Revert chan to the most valuable one

ChanKLC.py

@@ -31,10 +31,6 @@ class ChanKLC():
         self.rsi = klu.rsi
         self.volume_ratio = klu.volume_ratio
         self.macdhist = 0
-        
-        # === 新增：KLC类型 ===
-        self.klc_type = None  # KLC类型：大阳线、大阴线、小阳线、小阴线
-        
     def set_klc_fx_type(self, klc_fx_type):
         #print(self.start_time, klc_fx_type, self.get_feature_data()['klu_macd'], self.get_feature_data()['klu_macdhist'], self.get_feature_data()['klu_rsi'])
         self.klc_fx_type = klc_fx_type
@@ -53,13 +49,7 @@ class ChanKLC():
         self.volume_ratio = self.volume_ratio / len(self.klus)
         self.volume = self.volume / len(self.klus)
         self.macdhist = self.macdhist / len(self.klus)
-    def contain_klu_fx(self):
+   
-        if len(self.klus) > 0:
-            for klu in self.klus:
-                klu.update_realtime_analysis()
-                if klu.fx_type == self.fx and klu.fx_strength > 1.8:
-                    return True
-        return False
     def set_next(self, klc):
         self.next = klc
     def set_pre(self, klc):
@@ -1157,78 +1147,6 @@ class ChanKLC():
         
         return features
 
-    def check_fx_klu_strength(self):
-        if self.pre and self.next and self.next.end_klu:
-            strength = 0
-            klc1 = self.pre
-            klc2 = self
-            klc3 = self.next
-            # 检查包含关系
-            inc = self.check_include_relation(klc1, klc2, klc3)
-            if not inc:
-                # 检查分型类型
-                if self.fx == Chan_FX_TYPE.TOP:
-                    # (1)没有包含关系+1
-                    strength += 0
-                    print(self.start_time, "1")
-                    # (2)第1条K线是一条大阳线，而第2、3条K线是小阴线、小阳线，那么这个分型结构的意义就不大了，强度 -1
-                    if self.pre.cal_klu_min_max() > 0.5 and self.cal_klu_min_max() < 0.2 and self.next.cal_klu_min_max() < 0.2:
-                        strength += -1
-                        print(self.start_time, "2")
-                    # (3)第2条K线有长上影线或者就是大阴线，而第3条K线不能以阳线收在第2条K线区间的一半之上，那么该顶分型的力度就比较大
-                    if ((self.close < self.open and self.cal_klu_min_max() > 0.5) or self.cal_klu_upper_shadow() > 0.6) and not (self.next.close > self.next.open and self.next.close > (self.high-self.low)/2):
-                        strength += 1
-                        print(self.start_time, "3")
-            else:
-                if self.fx == Chan_FX_TYPE.TOP:
-                    # (4)第2条K线和第3条K线为包含关系，而第3条K线为大阴线(直接把为阳线的第2条K线“吃掉”)，这是最坏的一种包含关系。
-                    if self.start_klu.index - self.end_klu.index < 0:
-                        klu1 = self.start_klu
-                        klu2 = self.klus[1]
-                        print(self.start_time, self.end_time, "length: ", len(self.klus), klu1.index, klu2.index)
-                        if klu2.close < klu2.open and 100*abs(klu2.open - klu2.close) / klu2.open > 0.5 and klu1.high <= klu2.high and klu1.low >= klu2.low:
-                            strength += 1
-                            print(self.start_time, "4")
-                    # (5)第3条K线如果跌破第1条K线的底而且不能高于第1条K线区间的一半之上，则属于较弱的一种，也就是说这种顶分型出现后股价见顶的可能性不大。
-                    if self.next.low < self.pre.low and self.next.high < (self.pre.high + self.pre.low)/2:
-                        strength += -1
-                        print(self.start_time, "5")
-            return strength
-        else:
-            return 0
-    def cal_klu_upper_shadow(self):
-        """
-        计算KLC的上影线长度
-        上影线 = 最高价 - max(开盘价, 收盘价)
-        """
-        if self.high <= 0:  # 避免无效数据
-            return 0
-            
-        # 计算上影线长度
-        upper_shadow = self.high - max(self.open, self.close)
-        
-        # 计算相对上影线长度（相对于整个K线区间）
-        total_range = self.high - self.low
-        if total_range > 0:
-            upper_shadow_ratio = upper_shadow / total_range
-        else:
-            upper_shadow_ratio = 0
-            
-        return upper_shadow_ratio
-    def cal_klu_min_max(self):
-        """
-        计算KLC类型：大阳线、大阴线、小阳线、小阴线
-        """
-        if self.open <= 0:  # 避免除零错误
-            return 0
-        line_type = 1000*abs(self.open - self.close) / self.open
-        print(self.start_time, line_type)
-        return line_type
-    def check_include_relation(self, klc1, klc2, klc3):
-        if klc1.start_klu.index - klc1.end_klu.index == 0 and klc2.start_klu.index - klc2.end_klu.index == 0 and klc3.start_klu.index - klc3.end_klu.index == 0:
-            return False
-        else:
-            return True
     def cal_fx_strength(self):
         """
         用self.pre和self.next实现分型强弱判断
@@ -1246,12 +1164,11 @@ class ChanKLC():
         -2: 弱分型（明显中继）
         -3: 极弱分型（无效分型）
         """
-        #return self.check_fx_klu_strength()
         # 检查是否为分型，且有前后K线数据
-        if self.fx == Chan_FX_TYPE.UNKNOWN or self.klc_fx_type == Chan_FX_TYPE.UNKNOWN:
+        if self.fx == Chan_FX_TYPE.UNKNOWN:
             return 0
         if not self.pre or not self.next:
-            return -100
+            return 100
         # === 核心判断：分型在笔中的位置 ===
         
