diff --git a/api/api_v1/endpoints/xquery.py b/api/api_v1/endpoints/xquery.py
index bbc3f9d..e1dcf05 100644
--- a/api/api_v1/endpoints/xquery.py
+++ b/api/api_v1/endpoints/xquery.py
@@ -51,7 +51,7 @@ async def ltv_model_sql(
     res = analysis.ltv_model_sql()
     sql = res['sql']
     quota = res['quota']
-    ltv_len = res['ltv_len']
+    ltv_n = res['ltv_n']
     df = await ckdb.query_dataframe(sql)
     if df.empty:
         return schemas.Msg(code=-1, msg='查无数据')
@@ -60,9 +60,9 @@ async def ltv_model_sql(
         df.loc[len(df)] = 0
         df.loc[len(df) - 1, 'date'] = d
         days = (pd.Timestamp.now().date() - d).days
-        if days + 2 >= ltv_len:
-            continue
-        df.loc[len(df) - 1, f'LTV{days + 2}':] = '-'
+        # if days + 2 >= ltv_len:
+        #     continue
+        df.iloc[len(df) - 1, days+3:] = '-'
     df.sort_values('date', inplace=True)
 
     df.rename(columns={'date': '注册日期'}, inplace=True)
@@ -71,10 +71,10 @@ async def ltv_model_sql(
         cat = '设备数'
     df.rename(columns={'cnt1': cat}, inplace=True)
 
-    df1 = df[['注册日期', cat, *[f'LTV{i}' for i in range(1, ltv_len + 1)]]]
-    df2 = df[['注册日期', cat, *[f'sumpay_{i}' for i in range(1, ltv_len + 1)]]]
+    df1 = df[['注册日期', cat, *[f'LTV{i}' for i in ltv_n]]]
+    df2 = df[['注册日期', cat, *[f'sumpay_{i}' for i in ltv_n]]]
     df2.replace('-', 0, inplace=True)
-    avg_ltv = (df2[[f'sumpay_{i}' for i in range(1, ltv_len + 1)]].sum() / df2[cat].sum()).round(2)
+    avg_ltv = (df2[[f'sumpay_{i}' for i in ltv_n]].sum() / df2[cat].sum()).round(2)
     df1.loc[len(df1)] = ['均值', df2[cat].sum(), *avg_ltv]
     df1.insert(2, '累计LTV', 0)
     last_ltv = []
diff --git a/models/x_analysis.py b/models/x_analysis.py
index 56c445d..63a1c0b 100644
--- a/models/x_analysis.py
+++ b/models/x_analysis.py
@@ -131,7 +131,9 @@ class XAnalysis:
         select_ltv = []
         sumpay = []
         sum_money = []
-        for i in range(1, days + 2):
+        # for i in range(1, days + 2):
+        ltv_n = [*[k for k in range(1, 31)], 45, 60, 90, 120, 180, 240, 300, 360]
+        for i in ltv_n:
             # select_ltv.append(func.round(sa.Column(f'sumpay_{i}') / sa.Column('cnt1'), 2).label(f'LTV{i}'))
             select_ltv.append(
                 f"if(dateDiff('day', reg.date, now())<{i - 1}, '-',toString(round(sumpay_{i} / cnt1, 2))) AS LTV{i}")
@@ -194,5 +196,5 @@ class XAnalysis:
                 'start_date': self.event_view['startTime'][:10],
                 'end_date': self.event_view['endTime'][:10],
                 'date_range': self.date_range,
-                'ltv_len': days + 1
+                'ltv_n': ltv_n
                 }