1

app/core/opportunity_lifecycle.py

@@ -131,6 +131,16 @@ def to_float(value: Any, default: float = 0.0) -> float:
         return default
 
 
+def calc_rr_target_entry(stop_loss: float, tp1: float, min_rr: float) -> float:
+    """最高允许入场价：在该价格或更低买入，RR1 才能达到 min_rr。"""
+    stop_loss = to_float(stop_loss)
+    tp1 = to_float(tp1)
+    min_rr = to_float(min_rr)
+    if stop_loss <= 0 or tp1 <= stop_loss or min_rr <= 0:
+        return 0.0
+    return round((tp1 + min_rr * stop_loss) / (1 + min_rr), 8)
+
+
 def detect_breakout_distance_pct(signals: Iterable[Any]) -> float:
     """从“站稳突破位 +66.7%”等信号中提取最大追高距离。"""
     max_pct = 0.0
@@ -320,6 +330,19 @@ def apply_entry_quality_gate(
         if action_status == "等回踩" and current_price > 0 and to_float(entry_plan.get("entry_price")) > 0 and current_price <= to_float(entry_plan.get("entry_price")) * 1.003 and (risk_reward_ok is False or rr1 < _cfg_value(cfg, "min_rr_buy_now")):
             target_action = "观察"
             reasons.append("回踩参考已到，但实时盈亏比不达标，转为观察")
+        elif action_status == "可即刻买入" and current_price > 0 and stop_loss > 0 and tp1 > stop_loss and (risk_reward_ok is False or rr1 < _cfg_value(cfg, "min_rr_buy_now")):
+            rr_target_entry = calc_rr_target_entry(stop_loss, tp1, _cfg_value(cfg, "min_rr_buy_now"))
+            if rr_target_entry > stop_loss and rr_target_entry < current_price * 0.997:
+                target_action = "等回踩"
+                entry_plan["entry_price"] = rr_target_entry
+                entry_plan["entry_method"] = f"等回踩至可买RR价 {rr_target_entry:.8g}"
+                entry_plan["entry_action"] = "等回踩"
+                entry_plan["rr_target_entry"] = rr_target_entry
+                entry_plan["rr_target_reason"] = f"现价RR不足，需回落到该价或更低，RR1才≥{_cfg_value(cfg, 'min_rr_buy_now')}"
+                reasons.append(f"现价不买，等回落到{rr_target_entry:.8g}附近再评估")
+            else:
+                target_action = "观察"
+                reasons.append("无法给出有效回踩买点，转为观察")
         else:
             # risk_reward_ok=false / rr1不足 / 追高距离过远 都代表“现价买入被禁止”；
             # 展示层必须降级为“等回踩/观察”，否则会出现“闸门禁止买入但仍显示入场窗口”的矛盾。

app/db/altcoin_db.py

@@ -1612,11 +1612,30 @@ def update_state(symbol, new_state, score=0, anomaly_type="", sector="",
 
 
 def get_candidates_for_confirm():
-    """获取需要确认层检查的候选（加速状态+score≥5）"""
+    """获取需要确认层检查的候选。
+
+    优先处理最近一轮粗筛/细筛刚更新的候选，避免旧 coin_state 中的高分候选
+    抢占确认层，导致链路日志里“细筛通过”和“确认处理”对不上。
+    """
+    try:
+        _, _, accumulate_threshold = state_score_thresholds()
+    except Exception:
+        accumulate_threshold = 3
     conn = get_conn()
     rows = conn.execute("""
-    SELECT * FROM coin_state WHERE state IN ('加速', '蓄力') AND score >= 5
+    SELECT * FROM coin_state
-    """).fetchall()
+    WHERE state IN ('加速', '蓄力')
+      AND score >= ?
+      AND julianday(?) - julianday(detected_at) <= ?
+    ORDER BY detected_at DESC, score DESC
+    """, (accumulate_threshold, datetime.now().isoformat(), 45 / 1440.0)).fetchall()
+    if not rows:
+        rows = conn.execute("""
+        SELECT * FROM coin_state
+        WHERE state IN ('加速', '蓄力')
+          AND score >= 5
+        ORDER BY detected_at DESC, score DESC
+        """).fetchall()
     conn.close()
     return [dict(r) for r in rows]
 

app/db/analytics.py

@@ -1,7 +1,7 @@
 """Analytics-facing DB API grouped by read concerns."""
 
 import json
-from datetime import datetime
+from datetime import datetime, timedelta
 
 from app.db.altcoin_db import (
     _classify_recommendation_result,
@@ -38,6 +38,37 @@ def _loads_json(value, fallback):
     return fallback
 
 
+def _safe_int(value, default=0):
+    try:
+        return int(value or 0)
+    except Exception:
+        return default
+
+
+def _safe_float(value, default=0.0):
+    try:
+        return float(value or 0)
+    except Exception:
+        return default
+
+
+def _parse_dt(value):
+    if isinstance(value, datetime):
+        return value
+    if not value:
+        return None
+    try:
+        return datetime.fromisoformat(str(value).replace("Z", "+00:00")).replace(tzinfo=None)
+    except Exception:
+        return None
+
+
+def _iso(value):
+    if isinstance(value, datetime):
+        return value.isoformat(timespec="seconds")
+    return str(value or "")
+
+
 def get_observation_candidates(limit=50):
     """Return current coarse-screen observation candidates for the watch pool."""
     conn = get_conn()
@@ -750,11 +781,369 @@ def get_cron_run_summary(hours=24):
     }
 
