runs"] += 1
+                    for lane in lanes_to_run:
+                        if lane in summary["lane_calls"]:
+                            summary["lane_calls"][lane] += 1
+                        if stats is not None and lane in stats["lane_calls"]:
+                            stats["lane_calls"][lane] += 1
+
+            if event_type == "symbol_analysis_skipped":
+                detail = str(event.get("detail") or "")
+                if "数据不完整" in detail:
+                    summary["data_invalid_skips"] += 1
+                    if stats is not None:
+                        stats["data_invalid_skips"] += 1
+                if "波动率过低" in detail:
+                    summary["volatility_skips"] += 1
+                    if stats is not None:
+                        stats["volatility_skips"] += 1
+
+            if event_type == "symbol_analysis_completed":
+                trade_signals = int(event.get("trade_signals", 0) or 0)
+                valid_signals = int(event.get("valid_signals", 0) or 0)
+                detail = str(event.get("detail") or "")
+                pre_lane_counts = event.get("pre_regime_lane_signal_counts") or {}
+                post_lane_counts = event.get("post_regime_lane_signal_counts") or {}
+                summary["lane_signal_counts"]["short_term_pre"] += int(pre_lane_counts.get("short_term", 0) or 0)
+                summary["lane_signal_counts"]["medium_term_pre"] += int(pre_lane_counts.get("medium_term", 0) or 0)
+                summary["lane_signal_counts"]["short_term_post"] += int(post_lane_counts.get("short_term", 0) or 0)
+                summary["lane_signal_counts"]["medium_term_post"] += int(post_lane_counts.get("medium_term", 0) or 0)
+                if stats is not None:
+                    stats["lane_signal_counts"]["short_term_pre"] += int(pre_lane_counts.get("short_term", 0) or 0)
+                    stats["lane_signal_counts"]["medium_term_pre"] += int(pre_lane_counts.get("medium_term", 0) or 0)
+                    stats["lane_signal_counts"]["short_term_post"] += int(post_lane_counts.get("short_term", 0) or 0)
+                    stats["lane_signal_counts"]["medium_term_post"] += int(post_lane_counts.get("medium_term", 0) or 0)
+                event_reason_counts = event.get("blocked_reason_counts") or {}
+                for reason_key, count in event_reason_counts.items():
+                    blocked_reason_counts[str(reason_key)] += int(count or 0)
+                    if stats is not None:
+                        symbol_reason_counts = stats.setdefault("blocked_reason_counts", {})
+                        symbol_reason_counts[str(reason_key)] = int(symbol_reason_counts.get(str(reason_key), 0) or 0) + int(count or 0)
+                if trade_signals == 0:
+                    summary["no_trade_signal_runs"] += 1
+                    if stats is not None:
+                        stats["no_trade_signal_runs"] += 1
+                elif valid_signals == 0:
+                    summary["threshold_filtered_runs"] += 1
+                    if stats is not None:
+                        stats["threshold_filtered_runs"] += 1
+                else:
+                    summary["valid_signal_runs"] += 1
+                    summary["valid_signals_total"] += valid_signals
+                    if stats is not None:
+                        stats["valid_signal_runs"] += 1
+                        stats["valid_signals_total"] += valid_signals
+
+                if stats is not None:
+                    stats["last_status"] = event.get("status")
+                    stats["last_detail"] = detail
+                    stats["last_event_at"] = event.get("timestamp")
+
+        summary["symbols"] = dict(sorted(
+            (
+                (symbol, payload)
+                for symbol, payload in symbol_stats.items()
+                if symbol
+            ),
+            key=lambda item: (
+                -(item[1]["valid_signal_runs"] or 0),
+                -(item[1]["triggers"] or 0),
+                item[0],
+            )
+        ))
+        summary["blocked_reason_counts"] = dict(sorted(blocked_reason_counts.items(), key=lambda item: (-item[1], item[0])))
+        return summary
+
     def _on_price_update(self, symbol: str, price: float):
         """处理实时价格更新（用于模拟交易）"""
         if not self.paper_trading:
@@ -1262,6 +1449,14 @@ class CryptoAgent:
             symbol: 交易对，如 'BTCUSDT'
         """
         try:
+            self._bump_analysis_stat("total_triggers")
+            if trigger_source == "schedule":
+                self._bump_analysis_stat("scheduled_triggers")
+            elif trigger_source == "event":
+                self._bump_analysis_stat("event_triggers")
+            else:
+                self._bump_analysis_stat("manual_triggers")
+
             # 更新活动时间
             monitor = get_system_monitor()
             monitor.update_activity("crypto_agent")
@@ -1284,6 +1479,7 @@ class CryptoAgent:
             data = self.exchange.get_multi_timeframe_data(symbol)
 
