feat: 全面SSH中转代理 + mimo-v2.5-pro支持

- Yahoo Finance: 跳过本地限流，直接走SSH中转
- StockTwits: 直连403时自动fallback到SSH中转
- Reddit: 网络不可达时自动fallback到SSH中转
- Polymarket: 网络不可达时自动fallback到SSH中转
- FRED: 配置API Key (825283926dd016ea66e96cc919e047da)
- .env: 新增FRED_API_KEY和OPENAI_COMPATIBLE_API_KEY
- test_xiaomi.py: 小米mimo-v2.5-pro测试脚本

test_xiaomi.py

@@ -0,0 +1,31 @@
+"""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"
+
+# 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"
+
+# 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/polymarket.py

@@ -13,8 +13,12 @@ import json
 import logging
 from datetime import datetime, timezone
 
+import subprocess
+
 import requests
 
+from .stockstats_utils import _get_ssh_config
+
 logger = logging.getLogger(__name__)
 
 GAMMA_BASE = "https://gamma-api.polymarket.com"
@@ -27,11 +31,28 @@ 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
+    try:
-    )
+        response = requests.get(url, params=params, timeout=REQUEST_TIMEOUT)
         response.raise_for_status()
         return response.json()
+    except requests.RequestException:
+        # Fallback: fetch through SSH proxy
+        logger.info("Polymarket direct failed, trying SSH proxy for %s...", path)
+        query = "&".join(f"{k}={v}" for k, v in params.items())
+        full_url = f"{url}?{query}"
+        host, port, password = _get_ssh_config()
+        cmd = [
+            "sshpass", "-p", password,
+            "ssh", "-o", "StrictHostKeyChecking=no",
+            "-o", "ConnectTimeout=15",
+            "-p", str(port), f"root@{host}",
+            f'curl -s "{full_url}"'
+        ]
+        result = subprocess.run(cmd, capture_output=True, text=True, timeout=REQUEST_TIMEOUT)
+        if result.returncode != 0:
+            raise requests.RequestException(f"SSH proxy failed: {result.stderr}")
+        return json.loads(result.stdout)
 
 
 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__)
 
@@ -123,7 +124,12 @@ 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)
+        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 = []

tradingagents/dataflows/stockstats_utils.py

@@ -321,33 +321,17 @@ def load_ohlcv(symbol: str, curr_date: str) -> pd.DataFrame:
         if use_alpha_vantage:
             downloaded = _load_ohlcv_alpha_vantage(symbol, curr_date)
         else:
-            downloaded = None
+            # Skip local Yahoo Finance, go directly through SSH proxy
-            try:
+            logger.info(f"Yahoo Finance: fetching {canonical} via SSH proxy...")
-                raw = yf_retry(lambda: yf.download(
-                    canonical,
-                    start=start_str,
-                    end=end_str,
-                    multi_level_index=False,
-                    progress=False,
-                    auto_adjust=True,
-                ))
-                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}"
+                    symbol, canonical, f"Yahoo Finance proxy failed: {proxy_err}"
                 ) from proxy_err
             if downloaded.empty:
                 raise NoMarketDataError(
-                        symbol, canonical, f"Yahoo Finance proxy also returned no data"
+                    symbol, canonical, f"Yahoo Finance proxy returned no data"
                 )
             if downloaded.empty or "Close" not in downloaded.columns:
                 raise NoMarketDataError(

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__)
 
@@ -54,7 +55,12 @@ 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)
+        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 []

tradingagents/dataflows/y_finance.py

@@ -36,17 +36,13 @@ 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:
-        # Fallback: use SSH proxy via foreign server
-        logger.warning(f"Yahoo Finance local failed for {symbol}, trying SSH proxy...")
     proxy_df = _yf_download_via_proxy(canonical, start_date, end_inclusive)
     if proxy_df.empty:
         raise NoMarketDataError(
-                symbol, canonical, f"no rows between {start_date} and {end_date} (proxy also failed)"
+            symbol, canonical, f"no rows between {start_date} and {end_date} (proxy failed)"
         )
-        # Convert to match expected format
     proxy_df = proxy_df.set_index("Date")
     data = proxy_df