 
+def _pipeline_window(run, next_run_start=None):
+    started = _parse_dt(run.get("started_at")) or datetime.now()
+    finished = _parse_dt(run.get("finished_at")) or started
+    if finished < started:
+        finished = started
+    window_start = started - timedelta(minutes=10)
+    window_end = finished + timedelta(minutes=30)
+    next_started = _parse_dt(next_run_start)
+    if next_started and next_started > finished:
+        window_end = min(window_end, next_started - timedelta(seconds=1))
+    return window_start, window_end
+
+
+def _cron_item(row):
+    item = dict(row)
+    item["summary_json"] = _loads_json(item.get("summary_json"), {})
+    return item
+
+
+def _screening_item(row):
+    item = dict(row)
+    item["signals"] = _loads_json(item.get("signals"), [])
+    item["detail_json"] = _loads_json(item.get("detail_json"), {})
+    if item.get("layer") == "细筛":
+        item["stage_bucket"] = "fine"
+        item["stage_label"] = "细筛通过"
+    elif item.get("layer") == "确认":
+        item["stage_bucket"] = "confirm"
+        item["stage_label"] = "确认记录"
+    else:
+        item["stage_bucket"] = "coarse"
+        item["stage_label"] = "观察候选"
+    return item
+
+
+def _recommendation_item(row):
+    item = dict(row)
+    item["signals"] = _loads_json(item.get("signals"), [])
+    item["signal_codes"] = _loads_json(item.get("signal_codes_json"), [])
+    item["signal_labels"] = _loads_json(item.get("signal_labels_json"), [])
+    item["entry_plan"] = _loads_json(item.get("entry_plan_json"), {})
+    rec_result, rec_result_label = _classify_recommendation_result(item)
+    item["recommendation_result"] = rec_result
+    item["recommendation_result_label"] = rec_result_label
+    _derive_execution_fields(item)
+    return item
+
+
+def _review_item(row):
+    item = dict(row)
+    item["triggered_signals"] = _loads_json(item.get("triggered_signals"), [])
+    item["hit_signals"] = _loads_json(item.get("hit_signals"), [])
+    item["miss_signals"] = _loads_json(item.get("miss_signals"), [])
+    return item
+
+
+def _missed_item(row):
+    item = dict(row)
+    item["features_detected"] = _loads_json(item.get("features_detected"), {})
+    return item
+
+
+def _performance_status(rec, reviews_by_rec):
+    status = (rec.get("status") or "").strip()
+    review_outcomes = [(r.get("outcome") or "").strip() for r in reviews_by_rec.get(rec.get("id"), [])]
+    if status in ("hit_tp1", "hit_tp2") or "爆发" in review_outcomes:
+        return "success"
+    if status == "stopped_out" or "失败" in review_outcomes:
+        return "failed"
+    return "pending"
+
+
+def _select_pipeline_rows(conn, run):
+    next_row = conn.execute(
+        """
+        SELECT started_at FROM cron_run_log
+        WHERE job_name='粗筛' AND started_at > ?
+        ORDER BY started_at ASC, id ASC
+        LIMIT 1
+        """,
+        (run.get("started_at"),),
+    ).fetchone()
+    window_start, window_end = _pipeline_window(run, next_row["started_at"] if next_row else None)
+    run_started = _iso(_parse_dt(run.get("started_at")) or window_start)
+    run_finished = _iso(_parse_dt(run.get("finished_at")) or _parse_dt(run.get("started_at")) or window_start)
+    start_text = _iso(window_start)
+    end_text = _iso(window_end)
+    cron_rows = conn.execute(
+        """
+        SELECT * FROM cron_run_log
+        WHERE started_at >= ? AND started_at <= ?
+          AND (
+            job_name IN ('事件舆情', '跟踪', '复盘')
+            OR (job_name='粗筛' AND id=?)
+            OR (job_name='确认' AND started_at >= ?)
+          )
+        ORDER BY started_at ASC, id ASC
+        """,
+        (start_text, end_text, run.get("id"), run_finished),
+    ).fetchall()
+    screening_rows = conn.execute(
+        """
+        SELECT * FROM screening_log
+        WHERE (
+            layer IN ('粗筛', '细筛') AND scan_time >= ? AND scan_time <= ?
+        ) OR (
+            layer='确认' AND scan_time >= ? AND scan_time <= ?
+        ) OR (
+            layer='舆情触发' AND scan_time >= ? AND scan_time <= ?
+        )
+        ORDER BY scan_time ASC, score DESC, id ASC
+        """,
+        (run_started, run_finished, run_finished, end_text, start_text, end_text),
+    ).fetchall()
+    rec_rows = conn.execute(
+        """
+        SELECT * FROM recommendation
+        WHERE rec_time >= ? AND rec_time <= ?
+        ORDER BY rec_time ASC, id ASC
+        """,
+        (run_finished, end_text),
+    ).fetchall()
+    rec_ids = [row["id"] for row in rec_rows]
+    reviews = []
+    if rec_ids:
+        placeholders = ",".join(["?"] * len(rec_ids))
+        reviews = conn.execute(
+            f"""
+            SELECT * FROM review_log
+            WHERE rec_id IN ({placeholders})
+            ORDER BY review_time ASC, id ASC
+            """,
+            tuple(rec_ids),
+        ).fetchall()
+    review_window_rows = conn.execute(
+        """
+        SELECT * FROM review_log
+        WHERE review_time >= ? AND review_time <= ?
+        ORDER BY review_time ASC, id ASC
+        """,
+        (run_finished, end_text),
+    ).fetchall()
+    known_review_ids = {row["id"] for row in reviews}
+    for row in review_window_rows:
+        if row["id"] not in known_review_ids:
+            reviews.append(row)
+            known_review_ids.add(row["id"])
+    missed_rows = conn.execute(
+        """
+        SELECT * FROM missed_explosions
+        WHERE detect_time >= ? AND detect_time <= ?
+        ORDER BY detect_time ASC, id ASC
+        """,
+        (run_finished, end_text),
+    ).fetchall()
+    return {
+        "window_start": start_text,
+        "window_end": end_text,
+        "cron_rows": [_cron_item(row) for row in cron_rows],
+        "screening_rows": [_screening_item(row) for row in screening_rows],
+        "recommendation_rows": [_recommendation_item(row) for row in rec_rows],
+        "review_rows": [_review_item(row) for row in reviews],
+        "missed_rows": [_missed_item(row) for row in missed_rows],
+    }
+
+
+def _pipeline_summary_for_run(run, related):
+    summary = _loads_json(run.get("summary_json"), {})
+    confirm_rows = [r for r in related["cron_rows"] if r.get("job_name") == "确认"]
+    event_rows = [r for r in related["cron_rows"] if r.get("job_name") == "事件舆情"]
+    track_rows = [r for r in related["cron_rows"] if r.get("job_name") == "跟踪"]
+    review_cron_rows = [r for r in related["cron_rows"] if r.get("job_name") == "复盘"]
+
+    confirm_processed = 0
+    confirm_hits = 0
+    for row in confirm_rows:
+        s = row.get("summary_json") or {}
+        confirm_processed += _safe_int(s.get("processed_count"))
+        confirm_hits += _safe_int(s.get("confirmed_count"))
+
+    reviews_by_rec = {}
+    for review in related["review_rows"]:
+        reviews_by_rec.setdefault(review.get("rec_id"), []).append(review)
+
+    perf_counts = {"success": 0, "failed": 0, "pending": 0}
+    for rec in related["recommendation_rows"]:
+        perf_counts[_performance_status(rec, reviews_by_rec)] += 1
+
+    status = run.get("run_status") or "unknown"
+    rough_candidates = _safe_int(summary.get("total_candidates"))
+    fine_qualified = _safe_int(summary.get("total_qualified"))
+    if not rough_candidates:
+        rough_candidates = sum(1 for item in related["screening_rows"] if item.get("layer") == "粗筛")
+    if not fine_qualified:
+        fine_qualified = sum(1 for item in related["screening_rows"] if item.get("layer") == "细筛")
+
+    recommendations = len(related["recommendation_rows"])
+    hit_rate = round(recommendations / fine_qualified * 100, 1) if fine_qualified else 0
+    issue_notes = []
+    if status != "success":
+        issue_notes.append(run.get("error_message") or "任务异常")
+    if rough_candidates and not fine_qualified:
+        issue_notes.append("粗筛后细筛为空")
+    if fine_qualified and not confirm_hits:
+        issue_notes.append("确认未命中")
+    if confirm_hits and not recommendations:
+        issue_notes.append("确认命中但未生成推荐")
+    if perf_counts["failed"]:
+        issue_notes.append(f"失败 {perf_counts['failed']}")
+    if related["missed_rows"]:
+        issue_notes.append(f"漏选 {len(related['missed_rows'])}")
+
+    return {
+        "id": run.get("id"),
+        "run_id": run.get("id"),
+        "job_name": run.get("job_name"),
+        "script_name": run.get("script_name"),
+        "started_at": run.get("started_at"),
+        "finished_at": run.get("finished_at"),
+        "duration_ms": _safe_int(run.get("duration_ms")),
+        "run_status": status,
+        "result_status": run.get("result_status") or "",
+        "error_message": run.get("error_message") or "",
+        "window_start": related["window_start"],
+        "window_end": related["window_end"],
+        "rough_candidates": rough_candidates,
+        "fine_qualified": fine_qualified,
+        "confirm_processed": confirm_processed,
+        "confirm_hits": confirm_hits,
+        "recommendations": recommendations,
+        "perf_success": perf_counts["success"],
+        "perf_failed": perf_counts["failed"],
+        "perf_pending": perf_counts["pending"],
+        "missed_count": len(related["missed_rows"]),
+        "event_count": sum(_safe_int((row.get("summary_json") or {}).get("processed_count")) for row in event_rows),
+        "tracked_count": sum(_safe_int((row.get("summary_json") or {}).get("tracked_count")) for row in track_rows),
+        "review_count": len(related["review_rows"]),
+        "review_run_count": len(review_cron_rows),
+        "hit_rate": hit_rate,
+        "issue_notes": issue_notes[:3],
+    }
+
+
+def get_pipeline_runs(limit=30, hours=24):
+    """按粗筛任务批次聚合推荐链路日志。"""
+    try:
+        limit = max(1, min(int(limit or 30), 100))
+    except Exception:
+        limit = 30
+    try:
+        hours = max(1, min(int(hours or 24), 24 * 30))
+    except Exception:
+        hours = 24
+
+    conn = get_conn()
+    run_rows = conn.execute(
+        """
+        SELECT * FROM cron_run_log
+        WHERE job_name = '粗筛'
+          AND julianday(?) - julianday(started_at) <= ?
+        ORDER BY started_at DESC, id DESC
+        LIMIT ?
+        """,
+        (datetime.now().isoformat(), hours / 24.0, limit),
+    ).fetchall()
+
+    runs = []
+    for row in run_rows:
+        run = _cron_item(row)
+        related = _select_pipeline_rows(conn, run)
+        runs.append(_pipeline_summary_for_run(run, related))
+    conn.close()
+
+    kpi = {
+        "hours": hours,
+        "run_count": len(runs),
+        "rough_candidates": sum(item["rough_candidates"] for item in runs),
+        "fine_qualified": sum(item["fine_qualified"] for item in runs),
+        "confirm_processed": sum(item["confirm_processed"] for item in runs),
+        "confirm_hits": sum(item["confirm_hits"] for item in runs),
+        "recommendations": sum(item["recommendations"] for item in runs),
+        "perf_success": sum(item["perf_success"] for item in runs),
+        "perf_failed": sum(item["perf_failed"] for item in runs),
+        "perf_pending": sum(item["perf_pending"] for item in runs),
+        "missed_count": sum(item["missed_count"] for item in runs),
+    }
+    kpi["recommendation_rate"] = round(kpi["recommendations"] / kpi["fine_qualified"] * 100, 1) if kpi["fine_qualified"] else 0
+    kpi["performance_hit_rate"] = round(kpi["perf_success"] / (kpi["perf_success"] + kpi["perf_failed"]) * 100, 1) if (kpi["perf_success"] + kpi["perf_failed"]) else 0
+    return {"kpi": kpi, "runs": runs}
+
+
+def get_pipeline_run_detail(run_id):
+    """返回某次粗筛批次的链路明细。"""
+    conn = get_conn()
+    row = conn.execute("SELECT * FROM cron_run_log WHERE id=? AND job_name='粗筛'", (run_id,)).fetchone()
+    if not row:
+        conn.close()
+        return None
+    run = _cron_item(row)
+    related = _select_pipeline_rows(conn, run)
+    conn.close()
+
+    summary = _pipeline_summary_for_run(run, related)
+    reviews_by_rec = {}
+    for review in related["review_rows"]:
+        reviews_by_rec.setdefault(review.get("rec_id"), []).append(review)
+
+    recommendations = []
+    for rec in related["recommendation_rows"]:
+        rec_reviews = reviews_by_rec.get(rec.get("id"), [])
+        rec["performance_status"] = _performance_status(rec, reviews_by_rec)
+        rec["reviews"] = rec_reviews
+        if rec["performance_status"] == "success":
+            rec["stage_label"] = "复盘命中"
+        elif rec["performance_status"] == "failed":
+            rec["stage_label"] = "复盘失败"
+        else:
+            rec["stage_label"] = "交易推荐"
+        recommendations.append(rec)
+
+    timeline = []
+    for cron in related["cron_rows"]:
+        s = cron.get("summary_json") or {}
+        timeline.append({
+            "stage": cron.get("job_name") or "任务",
+            "started_at": cron.get("started_at"),
+            "finished_at": cron.get("finished_at"),
+            "duration_ms": _safe_int(cron.get("duration_ms")),
+            "run_status": cron.get("run_status") or "",
+            "result_status": cron.get("result_status") or "",
+            "summary": s,
+            "error_message": cron.get("error_message") or "",
+        })
+
+    screening_items = related["screening_rows"]
+    stage_counts = {
+        "observation": sum(1 for item in screening_items if item.get("layer") == "粗筛"),
+        "fine": sum(1 for item in screening_items if item.get("layer") == "细筛"),
+        "confirm_rejected": max(0, summary["confirm_processed"] - summary["confirm_hits"]),
+        "recommendation": len(recommendations),
+        "review_success": summary["perf_success"],
+        "review_failed": summary["perf_failed"],
+        "missed": summary["missed_count"],
+    }
+
+    return {
+        "summary": summary,
+        "timeline": timeline,
+        "stage_counts": stage_counts,
+        "screening_items": screening_items,
+        "recommendations": recommendations,
+        "reviews": related["review_rows"],
+        "missed_explosions": related["missed_rows"],
+    }
+
+
 __all__ = [
     "get_all_recommendations",
     "get_observation_candidates",
     "get_cron_run_logs",
     "get_cron_run_summary",
+    "get_pipeline_run_detail",
+    "get_pipeline_runs",
     "get_review_stats",
     "get_screening_history",
     "get_stats",