             if not self._validate_data(data):
+                self._bump_analysis_stat("data_invalid_skips")
                 self._analysis_monitor["last_analysis_completed_at"] = datetime.now().isoformat()
                 self._analysis_monitor["last_analysis_status"] = "warning"
                 self._analysis_monitor["last_analysis_detail"] = "数据不完整，跳过分析"
@@ -1323,6 +1519,7 @@ class CryptoAgent:
             # 1.5. 波动率检查（节省 LLM 调用）
             should_analyze, volatility_reason, volatility = self._check_volatility(symbol, data)
             if not should_analyze:
+                self._bump_analysis_stat("volatility_skips")
                 self._analysis_monitor["last_analysis_completed_at"] = datetime.now().isoformat()
                 self._analysis_monitor["last_analysis_status"] = "skipped"
                 self._analysis_monitor["last_analysis_detail"] = volatility_reason
@@ -1351,6 +1548,13 @@ class CryptoAgent:
             elif not lanes_to_run:
                 logger.info("   🧊 LLM 冷却中，使用上一轮 lane 缓存结果")
 
+            if lanes_to_run:
+                self._bump_analysis_stat("llm_analyses")
+                for lane in lanes_to_run:
+                    self._bump_lane_call(lane)
+            else:
+                self._bump_analysis_stat("cache_only_runs")
+
             self._record_analysis_event(
                 "llm_lane_plan",
                 symbol=symbol,
@@ -1390,8 +1594,15 @@ class CryptoAgent:
             # 过滤掉 wait 信号，只保留 buy/sell 信号
             signals = market_signal.get('signals', [])
             trade_signals = [s for s in signals if s.get('action') in ['buy', 'sell']]
+            pre_regime_trade_signals = int(market_signal.get('pre_regime_trade_signal_count', len(trade_signals)) or 0)
+            self._bump_analysis_stat("pre_regime_trade_signals", pre_regime_trade_signals)
+            self._bump_analysis_stat("post_regime_trade_signals", len(trade_signals))
+            filtered_out = max(0, pre_regime_trade_signals - len(trade_signals))
+            if filtered_out:
+                self._bump_analysis_stat("regime_filtered_out", filtered_out)
 
             if not trade_signals:
+                self._bump_analysis_stat("no_trade_signal_runs")
                 self._analysis_monitor["last_analysis_completed_at"] = datetime.now().isoformat()
                 self._analysis_monitor["last_analysis_status"] = "completed"
                 self._analysis_monitor["last_analysis_detail"] = "完成分析，无交易信号"
@@ -1400,7 +1611,13 @@ class CryptoAgent:
                     symbol=symbol,
                     status="success",
                     detail="完成分析，无交易信号",
-                    extra={"trade_signals": 0, "valid_signals": 0},
+                    extra={
+                        "trade_signals": 0,
+                        "valid_signals": 0,
+                        "blocked_reason_counts": market_signal.get("blocked_reason_counts") or {},
+                        "pre_regime_lane_signal_counts": market_signal.get("pre_regime_lane_signal_counts") or {},
+                        "post_regime_lane_signal_counts": market_signal.get("post_regime_lane_signal_counts") or {},
+                    },
                 )
                 blocked_reasons = market_signal.get('blocked_reasons') or []
                 if blocked_reasons:
@@ -1414,6 +1631,7 @@ class CryptoAgent:
             valid_signals = [s for s in trade_signals if s.get('confidence', 0) >= threshold]
 
             if not valid_signals:
+                self._bump_analysis_stat("threshold_filtered_runs")
                 self._analysis_monitor["last_analysis_completed_at"] = datetime.now().isoformat()
                 self._analysis_monitor["last_analysis_status"] = "completed"
                 self._analysis_monitor["last_analysis_detail"] = f"完成分析，但无信号达到阈值 {threshold}%"
@@ -1422,11 +1640,19 @@ class CryptoAgent:
                     symbol=symbol,
                     status="success",
                     detail=f"完成分析，但无信号达到阈值 {threshold}%",
-                    extra={"trade_signals": len(trade_signals), "valid_signals": 0},
+                    extra={
+                        "trade_signals": len(trade_signals),
+                        "valid_signals": 0,
+                        "blocked_reason_counts": market_signal.get("blocked_reason_counts") or {},
+                        "pre_regime_lane_signal_counts": market_signal.get("pre_regime_lane_signal_counts") or {},
+                        "post_regime_lane_signal_counts": market_signal.get("post_regime_lane_signal_counts") or {},
+                    },
                 )
                 logger.info(f"\n⏸️  结论: 无交易信号达到置信度阈值 ({threshold}%)，继续观望")
                 return
 
