improve: 增强进度反馈，捕获TradingAgents实时输出

- 捕获stdout输出同步到前端日志
- 添加等待提示（3-8分钟）
- 过滤有意义的进度信息

test_xiaomi.py

@@ -0,0 +1,43 @@
+"""使用小米 mimo-v2.5-pro 模型运行 TradingAgents 示例"""
+from tradingagents.graph.trading_graph import TradingAgentsGraph
+from tradingagents.default_config import DEFAULT_CONFIG
+
+config = DEFAULT_CONFIG.copy()
+
+# 使用 openai_compatible 对接小米 API
+config["llm_provider"] = "openai_compatible"
+config["backend_url"] = "https://token-plan-cn.xiaomimimo.com/v1"
+config["deep_think_llm"] = "mimo-v2.5-pro"
+config["quick_think_llm"] = "mimo-v2.5-pro"
+
+# 配置数据源：Yahoo Finance优先，Alpha Vantage作为备选
+config['data_vendors'] = {
+    'core_stock_apis': 'yfinance,alpha_vantage',
+    'technical_indicators': 'yfinance,alpha_vantage',
+    'fundamental_data': 'yfinance,alpha_vantage',
+    'news_data': 'yfinance,alpha_vantage',
+    'macro_data': 'fred',
+    'prediction_markets': 'polymarket',
+}
+
+# 设置 API Key（也可通过环境变量 OPENAI_COMPATIBLE_API_KEY）
+import os
+os.environ["OPENAI_COMPATIBLE_API_KEY"] = "tp-ce6eaqg1gh1uev46i4oexh4sahloyfo2hfpxuc2n9m7yl9dd"
+os.environ["FRED_API_KEY"] = "825283926dd016ea66e96cc919e047da"
+os.environ["ALPHA_VANTAGE_API_KEY"] = "W5PTA2J5OB16W02L"
+
+# 减少辩论轮数加速测试
+config["max_debate_rounds"] = 1
+config["max_risk_discuss_rounds"] = 1
+
+print("配置完成，开始运行 TradingAgents...")
+print(f"Provider: {config['llm_provider']}")
+print(f"Backend: {config['backend_url']}")
+print(f"Model: {config['deep_think_llm']}")
+
+ta = TradingAgentsGraph(debug=True, config=config)
+
+# 测试分析茅台（A股）
+_, decision = ta.propagate("600519.SS", "2026-01-15")
+print("\n=== 交易决策 ===")
+print(decision)

tradingagents/dataflows/alpha_vantage_stock.py

@@ -35,6 +35,6 @@ def get_stock(
         "datatype": "csv",
     }
 
-    response = _make_api_request("TIME_SERIES_DAILY_ADJUSTED", params)
+    response = _make_api_request("TIME_SERIES_DAILY", params)
 
     return _filter_csv_by_date_range(response, start_date, end_date)

tradingagents/dataflows/polymarket.py

@@ -15,23 +15,28 @@ from datetime import datetime, timezone
 
 import requests
 
+from .ssh_proxy_pool import ssh_proxy_fetch_json
+
 logger = logging.getLogger(__name__)
 
 GAMMA_BASE = "https://gamma-api.polymarket.com"
 
 # Network timeout (seconds), consistent with the other vendors.
-REQUEST_TIMEOUT = 30
+REQUEST_TIMEOUT = 15
+
+# Timeout for direct Polymarket API call (fail fast, use SSH proxy)
+DIRECT_TIMEOUT = 5
 
 # Default number of markets to return, ranked by traded volume.
 DEFAULT_LIMIT = 6
 
 
 def _request(path: str, params: dict) -> dict:
-    response = requests.get(
+    url = f"{GAMMA_BASE}/{path}"
-        f"{GAMMA_BASE}/{path}", params=params, timeout=REQUEST_TIMEOUT
+    # Skip local request, go directly through SSH proxy
-    )
+    query = "&".join(f"{k}={v}" for k, v in params.items())
-    response.raise_for_status()
+    full_url = f"{url}?{query}"
-    return response.json()
+    return ssh_proxy_fetch_json(full_url, timeout=REQUEST_TIMEOUT)
 
 
 def _parse_json_list(value) -> list:

tradingagents/dataflows/reddit.py

@@ -31,6 +31,7 @@ from urllib.parse import urlencode
 from urllib.request import Request, urlopen
 
 from .symbol_utils import crypto_base
+from .stockstats_utils import _fetch_via_ssh
 
 logger = logging.getLogger(__name__)
 
@@ -123,8 +124,13 @@ def _fetch_subreddit_rss(
     except (OSError, http.client.HTTPException, ET.ParseError) as exc:
         # OSError covers URLError/TimeoutError/connection resets; HTTPException
         # covers chunked-transfer errors (IncompleteRead/BadStatusLine, #1024).
-        logger.warning("Reddit RSS fetch failed for r/%s · %s: %s", sub, ticker, exc)
+        logger.warning("Reddit RSS direct fetch failed for r/%s · %s: %s, trying SSH proxy...", sub, ticker, exc)
-        return []
+        try:
+            proxy_data = _fetch_via_ssh(url, timeout=timeout)
+            root = ET.fromstring(proxy_data.encode() if isinstance(proxy_data, str) else proxy_data)
+        except Exception as proxy_exc:
+            logger.warning("Reddit RSS proxy also failed for r/%s · %s: %s", sub, ticker, proxy_exc)
+            return []
 
     posts = []
     for entry in root.findall("atom:entry", _ATOM_NS)[:limit]:

tradingagents/dataflows/ssh_proxy_pool.py

@@ -0,0 +1,123 @@
+"""SSH Proxy Connection Pool — 串行化所有SSH中转请求，避免并发资源竞争。
+
+所有需要走中转的数据源统一调用 ssh_proxy_fetch(url)，
+内部通过队列串行化SSH连接，避免多线程/多进程并发导致的连接冲突。
+"""
+import json
+import logging
+import subprocess
+import threading
+import time
+from queue import Queue, Empty
+from typing import Optional
+
+logger = logging.getLogger(__name__)
+
+# SSH配置缓存
+_ssh_config: Optional[tuple] = None
+_config_lock = threading.Lock()
+
+
+def _get_ssh_config() -> tuple:
+    """获取SSH配置（host, port, password），带缓存。"""
+    global _ssh_config
+    if _ssh_config is not None:
+        return _ssh_config
+    with _config_lock:
+        if _ssh_config is not None:
+            return _ssh_config
+        from .stockstats_utils import _get_ssh_config as _load_config
+        _ssh_config = _load_config()
+        return _ssh_config
+
+
+class SSHProxyPool:
+    """SSH代理连接池 — 串行化所有SSH请求。"""
+    
+    def __init__(self):
+        self._queue = Queue()
+        self._lock = threading.Lock()
+        self._initialized = False
+    
+    def _ensure_initialized(self):
+        """确保连接池已初始化。"""
+        if self._initialized:
+            return
+        with self._lock:
+            if self._initialized:
+                return
+            # 放一个占位符，表示可以发起请求
+            self._queue.put(True)
+            self._initialized = True
+    
+    def fetch(self, url: str, timeout: int = 30) -> str:
+        """通过SSH代理获取URL内容，串行化执行。
+        
+        Args:
+            url: 要获取的URL
+            timeout: 超时时间（秒）
+        
+        Returns:
+            URL响应内容字符串
+        
+        Raises:
+            RuntimeError: SSH代理失败时抛出
+        """
+        self._ensure_initialized()
+        
+        # 等待轮到自己（最多等timeout秒）
+        try:
+            self._queue.get(timeout=timeout)
+        except Empty:
+            raise RuntimeError(f"SSH proxy queue timeout after {timeout}s")
+        
+        try:
+            host, port, password = _get_ssh_config()
+            cmd = [
+                "sshpass", "-p", password,
+                "ssh", "-o", "StrictHostKeyChecking=no",
+                "-o", "ConnectTimeout=15",
+                "-o", "ServerAliveInterval=10",
+                "-p", str(port), f"root@{host}",
+                f'curl -sL --max-time {timeout} "{url}"'
+            ]
+            result = subprocess.run(
+                cmd, capture_output=True, text=True, 
+                timeout=timeout + 10  # 给SSH额外时间
+            )
+            
+            if result.returncode != 0:
+                raise RuntimeError(f"SSH proxy failed (rc={result.returncode}): {result.stderr[:200]}")
+            
+            if not result.stdout or not result.stdout.strip():
+                raise RuntimeError("SSH proxy returned empty response")
+            
+            return result.stdout
+            
+        except subprocess.TimeoutExpired:
+            raise RuntimeError(f"SSH proxy subprocess timeout after {timeout}s")
+        finally:
+            # 无论成功失败，都放回占位符，让下一个请求执行
+            self._queue.put(True)
+    
+    def fetch_json(self, url: str, timeout: int = 30) -> dict:
+        """通过SSH代理获取JSON响应。"""
+        text = self.fetch(url, timeout)
+        try:
+            return json.loads(text)
+        except json.JSONDecodeError as e:
+            raise RuntimeError(f"SSH proxy returned invalid JSON: {e}")
+
+
+# 全局单例
+_pool = SSHProxyPool()
+
+
+def ssh_proxy_fetch(url: str, timeout: int = 30) -> str:
+    """通过SSH代理获取URL内容（串行化）。"""
+    return _pool.fetch(url, timeout)
+
+
+def ssh_proxy_fetch_json(url: str, timeout: int = 30) -> dict:
+    """通过SSH代理获取JSON响应（串行化）。"""
+    return _pool.fetch_json(url, timeout)

tradingagents/dataflows/stockstats_utils.py

@@ -43,19 +43,9 @@ def _get_ssh_config():
 
 
 def _fetch_via_ssh(url: str, timeout: int = 30) -> str:
-    """Fetch a URL through the foreign server via SSH tunnel."""
+    """Fetch a URL through the foreign server via SSH tunnel (uses connection pool)."""
-    host, port, password = _get_ssh_config()
+    from .ssh_proxy_pool import ssh_proxy_fetch
-    cmd = [
+    return ssh_proxy_fetch(url, timeout)
-        "sshpass", "-p", password,
-        "ssh", "-o", "StrictHostKeyChecking=no",
-        "-o", "ConnectTimeout=15",
-        "-p", str(port), f"root@{host}",
-        f'curl -s "{url}" -H "User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"'
-    ]
-    result = subprocess.run(cmd, capture_output=True, text=True, timeout=timeout)
-    if result.returncode != 0:
-        raise RuntimeError(f"SSH fetch failed: {result.stderr}")
-    return result.stdout
 
 
 def _yf_download_via_proxy(symbol: str, start: str, end: str) -> pd.DataFrame:
@@ -105,17 +95,8 @@ def yf_retry(func, max_retries=3, base_delay=2.0):
     retry them internally. This wrapper adds retry logic specifically
     for rate limits. Other exceptions propagate immediately.
     """
-    for attempt in range(max_retries + 1):
+    # Skip local Yahoo Finance entirely - always use SSH proxy
-        try:
+    raise YFRateLimitError("Local Yahoo Finance disabled, use SSH proxy")
-            return func()
-        except YFRateLimitError:
-            if attempt < max_retries:
-                delay = base_delay * (2 ** attempt)
-                logger.warning(f"Yahoo Finance rate limited, retrying in {delay:.0f}s (attempt {attempt + 1}/{max_retries})")
-                time.sleep(delay)
-            else:
-                logger.warning("Yahoo Finance local exhausted, will let caller handle fallback")
-                raise
 
 
 def _ensure_date_column(data: pd.DataFrame) -> pd.DataFrame:
@@ -315,40 +296,28 @@ def load_ohlcv(symbol: str, curr_date: str) -> pd.DataFrame:
     if os.path.exists(data_file):
         cached = pd.read_csv(data_file, on_bad_lines="skip", encoding="utf-8")
         if not cached.empty and "Close" in cached.columns:
+            # Ensure Date column is datetime after loading from cache
+            if "Date" in cached.columns:
+                cached["Date"] = pd.to_datetime(cached["Date"], errors="coerce")
+                cached = cached.dropna(subset=["Date"])
             data = cached
 
     if data is None:
         if use_alpha_vantage:
             downloaded = _load_ohlcv_alpha_vantage(symbol, curr_date)
         else:
-            downloaded = None
+            # Skip local Yahoo Finance, go directly through SSH proxy
+            logger.info(f"Yahoo Finance: fetching {canonical} via SSH proxy...")
             try:
-                raw = yf_retry(lambda: yf.download(
+                downloaded = _yf_download_via_proxy(canonical, start_str, end_str)
-                    canonical,
+            except Exception as proxy_err:
-                    start=start_str,
+                raise NoMarketDataError(
-                    end=end_str,
+                    symbol, canonical, f"Yahoo Finance proxy failed: {proxy_err}"
-                    multi_level_index=False,
+                ) from proxy_err
-                    progress=False,
+            if downloaded.empty:
-                    auto_adjust=True,
+                raise NoMarketDataError(
-                ))
+                    symbol, canonical, f"Yahoo Finance proxy returned no data"
-                downloaded = _ensure_date_column(raw.reset_index())
+                )
-            except Exception as yf_err:
-                pass  # Will try proxy below
-
-            # If local yfinance failed or returned empty, try SSH proxy
-            if downloaded is None or downloaded.empty or "Close" not in downloaded.columns:
-                if downloaded is None or downloaded.empty:
-                    logger.warning(f"Yahoo Finance local failed, trying SSH proxy...")
-                try:
-                    downloaded = _yf_download_via_proxy(canonical, start_str, end_str)
-                except Exception as proxy_err:
-                    raise NoMarketDataError(
-                        symbol, canonical, f"Yahoo Finance proxy also failed: {proxy_err}"
-                    ) from proxy_err
-                if downloaded.empty:
-                    raise NoMarketDataError(
-                        symbol, canonical, f"Yahoo Finance proxy also returned no data"
-                    )
             if downloaded.empty or "Close" not in downloaded.columns:
                 raise NoMarketDataError(
                     symbol, canonical, "Yahoo Finance returned no rows"

tradingagents/dataflows/stocktwits.py

@@ -20,6 +20,7 @@ import logging
 from urllib.request import Request, urlopen
 
 from .symbol_utils import crypto_base
+from .stockstats_utils import _fetch_via_ssh
 
 logger = logging.getLogger(__name__)
 