app/services/altcoin_confirm.py

@@ -1292,6 +1292,21 @@ def main(compact: bool = False):
                 mainline_item = get_recommendation_for_push(rec_id)
                 push_mainline_state_update(symbol, rec_id, mainline_item)
             else:
+                cand_detail = json.loads(cand.get("detail_json", "{}"))
+                log_screening(
+                    layer="确认", symbol=symbol, state=cand.get("state", "蓄力"), score=result.get("score", 0),
+                    price=result.get("price", 0), signals=result.get("signals", []),
+                    sector=cand_detail.get("sector", cand.get("sector", "")),
+                    leader_status=cand_detail.get("leader_status", cand.get("leader_status", "")),
+                    is_meme=int(is_meme_coin(symbol)),
+                    detail={
+                        "confirmed": False,
+                        "reason": "确认未通过",
+                        "entry_plan": result.get("entry_plan") or {},
+                        "fresh_reason": result.get("fresh_reason", ""),
+                        "trigger_context": result.get("trigger_context") or {},
+                    },
+                )
                 result["state_update"] = {"should_alert": False, "reason": "未确认爆发"}
 
             results.append({"symbol": symbol, **result})

app/services/altcoin_screener.py

@@ -882,6 +882,26 @@ def layer1_coarse_filter():
 
     total_bypass = bypass_count + hl_count_total + cs_count_total
     print(f"粗筛结果: {len(candidates)}个候选（含{total_bypass}个旁路: 静K{bypass_count}+底抬{hl_count_total}+压放{cs_count_total}）")
+    for symbol, cand in candidates.items():
+        log_screening(
+            layer="粗筛",
+            symbol=symbol,
+            state="候选",
+            score=cand.get("anomaly_score", 0),
+            price=cand.get("price", 0),
+            signals=cand.get("anomalies", []),
+            is_meme=int(cand.get("is_meme") or 0),
+            change_24h=cand.get("change_24h", 0),
+            funding_rate=cand.get("funding_rate", 0),
+            detail={
+                "candidate_stage": "coarse_candidate",
+                "volume_24h": cand.get("volume_24h", 0),
+                "turnover_acceleration_1h": cand.get("turnover_acceleration_1h", 0),
+                "turnover_acceleration_4h": cand.get("turnover_acceleration_4h", 0),
+                "signal_recency": _build_signal_recency(cand),
+                "bypass_origin": cand.get("bypass_origin", ""),
+            },
+        )
     return candidates
 
 

app/services/price_tracker.py

@@ -41,6 +41,12 @@ from app.core.opportunity_lifecycle import apply_entry_quality_gate
 exchange = ccxt.binance({"enableRateLimit": True})
 REPO_ROOT = Path(__file__).resolve().parents[2]
 
+PROVISIONAL_BUY_SIGNAL_MARKERS = (
+    "可即刻入场",
+    "当前价接近回踩目标",
+    "回踩确认完毕",
+)
+
 
 def fetch_klines(symbol, timeframe, limit=200):
     try:
@@ -52,6 +58,49 @@ def fetch_klines(symbol, timeframe, limit=200):
         return None
 
 
+def _format_tracking_price(price):
+    try:
+        price = float(price)
+    except Exception:
+        return ""
+    if price <= 0:
+        return ""
+    if price >= 1:
+        return f"${price:.3f}"
+    if price >= 0.01:
+        return f"${price:.4f}"
+    if price >= 0.0001:
+        return f"${price:.6f}"
+    return f"${price:.8f}"
+
+
+def reconcile_buy_signals_after_gate(buy_signals, final_action, gated_plan, gate_reasons):
+    """买点质量闸门降级后，移除临时买入文案，保留最终终端指引。"""
+    if final_action == "可即刻买入" or not gate_reasons:
+        return list(buy_signals or [])
+
+    filtered = [
+        str(signal)
+        for signal in (buy_signals or [])
+        if not any(marker in str(signal) for marker in PROVISIONAL_BUY_SIGNAL_MARKERS)
+    ]
+    first_reason = str(gate_reasons[0])
+    if final_action == "等回踩":
+        target_price = (
+            (gated_plan or {}).get("rr_target_entry")
+            or (gated_plan or {}).get("entry_price")
+            or (gated_plan or {}).get("wait_price")
+        )
+        price_text = _format_tracking_price(target_price)
+        if price_text:
+            filtered.append(f"🟡 现价不买，等待回踩至{price_text}附近；{first_reason}")
+        else:
+            filtered.append(f"🟡 现价不买，继续等待回踩；{first_reason}")
+    elif final_action == "观察":
+        filtered.append(f"🟡 买点未达标，保持观察；{first_reason}")
+    return filtered
+
+
 def analyze_tracking_signals(symbol, rec, current_price):
     """
     对active推荐做动态跟踪分析
@@ -264,6 +313,12 @@ def analyze_tracking_signals(symbol, rec, current_price):
         sector_context=rec.get("sector_context") or {},
     )
     if gate_reasons:
+        buy_signals = reconcile_buy_signals_after_gate(
+            buy_signals,
+            action_status,
+            gated_plan,
+            gate_reasons,
+        )
         buy_signals.append("⚠️ 买点质量闸门: " + "；".join(gate_reasons[:3]))
         entry_plan.update(gated_plan)
 

app/web/routes_pages.py

@@ -41,6 +41,13 @@ def build_router(templates, repo_root: Path, stock_report_template: str):
             return redirect
         return render_page("watchlist.html", request)
 
+    @router.get("/pipeline", response_class=HTMLResponse)
+    async def pipeline_page(request: Request):
+        user, redirect = require_page_user(request)
+        if redirect:
+            return redirect
+        return render_page("pipeline.html", request)
+
     @router.get("/strategy", response_class=HTMLResponse)
     async def strategy_page(request: Request):
         user, redirect = require_page_user(request)

app/web/routes_recommendations.py

@@ -6,6 +6,8 @@ from app.db.analytics import (
     get_cron_run_logs,
     get_cron_run_summary,
     get_observation_candidates,
+    get_pipeline_run_detail,
+    get_pipeline_runs,
     get_review_stats,
     get_screening_history,
     get_stats,
@@ -149,3 +151,18 @@ async def api_cron(limit: int = 50, job_name: str = "", altcoin_session: str = C
 async def api_cron_summary(hours: int = 24, altcoin_session: str = Cookie(default="")):
     require_api_user_with_subscription(altcoin_session)
     return get_cron_run_summary(hours=hours)
+
+
+@router.get("/api/pipeline/runs")
+async def api_pipeline_runs(limit: int = 30, hours: int = 24, altcoin_session: str = Cookie(default="")):
+    require_api_user_with_subscription(altcoin_session)
+    return get_pipeline_runs(limit=limit, hours=hours)
+
+
+@router.get("/api/pipeline/runs/{run_id}")
+async def api_pipeline_run_detail(run_id: int, altcoin_session: str = Cookie(default="")):
+    require_api_user_with_subscription(altcoin_session)
+    detail = get_pipeline_run_detail(run_id)
+    if not detail:
+        return {"error": "pipeline run not found", "run_id": run_id}
+    return detail

docker-compose.yml

@@ -35,9 +35,9 @@ services:
     env_file:
       - .env
     environment:
-      # 默认 dry-run，确保第一次 docker compose up 不会直接写库/推送。
+      # 本地 Docker 副本需要真实跑链路，方便验证筛选/确认/跟踪/复盘结果。
-      # 验证无误后改成 0。
+      # 调度器仍然单进程串行执行，避免 SQLite 写锁。
-      ALPHAX_SCHEDULER_DRY_RUN: "1"
+      ALPHAX_SCHEDULER_DRY_RUN: "0"
       ALPHAX_DB_PATH: "/app/data/altcoin_monitor.db"
     command: ["scheduler"]
     volumes:

rules.yaml

@@ -405,11 +405,11 @@ event_driven:
         note: Solana meme主题扩散
 meta:
   version: 1
-  last_review: '2026-05-14T01:10:42.599449'
+  last_review: '2026-05-14T09:19:05.923167'
-  last_reverse_analysis: '2026-05-14T01:11:19.360232'
+  last_reverse_analysis: '2026-05-14T09:19:39.019005'
-  total_reviews: 20
+  total_reviews: 26
   total_rules_learned: 37
-  iteration_count: 25
+  iteration_count: 31
   strategy_version: v1.7.11
   strategy_revision_started_at: '2026-05-09T01:20:00'
   strategy_revision_note: 'v1.7.11: 触发时效治理，旧形态只作背景，消息触发显式标记'

