From 47c523852fcbddbbda3e388df6d71e62232c9c2e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E5=B0=8F=E9=92=B0?= <xiaoyu@openclaw.local>
Date: Wed, 8 Jul 2026 17:21:33 +0800
Subject: [PATCH] =?UTF-8?q?fix:=20=E7=BC=93=E5=AD=98=E5=8A=A0=E8=BD=BD?=
 =?UTF-8?q?=E5=90=8EDate=E5=88=97=E8=BD=ACdatetime=EF=BC=8C=E4=BF=AE?=
 =?UTF-8?q?=E5=A4=8D=E7=B1=BB=E5=9E=8B=E6=AF=94=E8=BE=83=E9=94=99=E8=AF=AF?=
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从CSV缓存加载时Date列是字符串，需要转为datetime才能与Timestamp比较
---
 tradingagents/dataflows/stockstats_utils.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/tradingagents/dataflows/stockstats_utils.py b/tradingagents/dataflows/stockstats_utils.py
index 018e77b..379d212 100644
--- a/tradingagents/dataflows/stockstats_utils.py
+++ b/tradingagents/dataflows/stockstats_utils.py
@@ -296,6 +296,10 @@ 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: