feat: 迁移 trading scripts 第3批 (scan_*/dca_scanner + 清理)

【迁移】 - dividend-scanner/scripts/scan_cn.sh 改 cd 路径 (原来硬编码 /home/openclaw/scripts) - dividend-scanner/scripts/scan_hk.sh / scan_us.sh 同改 - dividend-scanner/scripts/dca_scanner.py (scan_hk/us 调它) - 删除本地 ~/.hermes/scripts/{scan_cn,scan_hk,scan_us,scan_cn.py,dca_scanner}.* 【cron 路径】 - 84c46e13 (港股高息扫描) → dividend-scanner/scripts/scan_hk.sh - 89a3e7a6 (美股高息扫描) → dividend-scanner/scripts/scan_us.sh - 5d62894c (A股高息扫描) → dividend-scanner/scripts/scan_cn.sh 【清理】git rm --cached lottery-hk/scripts/__pycache__/lottery.cpython-311.pyc (不该 commit 编译产物) + .gitignore 加 __pycache__/ 【保留本地 ~/.hermes/scripts/】(非 trading) - analyze_cmb.sh / memory_check.sh / sync_qdrant_memory.sh / cleanup_disk.sh (Hermes 平台工具) - hk_set_sl_now.sh / okx_trade.sh / merge_hype_shorts.sh / rgti_*.py (一次性工具) - longbridge_hosts_*.sh / update_longbridge_token.sh (长桥 host 维护) - ths_query.py / intraday_cost_check.py / lottery_analyze.sh / lb_test.py - check-gateway-health.sh / clear-telegram-session.sh / mcp_auth_helper.py / mihomo_watchdog.sh / push_to_qq.sh / verify_lb_token.py - stocks/, crypto/ (子目录, 工具集合) - dca_positions.json / rgti_alert_state.json / rgti_t_state.json (数据文件) 【未迁移】crypto/ stocks/ 子目录 (待清理, 不紧急) 【测试】scan_cn.sh 从新位置跑通
2026-07-24 11:44:22 +08:00
parent 913d1945d4
commit 80063a1cac
6 changed files with 247 additions and 3 deletions
@@ -0,0 +1,242 @@
+#!/usr/bin/env python3
+"""
+高股息股票扫描器
+- 港股/美股/ A股：全部走LongPort API
+- A股股息率：使用预设数据（定期更新）
+"""
+import os, sys, json
+from datetime import datetime
+
+# === 读取LongPort环境变量 ===
+bashrc = open(os.path.expanduser("~/.bashrc")).read()
+for line in bashrc.splitlines():
+    if line.startswith("export LONGPORT_") or line.startswith("export LONGBRIDGE_"):
+        parts = line.replace("export ", "").split("=", 1)
+        if len(parts) == 2:
+            os.environ[parts[0]] = parts[1].strip('"').strip("'")
+
+from longport import openapi
+from longport.openapi import CalcIndex
+
+cfg = openapi.Config.from_env()
+ctx = openapi.QuoteContext(config=cfg)
+
+# === A股候选池（股息率+派息频率，定期更新） ===
+A_SHARE_POOL = {
+    "601088.SH": {"name": "中国神华", "yield": 6.7, "freq": "年+中期", "sector": "煤炭"},
+    "601328.SH": {"name": "交通银行", "yield": 6.2, "freq": "年度", "sector": "银行"},
+    "601398.SH": {"name": "工商银行", "yield": 5.9, "freq": "年度", "sector": "银行"},
+    "601288.SH": {"name": "农业银行", "yield": 5.8, "freq": "年度", "sector": "银行"},
+    "601939.SH": {"name": "建设银行", "yield": 6.0, "freq": "年度", "sector": "银行"},
+    "601988.SH": {"name": "中国银行", "yield": 5.7, "freq": "年度", "sector": "银行"},
+    "600900.SH": {"name": "长江电力", "yield": 3.8, "freq": "年度", "sector": "电力"},
+    "601857.SH": {"name": "中国石油", "yield": 5.5, "freq": "年度", "sector": "能源"},
+    "600028.SH": {"name": "中国石化", "yield": 5.2, "freq": "年度", "sector": "能源"},
+    "601728.SH": {"name": "中国电信", "yield": 4.8, "freq": "年度", "sector": "电信"},
+    "600036.SH": {"name": "招商银行", "yield": 4.5, "freq": "年度", "sector": "银行"},
+    "601166.SH": {"name": "兴业银行", "yield": 5.8, "freq": "年度", "sector": "银行"},
+    "601818.SH": {"name": "光大银行", "yield": 5.9, "freq": "年度", "sector": "银行"},
+    "600377.SH": {"name": "宁沪高速", "yield": 6.2, "freq": "年度", "sector": "高速"},
+    "601666.SH": {"name": "平煤股份", "yield": 6.2, "freq": "年度", "sector": "煤炭"},
+    "600023.SH": {"name": "浙能电力", "yield": 5.5, "freq": "年度", "sector": "电力"},
+    "000858.SZ": {"name": "五粮液",   "yield": 10.5, "freq": "年度", "sector": "白酒"},
+    "000568.SZ": {"name": "泸州老窖", "yield": 7.0, "freq": "年度", "sector": "白酒"},
+    "000937.SZ": {"name": "冀中能源", "yield": 11.0, "freq": "年度", "sector": "煤炭"},
+    "002304.SZ": {"name": "洋河股份", "yield": 10.8, "freq": "年度", "sector": "白酒"},
+    "000596.SZ": {"name": "古井贡酒", "yield": 6.9, "freq": "年度", "sector": "白酒"},
+    "000001.SZ": {"name": "平安银行", "yield": 5.4, "freq": "年度", "sector": "银行"},
