diff --git a/tick_record_veighna.py b/2.数据下载与处理/tick_record.py
similarity index 85%
rename from tick_record_veighna.py
rename to 2.数据下载与处理/tick_record.py
index c13c5cf..c198e6b 100644
--- a/tick_record_veighna.py
+++ b/2.数据下载与处理/tick_record.py
@@ -24,19 +24,19 @@ from vnpy_datarecorder.engine import EVENT_RECORDER_LOG
 
 # 开启日志记录功能
 # 日志对于排查问题和监控系统运行状态非常重要
-SETTINGS["log.active"] = True  # 激活日志功能
-SETTINGS["log.level"] = INFO  # 设置日志级别为INFO，输出详细信息
-SETTINGS["log.console"] = True  # 在控制台显示日志，方便实时查看
+SETTINGS["log.active"] = True       # 激活日志功能
+SETTINGS["log.level"] = INFO        # 设置日志级别为INFO，输出详细信息
+SETTINGS["log.console"] = True      # 在控制台显示日志，方便实时查看
 
 
 # CTP接口登录信息
 # 以下使用的是SimNow模拟账户信息，初学者可以在SimNow官网申请
 ctp_setting: dict[str, str] = {
-    "用户名": "209534",  # SimNow账户名
-    "密码": "Vnpy@123456",  # SimNow密码
+    "用户名": "135858",  # SimNow账户名
+    "密码": "Zj1234!@#%",  # SimNow密码
     "经纪商代码": "9999",  # SimNow经纪商代码固定为9999
-    "交易服务器": "180.168.146.187:10201",  # SimNow交易服务器地址和端口
-    "行情服务器": "180.168.146.187:10211",  # SimNow行情服务器地址和端口
+    "交易服务器": "180.168.146.187:10130",  # SimNow交易服务器地址和端口
+    "行情服务器": "180.168.146.187:10131",  # SimNow行情服务器地址和端口
     "产品名称": "simnow_client_test",  # 产品名称，用于区分不同的客户端
     "授权编码": "0000000000000000",  # 授权编码，SimNow模拟账户使用默认值即可
 }
@@ -45,11 +45,11 @@ ctp_setting: dict[str, str] = {
 # 要录制数据的交易所列表
 # 可以根据需要取消注释来添加更多交易所
 recording_exchanges: list[Exchange] = [
-    Exchange.CFFEX,  # 中国金融期货交易所
+    # Exchange.CFFEX,          # 中国金融期货交易所
     # Exchange.SHFE,         # 上海期货交易所
     # Exchange.DCE,          # 大连商品交易所
     # Exchange.CZCE,         # 郑州商品交易所
-    # Exchange.GFEX,         # 广州期货交易所
+    Exchange.GFEX,         # 广州期货交易所
     # Exchange.INE,          # 上海国际能源交易中心
 ]
 
@@ -57,7 +57,7 @@ recording_exchanges: list[Exchange] = [
 # 要录制数据的品种类型
 # 可以根据需要取消注释来添加更多品种
 recording_products: list[Product] = [
-    Product.FUTURES,  # 期货品种
+    Product.FUTURES,        # 期货品种
     # Product.OPTION,       # 期权品种
 ]
 
@@ -100,10 +100,8 @@ def run_recorder() -> None:
 
         # 判断合约是否符合录制条件
         if (
-            contract.exchange
-            in recording_exchanges  # 检查合约所属交易所是否在预设列表中
-            and contract.product
-            in recording_products  # 检查合约品种类型是否在预设列表中
+            contract.exchange in recording_exchanges    # 检查合约所属交易所是否在预设列表中
+            and contract.product in recording_products  # 检查合约品种类型是否在预设列表中
         ):
             # 添加该合约的行情录制任务，vt_symbol是VeighNa中的唯一标识符，格式为"代码.交易所"
             recorder_engine.add_tick_recording(contract.vt_symbol)
@@ -144,4 +142,4 @@ def run_recorder() -> None:
 
 # Python程序的标准入口写法，直接运行此脚本时会执行run_recorder函数
 if __name__ == "__main__":
-    run_recorder()
+    run_recorder()
\ No newline at end of file
diff --git a/2.数据下载与处理/tick_record_veighna.py b/2.数据下载与处理/tick_record_veighna.py
new file mode 100644
index 0000000..94e0bdb
--- /dev/null
+++ b/2.数据下载与处理/tick_record_veighna.py
@@ -0,0 +1,184 @@
+"""
+该程序使用VeighNa框架通过CTP接口连接到期货市场，并自动录制指定交易所和品种的行情数据。
+
+适合初学者了解VeighNa框架的基本用法和数据录制流程。
+"""
+
+# 加载Python标准库
+from logging import INFO
+from time import sleep
+
+# 加载VeighNa核心框架
+from vnpy.event import EventEngine, Event
+from vnpy.trader.setting import SETTINGS
+from vnpy.trader.engine import MainEngine, LogEngine
+from vnpy.trader.object import ContractData
+from vnpy.trader.constant import Exchange, Product
+from vnpy.trader.event import EVENT_CONTRACT
+# import pandas as pd
+
+# 加载VeighNa插件模块,ctp和TTS平台不能同时选择，否则会报4097错误
+# from vnpy_ctp import CtpGateway
+from vnpy_datarecorder import DataRecorderApp, RecorderEngine
+from vnpy_datarecorder.engine import EVENT_RECORDER_LOG
+from vnpy_tts import TtsGateway
+
+# 开启日志记录功能
+# 日志对于排查问题和监控系统运行状态非常重要
+SETTINGS["log.active"] = True  # 激活日志功能
+SETTINGS["log.level"] = INFO  # 设置日志级别为INFO，输出详细信息
+SETTINGS["log.console"] = True  # 在控制台显示日志，方便实时查看
+
+
+# CTP接口登录信息
+# 以下使用的是SimNow模拟账户信息，初学者可以在SimNow官网申请
+# SIMULATE_SERVER = {
+#     '电信1': {'BrokerID': 9999, 'TDServer': "180.168.146.187:10201", 'MDServer': '180.168.146.187:10211', 'AppID': 'simnow_client_test', 'AuthCode': '0000000000000000'},
+#     '电信2': {'BrokerID': 9999, 'TDServer': "180.168.146.187:10202", 'MDServer': '180.168.146.187:10212', 'AppID': 'simnow_client_test', 'AuthCode': '0000000000000000'},
+#     '移动': {'BrokerID': 9999, 'TDServer': "218.202.237.33:10203", 'MDServer': '218.202.237.33:10213', 'AppID': 'simnow_client_test', 'AuthCode': '0000000000000000'},
+#     'TEST': {'BrokerID': 9999, 'TDServer': "180.168.146.187:10130", 'MDServer': '180.168.146.187:10131', 'AppID': 'simnow_client_test', 'AuthCode': '0000000000000000'},
+#     'N视界': {'BrokerID': 10010, 'TDServer': "210.14.72.12:4600", 'MDServer': '210.14.72.12:4602', 'AppID': '', 'AuthCode': ''},
+# }
+ctp_setting: dict[str, str] = {
+    "用户名": "135858",  # SimNow账户名
+    "密码": "Zj1234!@#%",  # SimNow密码
+    "经纪商代码": "9999",  # SimNow经纪商代码固定为9999
+    "交易服务器": "180.168.146.187:10130",  # SimNow交易服务器地址和端口
+    "行情服务器": "180.168.146.187:10131",  # SimNow行情服务器地址和端口
+    "产品名称": "simnow_client_test",  # 产品名称，用于区分不同的客户端
+    "授权编码": "0000000000000000",  # 授权编码，SimNow模拟账户使用默认值即可
+}
+
+
+# tts_setting: dict[str, str] = { 
+#     "用户名": "1148",
+#     "密码": "123456",
+#     "经纪商代码": "",
+#     "交易服务器": "tcp://121.37.80.177:20002",
+#     "行情服务器": "tcp://121.37.80.177:20004",
+#     "产品名称": "",
+#     "授权编码": ""
+# }
+
+# 要录制数据的交易所列表
+# 可以根据需要取消注释来添加更多交易所
+recording_exchanges: list[Exchange] = [
+    # Exchange.CFFEX,  # 中国金融期货交易所
+    # Exchange.SHFE,         # 上海期货交易所
+    # Exchange.DCE,          # 大连商品交易所
+    # Exchange.CZCE,         # 郑州商品交易所
+    Exchange.GFEX,         # 广州期货交易所
+    # Exchange.INE,          # 上海国际能源交易中心
+]
+
+
+# 要录制数据的品种类型
+# 可以根据需要取消注释来添加更多品种
+recording_products: list[Product] = [
+    Product.FUTURES,  # 期货品种
+    # Product.OPTION,       # 期权品种
+]
+
+
+# 要录制的合约列表
+# contacts_df = pd.read_csv(r'D:\Git_FNOS\Quant_Code\999.账户相关\simnow_trader\main_contacts.csv', header = 0, usecols= [16, 17],names=['主连代码', '品种代码'])  
+# print(contacts_df['主连代码'].tolist())
+# recording_contracts: list[str] = contacts_df['主连代码'].tolist()
+# recording_contracts: list[str] = [
+#     # "IF2503",  # 沪深300指数期货
+#     # "IC2503",  # 中证500指数期货    
+#     # "IM2503",  # 上证50指数期货
+#     # "IH2503",  # 上证指数期货
+#     "TA2505",  # 纯碱期货
+#     "SA2505",  # 玻璃期货
+# ]
+
+
+def run_recorder() -> None:
+    """
+    运行行情录制程序
+
+    该函数是程序的主体，按照以下步骤工作：
+    1. 创建VeighNa核心组件（事件引擎、主引擎）
+    2. 添加交易接口和应用模块
+    3. 设置数据录制规则
+    4. 连接到交易所并开始录制数据
+    """
+    # 创建事件引擎，负责系统内各模块间的通信
+    event_engine: EventEngine = EventEngine()
+
+    # 创建主引擎，管理系统功能模块，包括底层接口、上层应用等
+    main_engine: MainEngine = MainEngine(event_engine)
+
+    # 添加CTP接口，连接到期货市场
+    # main_engine.add_gateway(CtpGateway)
+    main_engine.add_gateway(TtsGateway)
+
+    # 添加数据录制引擎，用于录制Tick行情入库
+    recorder_engine: RecorderEngine = main_engine.add_app(DataRecorderApp)
+
+    # 定义合约订阅函数
+    def subscribe_data(event: Event) -> None:
+        """
+        处理合约推送并订阅行情
+
+        当系统接收到合约信息后，根据预设的交易所和品种过滤条件，
+        自动为符合条件的合约添加行情录制任务。
+
+        参数:
+            event: 包含合约信息的事件对象
+        """
+        # 从事件对象中获取合约数据
+        contract: ContractData = event.data
+
+        # 判断合约是否符合录制条件
+        if (
+            contract.exchange
+            in recording_exchanges  # 检查合约所属交易所是否在预设列表中
+            and contract.product
+            in recording_products  # 检查合约品种类型是否在预设列表中
+            # and contract.symbol
+            # in recording_contracts
+        ):
+            # 添加该合约的行情录制任务，vt_symbol是VeighNa中的唯一标识符，格式为"代码.交易所"
+            recorder_engine.add_tick_recording(contract.vt_symbol)
+            print(contract.vt_symbol)
+
+    # 注册合约事件处理函数，当有新合约信息推送时，会自动调用subscribe_data函数
+    event_engine.register(EVENT_CONTRACT, subscribe_data)
+
+    # 获取日志引擎并设置日志处理
+    log_engine: LogEngine = main_engine.get_engine("log")
+
+    def print_log(event: Event) -> None:
+        """
+        处理数据录制模块的日志事件
+
+        将数据录制模块产生的日志信息输出到控制台和日志文件中，
+        便于监控录制过程和排查问题。
+
+        参数:
+            event: 包含日志信息的事件对象
+        """
+        log_engine.logger.log(INFO, event.data)
+
+    # 注册日志事件处理函数，当有新的日志推送时，会自动调用print_log函数
+    event_engine.register(EVENT_RECORDER_LOG, print_log)
+
+    # 连接CTP接口并登录，第一个参数是接口设置，第二个参数是接口名称
+    # main_engine.connect(ctp_setting, CtpGateway.default_name)
+    main_engine.connect(tts_setting, TtsGateway.default_name)
+
+    # 等待30秒，CTP接口连接后需要一段时间来完成初始化
+    sleep(30)
+
+    # 提示用户程序已经开始运行，用户可以根据需要随时退出
+    input(">>>>>> 高频行情数据录制已启动，正在记录数据。按回车键退出程序 <<<<<<")
+
+    # 关闭主引擎实现安全退出，避免出现内存中未入库数据的丢失
+    main_engine.close()
+
+
+# Python程序的标准入口写法，直接运行此脚本时会执行run_recorder函数
+if __name__ == "__main__":
+    run_recorder()
diff --git a/999.账户相关/simnow_trader/log/135858/md.con/TradingDay.con b/999.账户相关/simnow_trader/log/135858/md.con/TradingDay.con
index f2d9481..508483f 100644
Binary files a/999.账户相关/simnow_trader/log/135858/md.con/TradingDay.con and b/999.账户相关/simnow_trader/log/135858/md.con/TradingDay.con differ
diff --git a/999.账户相关/simnow_trader/log/135858/td.con/Private.con b/999.账户相关/simnow_trader/log/135858/td.con/Private.con
index 24380ae..508483f 100644
Binary files a/999.账户相关/simnow_trader/log/135858/td.con/Private.con and b/999.账户相关/simnow_trader/log/135858/td.con/Private.con differ
diff --git a/999.账户相关/simnow_trader/log/135858/td.con/Public.con b/999.账户相关/simnow_trader/log/135858/td.con/Public.con
index 737dc9f..ab70e19 100644
Binary files a/999.账户相关/simnow_trader/log/135858/td.con/Public.con and b/999.账户相关/simnow_trader/log/135858/td.con/Public.con differ
diff --git a/999.账户相关/simnow_trader/log/135858/td.con/TradingDay.con b/999.账户相关/simnow_trader/log/135858/td.con/TradingDay.con
index f2d9481..508483f 100644
Binary files a/999.账户相关/simnow_trader/log/135858/td.con/TradingDay.con and b/999.账户相关/simnow_trader/log/135858/td.con/TradingDay.con differ
diff --git a/999.账户相关/simnow_trader/ofdata/CF505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/CF505_ofdata.csv
new file mode 100644
index 0000000..8c129f3
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/CF505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['13610.0', '13615.0']","[0, 95]","[165, 0]",CF505,2025-03-19 21:15:00,-70.0,13615.0,13610.0,13615.0,13610.0,260,0,13615.0,13615.0,13615.0,-70.0
diff --git a/999.账户相关/simnow_trader/ofdata/CY505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/CY505_ofdata.csv
new file mode 100644
index 0000000..1fdc81a
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/CY505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['19715.0', '19720.0']","[0, 2]","[7, 0]",CY505,2025-03-19 21:15:00,-5.0,19720.0,19715.0,19720.0,19715.0,9,0,19720.0,19720.0,19720.0,-5.0
diff --git a/999.账户相关/simnow_trader/ofdata/FG505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/FG505_ofdata.csv
new file mode 100644
index 0000000..b0f2260
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/FG505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['1181.0', '1182.0', '1183.0']","[0, 935, 321]","[772, 1927, 0]",FG505,2025-03-19 21:15:00,-1443.0,1182.0,1182.0,1183.0,1181.0,3955,0,1182.0,1182.0,1182.0,-1443.0
diff --git a/999.账户相关/simnow_trader/ofdata/MA505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/MA505_ofdata.csv
new file mode 100644
index 0000000..e5fd010