static/admin.html

@@ -3,12 +3,13 @@
 
 {% block nav_links %}
 <a class="sidebar-link" href="/app"><svg class="link-icon"><use href="#svg-dashboard"/></svg>看板</a>
-<a class="sidebar-link" href="/watchlist"><svg class="link-icon"><use href="#svg-star"/></svg>关注</a>
-<a class="sidebar-link" href="/strategy"><svg class="link-icon"><use href="#svg-target"/></svg>策略</a>
-<a class="sidebar-link" href="/iteration"><svg class="link-icon"><use href="#svg-iterate"/></svg>迭代</a>
 <a class="sidebar-link" href="/sentiment"><svg class="link-icon"><use href="#svg-sentiment"/></svg>舆情</a>
 <a class="sidebar-link" href="/subscription"><svg class="link-icon"><use href="#svg-subscribe"/></svg>订阅</a>
 <a class="sidebar-link" href="/referral"><svg class="link-icon"><use href="#svg-referral"/></svg>推荐</a>
+<div class="sidebar-section-label admin-link" style="display:none">研发</div>
+<a class="sidebar-link admin-link" href="/pipeline" style="display:none"><svg class="link-icon"><use href="#svg-pipeline"/></svg>链路日志</a>
+<a class="sidebar-link admin-link" href="/strategy" style="display:none"><svg class="link-icon"><use href="#svg-target"/></svg>策略</a>
+<a class="sidebar-link admin-link" href="/iteration" style="display:none"><svg class="link-icon"><use href="#svg-iterate"/></svg>迭代</a>
 <a class="sidebar-link active admin-link" href="/admin.html" style="display:none"><svg class="link-icon"><use href="#svg-admin"/></svg>管理</a>
 {% endblock %}
 

static/app.html

@@ -139,6 +139,21 @@
 .h-pnl-row { display: flex; align-items: center; gap: 8px; padding: 4px 18px 8px; }
 .h-arrow { color: var(--stone); font-size: 12px; }
 .h-duration { font-size: 11px; margin-left: auto; }
+.decision-strip { display: grid; grid-template-columns: minmax(92px, auto) minmax(0, 1fr); align-items: center; gap: 10px; margin: 0 18px 10px; padding: 9px 10px; min-height: 48px; border: 1px solid var(--hairline-soft); border-radius: var(--radius-lg); background: var(--surface); min-width: 0; }
+.decision-head { display: flex; flex-direction: column; gap: 3px; min-width: 0; }
+.decision-label { color: var(--stone); font-size: 10px; font-weight: 900; line-height: 1.1; white-space: nowrap; }
+.decision-title { font-size: 13px; font-weight: 900; line-height: 1.2; white-space: nowrap; }
+.decision-body { min-width: 0; display: flex; flex-direction: column; gap: 3px; }
+.decision-focus { color: var(--ink); font-size: 13px; font-weight: 900; line-height: 1.2; font-family: ui-monospace, SFMono-Regular, Menlo, monospace; white-space: nowrap; overflow: hidden; text-overflow: ellipsis; }
+.decision-reason { color: var(--stone); font-size: 11px; font-weight: 700; line-height: 1.25; min-width: 0; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; }
+.decision-strip.buy { background: var(--green-light); border-color: rgba(0,180,115,.18); }
+.decision-strip.buy .decision-title { color: var(--green); }
+.decision-strip.wait { background: var(--yellow-light); border-color: rgba(252,185,0,.24); }
+.decision-strip.wait .decision-title { color: var(--yellow-dark); }
+.decision-strip.observe,
+.decision-strip.weak { background: rgba(66,98,255,.04); border-color: rgba(66,98,255,.12); }
+.decision-strip.observe .decision-title { color: var(--blue); }
+.decision-strip.weak .decision-title { color: var(--muted); }
 
 /* ===== K-LINE ===== */
 .kline-wrap { padding: 0 8px 4px; }
@@ -156,38 +171,9 @@
 .ep-val { font-weight: 900; font-family: ui-monospace, SFMono-Regular, Menlo, monospace; font-size: 13px; line-height: 1.25; white-space: nowrap; overflow: hidden; text-overflow: ellipsis; }
 .ep-val.entry-ref { color: var(--yellow-dark); } .ep-val.risk-line { color: var(--red); } .ep-val.space-ref { color: var(--blue); } .ep-val.phase-ref { color: var(--green); }
 .ep-sub { color: var(--muted); font-size: 10px; font-weight: 600; line-height: 1.2; white-space: nowrap; overflow: hidden; text-overflow: ellipsis; }
-.trigger-cause { margin: 0 18px 8px; padding: 8px 10px; border: 1px solid rgba(66,98,255,.12); border-radius: var(--radius-lg); background: rgba(66,98,255,.04); display: flex; align-items: center; gap: 8px; min-width: 0; }
-.trigger-cause .tc-label { flex-shrink: 0; color: var(--blue); font-size: 10px; font-weight: 900; line-height: 1.2; }
-.trigger-cause .tc-value { color: var(--slate); font-size: 12px; font-weight: 700; line-height: 1.35; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; }
-.signal-context { display: flex; flex-direction: column; gap: 6px; padding: 0 18px 8px; }
-.signal-context .trigger-cause,
-.signal-context .trigger-meta { margin: 0; }
-.trigger-meta { padding: 8px 10px; border-radius: var(--radius-lg); border: 1px solid var(--hairline-soft); background: var(--surface); font-size: 12px; color: var(--stone); display: flex; flex-direction: column; gap: 3px; min-width: 0; }
-.trigger-meta span { font-size: 10px; font-weight: 900; color: var(--stone); line-height: 1.2; }
-.trigger-meta small { font-size: 11px; color: var(--stone); line-height: 1.35; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; }
-.trigger-meta.current { border-color: rgba(0,180,115,.18); background: rgba(0,180,115,.045); }
-.trigger-meta.current span { color: var(--green); }
-.trigger-meta.event { border-color: rgba(66,98,255,.16); background: rgba(66,98,255,.04); }
-.trigger-meta.event span { color: var(--blue); }
-.trigger-meta.stale { border-color: var(--hairline-soft); background: var(--surface); }
-.trigger-meta.stale span { color: var(--muted); }
-.trust-row { display: grid; grid-template-columns: 1fr 1fr; gap: 8px; padding: 0 18px 10px; }
-.trust-pill { border: 1px solid var(--hairline-soft); border-radius: var(--radius-lg); background: var(--surface); padding: 8px 10px; min-width: 0; }
-.trust-pill .trust-label { display: block; font-size: 10px; color: var(--stone); font-weight: 700; text-transform: uppercase; margin-bottom: 3px; }
-.trust-pill .trust-value { display: block; font-size: 13px; color: var(--ink); font-weight: 800; line-height: 1.25; }
-.trust-pill .trust-sub { display: block; font-size: 10px; color: var(--stone); margin-top: 2px; white-space: nowrap; overflow: hidden; text-overflow: ellipsis; }
-.trust-pill.window-active { background: var(--green-light); border-color: rgba(0,180,115,.18); }
-.trust-pill.window-active .trust-value { color: var(--green); }
-.trust-pill.window-warn { background: var(--yellow-light); border-color: rgba(252,185,0,.24); }
-.trust-pill.window-warn .trust-value { color: var(--yellow-dark); }
-.trust-pill.window-danger { background: var(--red-light); border-color: rgba(229,62,62,.20); }
-.trust-pill.window-danger .trust-value { color: var(--red); }
-.trust-pill.risk { background: rgba(66,98,255,.06); border-color: rgba(66,98,255,.12); }
-.trust-pill.risk .trust-value { color: var(--blue); }
-
 /* ===== SIGNALS ===== */
-.signals-row { display: flex; flex-wrap: wrap; gap: 4px; padding: 0 18px 8px; }
+.signals-row { display: flex; flex-wrap: nowrap; gap: 4px; padding: 0 18px 8px; min-height: 25px; overflow: hidden; }
-.sig { font-size: 11px; padding: 3px 8px; border-radius: var(--radius-full); font-weight: 700; white-space: nowrap; line-height: 1.3; }
+.sig { font-size: 11px; padding: 3px 8px; border-radius: var(--radius-full); font-weight: 700; white-space: nowrap; line-height: 1.3; overflow: hidden; text-overflow: ellipsis; max-width: 50%; flex: 0 1 auto; }
 .sig.strong { color: #600000; background: #ffc6c6; }
 .sig.forward { color: var(--green); background: var(--green-light); }
 .sig.pa { color: var(--blue); background: rgba(66,98,255,.06); }
@@ -241,12 +227,7 @@
   .stats-strip { align-items: stretch; }
   .stats-main { width: 100%; }
   .entry-plan { grid-template-columns: repeat(2, minmax(0, 1fr)); padding: 8px 14px; }
-  .trigger-cause { margin: 0 14px 8px; align-items: flex-start; }
+  .decision-strip { margin: 0 14px 8px; grid-template-columns: 86px minmax(0,1fr); }
-  .trigger-cause .tc-value { white-space: normal; display: -webkit-box; -webkit-line-clamp: 2; -webkit-box-orient: vertical; }
-  .signal-context { padding: 0 14px 8px; }
-  .signal-context .trigger-cause { margin: 0; }
-  .trigger-meta small { white-space: normal; display: -webkit-box; -webkit-line-clamp: 2; -webkit-box-orient: vertical; }
-  .trust-row { grid-template-columns: 1fr; padding: 0 14px 8px; }
 }
 