         # 1. 检查这个分型是否能够终结当前笔
@@ -1283,7 +1200,6 @@ class ChanKLC():
         
         # 分型质量调整
         base_score += fx_quality
-        #base_score += self.check_fx_klu_strength()
         #print(self.start_time, base_score, is_bi_end, post_fx_confirmation, fx_quality)
         # 限制在-3到3范围内
         return max(-3, min(3, base_score))
@@ -1334,7 +1250,7 @@ class ChanKLC():
         first_low = self.pre.low
         middle_low = self.low
         key_support = min(first_low, middle_low)
-        last_klc = None
+        
         for i, klc in enumerate(subsequent_klcs):
             # 检查是否跌破关键支撑
             if klc.low < key_support:
@@ -1347,8 +1263,7 @@ class ChanKLC():
             # 检查下跌趋势
             if i > 0 and klc.close < subsequent_klcs[i-1].close:
                 downward_trend += 1
-            last_klc = klc
+        
-        print(last_klc.start_time, last_klc.end_time)
         # 强烈笔终结：跌破关键位且无新高
         if broken_key_levels >= 1 and new_highs == 0 and downward_trend >= 2:
             return 2
@@ -1381,7 +1296,7 @@ class ChanKLC():
         first_high = self.pre.high
         middle_high = self.high
         key_resistance = max(first_high, middle_high)
-        last_klc = None
+        
         for i, klc in enumerate(subsequent_klcs):
             # 检查是否突破关键阻力
             if klc.high > key_resistance:
@@ -1394,8 +1309,7 @@ class ChanKLC():
             # 检查上涨趋势
             if i > 0 and klc.close > subsequent_klcs[i-1].close:
                 upward_trend += 1
-            last_klc = klc
+        
-        print(last_klc.start_time, last_klc.end_time)
         # 强烈笔终结：突破关键位且无新低
         if broken_key_levels >= 1 and new_lows == 0 and upward_trend >= 2:
             return 2