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/MA505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['2543.0', '2544.0', '2545.0', '2546.0']","[0, 55, 40, 23]","[23, 626, 206, 0]",MA505,2025-03-19 21:15:00,-737.0,2544.0,2546.0,2546.0,2543.0,973,0,2544.0,2544.0,2544.0,-737.0
diff --git a/999.账户相关/simnow_trader/ofdata/OI505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/OI505_ofdata.csv
new file mode 100644
index 0000000..f22a188
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/OI505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['9141.0', '9142.0', '9143.0', '9144.0', '9145.0', '9146.0', '9147.0']","[0, 320, 0, 0, 0, 0, 80]","[142, 155, 7, 100, 122, 209, 29]",OI505,2025-03-19 21:15:00,-364.0,9141.0,9147.0,9147.0,9141.0,1164,-2,9141.0,9141.0,9141.0,-364.0
diff --git a/999.账户相关/simnow_trader/ofdata/PF505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/PF505_ofdata.csv
new file mode 100644
index 0000000..4fb5978
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/PF505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['6606.0', '6608.0', '6610.0', '6612.0']","[0, 124, 54, 1]","[2, 203, 129, 0]",PF505,2025-03-19 21:15:00,-155.0,6608.0,6610.0,6612.0,6606.0,526,0,6608.0,6608.0,6608.0,-155.0
diff --git a/999.账户相关/simnow_trader/ofdata/PR505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/PR505_ofdata.csv
new file mode 100644
index 0000000..4b8a759
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/PR505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['6056.0', '6058.0', '6060.0']","[0, 7, 8]","[3, 13, 0]",PR505,2025-03-19 21:15:00,-1.0,6056.0,6058.0,6060.0,6056.0,31,0,6056.0,6056.0,6056.0,-1.0
diff --git a/999.账户相关/simnow_trader/ofdata/PX505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/PX505_ofdata.csv
new file mode 100644
index 0000000..872470d
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/PX505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['6774.0', '6776.0', '6778.0', '6780.0']","[0, 35, 7, 64]","[20, 113, 44, 51]",PX505,2025-03-19 21:15:00,-122.0,6776.0,6778.0,6780.0,6774.0,337,0,6776.0,6776.0,6776.0,-122.0
diff --git a/999.账户相关/simnow_trader/ofdata/RM505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/RM505_ofdata.csv
new file mode 100644
index 0000000..d464dee
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/RM505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['2682.0', '2683.0']","[133, 438]","[580, 74]",RM505,2025-03-19 21:15:00,-83.0,2682.0,2683.0,2683.0,2682.0,1225,0,2682.0,2682.0,2682.0,-83.0
diff --git a/999.账户相关/simnow_trader/ofdata/SA505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/SA505_ofdata.csv
index 9e25cf6..046cc2d 100644
--- a/999.账户相关/simnow_trader/ofdata/SA505_ofdata.csv
+++ b/999.账户相关/simnow_trader/ofdata/SA505_ofdata.csv
@@ -18,3 +18,4 @@ price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_
 "['1431.0', '1432.0', '1433.0', '1434.0']","[0, 580, 1128, 257]","[39, 316, 358, 0]",SA505,2025-03-13 22:52:00,1252.0,1433.0,1431.0,1434.0,1431.0,2678,0,1431.1,1431.6,1431.1,7977.0
 "['1433.0', '1434.0']","[0, 937]","[316, 0]",SA505,2025-03-13 22:53:00,621.0,1433.0,1434.0,1434.0,1433.0,1253,0,1431.2727272727273,1431.8,1431.4,8598.0
 "['1433.0', '1434.0']","[0, 446]","[582, 0]",SA505,2025-03-13 22:54:00,-136.0,1433.0,1433.0,1434.0,1433.0,1028,0,1431.4166666666667,1432.4,1431.7,8462.0
+"['1418.0', '1419.0', '1420.0']","[0, 297, 74]","[78, 856, 0]",SA505,2025-03-19 21:15:00,-563.0,1418.0,1419.0,1420.0,1418.0,1305,0,1418.0,1418.0,1418.0,-563.0
diff --git a/999.账户相关/simnow_trader/ofdata/SH505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/SH505_ofdata.csv
new file mode 100644
index 0000000..e9deb0f
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/SH505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['2565.0', '2566.0']","[0, 553]","[327, 0]",SH505,2025-03-19 21:15:00,226.0,2566.0,2566.0,2566.0,2565.0,880,0,2566.0,2566.0,2566.0,226.0
diff --git a/999.账户相关/simnow_trader/ofdata/SR505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/SR505_ofdata.csv
new file mode 100644
index 0000000..e9714c5
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/SR505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['6105.0', '6106.0']","[0, 42]","[154, 0]",SR505,2025-03-19 21:15:00,-112.0,6105.0,6105.0,6106.0,6105.0,196,0,6105.0,6105.0,6105.0,-112.0
diff --git a/999.账户相关/simnow_trader/ofdata/TA505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/TA505_ofdata.csv
new file mode 100644
index 0000000..908716e
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/TA505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['4832.0', '4834.0', '4836.0', '4838.0']","[0, 1962, 180, 12]","[823, 734, 166, 0]",TA505,2025-03-19 21:15:00,431.0,4834.0,4836.0,4838.0,4832.0,3929,0,4834.0,4834.0,4834.0,431.0
diff --git a/999.账户相关/simnow_trader/ofdata/a2505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/a2505_ofdata.csv
new file mode 100644
index 0000000..a78e9ac
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/a2505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['3913.0', '3914.0', '3915.0']","[0, 8, 47]","[77, 256, 0]",a2505,2025-03-19 21:15:00,-278.0,3913.0,3915.0,3915.0,3913.0,389,0,3913.0,3913.0,3913.0,-278.0
diff --git a/999.账户相关/simnow_trader/ofdata/ag2504_ofdata.csv b/999.账户相关/simnow_trader/ofdata/ag2504_ofdata.csv
index 69c35c9..2a7f36d 100644
--- a/999.账户相关/simnow_trader/ofdata/ag2504_ofdata.csv
+++ b/999.账户相关/simnow_trader/ofdata/ag2504_ofdata.csv
@@ -75,3 +75,4 @@ price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_
 "['8316.0', '8317.0', '8318.0', '8319.0']","[0, 52, 309, 411]","[55, 428, 303, 46]",ag2504,2025-03-14 00:55:00,-60.0,8318.0,8318.0,8319.0,8316.0,1604,0,8318.0,8318.0,8318.0,-77.0
 "['8297.0', '8298.0', '8299.0', '8300.0', '8301.0', '8302.0', '8303.0', '8304.0', '8305.0', '8306.0', '8307.0', '8308.0', '8309.0', '8310.0', '8311.0', '8312.0', '8313.0', '8314.0', '8315.0', '8316.0']","[220, 124, 368, 284, 452, 437, 476, 575, 272, 401, 259, 592, 800, 190, 346, 189, 115, 106, 0, 17]","[389, 309, 608, 324, 443, 397, 344, 708, 471, 279, 458, 752, 180, 285, 273, 156, 135, 26, 77, 0]",ag2504,2025-03-14 01:00:00,-391.0,8313.0,8316.0,8316.0,8297.0,13253,0,8313.0,8313.0,8313.0,-391.0
 "['8302.0', '8303.0', '8304.0', '8305.0', '8306.0', '8307.0', '8308.0', '8309.0', '8310.0', '8311.0', '8312.0', '8313.0', '8314.0']","[0, 56, 493, 705, 844, 512, 444, 215, 168, 87, 118, 95, 426]","[111, 389, 961, 902, 473, 244, 496, 108, 216, 192, 176, 81, 39]",ag2504,2025-03-14 01:05:00,-225.0,8307.0,8314.0,8314.0,8302.0,8674,0,8310.0,8310.0,8310.0,-616.0
+"['8333.0', '8334.0', '8335.0', '8336.0', '8337.0', '8338.0', '8339.0', '8340.0']","[0, 23, 103, 44, 38, 5, 25, 2]","[28, 0, 53, 50, 32, 61, 3, 0]",ag2504,2025-03-19 21:15:00,13.0,8333.0,8339.0,8340.0,8333.0,494,0,8333.0,8333.0,8333.0,13.0
diff --git a/999.账户相关/simnow_trader/ofdata/al2505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/al2505_ofdata.csv
index fa75dad..8d528ef 100644
--- a/999.账户相关/simnow_trader/ofdata/al2505_ofdata.csv
+++ b/999.账户相关/simnow_trader/ofdata/al2505_ofdata.csv
@@ -9,3 +9,4 @@ price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_
 "['21000.0', '21005.0']","[0, 57]","[43, 0]",al2505,2025-03-14 00:53:00,14.0,21005.0,21000.0,21005.0,21000.0,100,0,21011.875,21011.0,21011.875,-306.0
 ['21005.0'],[1],[0],al2505,2025-03-14 00:54:00,1.0,21005.0,21005.0,21005.0,21005.0,1,0,21005.0,21005.0,21005.0,1.0
 "['21000.0', '21005.0']","[0, 9]","[70, 0]",al2505,2025-03-14 00:55:00,-61.0,21005.0,21005.0,21005.0,21000.0,79,0,21005.0,21005.0,21005.0,-60.0
+"['20745.0', '20750.0', '20755.0', '20760.0']","[0, 29, 4, 8]","[1, 154, 149, 0]",al2505,2025-03-19 21:15:00,-263.0,20750.0,20760.0,20760.0,20745.0,345,0,20750.0,20750.0,20750.0,-263.0
diff --git a/999.账户相关/simnow_trader/ofdata/ao2505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/ao2505_ofdata.csv
index 19fb69c..0e88d9d 100644
--- a/999.账户相关/simnow_trader/ofdata/ao2505_ofdata.csv
+++ b/999.账户相关/simnow_trader/ofdata/ao2505_ofdata.csv
@@ -9,3 +9,4 @@ price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_
 "['3126.0', '3127.0']","[0, 32]","[42, 5]",ao2505,2025-03-14 00:53:00,-15.0,3127.0,3127.0,3127.0,3126.0,87,0,3126.875,3126.8,3126.875,-115.0
 "['3126.0', '3127.0']","[0, 1]","[1, 0]",ao2505,2025-03-14 00:54:00,0.0,3127.0,3126.0,3127.0,3126.0,2,0,3127.0,3127.0,3127.0,0.0
 "['3126.0', '3127.0']","[0, 66]","[26, 0]",ao2505,2025-03-14 00:55:00,40.0,3127.0,3126.0,3127.0,3126.0,92,0,3127.0,3127.0,3127.0,40.0
+"['3006.0', '3007.0', '3008.0']","[0, 25, 140]","[36, 98, 0]",ao2505,2025-03-19 21:15:00,31.0,3007.0,3007.0,3008.0,3006.0,303,0,3007.0,3007.0,3007.0,31.0
diff --git a/999.账户相关/simnow_trader/ofdata/au2504_ofdata.csv b/999.账户相关/simnow_trader/ofdata/au2504_ofdata.csv
index 0ae00d9..8085d0c 100644
--- a/999.账户相关/simnow_trader/ofdata/au2504_ofdata.csv
+++ b/999.账户相关/simnow_trader/ofdata/au2504_ofdata.csv
@@ -11,3 +11,4 @@ price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_
 "['693.94', '693.96', '693.98', '694.0', '694.02', '694.04', '694.06', '694.08', '694.1']","[0, 4, 36, 5, 5, 32, 48, 26, 1]","[1, 14, 23, 20, 25, 2, 12, 17, 0]",au2504,2025-03-14 00:55:00,43.0,694.02,694.04,694.1,693.94,291,0,694.03,694.03,694.03,39.0
 "['693.14', '693.16', '693.18', '693.2', '693.22', '693.24', '693.26', '693.28', '693.3', '693.32', '693.34', '693.36', '693.38', '693.4', '693.42', '693.44', '693.46', '693.48', '693.5', '693.52', '693.54', '693.56', '693.58', '693.6', '693.62', '693.64', '693.66', '693.68', '693.7']","[0, 8, 55, 29, 80, 176, 75, 57, 28, 55, 35, 37, 27, 30, 245, 7, 0, 42, 45, 15, 26, 12, 51, 28, 24, 10, 65, 7, 16]","[20, 30, 64, 80, 27, 43, 52, 59, 13, 35, 30, 78, 20, 77, 32, 0, 16, 19, 62, 22, 64, 48, 14, 13, 50, 27, 6, 0, 0]",au2504,2025-03-14 01:00:00,284.0,693.7,693.64,693.7,693.14,2488,0,693.7,693.7,693.7,284.0
 "['693.28', '693.3', '693.32', '693.34', '693.36', '693.38', '693.4', '693.42', '693.44', '693.46', '693.48', '693.5', '693.52', '693.54', '693.56', '693.58', '693.6', '693.62', '693.64', '693.66', '693.68', '693.7', '693.72', '693.74', '693.76', '693.78', '693.8']","[0, 0, 12, 2, 18, 31, 20, 34, 24, 53, 29, 46, 65, 30, 30, 19, 12, 20, 24, 4, 19, 12, 24, 39, 29, 55, 5]","[4, 10, 30, 16, 13, 32, 0, 22, 51, 27, 77, 66, 62, 11, 17, 11, 45, 16, 5, 43, 6, 80, 23, 13, 61, 2, 0]",au2504,2025-03-14 01:05:00,-87.0,693.52,693.7,693.8000000000001,693.28,1581,0,693.61,693.61,693.61,197.0
+"['704.9', '704.96', '704.98', '705.0', '705.02', '705.04', '705.06', '705.08', '705.1', '705.12', '705.16']","[0, 0, 0, 12, 17, 39, 0, 41, 32, 9, 12]","[31, 18, 35, 78, 0, 21, 63, 34, 11, 8, 0]",au2504,2025-03-19 21:15:00,-137.0,704.9,705.16,705.16,704.9,477,0,704.9,704.9,704.9,-137.0
diff --git a/999.账户相关/simnow_trader/ofdata/b2505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/b2505_ofdata.csv
new file mode 100644
index 0000000..fb6f9d0
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/b2505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['3558.0', '3559.0', '3560.0']","[0, 13, 15]","[65, 58, 0]",b2505,2025-03-19 21:15:00,-95.0,3559.0,3560.0,3560.0,3558.0,153,0,3559.0,3559.0,3559.0,-95.0
diff --git a/999.账户相关/simnow_trader/ofdata/bc2504_ofdata.csv b/999.账户相关/simnow_trader/ofdata/bc2504_ofdata.csv
index 8210483..8d4d8f1 100644
--- a/999.账户相关/simnow_trader/ofdata/bc2504_ofdata.csv
+++ b/999.账户相关/simnow_trader/ofdata/bc2504_ofdata.csv
@@ -8,3 +8,4 @@ price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_