 @media(max-width:360px) {
@@ -648,7 +629,8 @@ function renderRecCard(r) {
   function opportunityPhase(r, triggerText, sigText) {
     var text = cleanDisplayText([r.execution_label, r.execution_reason, triggerText, sigText].join(' '));
     if (r.execution_status === 'buy_now') return {label:'入场窗口', cls:'buy', short:'窗口'};
-    if (/回踩|pullback/i.test(text)) return {label:'等回踩', cls:'wait', short:'回踩'};
+    if (r.execution_status === 'wait_pullback' || r.lifecycle_state === 'waiting_entry') return {label:'等回踩', cls:'wait', short:'回踩'};
+    if (r.execution_status === 'observe' || r.display_bucket === 'watch_pool') return (r.observe_tier === 'weak') ? {label:'弱观察', cls:'weak', short:'弱观察'} : {label:'观察中', cls:'obs', short:'观察'};
     if (/突破|breakout|上破|放量突破|突破确认/i.test(text)) return {label:'等突破', cls:'wait', short:'突破'};
     if (/确认|静K|收线|站稳|量能|放量|confirm/i.test(text)) return {label:'等确认', cls:'obs', short:'确认'};
     return (r.observe_tier === 'weak') ? {label:'弱观察', cls:'weak', short:'弱观察'} : {label:'观察中', cls:'obs', short:'观察'};
@@ -700,14 +682,22 @@ function renderRecCard(r) {
   function fmtP(p) { return fmtPrice(p, priceDecimals(price || p)); }
   var pnl = r.pnl_pct||0, pnlCls = pnl>0?'pos':pnl<0?'neg':'zero', pnlSign = pnl>0?'+':'';
   var priceFmt = fmtPrice(price);
-  var sigHtml = sigs.slice(0,3).map(function(s){
+  function displaySignalText(s) {
+    var text = cleanDisplayText(s);
+    if (!isBuy) {
+      text = text
+        .replace(/15min\s*入场窗口信号/g, '15min触发信号')
+        .replace(/入场窗口信号/g, '触发信号')
+        .replace(/入场窗口确认/g, '触发确认');
+    }
+    return text;
+  }
+  var sigHtml = sigs.slice(0,2).map(function(s){
     var cls = 'info'; if(/量价齐飞|起爆点|放量/.test(s)) cls='strong';
     else if(/静K|筑底|回踩|突破|蓄力|底部抬高|压缩/.test(s)) cls='forward';
     else if(/动K|PA|转折/.test(s)) cls='pa'; else if(/衰减|空头|风险|背离|闸门/.test(s)) cls='warn';
-    return '<span class="sig '+cls+'">'+cleanDisplayText(s)+'</span>';
+    return '<span class="sig '+cls+'">'+displaySignalText(s)+'</span>';
   }).join('');
-  var entryMethod = ep.entry_method || '';
-  var triggerCause = normalizeTriggerCause(entryMethod || (isBuy?'15min 触发 · 窗口有效':phase.label+' · 等待条件满足'));
   var score = r.rec_score||0, st = scoreTier(score), ver = r.strategy_version||'';
   var hasQualityGate = ep.entry_quality_gate && Array.isArray(ep.entry_quality_gate.reasons) && ep.entry_quality_gate.reasons.length;
   var entryLabel = isWait ? '回踩参考' : (hasQualityGate ? '失效参考' : '参考价位');
@@ -723,18 +713,21 @@ function renderRecCard(r) {
   var riskLine = ep.stop_loss || r.stop_loss || 0;
   var spaceRef = ep.tp1 || r.tp1 || 0;
   var upsidePct = entryRef && spaceRef ? ((spaceRef / entryRef - 1) * 100) : 0;
-  function trustWindowHtml() {
+  function entryWindowSummary() {
     var w = r.entry_window || {};
     if (!isBuy || !w.status) return '';
-    var cls = w.status === 'active' ? 'window-active' : (w.status === 'price_left_up' ? 'window-warn' : 'window-danger');
     var mins = Number(w.remaining_minutes || 0);
     var remain = mins >= 60 ? (Math.floor(mins/60)+'h'+Math.round(mins%60)+'m') : (Math.max(0, Math.round(mins))+'m');
     var dev = Number(w.deviation_pct || 0);
     var devText = (dev>0?'+':'') + dev.toFixed(2) + '%';
-    return '<div class="trust-pill '+cls+'"><span class="trust-label">窗口有效期</span><span class="trust-value">'+cleanDisplayText(w.label||'入场窗口')+'</span><span class="trust-sub">剩余 '+remain+' · 偏离 '+devText+'</span></div>';
+    return '剩余 '+remain+' · 偏离 '+devText;
   }
-  var trustHtml = trustWindowHtml();
   var weakNoteHtml = isWeakObserve ? '<div class="weak-note">'+cleanDisplayText(r.observe_reason || '信号强度不足，仅保留为低优先级观察，不构成实时机会。')+'</div>' : '';
+  var decisionCls = isBuy ? 'buy' : (isWait ? 'wait' : (isWeakObserve ? 'weak' : 'observe'));
+  var decisionTitle = cleanDisplayText(r.execution_label || phase.label);
+  var decisionFocus = isBuy ? ('现价 '+fmtP(price)) : (isWait ? ('等 '+fmtP(entryRef)) : (isWeakObserve ? '低优先级观察' : '等待确认'));
+  var decisionReason = cleanDisplayText(isBuy ? (entryWindowSummary() || '入场窗口有效') : (isWait ? '现价不追，等回踩价附近再评估' : (r.observe_reason || r.state_reason || '未形成入场窗口')));
+  var decisionHtml = '<div class="decision-strip '+decisionCls+'"><div class="decision-head"><span class="decision-label">最终建议</span><span class="decision-title">'+decisionTitle+'</span></div><div class="decision-body"><span class="decision-focus">'+decisionFocus+'</span><span class="decision-reason">'+decisionReason+'</span></div></div>';
   var entryPlanHtml = '';
   if (isTradePlan) {
     entryPlanHtml = '<div class="entry-plan">' +
@@ -751,26 +744,11 @@ function renderRecCard(r) {
         '<div class="ep-item"><span class="ep-label">绩效口径</span><span class="ep-val risk-line">不计入</span><span class="ep-sub">未成交易推荐</span></div>'+
       '</div>';
   }
-  var triggerCauseHtml = triggerCause ? '<div class="trigger-cause"><span class="tc-label">'+(hasQualityGate?'观察原因':'触发依据')+'</span><span class="tc-value">'+(hasQualityGate ? cleanDisplayText(r.observe_reason || triggerCause).slice(0,96) : triggerCause.slice(0,80))+'</span></div>' : '';
-  var triggerCtx = (r.market_context && r.market_context.trigger_context) || (r.sector_context && r.sector_context.trigger_context) || ep.trigger_context || {};
-  var curTriggers = Array.isArray(triggerCtx.current_triggers) ? triggerCtx.current_triggers : [];
-  var staleTriggers = Array.isArray(triggerCtx.stale_background) ? triggerCtx.stale_background : [];
-  var triggerBadgeHtml = '';
-  if (triggerCtx.trigger_status || curTriggers.length || staleTriggers.length) {
-    var tCls = /news/.test(triggerCtx.trigger_status || '') ? 'event' : (/stale/.test(triggerCtx.trigger_status || '') ? 'stale' : 'current');
-    var tLabel = triggerCtx.trigger_label || (curTriggers.length ? '当前触发' : '历史背景');
-    if (tCls === 'stale') tLabel = '历史背景';
-    var firstCur = curTriggers[0] || {};
-    var sub = firstCur.title || firstCur.label || (staleTriggers[0] && staleTriggers[0].label) || '';
-    triggerBadgeHtml = '<div class="trigger-meta '+tCls+'"><span>'+cleanDisplayText(tLabel).slice(0,32)+'</span>'+(sub?'<small>'+cleanDisplayText(sub).slice(0,72)+'</small>':'')+'</div>';
-  }
-  var contextHtml = (triggerCauseHtml || triggerBadgeHtml) ? '<div class="signal-context">'+triggerCauseHtml+triggerBadgeHtml+'</div>' : '';
   return '<div class="card '+(isWeakObserve?'weak-observe':'')+'"><div class="card-bar"><div class="coin-left"><div class="coin-icon">'+base.slice(0,2).toUpperCase()+'</div><div><span class="coin-symbol">'+base+'</span></div></div><div class="badge-group">'+actionBadge+'<span class="score-badge '+st.cls+'"><span class="score-num">'+score+'</span><span class="score-label">'+st.label+'</span></span></div></div>'+
     '<div class="price-bar"><span class="price">$'+priceFmt+'</span>'+changeHtml+'</div>'+
+    decisionHtml+
     '<div class="kline-wrap"><div class="kline-int-bar"><button class="kline-int-btn" data-int="15m" onclick="switchKlineInterval(this);event.stopPropagation()">15m</button><button class="kline-int-btn active" data-int="1h" onclick="switchKlineInterval(this);event.stopPropagation()">1H</button><button class="kline-int-btn" data-int="4h" onclick="switchKlineInterval(this);event.stopPropagation()">4H</button><button class="kline-int-btn" data-int="1d" onclick="switchKlineInterval(this);event.stopPropagation()">1D</button></div><div class="kline-container loading" data-symbol="'+r.symbol+'" data-entry-price="'+klineEntryPrice+'" data-stop-loss="'+klineStopLoss+'" data-tp1="'+klineTp1+'" data-rec-time="'+entryTime+'" data-tp1-time="'+tp1EventTime+'" data-sl-time="'+slEventTime+'" data-ref-price="'+price+'" data-action-status="'+(r.action_status||'')+'"><div class="chart-loading"><svg class="spin" width="16" height="16" color="#8e91a0"><use href="#svg-spinner"/></svg></div></div></div>'+
     (isWeakObserve ? weakNoteHtml : entryPlanHtml)+
-    (!isWeakObserve && trustHtml?'<div class="trust-row">'+trustHtml+'</div>':'')+
-    contextHtml+
     (sigHtml?'<div class="signals-row">'+sigHtml+'</div>':'')+
     '<div class="card-footer"><span>'+fmtTime(r.rec_time)+'</span><span class="card-ver">'+ver+'</span>'+(isTpOrSl?'<span class="pnl-block '+pnlCls+'">'+pnlSign+pnl.toFixed(1)+'%</span>':'')+'</div></div>';
 }

static/base.html

@@ -65,6 +65,7 @@ a { color: inherit; text-decoration: none; }
 .sidebar-link.active { color: var(--on-primary); background: var(--primary); font-weight: 600; }
 .sidebar-link .link-icon { width: 18px; height: 18px; flex-shrink: 0; opacity: .6; }
 .sidebar-link.active .link-icon { opacity: 1; }
+.sidebar-section-label { padding: 12px 14px 5px; color: var(--muted); font-size: 10px; font-weight: 900; letter-spacing: .08em; }
 