ChanLun.py

@@ -67,12 +67,12 @@ class ChanLun():
 			else:
 				print(bi.start_klc.end_time, bi.dir, bi.is_sure)
 	def check_fx(self, klc):
-		if klc.pre and klc.next and klc.next.end_klu:
+		if klc.pre and klc.next:
 			if klc.high > klc.pre.high and klc.high > klc.next.high:
 				klc.set_fx(Chan_FX_TYPE.TOP)
 				#print(klc.start_time, klc.end_time,klc.next.start_time, klc.next.end_time,klc.fx, "TOP")
 				return Chan_FX_TYPE.TOP
-		if klc.pre and klc.next and klc.next.end_klu:
+		if klc.pre and klc.next:
 			if klc.low < klc.pre.low and klc.low < klc.next.low:
 				klc.set_fx(Chan_FX_TYPE.BOTTOM)
 				#print(klc.start_time, klc.end_time,klc.next.start_time, klc.next.end_time,klc.fx, "BOTTOM")
@@ -149,9 +149,9 @@ class ChanLun():
 			klc = klc_list[klc_index]
 			if klc.end_klu and klc.end_klu.idx == index:
 				klc_index += 1
-				if (klc.klc_fx_type == Chan_KLC_FX.TOP1 or klc.klc_fx_type == Chan_KLC_FX.TOP2) and klc.contain_klu_fx():
+				if klc.klc_fx_type == Chan_KLC_FX.TOP1 or klc.klc_fx_type == Chan_KLC_FX.TOP2:
 					fx_list.append(1)
-				elif (klc.klc_fx_type == Chan_KLC_FX.BOTTOM1 or klc.klc_fx_type == Chan_KLC_FX.BOTTOM2) and klc.contain_klu_fx():
+				elif klc.klc_fx_type == Chan_KLC_FX.BOTTOM1 or klc.klc_fx_type == Chan_KLC_FX.BOTTOM2:
 					fx_list.append(-1)
 				else:
 					fx_list.append(0)
@@ -235,7 +235,6 @@ class ChanLun():
 	def get_kl_data(self, dataframe:DataFrame):
 		fields = "time,open,high,low,close,volume"
 		klu_list = []
-		last_klu = None
 		for i in range(0, len(dataframe)):
 			item = dataframe.iloc[i]
 			date = item['date']
@@ -259,13 +258,8 @@ class ChanLun():
 			klu = ChanKLU(time_str, o, h, l, c, v)
 			klu.set_idx(i)
 			klu_list.append(klu)
-			if last_klu:
-				klu.set_pre(last_klu)
-				last_klu.set_next(klu)
-				last_klu.detect_realtime_fx()
 			if 'macd' in item:
 				klu.set_indicators(item)
-			last_klu = klu
 		return klu_list
 	def cal_volume_ratio(self, dataframe, window=10):
 		df = dataframe.copy()
@@ -697,11 +691,10 @@ class ChanLun():
 								else:
 									# A new top found
 									#last_top.set_fx(Chan_FX_TYPE.UNKNOWN)
-									#print(klc.start_time, last_top.start_time, klc.cal_fx_strength(), "一类卖点Sell 1")
 									last_top = klc
 									#print(klc.start_time, klc.fx, bi_list[-1].dir, "Last Top Change 1")
 									klc.set_klc_fx_type(Chan_KLC_FX.TOP1)
-									
+									#print(klc.start_time, klc.fx, "一类卖点Sell 1")
 									#klc.set_fx(fx)
 									#klc.set_state("10")
 									bi_list[-1].add_klc(klc)
@@ -732,7 +725,6 @@ class ChanLun():
 												#klc.set_state("10")
 												#print(klc.start_time, klc.fx, "笔卖点Sell 1")
 											klc.set_klc_fx_type(Chan_KLC_FX.TOP2)
-											#print(klc.start_time, last_top.start_time, klc.fx, "二类卖点Sell 2")
 											bi_list[-1].add_klc(klc)
 											klc.set_bi(bi_list[-1])
 										else:
@@ -757,7 +749,7 @@ class ChanLun():
 									#klc.set_state('30')
 									bi_list[-1].add_klc(klc)
 									klc.set_bi(bi_list[-1])
-									#print(klc.start_time, last_top.start_time, "Normal TOP Found, Confirm down bi 4")
+									#print(klc.start_time, last_bottom.start_time, "Normal TOP Found, Confirm down bi 4")
 									#print(klc.start_time, klc.fx, "笔卖点Sell 2")
 						# last bottom = None
 						else:
@@ -1222,8 +1214,8 @@ class ChanLun():
 					klc.set_pre(last_klc)
 					last_klc.set_end_klu(last_klu)
 					klc.set_pre_fx()
-				#else:
+				else:
-					#last_klc.add_klu(klu)
+					last_klc.add_klu(klu)
 			else:
 				ddir = Chan_KLINE_DIR.UP
 				if klu.open > klu.close:

strategies/ChanLun_BTC_15.py

@@ -14,23 +14,20 @@ import talib.abstract as ta
 from pandas import DataFrame
 from datetime import datetime, timedelta
 from freqtrade.persistence import Trade
-from typing import Optional, List, Dict
+from typing import Optional
 import logging
 logger = logging.getLogger(__name__)
-from freqtrade.optimize.space import Categorical, Dimension, Integer, SKDecimal
 ### Now you can use logger.info('asfd') to log
 # freqtrade plot-dataframe --strategy ChanLun_BTC_15 --datadir user_data/data/binance -c ./user_data/ChanLun_SOL_15.json --timerange=20250309-
 