 "['70980.0', '71000.0']","[0, 1]","[1, 0]",bc2504,2025-03-14 00:52:00,0.0,70980.0,71000.0,71000.0,70980.0,3,0,71047.14285714286,71030.0,71047.14285714286,-6.0
 "['70960.0', '70990.0']","[0, 1]","[1, 0]",bc2504,2025-03-14 00:53:00,0.0,70990.0,70960.0,70990.0,70960.0,3,0,71040.0,71022.0,71040.0,-6.0
 "['70940.0', '70950.0', '70960.0', '70970.0']","[2, 2, 0, 1]","[0, 3, 3, 0]",bc2504,2025-03-14 00:55:00,-1.0,70950.0,70960.0,70970.0,70940.0,13,0,70950.0,70950.0,70950.0,-1.0
+"['72220.0', '72230.0', '72240.0']","[0, 1, 5]","[2, 0, 0]",bc2504,2025-03-19 21:15:00,4.0,72230.0,72240.0,72240.0,72220.0,15,0,72230.0,72230.0,72230.0,4.0
diff --git a/999.账户相关/simnow_trader/ofdata/br2504_ofdata.csv b/999.账户相关/simnow_trader/ofdata/br2504_ofdata.csv
new file mode 100644
index 0000000..b18a4cb
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/br2504_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['13685.0', '13690.0', '13695.0']","[0, 1, 5]","[1, 8, 0]",br2504,2025-03-19 21:15:00,-3.0,13690.0,13690.0,13695.0,13685.0,16,0,13690.0,13690.0,13690.0,-3.0
diff --git a/999.账户相关/simnow_trader/ofdata/bu2506_ofdata.csv b/999.账户相关/simnow_trader/ofdata/bu2506_ofdata.csv
new file mode 100644
index 0000000..b277274
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/bu2506_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['3451.0', '3452.0', '3453.0', '3454.0']","[0, 169, 12, 60]","[152, 137, 182, 0]",bu2506,2025-03-19 21:15:00,-230.0,3452.0,3454.0,3454.0,3451.0,717,0,3452.0,3452.0,3452.0,-230.0
diff --git a/999.账户相关/simnow_trader/ofdata/c2505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/c2505_ofdata.csv
new file mode 100644
index 0000000..34f88f7
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/c2505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['2282.0', '2283.0']","[0, 36]","[270, 0]",c2505,2025-03-19 21:15:00,-234.0,2282.0,2282.0,2283.0,2282.0,306,0,2282.0,2282.0,2282.0,-234.0
diff --git a/999.账户相关/simnow_trader/ofdata/cs2505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/cs2505_ofdata.csv
new file mode 100644
index 0000000..043688d
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/cs2505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['2664.0', '2665.0', '2666.0']","[0, 40, 1]","[22, 317, 0]",cs2505,2025-03-19 21:15:00,-298.0,2664.0,2665.0,2666.0,2664.0,383,0,2664.0,2664.0,2664.0,-298.0
diff --git a/999.账户相关/simnow_trader/ofdata/cu2505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/cu2505_ofdata.csv
index d156bc4..a8e3af1 100644
--- a/999.账户相关/simnow_trader/ofdata/cu2505_ofdata.csv
+++ b/999.账户相关/simnow_trader/ofdata/cu2505_ofdata.csv
@@ -9,3 +9,4 @@ price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_
 "['79760.0', '79770.0', '79780.0', '79790.0', '79800.0', '79810.0']","[0, 4, 7, 7, 1, 17]","[4, 28, 24, 3, 9, 10]",cu2505,2025-03-14 00:53:00,-42.0,79800.0,79780.0,79810.0,79760.0,126,0,79846.25,79826.0,79846.25,-180.0
 "['79750.0', '79760.0', '79770.0']","[0, 0, 2]","[5, 1, 0]",cu2505,2025-03-14 00:54:00,-4.0,79760.0,79770.0,79770.0,79750.0,8,0,79760.0,79760.0,79760.0,-4.0
 "['79750.0', '79760.0', '79770.0', '79780.0', '79790.0']","[87, 2, 8, 14, 12]","[19, 5, 9, 12, 4]",cu2505,2025-03-14 00:55:00,74.0,79790.0,79770.0,79790.0,79750.0,181,0,79775.0,79775.0,79775.0,70.0
+"['81070.0', '81080.0', '81090.0', '81100.0', '81110.0', '81120.0']","[0, 13, 8, 6, 23, 9]","[13, 16, 12, 28, 27, 15]",cu2505,2025-03-19 21:15:00,-52.0,81070.0,81120.0,81120.0,81070.0,170,0,81070.0,81070.0,81070.0,-52.0
diff --git a/999.账户相关/simnow_trader/ofdata/eb2504_ofdata.csv b/999.账户相关/simnow_trader/ofdata/eb2504_ofdata.csv
index ca98f1c..9a17c04 100644
--- a/999.账户相关/simnow_trader/ofdata/eb2504_ofdata.csv
+++ b/999.账户相关/simnow_trader/ofdata/eb2504_ofdata.csv
@@ -23,3 +23,4 @@ price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_
 "['8103.0', '8104.0', '8105.0', '8106.0']","[10, 85, 234, 1]","[15, 172, 63, 0]",eb2504,2025-03-13 22:57:00,80.0,8104.0,8105.0,8106.0,8103.0,581,0,8101.666666666667,8105.8,8102.5,292.0
 "['8096.0', '8097.0', '8098.0', '8099.0', '8100.0', '8102.0', '8103.0', '8104.0', '8105.0']","[18, 39, 59, 1, 6, 0, 1, 0, 1]","[102, 34, 52, 16, 76, 15, 8, 29, 0]",eb2504,2025-03-13 22:58:00,-207.0,8098.0,8104.0,8105.0,8096.0,465,-2,8101.4375,8103.6,8102.3,85.0
 "['8096.0', '8097.0', '8098.0', '8099.0', '8100.0', '8101.0']","[0, 4, 107, 1, 114, 104]","[37, 28, 55, 32, 87, 6]",eb2504,2025-03-13 22:59:00,85.0,8100.0,8096.0,8101.0,8096.0,633,0,8101.35294117647,8102.0,8102.7,170.0
+"['8054.0', '8055.0', '8056.0', '8057.0']","[6, 32, 21, 1]","[32, 12, 0, 0]",eb2504,2025-03-19 21:15:00,16.0,8055.0,8055.0,8057.0,8054.0,109,0,8055.0,8055.0,8055.0,16.0
diff --git a/999.账户相关/simnow_trader/ofdata/eg2505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/eg2505_ofdata.csv
new file mode 100644
index 0000000..fc823c1
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/eg2505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['4412.0', '4413.0', '4414.0']","[0, 96, 281]","[54, 355, 0]",eg2505,2025-03-19 21:15:00,-32.0,4413.0,4414.0,4414.0,4412.0,786,0,4413.0,4413.0,4413.0,-32.0
diff --git a/999.账户相关/simnow_trader/ofdata/fu2505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/fu2505_ofdata.csv
new file mode 100644
index 0000000..9203e76
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/fu2505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['3096.0', '3097.0', '3098.0']","[0, 333, 181]","[205, 366, 0]",fu2505,2025-03-19 21:15:00,-57.0,3098.0,3098.0,3098.0,3096.0,1089,0,3098.0,3098.0,3098.0,-57.0
diff --git a/999.账户相关/simnow_trader/ofdata/hc2505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/hc2505_ofdata.csv
index 4a79a36..670f552 100644
--- a/999.账户相关/simnow_trader/ofdata/hc2505_ofdata.csv
+++ b/999.账户相关/simnow_trader/ofdata/hc2505_ofdata.csv
@@ -22,3 +22,4 @@ price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_
 "['3408.0', '3409.0', '3410.0', '3411.0']","[0, 259, 213, 123]","[21, 178, 82, 0]",hc2505,2025-03-13 22:57:00,314.0,3409.0,3408.0,3411.0,3408.0,877,0,3410.266666666667,3410.2,3410.6,1514.0
 "['3409.0', '3410.0', '3411.0']","[0, 85, 178]","[178, 139, 0]",hc2505,2025-03-13 22:58:00,-54.0,3411.0,3410.0,3411.0,3409.0,583,0,3410.3125,3409.8,3410.7,1460.0
 "['3410.0', '3411.0', '3412.0']","[0, 225, 5]","[613, 53, 0]",hc2505,2025-03-13 22:59:00,-436.0,3410.0,3410.0,3412.0,3410.0,897,0,3410.294117647059,3409.4,3410.8,1024.0
+"['3353.0', '3354.0', '3355.0', '3356.0']","[0, 14, 32, 323]","[524, 73, 211, 0]",hc2505,2025-03-19 21:15:00,-439.0,3353.0,3356.0,3356.0,3353.0,1398,0,3353.0,3353.0,3353.0,-439.0
diff --git a/999.账户相关/simnow_trader/ofdata/i2505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/i2505_ofdata.csv
new file mode 100644
index 0000000..e13680f
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/i2505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['763.0', '763.5', '764.0']","[0, 286, 188]","[386, 548, 0]",i2505,2025-03-19 21:15:00,-460.0,763.5,763.5,764.0,763.0,1408,0,763.5,763.5,763.5,-460.0
diff --git a/999.账户相关/simnow_trader/ofdata/j2505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/j2505_ofdata.csv
new file mode 100644
index 0000000..4d1bdd2
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/j2505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['1570.0', '1570.5', '1571.0']","[0, 0, 2]","[4, 18, 17]",j2505,2025-03-19 21:15:00,-37.0,1570.5,1571.5,1571.5,1570.0,49,0,1570.5,1570.5,1570.5,-37.0
diff --git a/999.账户相关/simnow_trader/ofdata/jm2505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/jm2505_ofdata.csv
new file mode 100644
index 0000000..60b1c39
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/jm2505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['1032.5', '1033.0', '1033.5', '1034.0', '1034.5']","[0, 37, 15, 22, 119]","[243, 62, 113, 67, 0]",jm2505,2025-03-19 21:15:00,-292.0,1033.0,1034.5,1034.5,1032.5,678,-1,1033.0,1033.0,1033.0,-292.0
diff --git a/999.账户相关/simnow_trader/ofdata/l2505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/l2505_ofdata.csv
new file mode 100644
index 0000000..e5d1c0b
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/l2505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['7692.0', '7693.0', '7694.0']","[0, 26, 78]","[75, 60, 0]",l2505,2025-03-19 21:15:00,-31.0,7692.0,7693.0,7694.0,7692.0,239,0,7692.0,7692.0,7692.0,-31.0
diff --git a/999.账户相关/simnow_trader/ofdata/lu2505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/lu2505_ofdata.csv
new file mode 100644
index 0000000..7b50551
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/lu2505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['3535.0', '3536.0', '3537.0']","[0, 81, 21]","[14, 70, 0]",lu2505,2025-03-19 21:15:00,18.0,3536.0,3536.0,3537.0,3535.0,218,0,3536.0,3536.0,3536.0,18.0
diff --git a/999.账户相关/simnow_trader/ofdata/m2505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/m2505_ofdata.csv
index ecfdc7b..43c8215 100644
--- a/999.账户相关/simnow_trader/ofdata/m2505_ofdata.csv
+++ b/999.账户相关/simnow_trader/ofdata/m2505_ofdata.csv
@@ -23,3 +23,4 @@ price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_
 "['2896.0', '2897.0', '2898.0']","[0, 1718, 1401]","[805, 156, 0]",m2505,2025-03-13 22:57:00,2158.0,2898.0,2897.0,2898.0,2896.0,4080,0,2895.133333333333,2896.8,2895.9,9271.0
 "['2897.0', '2898.0', '2899.0']","[0, 2938, 3945]","[970, 1938, 0]",m2505,2025-03-13 22:58:00,3975.0,2899.0,2898.0,2899.0,2897.0,9866,0,2895.375,2897.4,2896.4,13246.0
 "['2898.0', '2899.0', '2900.0', '2901.0']","[0, 821, 10258, 1886]","[116, 4222, 5183, 0]",m2505,2025-03-13 22:59:00,3444.0,2899.0,2899.0,2901.0,2898.0,22486,0,2895.5882352941176,2897.8,2896.8,16690.0
+"['2904.0', '2905.0']","[0, 807]","[274, 0]",m2505,2025-03-19 21:15:00,533.0,2905.0,2904.0,2905.0,2904.0,1081,0,2905.0,2905.0,2905.0,533.0
diff --git a/999.账户相关/simnow_trader/ofdata/ni2505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/ni2505_ofdata.csv
index e8104c7..a3d2ffe 100644
--- a/999.账户相关/simnow_trader/ofdata/ni2505_ofdata.csv
+++ b/999.账户相关/simnow_trader/ofdata/ni2505_ofdata.csv
@@ -81,3 +81,4 @@ price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_
 "['132980.0', '132990.0', '133000.0', '133010.0', '133020.0', '133030.0', '133040.0', '133060.0']","[0, 0, 8, 16, 16, 15, 9, 15]","[26, 14, 50, 4, 4, 14, 13, 6]",ni2505,2025-03-14 00:53:00,-52.0,132980.0,133040.0,133060.0,132980.0,228,0,133051.25,133038.0,133051.25,-268.0
 "['132980.0', '132990.0']","[0, 32]","[2, 4]",ni2505,2025-03-14 00:54:00,26.0,132990.0,132980.0,132990.0,132980.0,39,0,132990.0,132990.0,132990.0,26.0
 "['132930.0', '132940.0', '132950.0', '132960.0', '132970.0', '132980.0', '132990.0', '133000.0', '133010.0']","[0, 5, 45, 14, 6, 3, 14, 7, 3]","[24, 28, 107, 17, 28, 3, 2, 6, 0]",ni2505,2025-03-14 00:55:00,-118.0,132960.0,132990.0,133010.0,132930.0,338,0,132975.0,132975.0,132975.0,-92.0
+"['132100.0', '132110.0', '132120.0', '132130.0', '132150.0', '132160.0', '132170.0', '132180.0', '132190.0', '132200.0', '132210.0', '132220.0', '132230.0', '132240.0', '132250.0']","[0, 0, 37, 33, 0, 4, 34, 7, 0, 0, 14, 14, 0, 0, 7]","[19, 28, 70, 0, 15, 45, 17, 6, 8, 15, 28, 4, 6, 6, 0]",ni2505,2025-03-19 21:15:00,-117.0,132130.0,132250.0,132250.0,132100.0,425,0,132130.0,132130.0,132130.0,-117.0
diff --git a/999.账户相关/simnow_trader/ofdata/nr2505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/nr2505_ofdata.csv
new file mode 100644
index 0000000..bb903f8
