fix: MA排序bug(用日期代替价格)+量价历史存储+deep_vol接入full_analysis+DB路径统一

multi_timeframe.py

@@ -223,8 +223,18 @@ def calc_moving_averages(klines: list, windows: list = [5, 10, 20, 60]) -> dict:
 
     # 确保按时间正序（旧的在前）
     closes = [k["close"] for k in klines]
-    # 检查是否倒序（最新的在前）
-    if len(closes) >= 2 and closes[0] > closes[-1]:
+    # 使用日期判断顺序（不能用价格：下跌趋势下closes[0]>closes[-1]也会触发反转）
+    is_reversed = False
+    if len(klines) >= 2:
+        d0 = klines[0].get("date", "")
+        d1 = klines[-1].get("date", "")
+        if d0 and d1:
+            from datetime import datetime
+            try:
+                is_reversed = datetime.strptime(d0, "%Y-%m-%d") > datetime.strptime(d1, "%Y-%m-%d")
+            except:
+                is_reversed = (closes[0] > closes[-1] * 1.5) if len(closes) >= 2 else False
+    if is_reversed:
         closes = list(reversed(closes))
 
     result = {}
@@ -314,8 +324,18 @@ def assess_trend(klines: list) -> dict:
         return {"trend": "unknown", "strength": 0, "description": "数据不足"}
 
     closes = [k["close"] for k in klines]
-    # 确保正序
-    if len(closes) >= 2 and closes[0] > closes[-1]:
+    # 确保正序（使用日期不用价格，避免下跌趋势中错误反转）
+    is_reversed = False
+    if len(klines) >= 2:
+        d0 = klines[0].get("date", "")
+        d1 = klines[-1].get("date", "")
+        if d0 and d1:
+            from datetime import datetime
+            try:
+                is_reversed = datetime.strptime(d0, "%Y-%m-%d") > datetime.strptime(d1, "%Y-%m-%d")
+            except:
+                is_reversed = (closes[0] > closes[-1] * 1.5) if len(closes) >= 2 else False
+    if is_reversed:
         closes = list(reversed(closes))
 
     n = len(closes)