+            self._bump_analysis_stat("valid_signal_runs")
+            self._bump_analysis_stat("valid_signals_total", len(valid_signals))
             logger.info(f"\n✅ 发现 {len(valid_signals)} 个有效交易信号（达到 {threshold}% 阈值）")
             for signal in valid_signals:
                 logger.info(
@@ -1535,7 +1761,13 @@ class CryptoAgent:
                 symbol=symbol,
                 status="success",
                 detail=f"完成分析，产生 {len(valid_signals)} 个有效信号",
-                extra={"trade_signals": len(trade_signals), "valid_signals": len(valid_signals)},
+                extra={
+                    "trade_signals": len(trade_signals),
+                    "valid_signals": len(valid_signals),
+                    "blocked_reason_counts": market_signal.get("blocked_reason_counts") or {},
+                    "pre_regime_lane_signal_counts": market_signal.get("pre_regime_lane_signal_counts") or {},
+                    "post_regime_lane_signal_counts": market_signal.get("post_regime_lane_signal_counts") or {},
+                },
             )
 
         except Exception as e:
@@ -4388,6 +4620,8 @@ class CryptoAgent:
             'target_execution_controls': self.get_target_execution_status(),
             'analysis_monitor': self._analysis_monitor,
             'analysis_notifications': self._analysis_notification_state,
+            'analysis_funnel_stats': self._analysis_funnel_stats,
+            'analysis_funnel_24h': self._summarize_recent_analysis_funnel(hours=24),
             'lane_analysis_state': self._lane_analysis_state,
             'event_analysis_state': self._event_analysis_state,
             'execution_guardian': self.execution_guardian.get_status(),

backend/app/crypto_agent/market_signal_analyzer.py

@@ -1574,6 +1574,11 @@ class MarketSignalAnalyzer:
         )[:2]
 
         result['signals'] = merged_signals
+        result['pre_regime_trade_signal_count'] = len(merged_signals)
+        result['pre_regime_lane_signal_counts'] = {
+            'short_term': len(intraday_signals),
+            'medium_term': len(trend_signals),
+        }
         result['key_levels'] = {
             'support': self._dedupe_levels(
                 (intraday_result.get('key_levels', {}) or {}).get('support', []) +
@@ -1665,12 +1670,17 @@ class MarketSignalAnalyzer:
                 }
             )
 
-        filtered_signals, blocked_reasons = self.setup_policy.filter_signals(enriched_signals, regime_profile)
+        filtered_signals, blocked_reasons, blocked_reason_counts = self.setup_policy.filter_signals(enriched_signals, regime_profile)
 
         normalized = dict(market_signal)
         normalized["signals"] = filtered_signals
         normalized["regime_profile"] = regime_profile
         normalized["blocked_reasons"] = blocked_reasons[:6]
+        normalized["blocked_reason_counts"] = blocked_reason_counts
+        normalized["post_regime_lane_signal_counts"] = {
+            'short_term': len([signal for signal in filtered_signals if (signal.get("timeframe") or signal.get("type")) == "short_term"]),
+            'medium_term': len([signal for signal in filtered_signals if (signal.get("timeframe") or signal.get("type")) == "medium_term"]),
+        }
 
         if not filtered_signals and blocked_reasons:
             normalized["analysis_summary"] = self._truncate_summary(regime_profile.get("summary") or "当前状态不交易")

backend/app/crypto_agent/setup_policy.py

@@ -1,6 +1,7 @@
 """
 市场状态到交易行为的硬约束策略
 """
+from collections import defaultdict
 from typing import Any, Dict, List, Tuple
 