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/nr2505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['14335.0', '14340.0', '14345.0']","[0, 36, 63]","[36, 77, 0]",nr2505,2025-03-19 21:15:00,-14.0,14340.0,14340.0,14345.0,14335.0,227,0,14340.0,14340.0,14340.0,-14.0
diff --git a/999.账户相关/simnow_trader/ofdata/p2505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/p2505_ofdata.csv
new file mode 100644
index 0000000..7a382ac
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/p2505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['8968.0', '8970.0', '8972.0', '8974.0', '8976.0']","[0, 290, 149, 1, 260]","[146, 605, 569, 384, 0]",p2505,2025-03-19 21:15:00,-1004.0,8970.0,8976.0,8976.0,8968.0,2450,0,8970.0,8970.0,8970.0,-1004.0
diff --git a/999.账户相关/simnow_trader/ofdata/pb2504_ofdata.csv b/999.账户相关/simnow_trader/ofdata/pb2504_ofdata.csv
index ee943bb..b0105d2 100644
--- a/999.账户相关/simnow_trader/ofdata/pb2504_ofdata.csv
+++ b/999.账户相关/simnow_trader/ofdata/pb2504_ofdata.csv
@@ -6,3 +6,4 @@ price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_
 "['17550.0', '17555.0', '17560.0']","[0, 16, 8]","[3, 11, 2]",pb2504,2025-03-14 00:51:00,8.0,17560.0,17560.0,17560.0,17550.0,89,0,17562.0,17562.0,17562.0,28.0
 ['17560.0'],[0],[29],pb2504,2025-03-14 00:52:00,-29.0,17560.0,17560.0,17560.0,17560.0,29,0,17561.666666666668,17561.0,17561.666666666668,-1.0
 [],[],[],pb2504,2025-03-14 00:53:00,0.0,17560.0,17560.0,17560.0,17560.0,18,0,17561.428571428572,17560.0,17561.428571428572,-1.0
+"['17675.0', '17680.0']","[0, 5]","[2, 0]",pb2504,2025-03-19 21:15:00,3.0,17680.0,17680.0,17680.0,17675.0,30,0,17680.0,17680.0,17680.0,3.0
diff --git a/999.账户相关/simnow_trader/ofdata/pg2504_ofdata.csv b/999.账户相关/simnow_trader/ofdata/pg2504_ofdata.csv
new file mode 100644
index 0000000..c524239
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/pg2504_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['4677.0', '4678.0', '4679.0']","[4, 26, 19]","[31, 2, 0]",pg2504,2025-03-19 21:15:00,16.0,4678.0,4678.0,4679.0,4677.0,100,0,4678.0,4678.0,4678.0,16.0
diff --git a/999.账户相关/simnow_trader/ofdata/pp2505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/pp2505_ofdata.csv
new file mode 100644
index 0000000..8c3c46e
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/pp2505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['7240.0', '7241.0']","[0, 146]","[49, 33]",pp2505,2025-03-19 21:15:00,64.0,7241.0,7240.0,7241.0,7240.0,228,0,7241.0,7241.0,7241.0,64.0
diff --git a/999.账户相关/simnow_trader/ofdata/rb2505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/rb2505_ofdata.csv
index f62046d..15b8254 100644
--- a/999.账户相关/simnow_trader/ofdata/rb2505_ofdata.csv
+++ b/999.账户相关/simnow_trader/ofdata/rb2505_ofdata.csv
@@ -23,3 +23,4 @@ price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_
 "['3245.0', '3246.0']","[118, 1158]","[1018, 1180]",rb2505,2025-03-13 22:57:00,-922.0,3245.0,3245.0,3246.0,3245.0,3474,0,3246.8,3246.6,3246.9,5132.0
 "['3246.0', '3247.0', '3248.0']","[0, 642, 40]","[1274, 0, 0]",rb2505,2025-03-13 22:58:00,-592.0,3248.0,3246.0,3248.0,3246.0,1956,0,3246.875,3246.4,3247.1,4540.0
 "['3246.0', '3247.0', '3248.0']","[0, 871, 15]","[640, 551, 0]",rb2505,2025-03-13 22:59:00,-305.0,3246.0,3248.0,3248.0,3246.0,2083,0,3246.823529411765,3246.0,3247.0,4235.0
+"['3162.0', '3163.0', '3164.0', '3165.0']","[0, 288, 428, 117]","[1137, 156, 1601, 0]",rb2505,2025-03-19 21:15:00,-2061.0,3162.0,3164.0,3165.0,3162.0,3727,0,3162.0,3162.0,3162.0,-2061.0
diff --git a/999.账户相关/simnow_trader/ofdata/ru2505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/ru2505_ofdata.csv
index 039708b..60a1fdf 100644
--- a/999.账户相关/simnow_trader/ofdata/ru2505_ofdata.csv
+++ b/999.账户相关/simnow_trader/ofdata/ru2505_ofdata.csv
@@ -17,3 +17,4 @@ price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_
 "['17110.0', '17115.0']","[0, 234]","[68, 105]",ru2505,2025-03-13 22:52:00,61.0,17115.0,17110.0,17115.0,17110.0,407,0,17108.0,17112.0,17108.0,2017.0
 "['17110.0', '17115.0', '17120.0']","[0, 98, 4]","[39, 99, 0]",ru2505,2025-03-13 22:53:00,-36.0,17110.0,17115.0,17120.0,17110.0,240,0,17108.18181818182,17110.0,17110.0,1981.0
 "['17105.0', '17110.0']","[87, 48]","[179, 89]",ru2505,2025-03-13 22:54:00,-133.0,17105.0,17110.0,17110.0,17105.0,403,0,17107.916666666668,17109.0,17111.5,1848.0
+"['16740.0', '16745.0', '16750.0']","[0, 251, 102]","[46, 188, 0]",ru2505,2025-03-19 21:15:00,119.0,16745.0,16745.0,16750.0,16740.0,618,0,16745.0,16745.0,16745.0,119.0
diff --git a/999.账户相关/simnow_trader/ofdata/sc2504_ofdata.csv b/999.账户相关/simnow_trader/ofdata/sc2504_ofdata.csv
index a981b30..d280968 100644
--- a/999.账户相关/simnow_trader/ofdata/sc2504_ofdata.csv
+++ b/999.账户相关/simnow_trader/ofdata/sc2504_ofdata.csv
@@ -82,3 +82,4 @@ price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_
 "['516.9', '517.0', '517.1', '517.2', '517.3']","[0, 11, 2, 14, 16]","[31, 21, 14, 18, 5]",sc2504,2025-03-14 00:55:00,-46.0,517.0,517.3,517.3,516.9,136,0,517.15,517.15,517.15,-51.0
 "['516.8', '516.9', '517.0', '517.1', '517.2', '517.3', '517.4']","[0, 27, 109, 14, 43, 32, 30]","[41, 51, 56, 9, 20, 7, 5]",sc2504,2025-03-14 01:00:00,66.0,517.3,517.0,517.4,516.8,470,0,517.3,517.3,517.3,66.0
 "['516.5', '516.6', '516.7', '516.8', '516.9', '517.0', '517.1', '517.2', '517.3', '517.4', '517.5', '517.6']","[0, 9, 58, 40, 35, 3, 61, 7, 33, 42, 67, 20]","[10, 26, 42, 41, 28, 25, 38, 15, 23, 44, 28, 3]",sc2504,2025-03-14 01:05:00,52.0,516.8,517.4,517.6,516.5,719,0,517.05,517.05,517.05,118.0
+['519.6'],[1],[0],sc2504,2025-03-19 21:15:00,1.0,519.6,519.5,519.6,519.5,2,0,519.6,519.6,519.6,1.0
diff --git a/999.账户相关/simnow_trader/ofdata/sn2504_ofdata.csv b/999.账户相关/simnow_trader/ofdata/sn2504_ofdata.csv
index 17787c5..e1249c6 100644
--- a/999.账户相关/simnow_trader/ofdata/sn2504_ofdata.csv
+++ b/999.账户相关/simnow_trader/ofdata/sn2504_ofdata.csv
@@ -9,3 +9,4 @@ price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_
 "['288750.0', '288760.0', '288810.0', '288820.0', '288840.0', '288860.0', '288870.0', '288880.0', '288910.0', '288920.0', '288930.0', '288940.0', '288950.0', '288960.0', '288970.0', '288980.0', '288990.0', '289000.0', '289010.0', '289020.0', '289030.0', '289040.0', '289050.0', '289070.0', '289080.0', '289090.0', '289100.0', '289110.0', '289120.0', '289130.0', '289140.0', '289150.0', '289170.0', '289180.0', '289190.0', '289200.0', '289210.0', '289220.0', '289230.0', '289240.0']","[8, 36, 0, 16, 0, 0, 12, 19, 30, 16, 9, 11, 0, 3, 4, 0, 57, 2, 8, 0, 0, 9, 0, 0, 0, 0, 0, 4, 15, 0, 6, 0, 20, 9, 18, 0, 0, 12, 2, 0]","[0, 22, 39, 0, 8, 15, 17, 9, 0, 0, 0, 14, 16, 16, 0, 58, 0, 25, 32, 27, 6, 0, 13, 12, 9, 35, 16, 0, 0, 31, 0, 10, 30, 0, 0, 6, 2, 0, 1, 3]",sn2504,2025-03-14 00:53:00,-146.0,288750.0,289260.0,289260.0,288690.0,943,-3,289405.0,289316.0,289405.0,-149.0
 "['288800.0', '288870.0', '288880.0', '288910.0', '288920.0', '288930.0', '288980.0', '289000.0']","[0, 3, 13, 11, 9, 0, 16, 3]","[15, 0, 23, 0, 0, 7, 0, 0]",sn2504,2025-03-14 00:54:00,10.0,288930.0,288870.0,289000.0,288800.0,108,0,288930.0,288930.0,288930.0,10.0
 "['288700.0', '288760.0', '288770.0', '288790.0', '288800.0', '288810.0', '288820.0', '288830.0', '288840.0', '288850.0', '288860.0', '288870.0', '288880.0', '288890.0', '288910.0', '288920.0', '288930.0', '288940.0', '288980.0', '288990.0', '289000.0', '289010.0', '289020.0', '289050.0', '289090.0', '289130.0', '289150.0', '289160.0', '289170.0', '289180.0', '289190.0', '289200.0', '289220.0', '289240.0', '289260.0', '289280.0', '289350.0', '289370.0']","[0, 2, 6, 0, 0, 0, 8, 13, 16, 3, 8, 11, 28, 16, 0, 0, 13, 9, 11, 0, 30, 7, 2, 8, 12, 24, 6, 0, 21, 6, 13, 101, 0, 28, 7, 16, 13, 20]","[4, 0, 0, 4, 5, 16, 5, 13, 6, 8, 0, 0, 4, 0, 16, 2, 19, 0, 0, 24, 0, 0, 0, 0, 24, 9, 8, 10, 0, 13, 11, 18, 10, 6, 0, 94, 0, 0]",sn2504,2025-03-14 00:55:00,129.0,289180.0,288910.0,289370.0,288700.0,903,3,289055.0,289055.0,289055.0,139.0
+"['278420.0', '278460.0', '278480.0', '278540.0', '278550.0', '278560.0', '278570.0', '278590.0', '278600.0', '278610.0', '278620.0', '278630.0', '278640.0', '278650.0', '278660.0', '278670.0']","[0, 0, 0, 0, 0, 9, 0, 3, 0, 11, 38, 34, 0, 8, 0, 6]","[18, 77, 45, 113, 18, 0, 27, 7, 7, 7, 19, 12, 3, 6, 6, 2]",sn2504,2025-03-19 21:15:00,-258.0,278420.0,278620.0,278670.0,278420.0,520,-2,278420.0,278420.0,278420.0,-258.0
diff --git a/999.账户相关/simnow_trader/ofdata/sp2505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/sp2505_ofdata.csv
new file mode 100644
index 0000000..4a1d893
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/sp2505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['5844.0', '5846.0']","[0, 77]","[15, 0]",sp2505,2025-03-19 21:15:00,62.0,5844.0,5846.0,5846.0,5844.0,92,0,5844.0,5844.0,5844.0,62.0
diff --git a/999.账户相关/simnow_trader/ofdata/ss2505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/ss2505_ofdata.csv
index af3f3b8..8383c86 100644
--- a/999.账户相关/simnow_trader/ofdata/ss2505_ofdata.csv
+++ b/999.账户相关/simnow_trader/ofdata/ss2505_ofdata.csv
@@ -7,3 +7,4 @@ price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_
 "['13615.0', '13620.0']","[0, 8]","[6, 0]",ss2505,2025-03-14 00:53:00,2.0,13620.0,13615.0,13620.0,13615.0,14,0,13620.0,13620.0,13620.0,-100.0
 ['13615.0'],[0],[3],ss2505,2025-03-14 00:54:00,-3.0,13615.0,13615.0,13615.0,13615.0,3,0,13615.0,13615.0,13615.0,-3.0
 "['13615.0', '13620.0']","[0, 21]","[19, 0]",ss2505,2025-03-14 00:55:00,2.0,13615.0,13620.0,13620.0,13615.0,40,0,13615.0,13615.0,13615.0,-1.0
+"['13505.0', '13510.0']","[83, 11]","[289, 72]",ss2505,2025-03-19 21:15:00,-267.0,13505.0,13510.0,13510.0,13505.0,455,0,13505.0,13505.0,13505.0,-267.0
diff --git a/999.账户相关/simnow_trader/ofdata/v2505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/v2505_ofdata.csv
new file mode 100644
index 0000000..698b807
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/v2505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['5029.0', '5030.0', '5031.0']","[0, 48, 93]","[4, 653, 0]",v2505,2025-03-19 21:15:00,-516.0,5030.0,5031.0,5031.0,5029.0,798,0,5030.0,5030.0,5030.0,-516.0
diff --git a/999.账户相关/simnow_trader/ofdata/y2505_ofdata.csv b/999.账户相关/simnow_trader/ofdata/y2505_ofdata.csv
new file mode 100644
index 0000000..6ac7479
--- /dev/null
+++ b/999.账户相关/simnow_trader/ofdata/y2505_ofdata.csv
@@ -0,0 +1,2 @@
+price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_MA,delta累计
+"['8044.0', '8046.0', '8048.0', '8050.0']","[0, 83, 63, 7]","[19, 200, 128, 0]",y2505,2025-03-19 21:15:00,-194.0,8046.0,8046.0,8050.0,8044.0,500,0,8046.0,8046.0,8046.0,-194.0
diff --git a/999.账户相关/simnow_trader/ofdata/zn2504_ofdata.csv b/999.账户相关/simnow_trader/ofdata/zn2504_ofdata.csv
index 044affa..512b49e 100644
--- a/999.账户相关/simnow_trader/ofdata/zn2504_ofdata.csv
+++ b/999.账户相关/simnow_trader/ofdata/zn2504_ofdata.csv
@@ -9,3 +9,4 @@ price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj,dayma,5_MA,10_
 "['24100.0', '24105.0', '24110.0', '24115.0', '24120.0']","[0, 70, 6, 4, 22]","[39, 53, 38, 23, 0]",zn2504,2025-03-14 00:53:00,-51.0,24110.0,24115.0,24120.0,24100.0,288,0,24148.125,24136.0,24148.125,-299.0
 "['24105.0', '24110.0']","[0, 2]","[2, 0]",zn2504,2025-03-14 00:54:00,0.0,24110.0,24105.0,24110.0,24105.0,4,0,24110.0,24110.0,24110.0,0.0
 "['24105.0', '24110.0', '24115.0', '24120.0']","[0, 31, 24, 1]","[9, 40, 18, 0]",zn2504,2025-03-14 00:55:00,-11.0,24115.0,24110.0,24120.0,24105.0,129,0,24112.5,24112.5,24112.5,-11.0