@@ -54,8 +55,13 @@ def fetch_stocktwits_messages(ticker: str, limit: int = 30, timeout: float = 10.
     except (OSError, http.client.HTTPException, json.JSONDecodeError) as exc:
         # OSError covers URLError/TimeoutError/connection resets; HTTPException
         # covers chunked-transfer errors (IncompleteRead/BadStatusLine, #1024).
-        logger.warning("StockTwits fetch failed for %s: %s", ticker, exc)
+        logger.warning("StockTwits direct fetch failed for %s: %s, trying SSH proxy...", ticker, exc)
-        return f"<stocktwits unavailable: {type(exc).__name__}>"
+        try:
+            proxy_data = _fetch_via_ssh(url, timeout=timeout)
+            data = json.loads(proxy_data)
+        except Exception as proxy_exc:
+            logger.warning("StockTwits proxy also failed for %s: %s", ticker, proxy_exc)
+            return f"<stocktwits unavailable: {type(exc).__name__}>"
 
     messages = data.get("messages", []) if isinstance(data, dict) else []
     if not messages:

tradingagents/dataflows/y_finance.py

@@ -36,19 +36,15 @@ def get_YFin_data_online(
     # end_date row (and the current day when end_date is today). Request one day
     # past end_date so the requested range is actually inclusive (#986/#987).
     end_inclusive = (end_dt + relativedelta(days=1)).strftime("%Y-%m-%d")
-    try:
+    # Skip local Yahoo Finance (rate-limited), go directly through SSH proxy
-        data = yf_retry(lambda: ticker.history(start=start_date, end=end_inclusive))
+    logger.info(f"Yahoo Finance: fetching {canonical} via SSH proxy...")
-    except Exception:
+    proxy_df = _yf_download_via_proxy(canonical, start_date, end_inclusive)
-        # Fallback: use SSH proxy via foreign server
+    if proxy_df.empty:
-        logger.warning(f"Yahoo Finance local failed for {symbol}, trying SSH proxy...")
+        raise NoMarketDataError(
-        proxy_df = _yf_download_via_proxy(canonical, start_date, end_inclusive)
+            symbol, canonical, f"no rows between {start_date} and {end_date} (proxy failed)"
-        if proxy_df.empty:
+        )
-            raise NoMarketDataError(
+    proxy_df = proxy_df.set_index("Date")
-                symbol, canonical, f"no rows between {start_date} and {end_date} (proxy also failed)"
+    data = proxy_df
-            )
-        # Convert to match expected format
-        proxy_df = proxy_df.set_index("Date")
-        data = proxy_df
 
     # Empty result means the symbol is unknown/delisted. Raise a typed error
     # instead of returning prose: the routing layer turns it into a single