 
@@ -15,15 +16,18 @@ class SetupPolicy:
         self,
         signals: List[Dict[str, Any]],
         regime_profile: Dict[str, Any],
-    ) -> Tuple[List[Dict[str, Any]], List[str]]:
+    ) -> Tuple[List[Dict[str, Any]], List[str], Dict[str, int]]:
         allowed_lanes = set(regime_profile.get("allowed_lanes") or [])
         allowed_setups = set(regime_profile.get("allowed_setups") or [])
         tradability = regime_profile.get("tradability", "avoid")
         reasons: List[str] = []
+        reason_counts: Dict[str, int] = defaultdict(int)
 
         if tradability == "avoid" or not allowed_lanes or not allowed_setups:
-            reasons.extend(regime_profile.get("no_trade_reasons") or ["当前市场状态不允许交易"])
-            return [], reasons
+            base_reasons = regime_profile.get("no_trade_reasons") or ["当前市场状态不允许交易"]
+            reasons.extend(base_reasons)
+            reason_counts["tradability_avoid"] += max(1, len(signals or []))
+            return [], reasons, dict(reason_counts)
 
         kept: List[Dict[str, Any]] = []
         for signal in signals or []:
@@ -34,10 +38,12 @@ class SetupPolicy:
 
             if lane not in allowed_lanes:
                 reasons.append(f"{lane} 不在允许交易周期内")
+                reason_counts[f"lane_blocked:{lane}"] += 1
                 continue
 
             if setup_type not in allowed_setups:
                 reasons.append(f"{setup_type} 不在允许 setup 内")
+                reason_counts[f"setup_blocked:{setup_type}"] += 1
                 continue
 
             kept.append({
@@ -47,7 +53,7 @@ class SetupPolicy:
                 "entry_basis": entry_basis,
             })
 
-        return kept, reasons
+        return kept, reasons, dict(reason_counts)
 
     def _infer_setup_type(self, signal: Dict[str, Any]) -> str:
         lane = signal.get("timeframe") or signal.get("type") or "medium_term"

frontend/console.html

@@ -3164,6 +3164,7 @@
             const attentionItems = management.attention_items || [];
             const haltedCount = countHalted(cryptoAgent.platform_halts || {});
             const latestSignals = data.signals?.latest || [];
+            const funnel = cryptoAgent.analysis_funnel_stats || {};
             const heartbeatHeadline = monitor.last_heartbeat_at ? relativeTime(monitor.last_heartbeat_at) : '无心跳';
             const heartbeatTone = toneClassForHealth(cryptoAgent.running ? (monitor.last_cycle_status || monitor.last_analysis_status) : 'stopped');
             const exposureNotional = positions.reduce((sum, item) => {
@@ -3184,7 +3185,7 @@
                 <div class="focus-summary-card">
                     <div class="kicker">最近信号</div>
                     <div class="headline ${signalTone}">${latestSignals.length}</div>
-                    <div class="detail">最新 ${latestSignals[0]?.symbol || '-'} / ${latestSignals[0]?.signal_type || '-'}</div>
+                    <div class="detail">有效轮次 ${funnel.valid_signal_runs || 0} / 无信号 ${funnel.no_trade_signal_runs || 0}</div>
                 </div>
                 <div class="focus-summary-card">
                     <div class="kicker">持仓暴露</div>
@@ -3279,6 +3280,29 @@
             return 'good';
         }
 
+        function formatBlockedReason(reasonKey) {
+            const key = String(reasonKey || '');
+            if (key === 'tradability_avoid') return '市场状态禁止交易';
+            if (key.startsWith('lane_blocked:')) {
+                const lane = key.split(':')[1] || '';
+                return lane === 'short_term' ? '日内 lane 被禁止' : lane === 'medium_term' ? '趋势 lane 被禁止' : `lane 被禁止: ${lane}`;
+            }
+            if (key.startsWith('setup_blocked:')) {
+                const setup = key.split(':')[1] || '';
+                const setupMap = {
+                    range_reversal: '区间反转 setup 被禁止',
+                    trend_continuation_pullback: '趋势回调延续 setup 被禁止',
+                    deep_pullback_continuation: '深回踩延续 setup 被禁止',
+                    trend_reversal: '趋势反转 setup 被禁止',
+                    breakout_confirmation: '突破确认 setup 被禁止',
+                    breakout_pullback: '突破回踩 setup 被禁止',
+                    unknown: '未识别 setup 被禁止',
+                };
+                return setupMap[setup] || `setup 被禁止: ${setup}`;
+            }
+            return key || '-';
+        }
+
         function renderHealthRibbon(data) {
             const container = document.getElementById('healthRibbon');
             const cryptoAgent = data.crypto_agent || {};
@@ -3641,9 +3665,14 @@
             const monitor = analysisMonitor || {};
             const notifications = cachedConsoleData?.crypto_agent?.analysis_notifications || {};
             const schedule = cachedConsoleData?.crypto_agent?.llm_schedule || {};
+            const funnel = cachedConsoleData?.crypto_agent?.analysis_funnel_stats || {};
+            const funnel24h = cachedConsoleData?.crypto_agent?.analysis_funnel_24h || {};
             const cycleStatus = monitor.last_cycle_status || 'idle';
             const lastSignalAt = notifications.last_signal_at;
             const lastSignalSymbol = notifications.last_signal_symbol || '-';
+            const topSymbols = Object.entries(funnel24h.symbols || {}).slice(0, 3);
+            const topBlockedReasons = Object.entries(funnel24h.blocked_reason_counts || {}).slice(0, 3);
+            const laneSignalCounts = funnel24h.lane_signal_counts || {};
 