 .sidebar-user {
   padding: 14px 16px calc(14px + var(--safe-bottom)); border-top: 1px solid var(--hairline-soft);
@@ -151,6 +152,7 @@ a { color: inherit; text-decoration: none; }
   <symbol id="svg-shield" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><path d="M12 22s8-4 8-10V5l-8-3-8 3v7c0 6 8 10 8 10z"/></symbol>
   <symbol id="svg-spinner" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><circle cx="12" cy="12" r="10" stroke-dasharray="31.4 31.4" stroke-linecap="round"/></symbol>
   <symbol id="svg-dashboard" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><rect x="3" y="3" width="7" height="7" rx="1"/><rect x="14" y="3" width="7" height="7" rx="1"/><rect x="3" y="14" width="7" height="7" rx="1"/><rect x="14" y="14" width="7" height="7" rx="1"/></symbol>
+  <symbol id="svg-pipeline" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><circle cx="5" cy="6" r="2"/><circle cx="19" cy="6" r="2"/><circle cx="12" cy="18" r="2"/><path d="M7 6h10"/><path d="M6.5 7.7 11 16"/><path d="M17.5 7.7 13 16"/></symbol>
   <symbol id="svg-iterate" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><polyline points="1 4 1 10 7 10"/><polyline points="23 20 23 14 17 14"/><path d="M20.49 9A9 9 0 0 0 5.64 5.64L1 10m22 4l-4.64 4.36A9 9 0 0 1 3.51 15"/></symbol>
   <symbol id="svg-sentiment" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><path d="M14 9V5a3 3 0 0 0-3-3l-4 9v11h11.28a2 2 0 0 0 2-1.7l1.38-9a2 2 0 0 0-2-2.3H14z"/><path d="M7 22H4a2 2 0 0 1-2-2v-7a2 2 0 0 1 2-2h3"/></symbol>
   <symbol id="svg-subscribe" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><rect x="2" y="5" width="20" height="14" rx="2"/><line x1="2" y1="10" x2="22" y2="10"/></symbol>
@@ -169,12 +171,13 @@ a { color: inherit; text-decoration: none; }
   <nav class="sidebar-nav">
     {% block nav_links %}
       <a class="sidebar-link active" href="/app"><svg class="link-icon"><use href="#svg-dashboard"/></svg>看板</a>
-      <a class="sidebar-link" href="/watchlist"><svg class="link-icon"><use href="#svg-star"/></svg>关注</a>
-      <a class="sidebar-link" href="/strategy"><svg class="link-icon"><use href="#svg-target"/></svg>策略</a>
-      <a class="sidebar-link" href="/iteration"><svg class="link-icon"><use href="#svg-iterate"/></svg>迭代</a>
       <a class="sidebar-link" href="/sentiment"><svg class="link-icon"><use href="#svg-sentiment"/></svg>舆情</a>
       <a class="sidebar-link" href="/subscription"><svg class="link-icon"><use href="#svg-subscribe"/></svg>订阅</a>
       <a class="sidebar-link" href="/referral"><svg class="link-icon"><use href="#svg-referral"/></svg>推荐</a>
+      <div class="sidebar-section-label admin-link" style="display:none">研发</div>
+      <a class="sidebar-link admin-link" href="/pipeline" style="display:none"><svg class="link-icon"><use href="#svg-pipeline"/></svg>链路日志</a>
+      <a class="sidebar-link admin-link" href="/strategy" style="display:none"><svg class="link-icon"><use href="#svg-target"/></svg>策略</a>
+      <a class="sidebar-link admin-link" href="/iteration" style="display:none"><svg class="link-icon"><use href="#svg-iterate"/></svg>迭代</a>
       <a class="sidebar-link admin-link" href="/admin.html" style="display:none"><svg class="link-icon"><use href="#svg-admin"/></svg>管理</a>
     {% endblock %}
   </nav>

static/iteration.html

@@ -2,12 +2,13 @@
 {% block title %}AlphaX — 策略进化{% endblock %}
 {% block nav_links %}
 <a class="sidebar-link" href="/app"><svg class="link-icon"><use href="#svg-dashboard"/></svg>看板</a>
-<a class="sidebar-link" href="/watchlist"><svg class="link-icon"><use href="#svg-star"/></svg>关注</a>
-<a class="sidebar-link" href="/strategy"><svg class="link-icon"><use href="#svg-target"/></svg>策略</a>
-<a class="sidebar-link active" href="/iteration"><svg class="link-icon"><use href="#svg-iterate"/></svg>迭代</a>
 <a class="sidebar-link" href="/sentiment"><svg class="link-icon"><use href="#svg-sentiment"/></svg>舆情</a>
 <a class="sidebar-link" href="/subscription"><svg class="link-icon"><use href="#svg-subscribe"/></svg>订阅</a>
 <a class="sidebar-link" href="/referral"><svg class="link-icon"><use href="#svg-referral"/></svg>推荐</a>
+<div class="sidebar-section-label admin-link" style="display:none">研发</div>
+<a class="sidebar-link admin-link" href="/pipeline" style="display:none"><svg class="link-icon"><use href="#svg-pipeline"/></svg>链路日志</a>
+<a class="sidebar-link admin-link" href="/strategy" style="display:none"><svg class="link-icon"><use href="#svg-target"/></svg>策略</a>
+<a class="sidebar-link active admin-link" href="/iteration" style="display:none"><svg class="link-icon"><use href="#svg-iterate"/></svg>迭代</a>
 <a class="sidebar-link admin-link" href="/admin.html" style="display:none"><svg class="link-icon"><use href="#svg-admin"/></svg>管理</a>
 {% endblock %}
 

static/referral.html

@@ -3,12 +3,13 @@
 
 {% block nav_links %}
 <a class="sidebar-link" href="/app"><svg class="link-icon"><use href="#svg-dashboard"/></svg>看板</a>
-<a class="sidebar-link" href="/watchlist"><svg class="link-icon"><use href="#svg-star"/></svg>关注</a>
-<a class="sidebar-link" href="/strategy"><svg class="link-icon"><use href="#svg-target"/></svg>策略</a>
-<a class="sidebar-link" href="/iteration"><svg class="link-icon"><use href="#svg-iterate"/></svg>迭代</a>
 <a class="sidebar-link" href="/sentiment"><svg class="link-icon"><use href="#svg-sentiment"/></svg>舆情</a>
 <a class="sidebar-link" href="/subscription"><svg class="link-icon"><use href="#svg-subscribe"/></svg>订阅</a>
 <a class="sidebar-link active" href="/referral"><svg class="link-icon"><use href="#svg-referral"/></svg>推荐</a>
+<div class="sidebar-section-label admin-link" style="display:none">研发</div>
+<a class="sidebar-link admin-link" href="/pipeline" style="display:none"><svg class="link-icon"><use href="#svg-pipeline"/></svg>链路日志</a>
+<a class="sidebar-link admin-link" href="/strategy" style="display:none"><svg class="link-icon"><use href="#svg-target"/></svg>策略</a>
+<a class="sidebar-link admin-link" href="/iteration" style="display:none"><svg class="link-icon"><use href="#svg-iterate"/></svg>迭代</a>
 <a class="sidebar-link admin-link" href="/admin.html" style="display:none"><svg class="link-icon"><use href="#svg-admin"/></svg>管理</a>
 {% endblock %}
 

static/sentiment.html

@@ -2,12 +2,13 @@
 {% block title %}AlphaX — 舆情雷达{% endblock %}
 {% block nav_links %}
 <a class="sidebar-link" href="/app"><svg class="link-icon"><use href="#svg-dashboard"/></svg>看板</a>
-<a class="sidebar-link" href="/watchlist"><svg class="link-icon"><use href="#svg-star"/></svg>关注</a>
-<a class="sidebar-link" href="/strategy"><svg class="link-icon"><use href="#svg-target"/></svg>策略</a>
-<a class="sidebar-link" href="/iteration"><svg class="link-icon"><use href="#svg-iterate"/></svg>迭代</a>
 <a class="sidebar-link active" href="/sentiment"><svg class="link-icon"><use href="#svg-sentiment"/></svg>舆情</a>
 <a class="sidebar-link" href="/subscription"><svg class="link-icon"><use href="#svg-subscribe"/></svg>订阅</a>
 <a class="sidebar-link" href="/referral"><svg class="link-icon"><use href="#svg-referral"/></svg>推荐</a>
+<div class="sidebar-section-label admin-link" style="display:none">研发</div>
+<a class="sidebar-link admin-link" href="/pipeline" style="display:none"><svg class="link-icon"><use href="#svg-pipeline"/></svg>链路日志</a>
+<a class="sidebar-link admin-link" href="/strategy" style="display:none"><svg class="link-icon"><use href="#svg-target"/></svg>策略</a>
+<a class="sidebar-link admin-link" href="/iteration" style="display:none"><svg class="link-icon"><use href="#svg-iterate"/></svg>迭代</a>
 <a class="sidebar-link admin-link" href="/admin.html" style="display:none"><svg class="link-icon"><use href="#svg-admin"/></svg>管理</a>
 {% endblock %}
 {% block extra_head_css %}
@@ -283,4 +284,4 @@ loadFeed();
 // Auto-refresh every 5 minutes
 setInterval(loadFeed, 300000);
 </script>
-{% endblock %}
+{% endblock %}

static/strategy.html

@@ -2,12 +2,13 @@
 {% block title %}策略 — AlphaX{% endblock %}
 {% block nav_links %}
 <a class="sidebar-link" href="/app"><svg class="link-icon"><use href="#svg-dashboard"/></svg>看板</a>
-<a class="sidebar-link" href="/watchlist"><svg class="link-icon"><use href="#svg-star"/></svg>关注</a>
-<a class="sidebar-link active" href="/strategy"><svg class="link-icon"><use href="#svg-target"/></svg>策略</a>
-<a class="sidebar-link" href="/iteration"><svg class="link-icon"><use href="#svg-iterate"/></svg>迭代</a>
 <a class="sidebar-link" href="/sentiment"><svg class="link-icon"><use href="#svg-sentiment"/></svg>舆情</a>
 <a class="sidebar-link" href="/subscription"><svg class="link-icon"><use href="#svg-subscribe"/></svg>订阅</a>
 <a class="sidebar-link" href="/referral"><svg class="link-icon"><use href="#svg-referral"/></svg>推荐</a>
+<div class="sidebar-section-label admin-link" style="display:none">研发</div>
+<a class="sidebar-link admin-link" href="/pipeline" style="display:none"><svg class="link-icon"><use href="#svg-pipeline"/></svg>链路日志</a>
+<a class="sidebar-link active admin-link" href="/strategy" style="display:none"><svg class="link-icon"><use href="#svg-target"/></svg>策略</a>
+<a class="sidebar-link admin-link" href="/iteration" style="display:none"><svg class="link-icon"><use href="#svg-iterate"/></svg>迭代</a>
 <a class="sidebar-link admin-link" href="/admin.html" style="display:none"><svg class="link-icon"><use href="#svg-admin"/></svg>管理</a>
 {% endblock %}
 {% block extra_head_css %}