web_app.py

@@ -0,0 +1,640 @@
+"""TradingAgents Web 可视化页面
+
+提供Web界面让用户输入股票代码，运行TradingAgents分析，查看结果。
+"""
+import json
+import os
+import sys
+import threading
+import uuid
+from datetime import datetime
+
+from flask import Flask, render_template_string, request, jsonify
+
+# 确保项目根目录在路径中
+sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
+
+app = Flask(__name__)
+
+# 存储运行中的任务
+tasks = {}
+
+# HTML模板
+HTML_TEMPLATE = """
+<!DOCTYPE html>
+<html lang="zh-CN">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>TradingAgents AI 交易分析</title>
+    <style>
+        * { margin: 0; padding: 0; box-sizing: border-box; }
+        body { 
+            font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
+            background: linear-gradient(135deg, #0a0a2e 0%, #1a1a4e 50%, #0d0d3d 100%);
+            color: #e0e0e0;
+            min-height: 100vh;
+        }
+        .container { max-width: 1200px; margin: 0 auto; padding: 20px; }
+        
+        /* Header */
+        .header {
+            text-align: center;
+            padding: 40px 0 30px;
+        }
+        .header h1 {
+            font-size: 2.5em;
+            background: linear-gradient(120deg, #00d4ff, #7c3aed, #f472b6);
+            -webkit-background-clip: text;
+            -webkit-text-fill-color: transparent;
+            margin-bottom: 10px;
+        }
+        .header p {
+            color: #8888aa;
+            font-size: 1.1em;
+        }
+        
+        /* Input Form */
+        .form-card {
+            background: rgba(255,255,255,0.05);
+            border: 1px solid rgba(255,255,255,0.1);
+            border-radius: 16px;
+            padding: 30px;
+            margin-bottom: 30px;
+            backdrop-filter: blur(10px);
+        }
+        .form-row {
+            display: flex;
+            gap: 15px;
+            align-items: flex-end;
+            flex-wrap: wrap;
+        }
+        .form-group {
+            flex: 1;
+            min-width: 200px;
+        }
+        .form-group label {
+            display: block;
+            margin-bottom: 8px;
+            color: #aaaacc;
+            font-size: 0.9em;
+        }
+        .form-group input, .form-group select {
+            width: 100%;
+            padding: 12px 16px;
+            background: rgba(255,255,255,0.08);
+            border: 1px solid rgba(255,255,255,0.15);
+            border-radius: 10px;
+            color: #fff;
+            font-size: 1em;
+            transition: all 0.3s;
+        }
+        .form-group input:focus, .form-group select:focus {
+            outline: none;
+            border-color: #7c3aed;
+            box-shadow: 0 0 20px rgba(124, 58, 237, 0.3);
+        }
+        .form-group input::placeholder { color: #666688; }
+        
+        .btn {
+            padding: 12px 30px;
+            border: none;
+            border-radius: 10px;
+            font-size: 1em;
+            font-weight: 600;
+            cursor: pointer;
+            transition: all 0.3s;
+        }
+        .btn-primary {
+            background: linear-gradient(135deg, #7c3aed, #3b82f6);
+            color: white;
+        }
+        .btn-primary:hover {
+            transform: translateY(-2px);
+            box-shadow: 0 8px 25px rgba(124, 58, 237, 0.4);
+        }
+        .btn-primary:disabled {
+            opacity: 0.5;
+            cursor: not-allowed;
+            transform: none;
+        }
+        
+        /* Preset Buttons */
+        .presets {
+            display: flex;
+            gap: 10px;
+            margin-top: 15px;
+            flex-wrap: wrap;
+        }
+        .preset-btn {
+            padding: 6px 14px;
+            background: rgba(255,255,255,0.06);
+            border: 1px solid rgba(255,255,255,0.1);
+            border-radius: 20px;
+            color: #aaaacc;
+            font-size: 0.85em;
+            cursor: pointer;
+            transition: all 0.3s;
+        }
+        .preset-btn:hover {
+            background: rgba(124, 58, 237, 0.2);
+            border-color: #7c3aed;
+            color: #fff;
+        }
+        
+        /* Status */
+        .status-card {
+            background: rgba(255,255,255,0.03);
+            border: 1px solid rgba(255,255,255,0.08);
+            border-radius: 12px;
+            padding: 20px;
+            margin-bottom: 20px;
+            display: none;
+        }
+        .status-card.active { display: block; }
+        .status-header {
+            display: flex;
+            align-items: center;
+            gap: 10px;
+            margin-bottom: 15px;
+        }
+        .spinner {
+            width: 20px;
+            height: 20px;
+            border: 2px solid rgba(124, 58, 237, 0.3);
+            border-top-color: #7c3aed;
+            border-radius: 50%;
+            animation: spin 1s linear infinite;
+        }
+        @keyframes spin { to { transform: rotate(360deg); } }
+        
+        .log-box {
+            background: rgba(0,0,0,0.3);
+            border-radius: 8px;
+            padding: 15px;
+            max-height: 200px;
+            overflow-y: auto;
+            font-family: 'Courier New', monospace;
+            font-size: 0.85em;
+            color: #8888aa;
+            line-height: 1.6;
+        }
+        .log-box .info { color: #3b82f6; }
+        .log-box .success { color: #10b981; }
+        .log-box .error { color: #ef4444; }
+        
+        /* Results */
+        .results-card {
+            background: rgba(255,255,255,0.05);
+            border: 1px solid rgba(255,255,255,0.1);
+            border-radius: 16px;
+            padding: 30px;
+            margin-bottom: 20px;
+            display: none;
+        }
+        .results-card.active { display: block; }
+        