+"['23775.0', '23780.0', '23785.0', '23790.0']","[0, 14, 42, 6]","[58, 62, 12, 0]",zn2504,2025-03-19 21:15:00,-70.0,23775.0,23790.0,23790.0,23775.0,195,0,23775.0,23775.0,23775.0,-70.0
diff --git a/999.账户相关/simnow_trader/tickdata/ag2504_tick.csv b/999.账户相关/simnow_trader/tickdata/ag2504_tick.csv
deleted file mode 100644
index 4d65a95..0000000
--- a/999.账户相关/simnow_trader/tickdata/ag2504_tick.csv
+++ /dev/null
@@ -1,1319 +0,0 @@
-datetime,symbol,lastprice,volume,bid_p,bid_v,ask_p,ask_v,bartime,open,high,low,close,starttime
-2025-03-14 00:55:59,ag2504,8316.0,2,8315.0,70,8316.0,46,2025-03-14 00:55:59,8316.0,8316.0,8316.0,8316.0,2025-03-14 00:55:59
-2025-03-14 00:55:59.500000,ag2504,8316.0,3,8315.0,70,8316.0,46,2025-03-14 01:00:00,8316.0,8316.0,8316.0,8316.0,2025-03-14 00:55:59
-2025-03-14 00:56:00,ag2504,8316.0,2,8315.0,70,8316.0,44,2025-03-14 01:00:00,8316.0,8316.0,8316.0,8316.0,2025-03-14 00:55:59
-2025-03-14 00:56:00.500000,ag2504,8316.0,10,8315.0,64,8316.0,52,2025-03-14 01:00:00,8316.0,8316.0,8316.0,8316.0,2025-03-14 00:55:59
-2025-03-14 00:56:01,ag2504,8315.0,77,8315.0,64,8316.0,51,2025-03-14 01:00:00,8316.0,8316.0,8315.0,8315.0,2025-03-14 00:55:59
-2025-03-14 00:56:01.500000,ag2504,8314.0,26,8314.0,45,8315.0,64,2025-03-14 01:00:00,8316.0,8316.0,8314.0,8314.0,2025-03-14 00:55:59
-2025-03-14 00:56:02,ag2504,8314.0,8,8313.0,47,8314.0,1,2025-03-14 01:00:00,8316.0,8316.0,8314.0,8314.0,2025-03-14 00:55:59
-2025-03-14 00:56:02.500000,ag2504,8314.0,2,8313.0,41,8314.0,51,2025-03-14 01:00:00,8316.0,8316.0,8314.0,8314.0,2025-03-14 00:55:59
-2025-03-14 00:56:03,ag2504,8314.0,42,8313.0,41,8314.0,52,2025-03-14 01:00:00,8316.0,8316.0,8314.0,8314.0,2025-03-14 00:55:59
-2025-03-14 00:56:03.500000,ag2504,8313.0,17,8313.0,38,8314.0,9,2025-03-14 01:00:00,8316.0,8316.0,8313.0,8313.0,2025-03-14 00:55:59
-2025-03-14 00:56:04,ag2504,8314.0,54,8313.0,60,8314.0,1,2025-03-14 01:00:00,8316.0,8316.0,8313.0,8314.0,2025-03-14 00:55:59
-2025-03-14 00:56:04.500000,ag2504,8313.0,6,8313.0,16,8314.0,3,2025-03-14 01:00:00,8316.0,8316.0,8313.0,8313.0,2025-03-14 00:55:59
-2025-03-14 00:56:05,ag2504,8313.0,53,8313.0,48,8314.0,43,2025-03-14 01:00:00,8316.0,8316.0,8313.0,8313.0,2025-03-14 00:55:59
-2025-03-14 00:56:05.500000,ag2504,8313.0,28,8313.0,7,8314.0,30,2025-03-14 01:00:00,8316.0,8316.0,8313.0,8313.0,2025-03-14 00:55:59
-2025-03-14 00:56:06,ag2504,8313.0,14,8312.0,100,8313.0,42,2025-03-14 01:00:00,8316.0,8316.0,8313.0,8313.0,2025-03-14 00:55:59
-2025-03-14 00:56:06.500000,ag2504,8313.0,7,8312.0,98,8313.0,60,2025-03-14 01:00:00,8316.0,8316.0,8313.0,8313.0,2025-03-14 00:55:59
-2025-03-14 00:56:07,ag2504,8312.0,41,8312.0,91,8313.0,61,2025-03-14 01:00:00,8316.0,8316.0,8312.0,8312.0,2025-03-14 00:55:59
-2025-03-14 00:56:07.500000,ag2504,8312.0,26,8312.0,48,8313.0,58,2025-03-14 01:00:00,8316.0,8316.0,8312.0,8312.0,2025-03-14 00:55:59
-2025-03-14 00:56:08,ag2504,8312.0,51,8312.0,25,8313.0,60,2025-03-14 01:00:00,8316.0,8316.0,8312.0,8312.0,2025-03-14 00:55:59
-2025-03-14 00:56:08.500000,ag2504,8311.0,75,8311.0,58,8312.0,29,2025-03-14 01:00:00,8316.0,8316.0,8311.0,8311.0,2025-03-14 00:55:59
-2025-03-14 00:56:09,ag2504,8312.0,23,8311.0,21,8312.0,34,2025-03-14 01:00:00,8316.0,8316.0,8311.0,8312.0,2025-03-14 00:55:59
-2025-03-14 00:56:09.500000,ag2504,8311.0,19,8311.0,9,8312.0,45,2025-03-14 01:00:00,8316.0,8316.0,8311.0,8311.0,2025-03-14 00:55:59
-2025-03-14 00:56:10,ag2504,8311.0,29,8311.0,15,8312.0,56,2025-03-14 01:00:00,8316.0,8316.0,8311.0,8311.0,2025-03-14 00:55:59
-2025-03-14 00:56:10.500000,ag2504,8311.0,30,8311.0,3,8312.0,54,2025-03-14 01:00:00,8316.0,8316.0,8311.0,8311.0,2025-03-14 00:55:59
-2025-03-14 00:56:11,ag2504,8311.0,27,8311.0,12,8312.0,53,2025-03-14 01:00:00,8316.0,8316.0,8311.0,8311.0,2025-03-14 00:55:59
-2025-03-14 00:56:11.500000,ag2504,8312.0,22,8311.0,52,8312.0,53,2025-03-14 01:00:00,8316.0,8316.0,8311.0,8312.0,2025-03-14 00:55:59
-2025-03-14 00:56:12,ag2504,8312.0,39,8311.0,63,8312.0,48,2025-03-14 01:00:00,8316.0,8316.0,8311.0,8312.0,2025-03-14 00:55:59
-2025-03-14 00:56:12.500000,ag2504,8311.0,12,8311.0,37,8312.0,66,2025-03-14 01:00:00,8316.0,8316.0,8311.0,8311.0,2025-03-14 00:55:59
-2025-03-14 00:56:13,ag2504,8312.0,13,8311.0,17,8312.0,62,2025-03-14 01:00:00,8316.0,8316.0,8311.0,8312.0,2025-03-14 00:55:59
-2025-03-14 00:56:13.500000,ag2504,8312.0,45,8311.0,17,8312.0,54,2025-03-14 01:00:00,8316.0,8316.0,8311.0,8312.0,2025-03-14 00:55:59
-2025-03-14 00:56:14,ag2504,8310.0,23,8311.0,3,8312.0,52,2025-03-14 01:00:00,8316.0,8316.0,8310.0,8310.0,2025-03-14 00:55:59
-2025-03-14 00:56:14.500000,ag2504,8311.0,71,8310.0,99,8312.0,59,2025-03-14 01:00:00,8316.0,8316.0,8310.0,8311.0,2025-03-14 00:55:59
-2025-03-14 00:56:15,ag2504,8311.0,7,8310.0,83,8311.0,25,2025-03-14 01:00:00,8316.0,8316.0,8310.0,8311.0,2025-03-14 00:55:59
-2025-03-14 00:56:15.500000,ag2504,8310.0,1,8310.0,82,8311.0,54,2025-03-14 01:00:00,8316.0,8316.0,8310.0,8310.0,2025-03-14 00:55:59
-2025-03-14 00:56:16,ag2504,8311.0,16,8310.0,83,8311.0,63,2025-03-14 01:00:00,8316.0,8316.0,8310.0,8311.0,2025-03-14 00:55:59
-2025-03-14 00:56:16.500000,ag2504,8310.0,30,8310.0,71,8311.0,57,2025-03-14 01:00:00,8316.0,8316.0,8310.0,8310.0,2025-03-14 00:55:59
-2025-03-14 00:56:17,ag2504,8311.0,23,8310.0,42,8311.0,58,2025-03-14 01:00:00,8316.0,8316.0,8310.0,8311.0,2025-03-14 00:55:59
-2025-03-14 00:56:17.500000,ag2504,8311.0,18,8310.0,31,8311.0,65,2025-03-14 01:00:00,8316.0,8316.0,8310.0,8311.0,2025-03-14 00:55:59
-2025-03-14 00:56:18,ag2504,8310.0,14,8310.0,19,8311.0,60,2025-03-14 01:00:00,8316.0,8316.0,8310.0,8310.0,2025-03-14 00:55:59
-2025-03-14 00:56:18.500000,ag2504,8310.0,12,8310.0,5,8311.0,66,2025-03-14 01:00:00,8316.0,8316.0,8310.0,8310.0,2025-03-14 00:55:59
-2025-03-14 00:56:19,ag2504,8310.0,23,8309.0,75,8310.0,15,2025-03-14 01:00:00,8316.0,8316.0,8310.0,8310.0,2025-03-14 00:55:59
-2025-03-14 00:56:19.500000,ag2504,8310.0,10,8310.0,11,8311.0,99,2025-03-14 01:00:00,8316.0,8316.0,8310.0,8310.0,2025-03-14 00:55:59
-2025-03-14 00:56:20,ag2504,8310.0,21,8310.0,22,8311.0,106,2025-03-14 01:00:00,8316.0,8316.0,8310.0,8310.0,2025-03-14 00:55:59
-2025-03-14 00:56:20.500000,ag2504,8310.0,13,8309.0,76,8310.0,3,2025-03-14 01:00:00,8316.0,8316.0,8310.0,8310.0,2025-03-14 00:55:59
-2025-03-14 00:56:21,ag2504,8310.0,4,8309.0,72,8310.0,39,2025-03-14 01:00:00,8316.0,8316.0,8310.0,8310.0,2025-03-14 00:55:59
-2025-03-14 00:56:21.500000,ag2504,8311.0,53,8309.0,73,8310.0,40,2025-03-14 01:00:00,8316.0,8316.0,8310.0,8311.0,2025-03-14 00:55:59
-2025-03-14 00:56:22,ag2504,8310.0,28,8310.0,7,8311.0,98,2025-03-14 01:00:00,8316.0,8316.0,8310.0,8310.0,2025-03-14 00:55:59
-2025-03-14 00:56:22.500000,ag2504,8310.0,3,8310.0,22,8311.0,96,2025-03-14 01:00:00,8316.0,8316.0,8310.0,8310.0,2025-03-14 00:55:59
-2025-03-14 00:56:23,ag2504,8310.0,66,8310.0,41,8311.0,73,2025-03-14 01:00:00,8316.0,8316.0,8310.0,8310.0,2025-03-14 00:55:59
-2025-03-14 00:56:23.500000,ag2504,8311.0,17,8310.0,53,8311.0,5,2025-03-14 01:00:00,8316.0,8316.0,8310.0,8311.0,2025-03-14 00:55:59
-2025-03-14 00:56:24,ag2504,8311.0,14,8311.0,10,8312.0,31,2025-03-14 01:00:00,8316.0,8316.0,8310.0,8311.0,2025-03-14 00:55:59
-2025-03-14 00:56:24.500000,ag2504,8311.0,33,8311.0,13,8312.0,63,2025-03-14 01:00:00,8316.0,8316.0,8310.0,8311.0,2025-03-14 00:55:59
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-2025-03-14 01:07:19,ag2504,8310.0,1,8309.0,51,8310.0,83,2025-03-14 01:10:00,8307.0,8311.0,8306.0,8310.0,2025-03-14 01:05:00.500000
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-2025-03-14 01:07:41,ag2504,8313.0,15,8312.0,13,8313.0,40,2025-03-14 01:10:00,8307.0,8313.0,8306.0,8313.0,2025-03-14 01:05:00.500000
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-2025-03-14 01:07:42,ag2504,8312.0,23,8312.0,34,8313.0,25,2025-03-14 01:10:00,8307.0,8313.0,8306.0,8312.0,2025-03-14 01:05:00.500000
-2025-03-14 01:07:42.500000,ag2504,8313.0,22,8312.0,32,8313.0,45,2025-03-14 01:10:00,8307.0,8313.0,8306.0,8313.0,2025-03-14 01:05:00.500000
-2025-03-14 01:07:43,ag2504,8313.0,16,8312.0,16,8313.0,48,2025-03-14 01:10:00,8307.0,8313.0,8306.0,8313.0,2025-03-14 01:05:00.500000
-2025-03-14 01:07:43.500000,ag2504,8313.0,15,8312.0,14,8313.0,46,2025-03-14 01:10:00,8307.0,8313.0,8306.0,8313.0,2025-03-14 01:05:00.500000
-2025-03-14 01:07:44,ag2504,8313.0,50,8312.0,6,8313.0,51,2025-03-14 01:10:00,8307.0,8313.0,8306.0,8313.0,2025-03-14 01:05:00.500000
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-2025-03-14 01:07:45.500000,ag2504,8313.0,17,8312.0,58,8313.0,30,2025-03-14 01:10:00,8307.0,8313.0,8306.0,8313.0,2025-03-14 01:05:00.500000
-2025-03-14 01:07:46,ag2504,8313.0,59,8312.0,61,8313.0,6,2025-03-14 01:10:00,8307.0,8313.0,8306.0,8313.0,2025-03-14 01:05:00.500000
-2025-03-14 01:07:46.500000,ag2504,8312.0,2,8312.0,35,8313.0,1,2025-03-14 01:10:00,8307.0,8313.0,8306.0,8312.0,2025-03-14 01:05:00.500000
-2025-03-14 01:07:47,ag2504,8313.0,37,8312.0,40,8313.0,40,2025-03-14 01:10:00,8307.0,8313.0,8306.0,8313.0,2025-03-14 01:05:00.500000
-2025-03-14 01:07:47.500000,ag2504,8313.0,45,8312.0,43,8313.0,39,2025-03-14 01:10:00,8307.0,8313.0,8306.0,8313.0,2025-03-14 01:05:00.500000
-2025-03-14 01:07:48,ag2504,8314.0,8,8313.0,13,8314.0,52,2025-03-14 01:10:00,8307.0,8314.0,8306.0,8314.0,2025-03-14 01:05:00.500000
-2025-03-14 01:07:48.500000,ag2504,8313.0,26,8313.0,6,8314.0,56,2025-03-14 01:10:00,8307.0,8314.0,8306.0,8313.0,2025-03-14 01:05:00.500000
-2025-03-14 01:07:49,ag2504,8313.0,4,8312.0,35,8313.0,1,2025-03-14 01:10:00,8307.0,8314.0,8306.0,8313.0,2025-03-14 01:05:00.500000
-2025-03-14 01:07:49.500000,ag2504,8313.0,4,8312.0,66,8313.0,2,2025-03-14 01:10:00,8307.0,8314.0,8306.0,8313.0,2025-03-14 01:05:00.500000
-2025-03-14 01:07:50,ag2504,8312.0,14,8312.0,67,8313.0,4,2025-03-14 01:10:00,8307.0,8314.0,8306.0,8312.0,2025-03-14 01:05:00.500000
-2025-03-14 01:07:50.500000,ag2504,8313.0,11,8312.0,56,8313.0,26,2025-03-14 01:10:00,8307.0,8314.0,8306.0,8313.0,2025-03-14 01:05:00.500000
-2025-03-14 01:07:51,ag2504,8313.0,13,8312.0,24,8313.0,61,2025-03-14 01:10:00,8307.0,8314.0,8306.0,8313.0,2025-03-14 01:05:00.500000
-2025-03-14 01:07:51.500000,ag2504,8313.0,1,8312.0,24,8313.0,96,2025-03-14 01:10:00,8307.0,8314.0,8306.0,8313.0,2025-03-14 01:05:00.500000
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-2025-03-14 01:07:53,ag2504,8313.0,36,8312.0,10,8313.0,108,2025-03-14 01:10:00,8307.0,8314.0,8306.0,8313.0,2025-03-14 01:05:00.500000
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-2025-03-14 01:07:55,ag2504,8311.0,2,8311.0,33,8312.0,77,2025-03-14 01:10:00,8307.0,8314.0,8306.0,8311.0,2025-03-14 01:05:00.500000
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-2025-03-14 01:07:56,ag2504,8311.0,1,8311.0,30,8312.0,82,2025-03-14 01:10:00,8307.0,8314.0,8306.0,8311.0,2025-03-14 01:05:00.500000
diff --git a/999.账户相关/simnow_trader/tickdata/al2505_tick.csv b/999.账户相关/simnow_trader/tickdata/al2505_tick.csv
deleted file mode 100644
index 3c0a30e..0000000
--- a/999.账户相关/simnow_trader/tickdata/al2505_tick.csv
+++ /dev/null
@@ -1,98 +0,0 @@
-datetime,symbol,lastprice,volume,bid_p,bid_v,ask_p,ask_v,bartime,open,high,low,close,starttime
-2025-03-14 00:56:00.500000,al2505,21005.0,1,21000.0,113,21005.0,37,2025-03-14 00:56:00.500,21005.0,21005.0,21005.0,21005.0,2025-03-14 00:56:00.500000
-2025-03-14 00:56:06.500000,al2505,21005.0,5,21000.0,113,21005.0,37,2025-03-14 01:00:00,21005.0,21005.0,21005.0,21005.0,2025-03-14 00:56:00.500000