+    "600519.SH": {"name": "贵州茅台", "yield": 5.0, "freq": "年+中期", "sector": "白酒"},
+}
+
+# === 港股/美股候选池 ===
+STOCK_POOLS = {
+    "hk": {
+        "flag": "🇭🇰", "label": "港股", "min_yield": 7.0,
+        "tickers": [
+            "00939.HK", "01398.HK", "00857.HK", "00883.HK", "01088.HK",
+            "00941.HK", "06823.HK", "00823.HK", "02191.HK", "00778.HK",
+            "00405.HK", "02778.HK", "01898.HK", "03988.HK", "01288.HK",
+            "00006.HK", "00002.HK", "00003.HK", "00012.HK", "00016.HK",
+            "00388.HK", "02318.HK", "00027.HK", "01299.HK",
+        ],
+        "freq": {
+            "00939.HK": "半年", "01398.HK": "半年", "00857.HK": "半年",
+            "00883.HK": "半年", "01088.HK": "半年", "00941.HK": "半年",
+            "06823.HK": "半年", "00823.HK": "半年", "02191.HK": "季度",
+            "00778.HK": "半年", "00405.HK": "半年", "02778.HK": "半年",
+            "01898.HK": "半年", "03988.HK": "半年", "01288.HK": "半年",
+            "00006.HK": "半年", "00002.HK": "半年", "00003.HK": "半年",
+            "00012.HK": "半年", "00016.HK": "半年", "00388.HK": "半年",
+            "02318.HK": "半年", "00027.HK": "半年", "01299.HK": "半年",
+        },
+    },
+    "us": {
+        "flag": "🇺🇸", "label": "美股", "min_yield": 7.0,
+        "tickers": [
+            "NLY.US", "HTGC.US", "ARCC.US", "AGNC.US", "PSEC.US",
+            "TWO.US", "STWD.US", "OFS.US", "MAIN.US", "ABR.US",
+            "CIM.US", "NYMT.US", "SBR.US", "PDI.US", "PTY.US",
+        ],
+        "freq": {
+            "NLY.US": "季度", "HTGC.US": "季度", "ARCC.US": "季度",
+            "AGNC.US": "月度", "PSEC.US": "月度", "TWO.US": "季度",
+            "STWD.US": "季度", "OFS.US": "季度", "MAIN.US": "月度",
+            "ABR.US": "季度", "CIM.US": "季度", "NYMT.US": "季度",
+            "SBR.US": "月度", "PDI.US": "月度", "PTY.US": "季度",
+        },
+    },
+}
+
+
+def scan_with_longport(market_key):
+    """用LongPort扫描港股/美股，获取实时价格+股息率"""
+    pool = STOCK_POOLS[market_key]
+    tickers = pool["tickers"]
+    min_yield = pool["min_yield"]
+    flag = pool["flag"]
+    freq_map = pool["freq"]
+    results = []
+    all_quotes = {}
+
+    for i in range(0, len(tickers), 15):
+        batch = tickers[i:i+15]
+        try:
+            quotes = ctx.quote(batch)
+            for q in quotes:
+                all_quotes[q.symbol] = {
+                    "price": float(q.last_done),
+                    "prev_close": float(q.prev_close),
+                    "name": q.name if hasattr(q, 'name') else q.symbol,
+                }
+        except:
+            pass
+        try:
+            indexes = ctx.calc_indexes(batch, [CalcIndex.DividendYield])
+            for idx in indexes:
+                if idx.symbol in all_quotes:
+                    dy = getattr(idx, 'dividend_yield', None)
+                    if dy is not None:
+                        all_quotes[idx.symbol]["yield"] = float(dy) * 100
+        except:
+            pass
+
+    for sym, info in all_quotes.items():
+        dy = info.get("yield", 0)
+        if dy >= min_yield:
+            change_pct = (info["price"] - info["prev_close"]) / info["prev_close"] * 100
+            results.append({
+                "symbol": sym, "name": info.get("name", sym),
+                "price": info["price"], "change_pct": change_pct,
+                "yield": dy, "freq": freq_map.get(sym, "未知"),
+                "flag": flag,
+            })
+
+    results.sort(key=lambda x: x["yield"], reverse=True)
+    return results[:5]
+
+
+def scan_a_share():
+    """用LongPort获取A股实时价格，配合预设股息率数据"""
+    flag = "🇨🇳"
+    min_yield = 5.0
+    tickers = list(A_SHARE_POOL.keys())
+    all_quotes = {}
+
+    # LongPort获取A股实时价格
+    for i in range(0, len(tickers), 15):
+        batch = tickers[i:i+15]
+        try:
+            quotes = ctx.quote(batch)
+            for q in quotes:
+                all_quotes[q.symbol] = {
+                    "price": float(q.last_done),
