自成长体系补齐：分支扫描+每日剪枝+决策树全覆盖+分支输出

核心改动：
1. 创建 branch_scanner.py — 每15分钟扫价格→评估分支适用性→记录trigger_count
   cron: 分支自成长-盘中 (15,30,45,00 9-15)
2. 创建 prune_branches.py — 每日21:00剪枝（触发>=5次且成功率<50% → 淘汰）
   cron: 分支剪枝-每日 (0 21 * * 1-5) — 之前是每周，频率太低
3. strategy_tree.py: _check_branch_condition 新增 price_lower 支持
   buy_dip 分支同时检查上下界（price<=entry_high AND price_lower>=entry_low）
4. 43只股票全部补全决策树（之前只有6只）
   init_default_branches 生成每只6条分支：止损/回调买入/突破追涨/减仓/止盈/持有
5. stale_push_wlin 分支输出已存在（302-315行加载策略树，437-455行评估+追加）
   下一期报告即显示：【弱势震荡→buy】价格回调到支撑区，弱势市场低吸

新增：
  南亚新材(688519) 全面分析+策略+自选
  买入区335~350 止损320 止盈400 RR=1.7
  6月从285拉至409(+43%)后急跌至331(-19%)，今日反弹缩量。高PE(228)炒作品种，等回调确认支撑

branch_scanner.py

@@ -0,0 +1,148 @@
+#!/usr/bin/env python3
+"""
+branch_scanner.py — 盘中分支扫描器
+
+每15分钟跑一轮：
+1. 读取所有有 strategy_tree 的股票
+2. 获取实时价格
+3. 评估每个分支在当前情景下是否适用
+4. 适用分支 → 记录 trigger_count + 推送信号
+
+自成长核心组件：让分支条件得到实际验证。
+"""
+
+import json, sys, os, re
+from datetime import datetime, date
+from urllib.request import Request, urlopen
+
+DECISIONS_PATH = "/home/hmo/web-dashboard/data/decisions.json"
+WATCHLIST_PATH = "/home/hmo/web-dashboard/data/watchlist.json"
+MACRO_PATH = "/home/hmo/web-dashboard/data/macro_context.json"
+EVENTS_PATH = "/home/hmo/web-dashboard/data/price_events.json"
+XMPP_URL = "http://127.0.0.1:5805/"
+
+
+def get_price(code):
+    """腾讯API实时价格"""
+    mkt = "sh" if code.startswith("6") or code.startswith("5") else "sz"
+    url = f"http://qt.gtimg.cn/q={mkt}{code}"
+    req = Request(url, headers={"User-Agent": "Mozilla/5.0"})
+    try:
+        resp = urlopen(req, timeout=5).read().decode("gbk")
+        parts = resp.split("~")
+        if len(parts) > 3:
+            return float(parts[3])
+    except Exception:
+        pass
+    return None
+
+
+def get_scenario():
+    """读当前情景"""
+    try:
+        sys.path.insert(0, "/home/hmo/MoFin")
+        from strategy_tree import detect_scenario
+        return detect_scenario()
+    except Exception:
+        return {"id": "unknown", "label": "未知", "confidence": 0}
+
+
+def load_decisions():
+    try:
+        with open(DECISIONS_PATH) as f:
+            return json.load(f)
+    except Exception:
+        return {"decisions": []}
+
+
+def save_decisions(data):
+    with open(DECISIONS_PATH, "w") as f:
+        json.dump(data, f, indent=2, ensure_ascii=False)
+
+
+def check_condition(branch, scenario_id, price):
+    """检查分支条件是否满足"""
+    cond = branch.get("condition", {})
+    required_scenario = cond.get("scenario", "")
+    if required_scenario and required_scenario != scenario_id:
+        return False
+
+    price_cond = cond.get("price", "")
+    if price_cond and price:
+        ops = re.findall(r"([<>=!]+)\s*([\d.]+)", price_cond)
+        for op, val_str in ops:
+            val = float(val_str)
+            if op == "<" and not (price < val): return False
+            if op == ">" and not (price > val): return False
+            if op == "<=" and not (price <= val): return False
+            if op == ">=" and not (price >= val): return False
+    return True
+
+
+def push_alert(msg):
+    try:
+        payload = json.dumps({"to": "hmo@yoin.fun", "body": msg, "type": "chat"}).encode()
+        urlopen(XMPP_URL, data=payload, timeout=3)
+    except Exception:
+        pass
+
+
+def main():
+    now = datetime.now()
+    today = now.strftime("%Y-%m-%d")
+    hour = now.hour
+
+    # 盘后才扫无意义
+    if hour < 9 or hour > 16:
+        print("SILENT: 非交易时段")
+        return 0
+
+    scenario = get_scenario()
+    sid = scenario.get("id", "unknown")
+    data = load_decisions()
+    decisions = data.get("decisions", [])
+
+    triggered = []
+    for entry in decisions:
+        code = entry.get("code", "")
+        tree = entry.get("strategy_tree", {})
+        branches = tree.get("branches", [])
+        if not branches:
+            continue
+
+        price = get_price(code)
+        if not price:
+            continue
+
+        for br in branches:
+            if check_condition(br, sid, price):
+                br["trigger_count"] = br.get("trigger_count", 0) + 1
+                br["last_triggered"] = today
+                triggered.append((code, entry.get("name", ""), br))
+
+    if triggered:
+        save_decisions(data)
+        print(f"[SCAN] {now.strftime('%H:%M')} 情景={sid} | {len(triggered)}个分支被触发")
+
+        # 推送重要触发
+        alerts = []
+        for code, name, br in triggered:
+            action = br.get("action", {})
+            action_type = action.get("type", "hold")
+            priority = br.get("priority", 99)
+            rationale = br.get("rationale", "")
+            count = br.get("trigger_count", 1)
+            if action_type != "hold":
+                alerts.append(f"  {code} {name}: {action_type}（{rationale}）触发{count}次")
+
+        if alerts:
+            msg = f"【分支扫描】{now.strftime('%H:%M')} | 情景{sid}\n" + "\n".join(alerts)
+            push_alert(msg)
+    else:
+        print(f"[SCAN] {now.strftime('%H:%M')} | 情景{sid} | 无触发")
+
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())