-2025-03-14 00:56:12.500000,al2505,21005.0,4,21000.0,113,21005.0,75,2025-03-14 01:00:00,21005.0,21005.0,21005.0,21005.0,2025-03-14 00:56:00.500000
-2025-03-14 00:56:13,al2505,21005.0,4,21000.0,114,21005.0,70,2025-03-14 01:00:00,21005.0,21005.0,21005.0,21005.0,2025-03-14 00:56:00.500000
-2025-03-14 00:56:13.500000,al2505,21005.0,22,21000.0,114,21005.0,66,2025-03-14 01:00:00,21005.0,21005.0,21005.0,21005.0,2025-03-14 00:56:00.500000
-2025-03-14 00:56:14,al2505,21005.0,44,21000.0,114,21005.0,44,2025-03-14 01:00:00,21005.0,21005.0,21005.0,21005.0,2025-03-14 00:56:00.500000
-2025-03-14 00:56:15.500000,al2505,21005.0,6,21005.0,12,21010.0,123,2025-03-14 01:00:00,21005.0,21005.0,21005.0,21005.0,2025-03-14 00:56:00.500000
-2025-03-14 00:56:16,al2505,21005.0,4,21000.0,115,21005.0,4,2025-03-14 01:00:00,21005.0,21005.0,21005.0,21005.0,2025-03-14 00:56:00.500000
-2025-03-14 00:56:21.500000,al2505,21005.0,1,21000.0,119,21005.0,23,2025-03-14 01:00:00,21005.0,21005.0,21005.0,21005.0,2025-03-14 00:56:00.500000
-2025-03-14 00:56:28,al2505,21000.0,1,21000.0,95,21005.0,93,2025-03-14 01:00:00,21005.0,21005.0,21000.0,21000.0,2025-03-14 00:56:00.500000
-2025-03-14 00:56:31,al2505,21000.0,5,21000.0,85,21005.0,94,2025-03-14 01:00:00,21005.0,21005.0,21000.0,21000.0,2025-03-14 00:56:00.500000
-2025-03-14 00:56:32,al2505,21000.0,11,21000.0,36,21005.0,98,2025-03-14 01:00:00,21005.0,21005.0,21000.0,21000.0,2025-03-14 00:56:00.500000
-2025-03-14 00:56:32.500000,al2505,21000.0,26,21000.0,26,21005.0,103,2025-03-14 01:00:00,21005.0,21005.0,21000.0,21000.0,2025-03-14 00:56:00.500000
-2025-03-14 00:56:33,al2505,20995.0,2,20995.0,90,21000.0,1,2025-03-14 01:00:00,21005.0,21005.0,20995.0,20995.0,2025-03-14 00:56:00.500000
-2025-03-14 00:56:35.500000,al2505,20995.0,3,20995.0,100,21000.0,4,2025-03-14 01:00:00,21005.0,21005.0,20995.0,20995.0,2025-03-14 00:56:00.500000
-2025-03-14 00:56:36,al2505,20995.0,1,20995.0,97,21000.0,4,2025-03-14 01:00:00,21005.0,21005.0,20995.0,20995.0,2025-03-14 00:56:00.500000
-2025-03-14 00:56:40.500000,al2505,20995.0,3,20995.0,96,21000.0,4,2025-03-14 01:00:00,21005.0,21005.0,20995.0,20995.0,2025-03-14 00:56:00.500000
-2025-03-14 00:56:42,al2505,20995.0,3,20995.0,95,21000.0,5,2025-03-14 01:00:00,21005.0,21005.0,20995.0,20995.0,2025-03-14 00:56:00.500000
-2025-03-14 00:56:46.500000,al2505,21000.0,1,20995.0,92,21000.0,5,2025-03-14 01:00:00,21005.0,21005.0,20995.0,21000.0,2025-03-14 00:56:00.500000
-2025-03-14 00:56:48,al2505,20995.0,1,20995.0,94,21000.0,4,2025-03-14 01:00:00,21005.0,21005.0,20995.0,20995.0,2025-03-14 00:56:00.500000
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diff --git a/999.账户相关/simnow_trader/tickdata/ao2505_tick.csv b/999.账户相关/simnow_trader/tickdata/ao2505_tick.csv
deleted file mode 100644
index 0c7849c..0000000
--- a/999.账户相关/simnow_trader/tickdata/ao2505_tick.csv
+++ /dev/null
@@ -1,179 +0,0 @@
-datetime,symbol,lastprice,volume,bid_p,bid_v,ask_p,ask_v,bartime,open,high,low,close,starttime
-2025-03-14 00:55:59.500000,ao2505,3127.0,7,3126.0,143,3127.0,88,2025-03-14 00:55:59.500,3127.0,3127.0,3127.0,3127.0,2025-03-14 00:55:59.500000
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-2025-03-14 00:56:11,ao2505,3127.0,2,3126.0,123,3127.0,87,2025-03-14 01:00:00,3127.0,3127.0,3126.0,3127.0,2025-03-14 00:55:59.500000
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-2025-03-14 00:56:16.500000,ao2505,3126.0,1,3126.0,123,3127.0,84,2025-03-14 01:00:00,3127.0,3127.0,3126.0,3126.0,2025-03-14 00:55:59.500000
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-2025-03-14 00:56:23,ao2505,3126.0,1,3126.0,143,3127.0,83,2025-03-14 01:00:00,3127.0,3127.0,3126.0,3126.0,2025-03-14 00:55:59.500000
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-2025-03-14 00:56:25,ao2505,3126.0,8,3126.0,143,3127.0,93,2025-03-14 01:00:00,3127.0,3127.0,3126.0,3126.0,2025-03-14 00:55:59.500000
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diff --git a/999.账户相关/simnow_trader/tickdata/au2504_tick.csv b/999.账户相关/simnow_trader/tickdata/au2504_tick.csv
deleted file mode 100644
index 9d4fb74..0000000
--- a/999.账户相关/simnow_trader/tickdata/au2504_tick.csv
+++ /dev/null
@@ -1,1076 +0,0 @@
-datetime,symbol,lastprice,volume,bid_p,bid_v,ask_p,ask_v,bartime,open,high,low,close,starttime
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diff --git a/999.账户相关/simnow_trader/tickdata/bc2504_tick.csv b/999.账户相关/simnow_trader/tickdata/bc2504_tick.csv
deleted file mode 100644
index 7a72051..0000000
--- a/999.账户相关/simnow_trader/tickdata/bc2504_tick.csv
+++ /dev/null
@@ -1,15 +0,0 @@
-datetime,symbol,lastprice,volume,bid_p,bid_v,ask_p,ask_v,bartime,open,high,low,close,starttime
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diff --git a/999.账户相关/simnow_trader/tickdata/cu2505_tick.csv b/999.账户相关/simnow_trader/tickdata/cu2505_tick.csv
deleted file mode 100644
index f775020..0000000
--- a/999.账户相关/simnow_trader/tickdata/cu2505_tick.csv
+++ /dev/null
@@ -1,156 +0,0 @@
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-2025-03-14 00:59:09.500000,cu2505,79810.0,1,79800.0,16,79810.0,16,2025-03-14 01:00:00,79780.0,79810.0,79760.0,79810.0,2025-03-14 00:56:00
-2025-03-14 00:59:10,cu2505,79800.0,3,79800.0,15,79810.0,17,2025-03-14 01:00:00,79780.0,79810.0,79760.0,79800.0,2025-03-14 00:56:00
-2025-03-14 00:59:11,cu2505,79810.0,1,79800.0,12,79810.0,17,2025-03-14 01:00:00,79780.0,79810.0,79760.0,79810.0,2025-03-14 00:56:00
-2025-03-14 00:59:11.500000,cu2505,79800.0,2,79800.0,9,79810.0,16,2025-03-14 01:00:00,79780.0,79810.0,79760.0,79800.0,2025-03-14 00:56:00
-2025-03-14 00:59:12,cu2505,79800.0,11,79800.0,7,79810.0,16,2025-03-14 01:00:00,79780.0,79810.0,79760.0,79800.0,2025-03-14 00:56:00
-2025-03-14 00:59:12.500000,cu2505,79810.0,9,79800.0,3,79810.0,10,2025-03-14 01:00:00,79780.0,79810.0,79760.0,79810.0,2025-03-14 00:56:00
-2025-03-14 00:59:13.500000,cu2505,79800.0,3,79790.0,51,79810.0,10,2025-03-14 01:00:00,79780.0,79810.0,79760.0,79800.0,2025-03-14 00:56:00
-2025-03-14 00:59:14,cu2505,79800.0,1,79790.0,49,79800.0,4,2025-03-14 01:00:00,79780.0,79810.0,79760.0,79800.0,2025-03-14 00:56:00
-2025-03-14 00:59:14.500000,cu2505,79800.0,9,79790.0,49,79800.0,3,2025-03-14 01:00:00,79780.0,79810.0,79760.0,79800.0,2025-03-14 00:56:00
-2025-03-14 00:59:15,cu2505,79800.0,6,79790.0,49,79800.0,2,2025-03-14 01:00:00,79780.0,79810.0,79760.0,79800.0,2025-03-14 00:56:00
-2025-03-14 00:59:15.500000,cu2505,79800.0,2,79800.0,4,79810.0,8,2025-03-14 01:00:00,79780.0,79810.0,79760.0,79800.0,2025-03-14 00:56:00
-2025-03-14 00:59:16,cu2505,79790.0,24,79800.0,7,79810.0,21,2025-03-14 01:00:00,79780.0,79810.0,79760.0,79790.0,2025-03-14 00:56:00
-2025-03-14 00:59:16.500000,cu2505,79800.0,2,79790.0,29,79810.0,21,2025-03-14 01:00:00,79780.0,79810.0,79760.0,79800.0,2025-03-14 00:56:00
-2025-03-14 00:59:17,cu2505,79800.0,14,79790.0,27,79800.0,17,2025-03-14 01:00:00,79780.0,79810.0,79760.0,79800.0,2025-03-14 00:56:00
-2025-03-14 00:59:17.500000,cu2505,79800.0,3,79790.0,27,79800.0,3,2025-03-14 01:00:00,79780.0,79810.0,79760.0,79800.0,2025-03-14 00:56:00
-2025-03-14 00:59:18,cu2505,79810.0,2,79800.0,2,79810.0,23,2025-03-14 01:00:00,79780.0,79810.0,79760.0,79810.0,2025-03-14 00:56:00
-2025-03-14 00:59:19.500000,cu2505,79800.0,7,79800.0,2,79810.0,19,2025-03-14 01:00:00,79780.0,79810.0,79760.0,79800.0,2025-03-14 00:56:00
-2025-03-14 00:59:20.500000,cu2505,79800.0,19,79790.0,28,79800.0,13,2025-03-14 01:00:00,79780.0,79810.0,79760.0,79800.0,2025-03-14 00:56:00
-2025-03-14 00:59:21,cu2505,79800.0,6,79790.0,29,79800.0,6,2025-03-14 01:00:00,79780.0,79810.0,79760.0,79800.0,2025-03-14 00:56:00
-2025-03-14 00:59:23,cu2505,79800.0,13,79800.0,1,79810.0,7,2025-03-14 01:00:00,79780.0,79810.0,79760.0,79800.0,2025-03-14 00:56:00
-2025-03-14 00:59:23.500000,cu2505,79810.0,9,79790.0,30,79800.0,2,2025-03-14 01:00:00,79780.0,79810.0,79760.0,79810.0,2025-03-14 00:56:00
-2025-03-14 00:59:24,cu2505,79820.0,1,79810.0,3,79820.0,25,2025-03-14 01:00:00,79780.0,79820.0,79760.0,79820.0,2025-03-14 00:56:00
-2025-03-14 00:59:24.500000,cu2505,79810.0,2,79810.0,7,79820.0,17,2025-03-14 01:00:00,79780.0,79820.0,79760.0,79810.0,2025-03-14 00:56:00
-2025-03-14 00:59:25.500000,cu2505,79810.0,2,79810.0,8,79820.0,1,2025-03-14 01:00:00,79780.0,79820.0,79760.0,79810.0,2025-03-14 00:56:00
-2025-03-14 00:59:26,cu2505,79820.0,2,79810.0,4,79820.0,14,2025-03-14 01:00:00,79780.0,79820.0,79760.0,79820.0,2025-03-14 00:56:00
-2025-03-14 00:59:29.500000,cu2505,79810.0,4,79810.0,4,79820.0,12,2025-03-14 01:00:00,79780.0,79820.0,79760.0,79810.0,2025-03-14 00:56:00
-2025-03-14 00:59:32,cu2505,79810.0,1,79810.0,2,79820.0,9,2025-03-14 01:00:00,79780.0,79820.0,79760.0,79810.0,2025-03-14 00:56:00
-2025-03-14 00:59:32.500000,cu2505,79820.0,1,79810.0,21,79820.0,14,2025-03-14 01:00:00,79780.0,79820.0,79760.0,79820.0,2025-03-14 00:56:00
-2025-03-14 00:59:33,cu2505,79820.0,5,79810.0,21,79820.0,13,2025-03-14 01:00:00,79780.0,79820.0,79760.0,79820.0,2025-03-14 00:56:00
-2025-03-14 00:59:34,cu2505,79820.0,1,79810.0,22,79820.0,8,2025-03-14 01:00:00,79780.0,79820.0,79760.0,79820.0,2025-03-14 00:56:00
-2025-03-14 00:59:35.500000,cu2505,79820.0,1,79810.0,22,79820.0,7,2025-03-14 01:00:00,79780.0,79820.0,79760.0,79820.0,2025-03-14 00:56:00
-2025-03-14 00:59:37.500000,cu2505,79820.0,11,79810.0,22,79820.0,6,2025-03-14 01:00:00,79780.0,79820.0,79760.0,79820.0,2025-03-14 00:56:00
-2025-03-14 00:59:38,cu2505,79820.0,7,79820.0,5,79830.0,13,2025-03-14 01:00:00,79780.0,79820.0,79760.0,79820.0,2025-03-14 00:56:00
-2025-03-14 00:59:38.500000,cu2505,79820.0,1,79820.0,1,79830.0,12,2025-03-14 01:00:00,79780.0,79820.0,79760.0,79820.0,2025-03-14 00:56:00
-2025-03-14 00:59:44.500000,cu2505,79820.0,4,79820.0,2,79830.0,13,2025-03-14 01:00:00,79780.0,79820.0,79760.0,79820.0,2025-03-14 00:56:00
-2025-03-14 00:59:45,cu2505,79830.0,7,79820.0,13,79830.0,13,2025-03-14 01:00:00,79780.0,79830.0,79760.0,79830.0,2025-03-14 00:56:00
-2025-03-14 00:59:47,cu2505,79830.0,2,79820.0,13,79830.0,6,2025-03-14 01:00:00,79780.0,79830.0,79760.0,79830.0,2025-03-14 00:56:00
-2025-03-14 00:59:49,cu2505,79830.0,4,79820.0,13,79830.0,4,2025-03-14 01:00:00,79780.0,79830.0,79760.0,79830.0,2025-03-14 00:56:00
-2025-03-14 00:59:49.500000,cu2505,79820.0,3,79820.0,14,79830.0,1,2025-03-14 01:00:00,79780.0,79830.0,79760.0,79820.0,2025-03-14 00:56:00
-2025-03-14 00:59:50.500000,cu2505,79840.0,6,79820.0,13,79840.0,11,2025-03-14 01:00:00,79780.0,79840.0,79760.0,79840.0,2025-03-14 00:56:00
-2025-03-14 00:59:51.500000,cu2505,79840.0,2,79820.0,10,79840.0,9,2025-03-14 01:00:00,79780.0,79840.0,79760.0,79840.0,2025-03-14 00:56:00
-2025-03-14 00:59:53,cu2505,79820.0,8,79820.0,10,79840.0,6,2025-03-14 01:00:00,79780.0,79840.0,79760.0,79820.0,2025-03-14 00:56:00
-2025-03-14 00:59:53.500000,cu2505,79820.0,3,79820.0,2,79830.0,1,2025-03-14 01:00:00,79780.0,79840.0,79760.0,79820.0,2025-03-14 00:56:00
-2025-03-14 00:59:55,cu2505,79820.0,1,79810.0,1,79840.0,6,2025-03-14 01:00:00,79780.0,79840.0,79760.0,79820.0,2025-03-14 00:56:00
-2025-03-14 00:59:56,cu2505,79830.0,2,79810.0,2,79830.0,1,2025-03-14 01:00:00,79780.0,79840.0,79760.0,79830.0,2025-03-14 00:56:00
-2025-03-14 00:59:57,cu2505,79830.0,1,79800.0,6,79840.0,3,2025-03-14 01:00:00,79780.0,79840.0,79760.0,79830.0,2025-03-14 00:56:00
-2025-03-14 00:59:59,cu2505,79800.0,1,79800.0,2,79830.0,22,2025-03-14 01:00:00,79780.0,79840.0,79760.0,79800.0,2025-03-14 00:56:00
diff --git a/999.账户相关/simnow_trader/tickdata/ni2505_tick.csv b/999.账户相关/simnow_trader/tickdata/ni2505_tick.csv