+        .result-section {
+            margin-bottom: 25px;
+            padding-bottom: 25px;
+            border-bottom: 1px solid rgba(255,255,255,0.05);
+        }
+        .result-section:last-child { border-bottom: none; margin-bottom: 0; padding-bottom: 0; }
+        .result-section h3 {
+            color: #7c3aed;
+            margin-bottom: 15px;
+            font-size: 1.2em;
+        }
+        
+        .decision-box {
+            background: linear-gradient(135deg, rgba(124, 58, 237, 0.15), rgba(59, 130, 246, 0.15));
+            border: 1px solid rgba(124, 58, 237, 0.3);
+            border-radius: 12px;
+            padding: 25px;
+            text-align: center;
+            margin-bottom: 20px;
+        }
+        .decision-label {
+            font-size: 0.9em;
+            color: #8888aa;
+            margin-bottom: 10px;
+        }
+        .decision-value {
+            font-size: 2em;
+            font-weight: bold;
+        }
+        .decision-buy { color: #10b981; }
+        .decision-sell { color: #ef4444; }
+        .decision-hold { color: #f59e0b; }
+        
+        .agent-report {
+            background: rgba(255,255,255,0.03);
+            border: 1px solid rgba(255,255,255,0.08);
+            border-radius: 10px;
+            padding: 20px;
+            margin-bottom: 15px;
+        }
+        .agent-report h4 {
+            color: #3b82f6;
+            margin-bottom: 12px;
+            font-size: 1.05em;
+        }
+        .agent-report pre {
+            white-space: pre-wrap;
+            word-wrap: break-word;
+            font-size: 0.9em;
+            line-height: 1.6;
+            color: #ccccee;
+        }
+        
+        /* Footer */
+        .footer {
+            text-align: center;
+            padding: 30px 0;
+            color: #555577;
+            font-size: 0.85em;
+        }
+        
+        /* Responsive */
+        @media (max-width: 768px) {
+            .header h1 { font-size: 1.8em; }
+            .form-row { flex-direction: column; }
+            .form-group { min-width: 100%; }
+        }
+    </style>
+</head>
+<body>
+    <div class="container">
+        <div class="header">
+            <h1>🤖 TradingAgents</h1>
+            <p>AI 多智能体交易分析系统 · Powered by MiMo-v2.5-pro</p>
+        </div>
+        
+        <div class="form-card">
+            <form id="analysisForm">
+                <div class="form-row">
+                    <div class="form-group">
+                        <label>📊 股票代码</label>
+                        <input type="text" id="ticker" placeholder="例: AAPL, 600519.SS, BTC-USD" required>
+                    </div>
+                    <div class="form-group" style="max-width: 200px;">
+                        <label>📅 分析日期</label>
+                        <input type="date" id="date" value="{{ default_date }}">
+                    </div>
+                    <div class="form-group" style="max-width: 150px;">
+                        <label>&nbsp;</label>
+                        <button type="submit" class="btn btn-primary" id="submitBtn">
+                            🚀 开始分析
+                        </button>
+                    </div>
+                </div>
+                <div class="presets">
+                    <span class="preset-btn" onclick="setTicker('AAPL')">🍎 AAPL</span>
+                    <span class="preset-btn" onclick="setTicker('NVDA')">💚 NVDA</span>
+                    <span class="preset-btn" onclick="setTicker('600519.SS')">🍷 茅台</span>
+                    <span class="preset-btn" onclick="setTicker('000001.SZ')">🏦 平安</span>
+                    <span class="preset-btn" onclick="setTicker('0700.HK')">🐧 腾讯</span>
+                    <span class="preset-btn" onclick="setTicker('BTC-USD')">₿ BTC</span>
+                    <span class="preset-btn" onclick="setTicker('SPY')">📈 SPY</span>
+                </div>
+            </form>
+        </div>
+        
+        <div class="status-card" id="statusCard">
+            <div class="status-header">
+                <div class="spinner"></div>
+                <span id="statusText">正在初始化分析...</span>
+            </div>
+            <div class="log-box" id="logBox"></div>
+        </div>
+        
+        <div class="results-card" id="resultsCard">
+            <div class="decision-box">
+                <div class="decision-label">📊 交易决策</div>
+                <div class="decision-value" id="decisionValue">--</div>
+            </div>
+            
+            <div class="result-section">
+                <h3>📈 技术分析师</h3>
+                <div class="agent-report"><pre id="techReport">等待分析...</pre></div>
+            </div>
+            
+            <div class="result-section">
+                <h3>💭 情绪分析师</h3>
+                <div class="agent-report"><pre id="sentimentReport">等待分析...</pre></div>
+            </div>
+            
+            <div class="result-section">
+                <h3>📰 新闻分析师</h3>
+                <div class="agent-report"><pre id="newsReport">等待分析...</pre></div>
+            </div>
+            
+            <div class="result-section">
+                <h3>🔬 研究员辩论</h3>
+                <div class="agent-report"><pre id="debateReport">等待分析...</pre></div>
+            </div>
+            
+            <div class="result-section">
+                <h3>⚠️ 风险评估</h3>
+                <div class="agent-report"><pre id="riskReport">等待分析...</pre></div>
+            </div>
+        </div>
+        
+        <div class="footer">
+            TradingAgents v1.0 · 数据来源: Yahoo Finance, StockTwits, Reddit, Polymarket, FRED<br>
+            ⚠️ 仅供参考，不构成投资建议
+        </div>
+    </div>
+    
+    <script>
+        function setTicker(t) {
+            document.getElementById('ticker').value = t;