static/subscription.html

@@ -2,12 +2,13 @@
 {% block title %}订阅中心 — AlphaX{% endblock %}
 {% block nav_links %}
 <a class="sidebar-link" href="/app"><svg class="link-icon"><use href="#svg-dashboard"/></svg>看板</a>
-<a class="sidebar-link" href="/watchlist"><svg class="link-icon"><use href="#svg-star"/></svg>关注</a>
-<a class="sidebar-link" href="/strategy"><svg class="link-icon"><use href="#svg-target"/></svg>策略</a>
-<a class="sidebar-link" href="/iteration"><svg class="link-icon"><use href="#svg-iterate"/></svg>迭代</a>
 <a class="sidebar-link" href="/sentiment"><svg class="link-icon"><use href="#svg-sentiment"/></svg>舆情</a>
 <a class="sidebar-link active" href="/subscription"><svg class="link-icon"><use href="#svg-subscribe"/></svg>订阅</a>
 <a class="sidebar-link" href="/referral"><svg class="link-icon"><use href="#svg-referral"/></svg>推荐</a>
+<div class="sidebar-section-label admin-link" style="display:none">研发</div>
+<a class="sidebar-link admin-link" href="/pipeline" style="display:none"><svg class="link-icon"><use href="#svg-pipeline"/></svg>链路日志</a>
+<a class="sidebar-link admin-link" href="/strategy" style="display:none"><svg class="link-icon"><use href="#svg-target"/></svg>策略</a>
+<a class="sidebar-link admin-link" href="/iteration" style="display:none"><svg class="link-icon"><use href="#svg-iterate"/></svg>迭代</a>
 <a class="sidebar-link admin-link" href="/admin.html" style="display:none"><svg class="link-icon"><use href="#svg-admin"/></svg>管理</a>
 {% endblock %}
 {% block extra_head_css %}
@@ -253,4 +254,4 @@ async function claimFreeTrial() {
 loadUser();
 loadMe();
 </script>
-{% endblock %}
+{% endblock %}

static/watchlist.html

@@ -2,12 +2,13 @@
 {% block title %}关注 — AlphaX{% endblock %}
 {% block nav_links %}
 <a class="sidebar-link" href="/app"><svg class="link-icon"><use href="#svg-dashboard"/></svg>看板</a>
-<a class="sidebar-link active" href="/watchlist"><svg class="link-icon"><use href="#svg-star"/></svg>关注</a>
-<a class="sidebar-link" href="/strategy"><svg class="link-icon"><use href="#svg-target"/></svg>策略</a>
-<a class="sidebar-link" href="/iteration"><svg class="link-icon"><use href="#svg-iterate"/></svg>迭代</a>
 <a class="sidebar-link" href="/sentiment"><svg class="link-icon"><use href="#svg-sentiment"/></svg>舆情</a>
 <a class="sidebar-link" href="/subscription"><svg class="link-icon"><use href="#svg-subscribe"/></svg>订阅</a>
 <a class="sidebar-link" href="/referral"><svg class="link-icon"><use href="#svg-referral"/></svg>推荐</a>
+<div class="sidebar-section-label admin-link" style="display:none">研发</div>
+<a class="sidebar-link admin-link" href="/pipeline" style="display:none"><svg class="link-icon"><use href="#svg-pipeline"/></svg>链路日志</a>
+<a class="sidebar-link admin-link" href="/strategy" style="display:none"><svg class="link-icon"><use href="#svg-target"/></svg>策略</a>
+<a class="sidebar-link admin-link" href="/iteration" style="display:none"><svg class="link-icon"><use href="#svg-iterate"/></svg>迭代</a>
 <a class="sidebar-link admin-link" href="/admin.html" style="display:none"><svg class="link-icon"><use href="#svg-admin"/></svg>管理</a>
 {% endblock %}
 {% block extra_head_css %}

tests/test_opportunity_lifecycle.py

@@ -5,6 +5,7 @@ import sys
 sys.path.insert(0, os.path.dirname(os.path.dirname(__file__)))
 
 from app.core.opportunity_lifecycle import apply_entry_quality_gate
+from app.services.price_tracker import reconcile_buy_signals_after_gate
 from legacy import price_tracker_ws
 
 
@@ -28,6 +29,46 @@ def test_risk_reward_false_blocks_buy_now():
     assert any('risk_reward_ok=false' in r for r in reasons)
 
 
+def test_buy_now_with_bad_rr_sets_real_pullback_price():
+    action, plan, reasons = apply_entry_quality_gate(
+        action_status='可即刻买入',
+        entry_plan={
+            'entry_action': '即刻买入',
+            'entry_price': 0.11455,
+            'current_price': 0.11455,
+            'stop_loss': 0.107457,
+            'tp1': 0.120089,
+            'risk_reward_ok': False,
+            'rr1': 0.83,
+        },
+        signals=['🟢 15min即刻入场信号', '日线 站稳突破位+19.2%'],
+        current_price=0.11455,
+        market_context={'change_24h': 3.1},
+    )
+
+    assert action == '等回踩'
+    assert plan['entry_price'] < 0.11455
+    assert round(plan['entry_price'], 6) == 0.113199
+    assert plan['rr_target_entry'] == plan['entry_price']
+    assert any('现价不买' in r for r in reasons)
+
+
+def test_tracker_gate_downgrade_removes_provisional_buy_signal():
+    signals = reconcile_buy_signals_after_gate(
+        [
+            '🟢 回踩确认完毕！可即刻入场(15min动K确认)',
+            '其他背景信号',
+        ],
+        '等回踩',
+        {'rr_target_entry': 0.11322245, 'entry_price': 0.11322245},
+        ['rr1=0.82 < 1.2，禁止现价买入', '现价不买，等回落到0.11322245附近再评估'],
+    )
+
+    assert all('可即刻入场' not in signal for signal in signals)
+    assert all('回踩确认完毕' not in signal for signal in signals)
+    assert any('现价不买' in signal and '$0.1132' in signal for signal in signals)
+
+
 def test_breakout_distance_over_60_forces_observe():
     action, plan, reasons = apply_entry_quality_gate(
         action_status='可即刻买入',

tests/test_pipeline_runs_api.py

@@ -0,0 +1,276 @@
+import os
+import sqlite3
+import sys
+from datetime import datetime, timedelta
+
+import pytest
+from fastapi.testclient import TestClient
+
+PROJECT_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
+if PROJECT_DIR not in sys.path:
+    sys.path.insert(0, PROJECT_DIR)
+
+from app.db import altcoin_db
+from app.db.analytics import get_pipeline_run_detail, get_pipeline_runs
+from app.web import web_server
+
+
+@pytest.fixture
+def temp_db(monkeypatch, tmp_path):
+    db_path = tmp_path / "altcoin_monitor.db"
+    monkeypatch.setattr(altcoin_db, "DB_PATH", str(db_path))
+    monkeypatch.setattr(web_server, "init_db", altcoin_db.init_db)
+    altcoin_db.init_db()
+    return db_path
+
+
+def _insert_screening(db_path, scan_time, layer, symbol, state="蓄力", score=6):
+    conn = sqlite3.connect(db_path)
+    conn.execute(
+        """
+        INSERT INTO screening_log (
+            scan_time, layer, symbol, state, score, price, signals,
+            sector, leader_status, is_meme, change_24h, funding_rate, detail_json
+        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+        """,
+        (
+            scan_time,
+            layer,
+            symbol,
+            state,
+            score,
+            1.23,
+            '["vp_fly_1h_current"]',
+            "AI",
+            "leader",
+            0,
+            8.8,
+            0.01,
+            '{"reason":"volume current"}',
+        ),
+    )
+    conn.commit()
+    conn.close()
+
+
+def _insert_coin_state(db_path, symbol, state, score, detected_at):
+    conn = sqlite3.connect(db_path)
+    conn.execute(
+        """
+        INSERT INTO coin_state (
+            symbol, state, score, anomaly_type, sector, leader_status,
+            detected_at, last_alert_time, last_alert_level, detail_json
+        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+        """,
+        (symbol, state, score, "", "", "", detected_at, detected_at, "low", "{}"),
+    )
+    conn.commit()
+    conn.close()
+
+
+def _insert_recommendation(db_path, rec_time, symbol="AAA/USDT", status="hit_tp1"):
+    conn = sqlite3.connect(db_path)
+    cur = conn.execute(
+        """
+        INSERT INTO recommendation (
+            symbol, rec_time, rec_state, rec_score, entry_price, stop_loss, tp1, tp2,
+            sector, signals, status, current_price, max_price, min_price, pnl_pct,
+            max_pnl_pct, max_drawdown_pct, entry_plan_json, action_status,
+            execution_status, display_bucket, lifecycle_state, entry_triggered,
+            signal_codes_json, signal_labels_json
+        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+        """,
+        (
+            symbol,
+            rec_time,
+            "爆发",
+            82,
+            1.0,
+            0.94,
+            1.08,
+            1.16,
+            "AI",
+            '["1H当前放量"]',
+            status,
+            1.1,
+            1.12,
+            0.98,
+            10,
+            12,
+            -2,
+            '{"entry_action":"可即刻买入"}',
+            "可即刻买入",
+            "buy_now",
+            "actionable",
+            "actionable",
+            1,
+            '["vp_fly_1h_current"]',
+            '["1H当前放量"]',
+        ),
+    )
+    conn.commit()
+    conn.close()
+    return cur.lastrowid
+
+
+def _insert_review(db_path, rec_id, review_time, outcome="爆发"):
+    conn = sqlite3.connect(db_path)
+    conn.execute(
+        """
+        INSERT INTO review_log (
+            rec_id, symbol, review_time, outcome, pnl_48h, max_pnl_48h,
+            triggered_signals, hit_signals, miss_signals, lesson
+        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+        """,
+        (
+            rec_id,
+            "AAA/USDT",
+            review_time,
+            outcome,
+            6.5,
+            12.0,
+            '["vp_fly_1h_current"]',
+            '["vp_fly_1h_current"]',
+            "[]",
+            "当前放量有效",
+        ),
+    )
+    conn.commit()
+    conn.close()
+
+
+def _insert_missed(db_path, detect_time):
+    conn = sqlite3.connect(db_path)
+    conn.execute(
+        """
+        INSERT INTO missed_explosions (
+            symbol, detect_time, price_at_detect, price_before,
+            gain_pct, reason_missed, features_detected, lesson
+        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?)
+        """,
+        ("MISS/USDT", detect_time, 2.4, 1.9, 26.3, "确认没过", '{"volume":"high"}', "提高确认层覆盖"),
+    )
+    conn.commit()
+    conn.close()
+
+
+def test_pipeline_runs_aggregates_funnel_and_performance(temp_db):
+    base = datetime.now() - timedelta(minutes=40)
+    started = base.isoformat(timespec="seconds")
+    finished = (base + timedelta(seconds=20)).isoformat(timespec="seconds")
+
+    altcoin_db.log_cron_run(
+        "事件舆情",
+        "event_driven_screener.py",
+        "success",
+        "processed",
+        started_at=(base - timedelta(minutes=3)).isoformat(timespec="seconds"),
+        finished_at=(base - timedelta(minutes=2)).isoformat(timespec="seconds"),
+        summary={"processed_count": 5},
+    )
+    altcoin_db.log_cron_run(
+        "粗筛",
+        "altcoin_screener.py",
+        "success",
+        "screened",
+        started_at=started,
+        finished_at=finished,
+        duration_ms=20000,
+        summary={"total_candidates": 3, "total_qualified": 2, "alert_count": 2},
+    )
+    altcoin_db.log_cron_run(
+        "确认",
+        "altcoin_confirm.py",
+        "success",
+        "confirmed",
+        started_at=(base + timedelta(minutes=5)).isoformat(timespec="seconds"),
+        finished_at=(base + timedelta(minutes=6)).isoformat(timespec="seconds"),
+        summary={"processed_count": 2, "confirmed_count": 1, "unconfirmed_count": 1},
+    )
+    _insert_screening(temp_db, (base + timedelta(seconds=5)).isoformat(timespec="seconds"), "粗筛", "AAA/USDT")
+    _insert_screening(temp_db, (base + timedelta(seconds=6)).isoformat(timespec="seconds"), "细筛", "AAA/USDT")
+    rec_id = _insert_recommendation(temp_db, (base + timedelta(minutes=7)).isoformat(timespec="seconds"))
+    _insert_review(temp_db, rec_id, (base + timedelta(minutes=8)).isoformat(timespec="seconds"), outcome="爆发")
+    _insert_missed(temp_db, (base + timedelta(minutes=9)).isoformat(timespec="seconds"))
+
+    data = get_pipeline_runs(limit=10, hours=24)
+    assert data["kpi"]["run_count"] == 1
+    assert data["kpi"]["rough_candidates"] == 3
+    assert data["kpi"]["fine_qualified"] == 2
+    assert data["kpi"]["confirm_hits"] == 1
+    assert data["kpi"]["recommendations"] == 1
+    assert data["kpi"]["perf_success"] == 1
+    assert data["kpi"]["missed_count"] == 1
+
+    run = data["runs"][0]
+    detail = get_pipeline_run_detail(run["run_id"])
+    assert detail["stage_counts"]["observation"] == 1
+    assert detail["stage_counts"]["fine"] == 1
+    assert detail["stage_counts"]["recommendation"] == 1
+    assert detail["recommendations"][0]["performance_status"] == "success"
+    assert detail["missed_explosions"][0]["symbol"] == "MISS/USDT"
+
+
+def test_pipeline_api_keeps_observation_batch_without_recommendations(temp_db):
+    base = datetime.now() - timedelta(minutes=20)
+    altcoin_db.log_cron_run(
+        "粗筛",
+        "altcoin_screener.py",
+        "success",
+        "screened",
+        started_at=base.isoformat(timespec="seconds"),
+        finished_at=(base + timedelta(seconds=10)).isoformat(timespec="seconds"),
+        summary={"total_candidates": 1, "total_qualified": 0},
+    )
+    _insert_screening(temp_db, (base + timedelta(seconds=2)).isoformat(timespec="seconds"), "粗筛", "OBS/USDT", score=4)
+
+    client = TestClient(web_server.app)
+    resp = client.get("/api/pipeline/runs?hours=24")
+    assert resp.status_code == 200
+    data = resp.json()
+    assert data["runs"][0]["rough_candidates"] == 1
+    assert data["runs"][0]["recommendations"] == 0
+
+    detail = client.get(f"/api/pipeline/runs/{data['runs'][0]['run_id']}").json()
+    assert detail["screening_items"][0]["symbol"] == "OBS/USDT"
+    assert detail["screening_items"][0]["stage_label"] == "观察候选"
+
+
+def test_pipeline_page_nav_hides_watchlist_entry_and_watchlist_route_survives(temp_db):
+    client = TestClient(web_server.app)
+
+    pipeline_resp = client.get("/pipeline")
+    assert pipeline_resp.status_code == 200
+    html = pipeline_resp.text
+    assert "链路日志" in html
+    assert 'href="/pipeline"' in html
+    assert 'href="/watchlist"' not in html
+
+    watch_resp = client.get("/watchlist")
+    assert watch_resp.status_code == 200
+
+
+def test_user_nav_keeps_research_pages_in_admin_section(temp_db):
+    client = TestClient(web_server.app)
+    resp = client.get("/app")
+    assert resp.status_code == 200
+    html = resp.text
+
+    assert 'href="/watchlist"' not in html
+    assert 'href="/pipeline" style="display:none"' in html
+    assert 'href="/strategy" style="display:none"' in html
+    assert 'href="/iteration" style="display:none"' in html
+    assert "研发" in html
+
+
+def test_confirm_candidates_prefer_recent_fine_screened_state(temp_db):
+    from app.db.altcoin_db import get_candidates_for_confirm
+
+    old_time = (datetime.now() - timedelta(hours=7)).isoformat(timespec="seconds")
+    recent_time = (datetime.now() - timedelta(minutes=5)).isoformat(timespec="seconds")
+    _insert_coin_state(temp_db, "CHIP/USDT", "蓄力", 5, old_time)
+    _insert_coin_state(temp_db, "DOGE/USDT", "蓄力", 3, recent_time)
+
+    symbols = [item["symbol"] for item in get_candidates_for_confirm()]
+
+    assert symbols == ["DOGE/USDT"]

tests/test_screener_optimizations.py

@@ -237,3 +237,45 @@ def test_strong_static_accumulation_can_promote_to_accelerate(monkeypatch):
     assert any("强静K蓄力直升加速" in s for s in qualified["PNT/USDT"]["signals"])
     assert qualified["PNT/USDT"]["candidate_stage"] == "confirm_pending"
     assert "rec_id" not in qualified["PNT/USDT"]
+
+
+def test_layer1_logs_coarse_candidate_details(monkeypatch):
+    logged = []
+    h4_df = pd.DataFrame({
+        "open": [1.0] * 24,
+        "high": [1.01] * 24,
+        "low": [0.99] * 24,
+        "close": [1.0] * 24,
+        "volume": [1000] * 24,
+    })
+
+    monkeypatch.setattr(altcoin_screener, "fetch_all_tickers", lambda: {
+        "DOGE/USDT": {"volume_24h": 20_000_000, "change_24h": 3.5, "price": 0.1},
+    })
+    monkeypatch.setattr(altcoin_screener, "fetch_funding_rates", lambda: {})
+    monkeypatch.setattr(altcoin_screener, "get_dynamic_weights", _mock_weights)
+    monkeypatch.setattr(altcoin_screener, "is_meme_coin", lambda symbol: False)
+    monkeypatch.setattr(altcoin_screener, "get_burst_threshold", lambda symbol: 20)
+    monkeypatch.setattr(altcoin_screener, "fetch_klines", lambda symbol, timeframe, limit=200: h4_df if timeframe == "4h" else None)
+    monkeypatch.setattr(
+        altcoin_screener,
+        "detect_static_accumulation",
+        lambda symbol, df: {"static_count": 6, "vol_ratio": 1.5},
+    )
+    monkeypatch.setattr(
+        altcoin_screener,
+        "get_screener_section",
+        lambda name=None: {
+            "static_accumulation_bypass": {"min_volume_24h": 1_000_000, "min_vol_ratio": 1.2},
+            "higher_lows": {"enabled": False},
+            "compression_surge": {"enabled": False},
+            "sentiment": {"enabled": False},
+        }.get(name, {}),
+    )
+    monkeypatch.setattr(altcoin_screener.exchange, "fapiPublicGetTicker24hr", lambda: [])
+    monkeypatch.setattr(altcoin_screener, "log_screening", lambda **kwargs: logged.append(kwargs))
+
+    candidates = altcoin_screener.layer1_coarse_filter()
+
+    assert "DOGE/USDT" in candidates
+    assert any(item["layer"] == "粗筛" and item["symbol"] == "DOGE/USDT" for item in logged)