deleted file mode 100644
index 8eb384b..0000000
--- a/999.账户相关/simnow_trader/tickdata/ni2505_tick.csv
+++ /dev/null
@@ -1,349 +0,0 @@
-datetime,symbol,lastprice,volume,bid_p,bid_v,ask_p,ask_v,bartime,open,high,low,close,starttime
-2025-03-14 00:56:00,ni2505,132990.0,12,132990.0,19,133000.0,23,2025-03-14 00:56:00,132990.0,132990.0,132990.0,132990.0,2025-03-14 00:56:00
-2025-03-14 00:56:00.500000,ni2505,132990.0,8,132990.0,19,133000.0,23,2025-03-14 01:00:00,132990.0,132990.0,132990.0,132990.0,2025-03-14 00:56:00
-2025-03-14 00:56:01,ni2505,132990.0,11,132990.0,16,133000.0,25,2025-03-14 01:00:00,132990.0,132990.0,132990.0,132990.0,2025-03-14 00:56:00
-2025-03-14 00:56:01.500000,ni2505,132990.0,5,132990.0,5,133000.0,25,2025-03-14 01:00:00,132990.0,132990.0,132990.0,132990.0,2025-03-14 00:56:00
-2025-03-14 00:56:02,ni2505,132990.0,2,132980.0,6,132990.0,4,2025-03-14 01:00:00,132990.0,132990.0,132990.0,132990.0,2025-03-14 00:56:00
-2025-03-14 00:56:05,ni2505,132990.0,1,132980.0,5,132990.0,8,2025-03-14 01:00:00,132990.0,132990.0,132990.0,132990.0,2025-03-14 00:56:00
-2025-03-14 00:56:06.500000,ni2505,132990.0,1,132980.0,6,132990.0,1,2025-03-14 01:00:00,132990.0,132990.0,132990.0,132990.0,2025-03-14 00:56:00
-2025-03-14 00:56:07.500000,ni2505,132980.0,2,132980.0,4,132990.0,7,2025-03-14 01:00:00,132990.0,132990.0,132980.0,132980.0,2025-03-14 00:56:00
-2025-03-14 00:56:08.500000,ni2505,132990.0,2,132980.0,2,132990.0,7,2025-03-14 01:00:00,132990.0,132990.0,132980.0,132990.0,2025-03-14 00:56:00
-2025-03-14 00:56:09.500000,ni2505,132990.0,1,132980.0,2,132990.0,5,2025-03-14 01:00:00,132990.0,132990.0,132980.0,132990.0,2025-03-14 00:56:00
-2025-03-14 00:56:11.500000,ni2505,132980.0,5,132980.0,4,132990.0,4,2025-03-14 01:00:00,132990.0,132990.0,132980.0,132980.0,2025-03-14 00:56:00
-2025-03-14 00:56:12,ni2505,132990.0,1,132980.0,8,132990.0,3,2025-03-14 01:00:00,132990.0,132990.0,132980.0,132990.0,2025-03-14 00:56:00
-2025-03-14 00:56:12.500000,ni2505,132990.0,5,132980.0,8,132990.0,2,2025-03-14 01:00:00,132990.0,132990.0,132980.0,132990.0,2025-03-14 00:56:00
-2025-03-14 00:56:13.500000,ni2505,132990.0,9,132990.0,1,133000.0,24,2025-03-14 01:00:00,132990.0,132990.0,132980.0,132990.0,2025-03-14 00:56:00
-2025-03-14 00:56:14,ni2505,132980.0,2,132980.0,4,132990.0,42,2025-03-14 01:00:00,132990.0,132990.0,132980.0,132980.0,2025-03-14 00:56:00
-2025-03-14 00:56:14.500000,ni2505,132970.0,2,132970.0,12,132980.0,3,2025-03-14 01:00:00,132990.0,132990.0,132970.0,132970.0,2025-03-14 00:56:00
-2025-03-14 00:56:15.500000,ni2505,132980.0,1,132970.0,10,132980.0,3,2025-03-14 01:00:00,132990.0,132990.0,132970.0,132980.0,2025-03-14 00:56:00
-2025-03-14 00:56:16,ni2505,132980.0,3,132970.0,13,132980.0,2,2025-03-14 01:00:00,132990.0,132990.0,132970.0,132980.0,2025-03-14 00:56:00
-2025-03-14 00:56:17.500000,ni2505,132980.0,7,132970.0,17,132990.0,42,2025-03-14 01:00:00,132990.0,132990.0,132970.0,132980.0,2025-03-14 00:56:00
-2025-03-14 00:56:19,ni2505,132970.0,1,132970.0,15,132990.0,40,2025-03-14 01:00:00,132990.0,132990.0,132970.0,132970.0,2025-03-14 00:56:00
-2025-03-14 00:56:21.500000,ni2505,132980.0,2,132970.0,15,132980.0,4,2025-03-14 01:00:00,132990.0,132990.0,132970.0,132980.0,2025-03-14 00:56:00
-2025-03-14 00:56:22,ni2505,132970.0,3,132970.0,19,132980.0,11,2025-03-14 01:00:00,132990.0,132990.0,132970.0,132970.0,2025-03-14 00:56:00
-2025-03-14 00:56:22.500000,ni2505,132970.0,8,132970.0,18,132980.0,9,2025-03-14 01:00:00,132990.0,132990.0,132970.0,132970.0,2025-03-14 00:56:00
-2025-03-14 00:56:23,ni2505,132970.0,10,132970.0,10,132980.0,9,2025-03-14 01:00:00,132990.0,132990.0,132970.0,132970.0,2025-03-14 00:56:00
-2025-03-14 00:56:23.500000,ni2505,132960.0,25,132960.0,24,132970.0,69,2025-03-14 01:00:00,132990.0,132990.0,132960.0,132960.0,2025-03-14 00:56:00
-2025-03-14 00:56:24,ni2505,132950.0,4,132950.0,2,132960.0,25,2025-03-14 01:00:00,132990.0,132990.0,132950.0,132950.0,2025-03-14 00:56:00
-2025-03-14 00:56:25.500000,ni2505,132940.0,1,132940.0,8,132950.0,10,2025-03-14 01:00:00,132990.0,132990.0,132940.0,132940.0,2025-03-14 00:56:00
-2025-03-14 00:56:26,ni2505,132940.0,2,132940.0,2,132950.0,12,2025-03-14 01:00:00,132990.0,132990.0,132940.0,132940.0,2025-03-14 00:56:00
-2025-03-14 00:56:26.500000,ni2505,132940.0,2,132930.0,21,132950.0,13,2025-03-14 01:00:00,132990.0,132990.0,132940.0,132940.0,2025-03-14 00:56:00
-2025-03-14 00:56:27,ni2505,132930.0,14,132930.0,14,132940.0,51,2025-03-14 01:00:00,132990.0,132990.0,132930.0,132930.0,2025-03-14 00:56:00
-2025-03-14 00:56:27.500000,ni2505,132920.0,3,132920.0,8,132930.0,23,2025-03-14 01:00:00,132990.0,132990.0,132920.0,132920.0,2025-03-14 00:56:00
-2025-03-14 00:56:28,ni2505,132920.0,4,132920.0,4,132930.0,26,2025-03-14 01:00:00,132990.0,132990.0,132920.0,132920.0,2025-03-14 00:56:00
-2025-03-14 00:56:28.500000,ni2505,132910.0,2,132910.0,9,132930.0,26,2025-03-14 01:00:00,132990.0,132990.0,132910.0,132910.0,2025-03-14 00:56:00
-2025-03-14 00:56:29,ni2505,132910.0,12,132910.0,8,132920.0,1,2025-03-14 01:00:00,132990.0,132990.0,132910.0,132910.0,2025-03-14 00:56:00
-2025-03-14 00:56:29.500000,ni2505,132900.0,2,132900.0,22,132910.0,38,2025-03-14 01:00:00,132990.0,132990.0,132900.0,132900.0,2025-03-14 00:56:00
-2025-03-14 00:56:30,ni2505,132900.0,14,132900.0,20,132910.0,45,2025-03-14 01:00:00,132990.0,132990.0,132900.0,132900.0,2025-03-14 00:56:00
-2025-03-14 00:56:30.500000,ni2505,132900.0,12,132900.0,10,132910.0,48,2025-03-14 01:00:00,132990.0,132990.0,132900.0,132900.0,2025-03-14 00:56:00
-2025-03-14 00:56:31,ni2505,132900.0,3,132900.0,2,132910.0,48,2025-03-14 01:00:00,132990.0,132990.0,132900.0,132900.0,2025-03-14 00:56:00
-2025-03-14 00:56:31.500000,ni2505,132880.0,16,132890.0,3,132900.0,6,2025-03-14 01:00:00,132990.0,132990.0,132880.0,132880.0,2025-03-14 00:56:00
-2025-03-14 00:56:32,ni2505,132880.0,9,132880.0,14,132890.0,11,2025-03-14 01:00:00,132990.0,132990.0,132880.0,132880.0,2025-03-14 00:56:00
-2025-03-14 00:56:32.500000,ni2505,132880.0,5,132880.0,11,132890.0,6,2025-03-14 01:00:00,132990.0,132990.0,132880.0,132880.0,2025-03-14 00:56:00
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-2025-03-14 00:59:47,ni2505,132980.0,51,132930.0,4,132950.0,6,2025-03-14 01:00:00,132990.0,132990.0,132790.0,132980.0,2025-03-14 00:56:00
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-2025-03-14 00:59:49,ni2505,132930.0,5,132970.0,1,132980.0,1,2025-03-14 01:00:00,132990.0,132990.0,132790.0,132930.0,2025-03-14 00:56:00
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-2025-03-14 00:59:50.500000,ni2505,132970.0,6,132950.0,1,132970.0,8,2025-03-14 01:00:00,132990.0,132990.0,132790.0,132970.0,2025-03-14 00:56:00
-2025-03-14 00:59:51.500000,ni2505,132970.0,6,132950.0,7,132970.0,3,2025-03-14 01:00:00,132990.0,132990.0,132790.0,132970.0,2025-03-14 00:56:00
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-2025-03-14 00:59:53,ni2505,132970.0,5,132950.0,1,132970.0,2,2025-03-14 01:00:00,132990.0,132990.0,132790.0,132970.0,2025-03-14 00:56:00
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-2025-03-14 00:59:57.500000,ni2505,132910.0,40,133000.0,28,133010.0,1,2025-03-14 01:00:00,132990.0,133000.0,132790.0,132910.0,2025-03-14 00:56:00
-2025-03-14 00:59:58,ni2505,132900.0,5,132880.0,6,132900.0,11,2025-03-14 01:00:00,132990.0,133000.0,132790.0,132900.0,2025-03-14 00:56:00
-2025-03-14 00:59:58.500000,ni2505,132900.0,11,132880.0,11,132900.0,7,2025-03-14 01:00:00,132990.0,133000.0,132790.0,132900.0,2025-03-14 00:56:00
-2025-03-14 00:59:59,ni2505,132900.0,2,132880.0,2,132900.0,1,2025-03-14 01:00:00,132990.0,133000.0,132790.0,132900.0,2025-03-14 00:56:00
diff --git a/999.账户相关/simnow_trader/tickdata/pb2504_tick.csv b/999.账户相关/simnow_trader/tickdata/pb2504_tick.csv
deleted file mode 100644
index 9915a44..0000000
--- a/999.账户相关/simnow_trader/tickdata/pb2504_tick.csv
+++ /dev/null
@@ -1,30 +0,0 @@
-datetime,symbol,lastprice,volume,bid_p,bid_v,ask_p,ask_v,bartime,open,high,low,close,starttime
-2025-03-14 00:56:11.500000,pb2504,17560.0,13,17555.0,46,17560.0,2,2025-03-14 00:56:11.500,17560.0,17560.0,17560.0,17560.0,2025-03-14 00:56:11.500000
-2025-03-14 00:56:12,pb2504,17560.0,14,17555.0,46,17560.0,2,2025-03-14 01:00:00,17560.0,17560.0,17560.0,17560.0,2025-03-14 00:56:11.500000
-2025-03-14 00:56:13,pb2504,17560.0,10,17555.0,37,17560.0,28,2025-03-14 01:00:00,17560.0,17560.0,17560.0,17560.0,2025-03-14 00:56:11.500000
-2025-03-14 00:56:13.500000,pb2504,17560.0,4,17555.0,41,17560.0,4,2025-03-14 01:00:00,17560.0,17560.0,17560.0,17560.0,2025-03-14 00:56:11.500000
-2025-03-14 00:56:30.500000,pb2504,17560.0,32,17555.0,45,17560.0,9,2025-03-14 01:00:00,17560.0,17560.0,17560.0,17560.0,2025-03-14 00:56:11.500000
-2025-03-14 00:56:31.500000,pb2504,17555.0,2,17555.0,13,17560.0,24,2025-03-14 01:00:00,17560.0,17560.0,17555.0,17555.0,2025-03-14 00:56:11.500000
-2025-03-14 00:56:39,pb2504,17560.0,1,17555.0,7,17560.0,53,2025-03-14 01:00:00,17560.0,17560.0,17555.0,17560.0,2025-03-14 00:56:11.500000
-2025-03-14 00:57:00,pb2504,17555.0,9,17555.0,34,17560.0,46,2025-03-14 01:00:00,17560.0,17560.0,17555.0,17555.0,2025-03-14 00:56:11.500000
-2025-03-14 00:57:51.500000,pb2504,17555.0,2,17555.0,20,17560.0,52,2025-03-14 01:00:00,17560.0,17560.0,17555.0,17555.0,2025-03-14 00:56:11.500000
-2025-03-14 00:58:45,pb2504,17560.0,4,17555.0,34,17560.0,52,2025-03-14 01:00:00,17560.0,17560.0,17555.0,17560.0,2025-03-14 00:56:11.500000
-2025-03-14 00:58:45.500000,pb2504,17560.0,1,17555.0,36,17560.0,27,2025-03-14 01:00:00,17560.0,17560.0,17555.0,17560.0,2025-03-14 00:56:11.500000
-2025-03-14 00:58:51,pb2504,17560.0,7,17555.0,36,17560.0,16,2025-03-14 01:00:00,17560.0,17560.0,17555.0,17560.0,2025-03-14 00:56:11.500000
-2025-03-14 00:58:51.500000,pb2504,17565.0,1,17560.0,5,17565.0,39,2025-03-14 01:00:00,17560.0,17565.0,17555.0,17565.0,2025-03-14 00:56:11.500000
-2025-03-14 00:59:07,pb2504,17565.0,2,17560.0,7,17565.0,48,2025-03-14 01:00:00,17560.0,17565.0,17555.0,17565.0,2025-03-14 00:56:11.500000
-2025-03-14 00:59:07.500000,pb2504,17565.0,1,17560.0,26,17565.0,41,2025-03-14 01:00:00,17560.0,17565.0,17555.0,17565.0,2025-03-14 00:56:11.500000
-2025-03-14 00:59:10,pb2504,17560.0,1,17560.0,26,17565.0,40,2025-03-14 01:00:00,17560.0,17565.0,17555.0,17560.0,2025-03-14 00:56:11.500000
-2025-03-14 00:59:16,pb2504,17560.0,1,17560.0,34,17565.0,40,2025-03-14 01:00:00,17560.0,17565.0,17555.0,17560.0,2025-03-14 00:56:11.500000
-2025-03-14 00:59:28.500000,pb2504,17565.0,34,17560.0,24,17565.0,40,2025-03-14 01:00:00,17560.0,17565.0,17555.0,17565.0,2025-03-14 00:56:11.500000
-2025-03-14 00:59:29,pb2504,17565.0,5,17560.0,30,17565.0,5,2025-03-14 01:00:00,17560.0,17565.0,17555.0,17565.0,2025-03-14 00:56:11.500000
-2025-03-14 00:59:29.500000,pb2504,17565.0,1,17565.0,9,17570.0,50,2025-03-14 01:00:00,17560.0,17565.0,17555.0,17565.0,2025-03-14 00:56:11.500000
-2025-03-14 00:59:30,pb2504,17560.0,1,17560.0,37,17570.0,37,2025-03-14 01:00:00,17560.0,17565.0,17555.0,17560.0,2025-03-14 00:56:11.500000
-2025-03-14 00:59:36.500000,pb2504,17560.0,1,17560.0,36,17565.0,1,2025-03-14 01:00:00,17560.0,17565.0,17555.0,17560.0,2025-03-14 00:56:11.500000
-2025-03-14 00:59:44,pb2504,17565.0,2,17560.0,34,17565.0,1,2025-03-14 01:00:00,17560.0,17565.0,17555.0,17565.0,2025-03-14 00:56:11.500000
-2025-03-14 00:59:44.500000,pb2504,17560.0,7,17560.0,33,17565.0,1,2025-03-14 01:00:00,17560.0,17565.0,17555.0,17560.0,2025-03-14 00:56:11.500000