 # freqtrade trade -c ./user_data/Chan/config/ChanLun_BTC_15.json --strategy ChanLun_BTC_15 --strategy-path ./user_data/Chan/strategies
-# freqtrade backtesting -c ./user_data/Chan/config/ChanLun_BTC_15.json --strategy ChanLun_BTC_15 --export none --strategy-path ./user_data/Chan/strategies --timerange=20250525-
 # freqtrade backtesting -c ./user_data/Chan/config/ChanLun_BTC_15.json --strategy ChanLun_BTC_15 --strategy-path ./user_data/Chan/strategies --timerange=20250525-
-# freqtrade download-data -c ./user_data/Chan/config/ChanLun_BTC_15.json -t 1m --pairs SOL/USDT:USDT --timerange=20250405-
+# freqtrade download-data -c ./user_data/Chan/config/ChanLun_BTC_15.json -t 1m --pairs BTC/USDT:USDT --timerange=20250405-
-# freqtrade hyperopt --hyperopt-loss SharpeHyperOptLossDaily --spaces stoploss --strategy ChanLun_BTC_15 --strategy-path ./user_data/Chan/strategies -c ./user_data/Chan/config/ChanLun_BTC_15.json -e 200 --timerange=20250201-20250501
+# freqtrade hyperopt --hyperopt-loss SharpeHyperOptLossDaily --spaces roi stoploss --strategy ChanLun_BTC_15 --strategy-path ./user_data/Chan/strategies -c ./user_data/Chan/config/ChanLun_BTC_15.json -e 200 --timerange=20250201-20250401
-# freqtrade live-backtest -c ./user_data/Chan/config/ChanLun_BTC_15.json --strategy ChanLun_BTC_15 --strategy-path ./user_data/Chan/strategies --timerange=20250525-
 
-# sudo docker compose run --rm chanlun_btc backtesting -c ./user_data/Chan/config/ChanLun_BTC_15.json --strategy ChanLun_BTC_15 --strategy-path ./user_data/Chan/strategies --timerange=20250525-
+# sudo docker compose run --rm chan_btc backtesting -c ./user_data/Chan/config/ChanLun_SOL.json --strategy ChanLun_SOL --strategy-path ./user_data/Chan/strategies --timerange=20250101-
-# sudo docker compose run --rm chanlun_btc download-data -c ./user_data/Chan/config/ChanLun_BTC_15.json --pairs BTC/USDT:USDT -t 1m --timerange 20240101-
+# sudo docker compose run --rm chan_btc download-data -c ./user_data/Chan/config/ChanLun_BTC_15.json --pairs BTC/USDT:USDT -t 1m --timerange 20240101-
-# sudo docker compose run --rm chanlun_btc trade -c ./user_data/Chan/config/ChanLun_BTC_15.json --strategy ChanLun_BTC_15 --strategy-path ./user_data/Chan/strategies
+# sudo docker compose run --rm chan_btc trade -c ./user_data/Chan/config/ChanLun_BTC_15.json --strategy ChanLun_BTC_15 --strategy-path ./user_data/Chan/strategies
 
 class ChanLun_BTC_15(IStrategy):
 	INTERFACE_VERSION: int = 3
@@ -38,10 +35,10 @@ class ChanLun_BTC_15(IStrategy):
 	# This attribute will be overridden if the config file contains "minimal_roi"
 	# 30m and 1h
 	minimal_roi = {
-		"0": 0.15,
+		"0": 0.60,
-		"240": 0.1,
+		"360": 0.2,
-		"480": 0.02,
+		"640": 0.1,
-		"960": 0
+		"1200": 0
 	}
 	# 5m and 15m
 	minimal_roi_1 = {
@@ -64,13 +61,14 @@ class ChanLun_BTC_15(IStrategy):
 		"3600": 0
 	}
 	can_short = True
-	lev = 10
+	lev = 50.0
-	stoploss = -0.8
+	stoploss = -0.3
 	trailing_stop = False
 	trailing_stop_positive = 0.025
 	trailing_stop_positive_offset = 0.045
 	trailing_only_offset_is_reached = False
 
+	position_adjustment_enable = True
 	startup_candle_count = 600
 
 	time5 = 5
@@ -173,13 +171,11 @@ class ChanLun_BTC_15(IStrategy):
 	def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
 		state_str = 'resample_{}_state'.format(self.get_ticker_indicator()*self.time5)
 		fx_str = 'resample_{}_fx'.format(self.get_ticker_indicator()*self.time5)
-		#state_str = 'state'
-		#fx_str = 'fx'
 		dataframe.loc[
 			(
 				#(dataframe['state'] == "-30")
-				(dataframe[state_str].shift(self.time5*2) > 0) &
+				(dataframe[state_str].shift(self.time5) > 1.0) &
-				(dataframe[fx_str].shift(self.time5*2) == -1)
+				(dataframe[fx_str].shift(self.time5) == -1)
 				#(dataframe['resample_{}_state'.format(self.get_ticker_indicator()*self.time5)].shift(self.time5) == "-10") &
 				#(dataframe['resample_{}_state'.format(self.get_ticker_indicator()*self.time30)] == "-10") &
 				#(dataframe['resample_{}_state'.format(self.get_ticker_indicator()*self.time5)].shift(self.time5) == "-10")
@@ -189,8 +185,8 @@ class ChanLun_BTC_15(IStrategy):
 		dataframe.loc[
 			(
 				#(dataframe['state'] == "-30")
-				(dataframe[state_str].shift(self.time5*2) > 0) &
+				(dataframe[state_str].shift(self.time5) > 1.0) &
-				(dataframe[fx_str].shift(self.time5*2) == 1)
+				(dataframe[fx_str].shift(self.time5) == 1)
 				#(dataframe['resample_{}_state'.format(self.get_ticker_indicator()*self.time5)].shift(self.time5) == "-10") &
 				#(dataframe['resample_{}_state'.format(self.get_ticker_indicator()*self.time30)] == "-10") &
 				#(dataframe['resample_{}_state'.format(self.get_ticker_indicator()*self.time5)].shift(self.time5) == "-10")
@@ -201,13 +197,11 @@ class ChanLun_BTC_15(IStrategy):
 	def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
 		state_str = 'resample_{}_state'.format(self.get_ticker_indicator()*self.time5)
 		fx_str = 'resample_{}_fx'.format(self.get_ticker_indicator()*self.time5)
-		#state_str = 'state'
-		#fx_str = 'fx'
 		dataframe.loc[
 			(
 				#(dataframe['state']== "30")
-				(dataframe[state_str].shift(self.time5*2) > 0) &
+				(dataframe[state_str].shift(self.time5) > 1.0) &
-				(dataframe[fx_str].shift(self.time5*2) == 1)
+				(dataframe[fx_str].shift(self.time5) == 1)
 				#(dataframe['resample_{}_state'.format(self.get_ticker_indicator()*self.time30)] == "10") &
 				#(dataframe['resample_{}_state'.format(self.get_ticker_indicator()*self.time60)] == "10")
 			),
@@ -215,8 +209,8 @@ class ChanLun_BTC_15(IStrategy):
 		dataframe.loc[
 			(
 				#(dataframe['state']== "30")
-				(dataframe[state_str].shift(self.time5*2) > 0) &
+				(dataframe[state_str].shift(self.time5) > 1.0) &
-				(dataframe[fx_str].shift(self.time5*2) == -1)
+				(dataframe[fx_str].shift(self.time5) == -1)
 				#(dataframe['resample_{}_state'.format(self.get_ticker_indicator()*self.time30)] == "10") &
 				#(dataframe['resample_{}_state'.format(self.get_ticker_indicator()*self.time60)] == "10")
 			),

