From c788f9f93138041eccbbedbb94748d8dc8d9310c Mon Sep 17 00:00:00 2001
From: dw1161 <flyingjoe2010@gmail.com>
Date: Sat, 21 Mar 2026 15:21:47 +0800
Subject: [PATCH] =?UTF-8?q?=F0=9F=A4=96=20=E6=B7=BB=E5=8A=A0=E4=B8=AD?=
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---
 run_analysis.py | 99 +++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 99 insertions(+)
 create mode 100644 run_analysis.py

diff --git a/run_analysis.py b/run_analysis.py
new file mode 100644
index 00000000..ffed320d
--- /dev/null
+++ b/run_analysis.py
@@ -0,0 +1,99 @@
+"""
+TradingAgents 分析脚本
+用途：对持仓标的（NVDA / VOO）进行多 Agent 分析
+用法：
+  python run_analysis.py NVDA        # 分析 NVDA，使用今日日期
+  python run_analysis.py VOO         # 分析 VOO
+  python run_analysis.py NVDA 2025-03-01  # 分析指定日期
+"""
+
+import sys
+import os
+import time
+from datetime import date
+from dotenv import load_dotenv
+
+load_dotenv()
+
+from tradingagents.graph.trading_graph import TradingAgentsGraph
+from tradingagents.default_config import DEFAULT_CONFIG
+
+# ── 配置 ────────────────────────────────────────────────────────────────────
+config = DEFAULT_CONFIG.copy()
+config["llm_provider"] = "google"
+config["deep_think_llm"] = "gemini-2.5-flash"
+config["quick_think_llm"] = "gemini-2.5-flash"
+config["max_debate_rounds"] = 1   # 减少辩论轮次，降低单次请求量
+config["max_risk_discuss_rounds"] = 1
+config["data_vendors"] = {
+    "core_stock_apis": "yfinance",
+    "technical_indicators": "yfinance",
+    "fundamental_data": "yfinance",
+    "news_data": "yfinance",
+}
+
+# ── 入参解析 ─────────────────────────────────────────────────────────────────
+ticker = sys.argv[1].upper() if len(sys.argv) > 1 else "NVDA"
+analysis_date = sys.argv[2] if len(sys.argv) > 2 else str(date.today())
+
+print(f"\n{'='*60}")
+print(f"🤖 TradingAgents 多 Agent 分析")
+print(f"   标的：{ticker}")
+print(f"   日期：{analysis_date}")
+print(f"   模型：Gemini 2.5 Flash")
+print(f"{'='*60}\n")
+
+# ── 执行分析（带 retry）────────────────────────────────────────────────────────
+MAX_RETRIES = 3
+for attempt in range(1, MAX_RETRIES + 1):
+    try:
+        print(f"[尝试 {attempt}/{MAX_RETRIES}]")
+        ta = TradingAgentsGraph(
+            selected_analysts=["market", "social", "news", "fundamentals"],
+            debug=False,
+            config=config,
+        )
+        final_state, decision = ta.propagate(ticker, analysis_date)
+        break  # 成功则退出重试
+    except Exception as e:
+        print(f"⚠️  第 {attempt} 次失败: {type(e).__name__}: {str(e)[:120]}")
+        if attempt < MAX_RETRIES:
+            wait = 10 * attempt
+            print(f"   等待 {wait}s 后重试...")
+            time.sleep(wait)
+        else:
+            print("❌ 全部重试失败，退出。")
+            sys.exit(1)
+
+# ── 输出结果 ──────────────────────────────────────────────────────────────────
+print(f"\n{'='*60}")
+print(f"📊 {ticker} 最终决策（{analysis_date}）：{decision}")
+print(f"{'='*60}\n")
+
+# 保存完整报告
+output_dir = os.path.join(os.path.dirname(__file__), "results")
+os.makedirs(output_dir, exist_ok=True)
+output_file = os.path.join(output_dir, f"{ticker}_{analysis_date}.txt")
+
+with open(output_file, "w", encoding="utf-8") as f:
+    f.write(f"标的：{ticker}\n日期：{analysis_date}\n最终决策：{decision}\n\n")
+    f.write("="*60 + "\n")
+
+    f.write("【交易员决策报告】\n")
+    f.write(str(final_state.get("trader_investment_plan", "N/A")))
+    f.write("\n\n" + "="*60 + "\n")
+
+    debate = final_state.get("investment_debate_state", {})
+    f.write("【多空辩论结论】\n")
+    f.write(str(debate.get("judge_decision", "N/A")))
+    f.write("\n\n" + "="*60 + "\n")
+
+    risk = final_state.get("risk_debate_state", {})
+    f.write("【风控审核结论】\n")
+    f.write(str(risk.get("judge_decision", "N/A")))
+    f.write("\n\n" + "="*60 + "\n")
+
+    f.write("【最终决策原文】\n")
+    f.write(str(final_state.get("final_trade_decision", "N/A")))
+
+print(f"✅ 完整报告已保存：{output_file}")