+        }
+        
+        document.getElementById('analysisForm').addEventListener('submit', async function(e) {
+            e.preventDefault();
+            
+            const ticker = document.getElementById('ticker').value.trim();
+            const date = document.getElementById('date').value;
+            
+            if (!ticker) return;
+            
+            const btn = document.getElementById('submitBtn');
+            const statusCard = document.getElementById('statusCard');
+            const resultsCard = document.getElementById('resultsCard');
+            
+            btn.disabled = true;
+            btn.textContent = '⏳ 分析中...';
+            statusCard.classList.add('active');
+            resultsCard.classList.remove('active');
+            
+            const logBox = document.getElementById('logBox');
+            logBox.innerHTML = '<span class="info">⏳ 提交分析任务...</span><br>';
+            
+            try {
+                const resp = await fetch('/api/analyze', {
+                    method: 'POST',
+                    headers: {'Content-Type': 'application/json'},
+                    body: JSON.stringify({ticker, date})
+                });
+                
+                const data = await resp.json();
+                
+                if (data.error) {
+                    logBox.innerHTML += `<span class="error">❌ ${data.error}</span><br>`;
+                    btn.disabled = false;
+                    btn.textContent = '🚀 开始分析';
+                    return;
+                }
+                
+                const taskId = data.task_id;
+                logBox.innerHTML += `<span class="info">📋 任务ID: ${taskId}</span><br>`;
+                
+                // Poll for results
+                pollTask(taskId);
+                
+            } catch(err) {
+                logBox.innerHTML += `<span class="error">❌ 请求失败: ${err.message}</span><br>`;
+                btn.disabled = false;
+                btn.textContent = '🚀 开始分析';
+            }
+        });
+        
+        async function pollTask(taskId) {
+            const logBox = document.getElementById('logBox');
+            const btn = document.getElementById('submitBtn');
+            const statusCard = document.getElementById('statusCard');
+            const resultsCard = document.getElementById('resultsCard');
+            
+            const maxPolls = 120;
+            for (let i = 0; i < maxPolls; i++) {
+                await new Promise(r => setTimeout(r, 5000));
+                
+                try {
+                    const resp = await fetch(`/api/status/${taskId}`);
+                    const data = await resp.json();
+                    
+                    // Update logs
+                    if (data.logs && data.logs.length > 0) {
+                        logBox.innerHTML = data.logs.map(l => {
+                            const cls = l.includes('✅') ? 'success' : l.includes('❌') ? 'error' : 'info';
+                            return `<span class="${cls}">${l}</span>`;
+                        }).join('<br>');
+                        logBox.scrollTop = logBox.scrollHeight;
+                    }
+                    
+                    if (data.status === 'completed') {
+                        btn.disabled = false;
+                        btn.textContent = '🚀 开始分析';
+                        
+                        // Show results
+                        resultsCard.classList.add('active');
+                        
+                        if (data.result) {
+                            // Decision
+                            const decision = data.result.final_decision || 'HOLD';
+                            const decEl = document.getElementById('decisionValue');
+                            decEl.textContent = decision;
+                            decEl.className = 'decision-value ' + 
+                                (decision.includes('BUY') ? 'decision-buy' : 
+                                 decision.includes('SELL') ? 'decision-sell' : 'decision-hold');
+                            
+                            // Reports
+                            const reports = data.result.reports || {};
+                            document.getElementById('techReport').textContent = reports.technical || '无数据';
+                            document.getElementById('sentimentReport').textContent = reports.sentiment || '无数据';
+                            document.getElementById('newsReport').textContent = reports.news || '无数据';
+                            document.getElementById('debateReport').textContent = reports.debate || '无数据';
+                            document.getElementById('riskReport').textContent = reports.risk || '无数据';
+                        }
+                        
+                        logBox.innerHTML += '<br><span class="success">✅ 分析完成！</span>';
+                        return;
+                    }
+                    
+                    if (data.status === 'failed') {
+                        btn.disabled = false;
+                        btn.textContent = '🚀 开始分析';
+                        logBox.innerHTML += `<br><span class="error">❌ 分析失败: ${data.error}</span>`;
+                        return;
+                    }
+                    
+                } catch(err) {
+                    logBox.innerHTML += `<br><span class="error">❌ 状态查询失败: ${err.message}</span>`;
+                }
+            }
+            
+            btn.disabled = false;
+            btn.textContent = '🚀 开始分析';
+            logBox.innerHTML += '<br><span class="error">❌ 分析超时</span>';
+        }
+    </script>
+</body>
+</html>
+"""
+
+
+@app.route('/')
+def index():
+    default_date = datetime.now().strftime('%Y-%m-%d')
+    return render_template_string(HTML_TEMPLATE, default_date=default_date)
+
+
+@app.route('/api/analyze', methods=['POST'])
+def analyze():
+    data = request.json
+    ticker = data.get('ticker', '').strip()
+    date = data.get('date', datetime.now().strftime('%Y-%m-%d'))
+    
+    if not ticker:
+        return jsonify({'error': '请输入股票代码'}), 400
+    
+    task_id = str(uuid.uuid4())[:8]
+    tasks[task_id] = {
+        'status': 'running',
+        'ticker': ticker,
+        'date': date,
+        'logs': ['⏳ 初始化分析...'],
+        'result': None,
+        'error': None,
+        'started_at': datetime.now().isoformat()
+    }
+    
+    # 在后台线程运行分析
+    thread = threading.Thread(target=run_analysis, args=(task_id, ticker, date))
+    thread.daemon = True
+    thread.start()
+    
+    return jsonify({'task_id': task_id, 'status': 'running'})
+
+
+@app.route('/api/status/<task_id>')
+def task_status(task_id):
+    task = tasks.get(task_id)
+    if not task:
+        return jsonify({'error': '任务不存在'}), 404
+    return jsonify(task)
+
+
+def run_analysis(task_id, ticker, date):
+    """后台运行TradingAgents分析。"""
+    import sys
+    import io
+    
+    try:
+        task = tasks[task_id]
+        
+        def log(msg):
+            task['logs'].append(msg)
+            # 保持日志不超过50条
+            if len(task['logs']) > 50:
+                task['logs'] = task['logs'][-50:]
+        
+        # 设置环境变量
+        os.environ['OPENAI_COMPATIBLE_API_KEY'] = 'tp-ce6eaqg1gh1uev46i4oexh4sahloyfo2hfpxuc2n9m7yl9dd'
+        os.environ['FRED_API_KEY'] = '825283926dd016ea66e96cc919e047da'
+        os.environ['ALPHA_VANTAGE_API_KEY'] = 'W5PTA2J5OB16W02L'
+        
+        log(f'📊 开始分析 {ticker} ({date})')
+        log(f'🤖 模型: MiMo-v2.5-pro')
+        log(f'🌐 数据源: Alpha Vantage + SSH中转代理')
+        
+        from tradingagents.graph.trading_graph import TradingAgentsGraph
+        from tradingagents.default_config import DEFAULT_CONFIG
+        
+        config = DEFAULT_CONFIG.copy()
+        config['llm_provider'] = 'openai_compatible'
+        config['backend_url'] = 'https://token-plan-cn.xiaomimimo.com/v1'
+        config['deep_think_llm'] = 'mimo-v2.5-pro'
+        config['quick_think_llm'] = 'mimo-v2.5-pro'
+        config['max_debate_rounds'] = 1
+        config['max_risk_discuss_rounds'] = 1
+        
+        # 配置数据源：Yahoo Finance优先，Alpha Vantage作为备选
+        config['data_vendors'] = {
+            'core_stock_apis': 'yfinance,alpha_vantage',
+            'technical_indicators': 'yfinance,alpha_vantage',
+            'fundamental_data': 'yfinance,alpha_vantage',
+            'news_data': 'yfinance,alpha_vantage',
+            'macro_data': 'fred',
+            'prediction_markets': 'polymarket',
+        }
+        
+        log('🔧 配置完成，启动分析引擎...')
+        log('⏳ 分析通常需要3-8分钟，请耐心等待...')
+        
+        # 捕获stdout输出以获取实时进度
+        class LogCapture:
+            def __init__(self, task):
+                self.task = task
+                self.buffer = ''
+            def write(self, text):
+                self.buffer += text
+                if '\n' in self.buffer:
+                    lines = self.buffer.split('\n')
+                    self.buffer = lines[-1]
+                    for line in lines[:-1]:
+                        line = line.strip()
+                        if line and len(line) > 5:
+                            # 只保留有意义的输出
+                            if any(k in line for k in ['Tool', 'Message', 'Agent', 'failed', 'error', '✅', '❌', '📊', '📈', '💭', '📰', '🔬', '⚠️']):
+                                self.task['logs'].append(f'📋 {line[:100]}')
+                                if len(self.task['logs']) > 50:
+                                    self.task['logs'] = self.task['logs'][-50:]
+            def flush(self):
+                pass
+        
+        # 临时捕获输出
+        old_stdout = sys.stdout
+        sys.stdout = LogCapture(task)
+        
+        try:
+            ta = TradingAgentsGraph(debug=True, config=config)
+            
+            log('📈 技术分析师开始工作...')
+            state, decision = ta.propagate(ticker, date)
+        finally:
+            sys.stdout = old_stdout
+        
+        log(f'✅ 分析完成: {decision}')
+        
+        # 提取各Agent的报告
+        reports = {}
+        
+        # 从state中提取各阶段报告
+        if 'market_report' in state:
+            reports['technical'] = state['market_report'][:2000]
+        if 'sentiment_report' in state:
+            reports['sentiment'] = state['sentiment_report'][:2000]
+        if 'news_report' in state:
+            reports['news'] = state['news_report'][:2000]
+        if 'investment_debate_state' in state:
+            debate = state['investment_debate_state']
+            if isinstance(debate, dict):
+                reports['debate'] = str(debate.get('judge_decision', ''))[:2000]
+            else:
+                reports['debate'] = str(debate)[:2000]
+        if 'risk_debate_state' in state:
+            risk = state['risk_debate_state']
+            if isinstance(risk, dict):
+                reports['risk'] = str(risk.get('judge_decision', ''))[:2000]
+            else:
+                reports['risk'] = str(risk)[:2000]
+        
+        task['status'] = 'completed'
+        task['result'] = {
+            'final_decision': decision,
+            'reports': reports
+        }
+        task['logs'].append(f'✅ 最终决策: {decision}')
+        
+    except Exception as e:
+        task = tasks.get(task_id)
+        if task:
+            task['status'] = 'failed'
+            task['error'] = str(e)
+            task['logs'].append(f'❌ 错误: {str(e)}')
+
+
+if __name__ == '__main__':
+    app.run(host='0.0.0.0', port=8890, debug=False)