web/nginx/logs/error.log

@@ -16,3 +16,60 @@
 2025/05/27 01:57:54 [notice] 1#1: start worker process 29
 2025/05/27 01:57:54 [notice] 1#1: start worker process 30
 2025/05/27 01:57:54 [notice] 1#1: start worker process 31
+2025/06/05 02:20:20 [notice] 1#1: signal 3 (SIGQUIT) received, shutting down
+2025/06/05 02:20:20 [notice] 20#20: gracefully shutting down
+2025/06/05 02:20:20 [notice] 20#20: exiting
+2025/06/05 02:20:20 [notice] 21#21: gracefully shutting down
+2025/06/05 02:20:20 [notice] 21#21: exiting
+2025/06/05 02:20:20 [notice] 22#22: gracefully shutting down
+2025/06/05 02:20:20 [notice] 23#23: gracefully shutting down
+2025/06/05 02:20:20 [notice] 23#23: exiting
+2025/06/05 02:20:20 [notice] 29#29: gracefully shutting down
+2025/06/05 02:20:20 [notice] 29#29: exiting
+2025/06/05 02:20:20 [notice] 30#30: gracefully shutting down
+2025/06/05 02:20:20 [notice] 30#30: exiting
+2025/06/05 02:20:20 [notice] 28#28: gracefully shutting down
+2025/06/05 02:20:20 [notice] 28#28: exiting
+2025/06/05 02:20:20 [notice] 31#31: gracefully shutting down
+2025/06/05 02:20:20 [notice] 31#31: exiting
+2025/06/05 02:20:20 [notice] 24#24: gracefully shutting down
+2025/06/05 02:20:20 [notice] 24#24: exiting
+2025/06/05 02:20:20 [notice] 25#25: gracefully shutting down
+2025/06/05 02:20:20 [notice] 25#25: exiting
+2025/06/05 02:20:20 [notice] 27#27: gracefully shutting down
+2025/06/05 02:20:20 [notice] 27#27: exiting
+2025/06/05 02:20:20 [notice] 26#26: gracefully shutting down
+2025/06/05 02:20:20 [notice] 26#26: exiting
+2025/06/05 02:20:20 [notice] 20#20: exit
+2025/06/05 02:20:20 [notice] 21#21: exit
+2025/06/05 02:20:20 [notice] 22#22: exiting
+2025/06/05 02:20:20 [notice] 23#23: exit
+2025/06/05 02:20:20 [notice] 29#29: exit
+2025/06/05 02:20:20 [notice] 30#30: exit
+2025/06/05 02:20:20 [notice] 28#28: exit
+2025/06/05 02:20:20 [notice] 31#31: exit
+2025/06/05 02:20:20 [notice] 24#24: exit
+2025/06/05 02:20:20 [notice] 25#25: exit
+2025/06/05 02:20:20 [notice] 27#27: exit
+2025/06/05 02:20:20 [notice] 26#26: exit
+2025/06/05 02:20:20 [notice] 22#22: exit
+2025/06/05 02:20:20 [notice] 1#1: signal 17 (SIGCHLD) received from 25
+2025/06/05 02:20:20 [notice] 1#1: worker process 21 exited with code 0
+2025/06/05 02:20:20 [notice] 1#1: worker process 22 exited with code 0
+2025/06/05 02:20:20 [notice] 1#1: worker process 24 exited with code 0
+2025/06/05 02:20:20 [notice] 1#1: worker process 25 exited with code 0
+2025/06/05 02:20:20 [notice] 1#1: worker process 26 exited with code 0
+2025/06/05 02:20:20 [notice] 1#1: worker process 29 exited with code 0
+2025/06/05 02:20:20 [notice] 1#1: worker process 31 exited with code 0
+2025/06/05 02:20:20 [notice] 1#1: signal 29 (SIGIO) received
+2025/06/05 02:20:20 [notice] 1#1: signal 17 (SIGCHLD) received from 24
+2025/06/05 02:20:20 [notice] 1#1: signal 17 (SIGCHLD) received from 27
+2025/06/05 02:20:20 [notice] 1#1: worker process 27 exited with code 0
+2025/06/05 02:20:20 [notice] 1#1: worker process 28 exited with code 0
+2025/06/05 02:20:20 [notice] 1#1: signal 29 (SIGIO) received
+2025/06/05 02:20:20 [notice] 1#1: signal 17 (SIGCHLD) received from 28
+2025/06/05 02:20:20 [notice] 1#1: signal 17 (SIGCHLD) received from 20
+2025/06/05 02:20:20 [notice] 1#1: worker process 20 exited with code 0
+2025/06/05 02:20:20 [notice] 1#1: worker process 23 exited with code 0
+2025/06/05 02:20:20 [notice] 1#1: worker process 30 exited with code 0
+2025/06/05 02:20:20 [notice] 1#1: exit