diff --git a/config_examples/config.json b/config_examples/config.json
index 4b836a8b..f7ab9a31 100644
--- a/config_examples/config.json
+++ b/config_examples/config.json
@@ -9,7 +9,7 @@
             "rateLimit": 2000,
             "timeout": 30000
         },
-        "pair_whitelist": ["OKB/USDT", "SOL/USDT"]
+        "pair_whitelist": ["BTC/USDT",  "TON/USDT", "DOT/USDT", "XRP/USDT",  "OKB/USDT", "SOL/USDT", "DOGE/USDT", "WCT/USDT", "TRUMP/USDT", "SUI/USDT", "PEPE/USDT", "TRB/USDT", "MASK/USDT", "UNI/USDT", "KAITO/USDT"]
     },
     "pairlists": [
         {
diff --git a/config_examples/freqaiprimer.json b/config_examples/freqaiprimer.json
index 34b5d061..2f5f375d 100644
--- a/config_examples/freqaiprimer.json
+++ b/config_examples/freqaiprimer.json
@@ -109,7 +109,7 @@
         "model_training_parameters": {
             "n_estimators": 100,
             "learning_rate": 0.05,
-            "num_leaves": 64,
+            "num_leaves": 31,
             "verbose": -1,
             "max_depth": 8
         }
diff --git a/freqtrade/templates/freqaiprimer.py b/freqtrade/templates/freqaiprimer.py
index e87ce567..185948fa 100644
--- a/freqtrade/templates/freqaiprimer.py
+++ b/freqtrade/templates/freqaiprimer.py
@@ -53,7 +53,12 @@ class FreqaiPrimer(IStrategy):
             "verbose": -1,
         },
     }
+    def __init__(self, config: dict, *args, **kwargs):
+        super().__init__(config, *args, **kwargs)
 
+        # 设置日志级别为 DEBUG
+        logger.setLevel(logging.DEBUG)
+        logger.debug("✅ 策略已初始化，日志级别设置为 DEBUG")
     def feature_engineering_expand_all(self, dataframe: DataFrame, period: int, metadata: dict, **kwargs) -> DataFrame:
         # 保留原有指标
         dataframe["%-rsi-period"] = ta.RSI(dataframe, timeperiod=period)
@@ -267,6 +272,6 @@ class FreqaiPrimer(IStrategy):
         stoploss_target = last_candle.get("&-stoploss_target", -0.01)
 
         # 将 stoploss_target 转换为负数（因为 stoploss 是负值）
-        dynamic_stoploss = min(-0.005, stoploss_target)  # 设置最小止损限制
+        dynamic_stoploss = min(-0.005, stoploss_target)  # 设置最小止损限制a
 
         return dynamic_stoploss