+                    "prev_close": float(q.prev_close),
+                    "name": q.name if hasattr(q, 'name') else q.symbol,
+                }
+        except:
+            pass
+
+    results = []
+    for sym, info in A_SHARE_POOL.items():
+        if info["yield"] < min_yield:
+            continue
+        q = all_quotes.get(sym)
+        if not q or q["price"] <= 0:
+            continue
+
+        change_pct = (q["price"] - q["prev_close"]) / q["prev_close"] * 100
+        results.append({
+            "symbol": sym, "name": q.get("name", info["name"]),
+            "price": q["price"], "change_pct": change_pct,
+            "yield": info["yield"], "freq": info["freq"],
+            "flag": flag, "sector": info.get("sector", ""),
+        })
+
+    results.sort(key=lambda x: x["yield"], reverse=True)
+    return results[:10]
+
+
+def calc_ladder(price):
+    return [
+        {"tier": 1, "pct": -3, "price": round(price * 0.97, 2)},
+        {"tier": 2, "pct": -6, "price": round(price * 0.94, 2)},
+        {"tier": 3, "pct": -10, "price": round(price * 0.90, 2)},
+    ]
+
+
+def format_result(label, flag, results, total_scanned):
+    now = datetime.now().strftime("%Y-%m-%d %H:%M")
+    if not results:
+        return ""  # 无候选时不输出，避免空推送
+    if "error" in results[0]:
+        return f"{flag} {label}高息扫描 | {now}\n\n❌ {results[0]['error']}"
+
+    lines = [f"{flag} {label}高息TOP | {now}", ""]
+    for i, r in enumerate(results, 1):
+        medal = ["🥇", "🥈", "🥉", "4️⃣", "5️⃣", "6️⃣", "7️⃣", "8️⃣", "9️⃣", "🔟"][min(i-1, 9)]
+        chg = "📈" if r["change_pct"] >= 0 else "📉"
+        sector = f" [{r['sector']}]" if r.get("sector") else ""
+        lines.append(f"{medal} {r['symbol']}{sector}")
+        lines.append(f"   {r['name']}")
+        lines.append(f"   💰 现价: {r['price']:.2f}  {chg} {r['change_pct']:+.1f}%")
+        lines.append(f"   📊 股息率: {r['yield']:.1f}%  派息: {r['freq']}")
+        ladder = calc_ladder(r["price"])
+        lstr = " → ".join([f"T{l['tier']}:{l['price']:.2f}({l['pct']}%)" for l in ladder])
+        lines.append(f"   🪜 阶梯: {lstr}")
+        lines.append("")
+
+    lines.append("━━━━━━━━━━━━━")
+    lines.append(f"📋 共扫描 {total_scanned} 只，筛出 {len(results)} 只")
+    return "\n".join(lines)
+
+
+if __name__ == "__main__":
+    market = sys.argv[1] if len(sys.argv) > 1 else "all"
+
+    if market == "cn":
+        results = scan_a_share()
+        output = format_result("A股", "🇨🇳", results, len(A_SHARE_POOL))
+        if output.strip():
+            print(output)
+    elif market == "hk":
+        results = scan_with_longport("hk")
+        output = format_result("港股", "🇭🇰", results, len(STOCK_POOLS["hk"]["tickers"]))
+        if output.strip():
+            print(output)
+    elif market == "us":
+        results = scan_with_longport("us")
+        output = format_result("美股", "🇺🇸", results, len(STOCK_POOLS["us"]["tickers"]))
+        if output.strip():
+            print(output)
+    elif market == "all":
+        outputs = []
+        outputs.append(format_result("港股", "🇭🇰", scan_with_longport("hk"), len(STOCK_POOLS["hk"]["tickers"])))
+        outputs.append(format_result("美股", "🇺🇸", scan_with_longport("us"), len(STOCK_POOLS["us"]["tickers"])))
+        outputs.append(format_result("A股", "🇨🇳", scan_a_share(), len(A_SHARE_POOL)))
+        # 过滤空结果
+        outputs = [o for o in outputs if o.strip()]
+        if outputs:
+            print("\n\n".join(outputs))
+        # 无候选时不输出任何内容
+    else:
+        print(f"用法: python3 {sys.argv[0]} [hk|us|cn|all]")
@@ -1,3 +1,4 @@
 #!/bin/bash
-cd /home/openclaw/.hermes/scripts
+# 改成从当前目录跑 (skill 仓库下, 用相对路径)
+cd "$(dirname "$0")"
 python3 scan_cn.py
@@ -1,3 +1,3 @@
 #!/bin/bash
-cd /home/openclaw/.hermes/scripts
+cd "$(dirname "$0")"
 python3 dca_scanner.py hk
@@ -1,3 +1,3 @@
 #!/bin/bash
-cd /home/openclaw/.hermes/scripts
+cd "$(dirname "$0")"
 python3 dca_scanner.py us