             if (!heartbeat || !summaryCard) return;
 
@@ -3674,6 +3703,33 @@
                     <div class="runtime-summary-row"><span>最近完成轮次</span><strong>${monitor.last_cycle_completed_at ? `${relativeTime(monitor.last_cycle_completed_at)} / ${formatTime(monitor.last_cycle_completed_at)}` : '暂无'}</strong></div>
                     <div class="runtime-summary-row"><span>日内 / 趋势冷却</span><strong>${schedule.intraday_cooldown_minutes || '-'}m / ${schedule.trend_cooldown_minutes || '-'}m</strong></div>
                     <div class="runtime-summary-row"><span>事件分析</span><strong>${schedule.event_analysis_enabled ? '开启' : '关闭'}</strong></div>
+                    <div class="runtime-summary-row"><span>触发 / LLM</span><strong>${funnel.total_triggers || 0} / ${funnel.llm_analyses || 0}</strong></div>
+                    <div class="runtime-summary-row"><span>波动率跳过 / 数据异常</span><strong>${funnel.volatility_skips || 0} / ${funnel.data_invalid_skips || 0}</strong></div>
+                    <div class="runtime-summary-row"><span>硬规则过滤 / 阈值过滤</span><strong>${funnel.regime_filtered_out || 0} / ${funnel.threshold_filtered_runs || 0}</strong></div>
+                    <div class="runtime-summary-row"><span>24h 触发 / LLM</span><strong>${funnel24h.triggered_symbols || 0} / ${funnel24h.llm_runs || 0}</strong></div>
+                    <div class="runtime-summary-row"><span>24h 日内 / 趋势</span><strong>${funnel24h.lane_calls?.intraday || 0} / ${funnel24h.lane_calls?.trend || 0}</strong></div>
+                    <div class="runtime-summary-row"><span>24h 日内前后</span><strong>${laneSignalCounts.short_term_pre || 0} / ${laneSignalCounts.short_term_post || 0}</strong></div>
+                    <div class="runtime-summary-row"><span>24h 趋势前后</span><strong>${laneSignalCounts.medium_term_pre || 0} / ${laneSignalCounts.medium_term_post || 0}</strong></div>
+                </div>
+                <div class="lane-state-list">
+                    ${topSymbols.length ? topSymbols.map(([symbol, stats]) => `
+                        <div class="lane-state-item">
+                            <div class="lane-state-symbol">${symbol}</div>
+                            <div class="lane-state-detail">
+                                24h 触发 ${stats.triggers || 0} / LLM ${stats.llm_runs || 0} / 有效 ${stats.valid_signal_runs || 0}
+                                <br>日内前后 ${stats.lane_signal_counts?.short_term_pre || 0}/${stats.lane_signal_counts?.short_term_post || 0} / 趋势前后 ${stats.lane_signal_counts?.medium_term_pre || 0}/${stats.lane_signal_counts?.medium_term_post || 0}
+                                <br>波动率跳过 ${stats.volatility_skips || 0} / 阈值过滤 ${stats.threshold_filtered_runs || 0}
+                            </div>
+                        </div>
+                    `).join('') : '<div class="analysis-log-detail">近 24 小时还没有形成 symbol 级分析统计。</div>'}
+                </div>
+                <div class="lane-state-list" style="margin-top: 10px;">
+                    ${topBlockedReasons.length ? topBlockedReasons.map(([reason, count]) => `
+                        <div class="lane-state-item">
+                            <div class="lane-state-symbol">${count}</div>
+                            <div class="lane-state-detail">${formatBlockedReason(reason)}</div>
+                        </div>
+                    `).join('') : '<div class="analysis-log-detail">近 24 小时没有记录到明确的硬规则过滤原因。</div>'}
                 </div>
             `;
         }