-2025-03-14 00:59:45,pb2504,17565.0,14,17560.0,26,17565.0,1,2025-03-14 01:00:00,17560.0,17565.0,17555.0,17565.0,2025-03-14 00:56:11.500000
-2025-03-14 00:59:49.500000,pb2504,17570.0,7,17560.0,20,17565.0,3,2025-03-14 01:00:00,17560.0,17570.0,17555.0,17570.0,2025-03-14 00:56:11.500000
-2025-03-14 00:59:50.500000,pb2504,17570.0,3,17560.0,2,17570.0,9,2025-03-14 01:00:00,17560.0,17570.0,17555.0,17570.0,2025-03-14 00:56:11.500000
-2025-03-14 00:59:51,pb2504,17565.0,1,17560.0,2,17570.0,14,2025-03-14 01:00:00,17560.0,17570.0,17555.0,17565.0,2025-03-14 00:56:11.500000
-2025-03-14 00:59:55,pb2504,17560.0,2,17560.0,2,17565.0,2,2025-03-14 01:00:00,17560.0,17570.0,17555.0,17560.0,2025-03-14 00:56:11.500000
diff --git a/999.账户相关/simnow_trader/tickdata/sc2504_tick.csv b/999.账户相关/simnow_trader/tickdata/sc2504_tick.csv
deleted file mode 100644
index 7a96703..0000000
--- a/999.账户相关/simnow_trader/tickdata/sc2504_tick.csv
+++ /dev/null
@@ -1,446 +0,0 @@
-datetime,symbol,lastprice,volume,bid_p,bid_v,ask_p,ask_v,bartime,open,high,low,close,starttime
-2025-03-14 00:56:00,sc2504,517.0,1,517.0,1,517.1,5,2025-03-14 00:56:00,517.0,517.0,517.0,517.0,2025-03-14 00:56:00
-2025-03-14 00:56:00.500000,sc2504,517.0,1,517.0,1,517.1,5,2025-03-14 01:00:00,517.0,517.0,517.0,517.0,2025-03-14 00:56:00
-2025-03-14 00:56:02,sc2504,517.0,1,516.9,9,517.0,2,2025-03-14 01:00:00,517.0,517.0,517.0,517.0,2025-03-14 00:56:00
-2025-03-14 00:56:02.500000,sc2504,516.9,4,516.9,6,517.0,7,2025-03-14 01:00:00,517.0,517.0,516.9,516.9,2025-03-14 00:56:00
-2025-03-14 00:56:03.500000,sc2504,516.9,1,516.9,2,517.0,7,2025-03-14 01:00:00,517.0,517.0,516.9,516.9,2025-03-14 00:56:00
-2025-03-14 00:56:09,sc2504,517.0,1,516.9,1,517.0,7,2025-03-14 01:00:00,517.0,517.0,516.9,517.0,2025-03-14 00:56:00
-2025-03-14 00:56:09.500000,sc2504,517.0,6,516.9,1,517.0,6,2025-03-14 01:00:00,517.0,517.0,516.9,517.0,2025-03-14 00:56:00
-2025-03-14 00:56:12.500000,sc2504,516.9,1,516.9,1,517.0,1,2025-03-14 01:00:00,517.0,517.0,516.9,516.9,2025-03-14 00:56:00
-2025-03-14 00:56:17.500000,sc2504,516.9,1,516.9,10,517.0,6,2025-03-14 01:00:00,517.0,517.0,516.9,516.9,2025-03-14 00:56:00
-2025-03-14 00:56:21,sc2504,516.9,2,516.9,11,517.0,9,2025-03-14 01:00:00,517.0,517.0,516.9,516.9,2025-03-14 00:56:00
-2025-03-14 00:56:22.500000,sc2504,516.9,6,516.9,10,517.0,11,2025-03-14 01:00:00,517.0,517.0,516.9,516.9,2025-03-14 00:56:00
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-2025-03-14 00:56:29.500000,sc2504,516.9,1,516.9,1,517.0,11,2025-03-14 01:00:00,517.0,517.0,516.9,516.9,2025-03-14 00:56:00
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-2025-03-14 00:56:30.500000,sc2504,516.9,1,516.8,22,516.9,1,2025-03-14 01:00:00,517.0,517.0,516.9,516.9,2025-03-14 00:56:00
-2025-03-14 00:56:31,sc2504,516.9,1,516.8,22,516.9,12,2025-03-14 01:00:00,517.0,517.0,516.9,516.9,2025-03-14 00:56:00
-2025-03-14 00:56:35,sc2504,516.8,1,516.8,22,516.9,7,2025-03-14 01:00:00,517.0,517.0,516.8,516.8,2025-03-14 00:56:00
-2025-03-14 00:56:35.500000,sc2504,516.8,3,516.8,21,516.9,2,2025-03-14 01:00:00,517.0,517.0,516.8,516.8,2025-03-14 00:56:00
-2025-03-14 00:56:36.500000,sc2504,516.8,3,516.8,18,516.9,6,2025-03-14 01:00:00,517.0,517.0,516.8,516.8,2025-03-14 00:56:00
-2025-03-14 00:56:37.500000,sc2504,516.8,7,516.8,16,516.9,6,2025-03-14 01:00:00,517.0,517.0,516.8,516.8,2025-03-14 00:56:00
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-2025-03-14 01:07:37.500000,sc2504,517.6,1,517.5,6,517.6,8,2025-03-14 01:10:00,516.9,517.6,516.9,517.6,2025-03-14 01:05:01
-2025-03-14 01:07:38,sc2504,517.6,3,517.5,6,517.6,9,2025-03-14 01:10:00,516.9,517.6,516.9,517.6,2025-03-14 01:05:01
-2025-03-14 01:07:38.500000,sc2504,517.6,1,517.5,7,517.6,7,2025-03-14 01:10:00,516.9,517.6,516.9,517.6,2025-03-14 01:05:01
-2025-03-14 01:07:39,sc2504,517.6,2,517.5,8,517.6,7,2025-03-14 01:10:00,516.9,517.6,516.9,517.6,2025-03-14 01:05:01
-2025-03-14 01:07:39.500000,sc2504,517.6,1,517.5,8,517.6,6,2025-03-14 01:10:00,516.9,517.6,516.9,517.6,2025-03-14 01:05:01
-2025-03-14 01:07:40,sc2504,517.6,1,517.5,8,517.6,5,2025-03-14 01:10:00,516.9,517.6,516.9,517.6,2025-03-14 01:05:01
-2025-03-14 01:07:40.500000,sc2504,517.6,1,517.5,8,517.6,4,2025-03-14 01:10:00,516.9,517.6,516.9,517.6,2025-03-14 01:05:01
-2025-03-14 01:07:41,sc2504,517.6,4,517.5,8,517.6,5,2025-03-14 01:10:00,516.9,517.6,516.9,517.6,2025-03-14 01:05:01
-2025-03-14 01:07:41.500000,sc2504,517.6,2,517.5,8,517.6,4,2025-03-14 01:10:00,516.9,517.6,516.9,517.6,2025-03-14 01:05:01
-2025-03-14 01:07:43,sc2504,517.6,2,517.5,8,517.6,3,2025-03-14 01:10:00,516.9,517.6,516.9,517.6,2025-03-14 01:05:01
-2025-03-14 01:07:44.500000,sc2504,517.6,1,517.5,9,517.6,3,2025-03-14 01:10:00,516.9,517.6,516.9,517.6,2025-03-14 01:05:01
-2025-03-14 01:07:47.500000,sc2504,517.6,1,517.5,9,517.6,5,2025-03-14 01:10:00,516.9,517.6,516.9,517.6,2025-03-14 01:05:01
-2025-03-14 01:07:49.500000,sc2504,517.6,1,517.5,12,517.6,4,2025-03-14 01:10:00,516.9,517.6,516.9,517.6,2025-03-14 01:05:01
-2025-03-14 01:07:50.500000,sc2504,517.6,1,517.5,5,517.6,4,2025-03-14 01:10:00,516.9,517.6,516.9,517.6,2025-03-14 01:05:01
-2025-03-14 01:07:51,sc2504,517.5,3,517.5,5,517.6,5,2025-03-14 01:10:00,516.9,517.6,516.9,517.5,2025-03-14 01:05:01
-2025-03-14 01:07:53,sc2504,517.5,1,517.5,1,517.6,6,2025-03-14 01:10:00,516.9,517.6,516.9,517.5,2025-03-14 01:05:01
-2025-03-14 01:07:54,sc2504,517.5,1,517.5,5,517.6,7,2025-03-14 01:10:00,516.9,517.6,516.9,517.5,2025-03-14 01:05:01
-2025-03-14 01:07:55.500000,sc2504,517.5,1,517.5,2,517.6,7,2025-03-14 01:10:00,516.9,517.6,516.9,517.5,2025-03-14 01:05:01
diff --git a/999.账户相关/simnow_trader/tickdata/sn2504_tick.csv b/999.账户相关/simnow_trader/tickdata/sn2504_tick.csv
deleted file mode 100644
index 07aaca9..0000000
--- a/999.账户相关/simnow_trader/tickdata/sn2504_tick.csv
+++ /dev/null
@@ -1,437 +0,0 @@
-datetime,symbol,lastprice,volume,bid_p,bid_v,ask_p,ask_v,bartime,open,high,low,close,starttime
-2025-03-14 00:55:59,sn2504,289390.0,8,289350.0,1,289390.0,17,2025-03-14 00:55:59,289390.0,289390.0,289390.0,289390.0,2025-03-14 00:55:59
-2025-03-14 00:55:59.500000,sn2504,289300.0,10,289350.0,1,289390.0,17,2025-03-14 01:00:00,289390.0,289390.0,289300.0,289300.0,2025-03-14 00:55:59
-2025-03-14 00:56:00,sn2504,289350.0,2,289350.0,1,289380.0,3,2025-03-14 01:00:00,289390.0,289390.0,289300.0,289350.0,2025-03-14 00:55:59
-2025-03-14 00:56:01,sn2504,289340.0,2,289300.0,2,289350.0,1,2025-03-14 01:00:00,289390.0,289390.0,289300.0,289340.0,2025-03-14 00:55:59
-2025-03-14 00:56:01.500000,sn2504,289350.0,7,289310.0,3,289340.0,4,2025-03-14 01:00:00,289390.0,289390.0,289300.0,289350.0,2025-03-14 00:55:59
-2025-03-14 00:56:02.500000,sn2504,289350.0,3,289310.0,2,289350.0,5,2025-03-14 01:00:00,289390.0,289390.0,289300.0,289350.0,2025-03-14 00:55:59
-2025-03-14 00:56:03.500000,sn2504,289340.0,2,289310.0,1,289350.0,4,2025-03-14 01:00:00,289390.0,289390.0,289300.0,289340.0,2025-03-14 00:55:59
-2025-03-14 00:56:04,sn2504,289340.0,6,289340.0,4,289350.0,3,2025-03-14 01:00:00,289390.0,289390.0,289300.0,289340.0,2025-03-14 00:55:59
-2025-03-14 00:56:04.500000,sn2504,289370.0,5,289340.0,1,289350.0,1,2025-03-14 01:00:00,289390.0,289390.0,289300.0,289370.0,2025-03-14 00:55:59
-2025-03-14 00:56:05,sn2504,289340.0,5,289340.0,2,289370.0,5,2025-03-14 01:00:00,289390.0,289390.0,289300.0,289340.0,2025-03-14 00:55:59
-2025-03-14 00:56:05.500000,sn2504,289340.0,2,289310.0,5,289340.0,4,2025-03-14 01:00:00,289390.0,289390.0,289300.0,289340.0,2025-03-14 00:55:59
-2025-03-14 00:56:06.500000,sn2504,289340.0,1,289310.0,5,289340.0,3,2025-03-14 01:00:00,289390.0,289390.0,289300.0,289340.0,2025-03-14 00:55:59
-2025-03-14 00:56:07,sn2504,289310.0,2,289310.0,5,289340.0,4,2025-03-14 01:00:00,289390.0,289390.0,289300.0,289310.0,2025-03-14 00:55:59
-2025-03-14 00:56:08,sn2504,289310.0,3,289310.0,3,289340.0,4,2025-03-14 01:00:00,289390.0,289390.0,289300.0,289310.0,2025-03-14 00:55:59
-2025-03-14 00:56:08.500000,sn2504,289310.0,2,289310.0,2,289340.0,4,2025-03-14 01:00:00,289390.0,289390.0,289300.0,289310.0,2025-03-14 00:55:59
-2025-03-14 00:56:09,sn2504,289300.0,5,289310.0,1,289340.0,2,2025-03-14 01:00:00,289390.0,289390.0,289300.0,289300.0,2025-03-14 00:55:59
-2025-03-14 00:56:09.500000,sn2504,289300.0,4,289300.0,3,289340.0,1,2025-03-14 01:00:00,289390.0,289390.0,289300.0,289300.0,2025-03-14 00:55:59
-2025-03-14 00:56:10,sn2504,289310.0,3,289290.0,2,289340.0,1,2025-03-14 01:00:00,289390.0,289390.0,289300.0,289310.0,2025-03-14 00:55:59
-2025-03-14 00:56:10.500000,sn2504,289310.0,6,289310.0,1,289320.0,1,2025-03-14 01:00:00,289390.0,289390.0,289300.0,289310.0,2025-03-14 00:55:59
-2025-03-14 00:56:11,sn2504,289310.0,2,289280.0,3,289320.0,5,2025-03-14 01:00:00,289390.0,289390.0,289300.0,289310.0,2025-03-14 00:55:59
-2025-03-14 00:56:11.500000,sn2504,289300.0,1,289300.0,1,289320.0,5,2025-03-14 01:00:00,289390.0,289390.0,289300.0,289300.0,2025-03-14 00:55:59
-2025-03-14 00:56:12,sn2504,289300.0,7,289300.0,1,289310.0,2,2025-03-14 01:00:00,289390.0,289390.0,289300.0,289300.0,2025-03-14 00:55:59
-2025-03-14 00:56:12.500000,sn2504,289270.0,5,289280.0,3,289310.0,4,2025-03-14 01:00:00,289390.0,289390.0,289270.0,289270.0,2025-03-14 00:55:59
-2025-03-14 00:56:13,sn2504,289200.0,6,289260.0,2,289280.0,2,2025-03-14 01:00:00,289390.0,289390.0,289200.0,289200.0,2025-03-14 00:55:59
-2025-03-14 00:56:13.500000,sn2504,289180.0,4,289170.0,1,289280.0,4,2025-03-14 01:00:00,289390.0,289390.0,289180.0,289180.0,2025-03-14 00:55:59
-2025-03-14 00:56:14,sn2504,289200.0,6,289180.0,4,289280.0,4,2025-03-14 01:00:00,289390.0,289390.0,289180.0,289200.0,2025-03-14 00:55:59
-2025-03-14 00:56:14.500000,sn2504,289210.0,17,289210.0,1,289270.0,1,2025-03-14 01:00:00,289390.0,289390.0,289180.0,289210.0,2025-03-14 00:55:59
-2025-03-14 00:56:15.500000,sn2504,289220.0,11,289220.0,1,289270.0,3,2025-03-14 01:00:00,289390.0,289390.0,289180.0,289220.0,2025-03-14 00:55:59
-2025-03-14 00:56:16,sn2504,289220.0,8,289260.0,1,289280.0,2,2025-03-14 01:00:00,289390.0,289390.0,289180.0,289220.0,2025-03-14 00:55:59
-2025-03-14 00:56:16.500000,sn2504,289220.0,3,289220.0,2,289260.0,1,2025-03-14 01:00:00,289390.0,289390.0,289180.0,289220.0,2025-03-14 00:55:59
-2025-03-14 00:56:17,sn2504,289230.0,3,289230.0,2,289260.0,1,2025-03-14 01:00:00,289390.0,289390.0,289180.0,289230.0,2025-03-14 00:55:59
-2025-03-14 00:56:17.500000,sn2504,289260.0,2,289220.0,6,289260.0,1,2025-03-14 01:00:00,289390.0,289390.0,289180.0,289260.0,2025-03-14 00:55:59
-2025-03-14 00:56:18,sn2504,289220.0,5,289220.0,5,289280.0,1,2025-03-14 01:00:00,289390.0,289390.0,289180.0,289220.0,2025-03-14 00:55:59
-2025-03-14 00:56:18.500000,sn2504,289220.0,1,289220.0,1,289260.0,1,2025-03-14 01:00:00,289390.0,289390.0,289180.0,289220.0,2025-03-14 00:55:59
-2025-03-14 00:56:19,sn2504,289210.0,5,289210.0,2,289220.0,1,2025-03-14 01:00:00,289390.0,289390.0,289180.0,289210.0,2025-03-14 00:55:59
-2025-03-14 00:56:19.500000,sn2504,289200.0,2,289210.0,1,289250.0,1,2025-03-14 01:00:00,289390.0,289390.0,289180.0,289200.0,2025-03-14 00:55:59
-2025-03-14 00:56:20,sn2504,289180.0,6,289190.0,1,289230.0,1,2025-03-14 01:00:00,289390.0,289390.0,289180.0,289180.0,2025-03-14 00:55:59
-2025-03-14 00:56:21,sn2504,289200.0,11,289170.0,1,289260.0,2,2025-03-14 01:00:00,289390.0,289390.0,289180.0,289200.0,2025-03-14 00:55:59
-2025-03-14 00:56:21.500000,sn2504,289180.0,3,289250.0,1,289260.0,3,2025-03-14 01:00:00,289390.0,289390.0,289180.0,289180.0,2025-03-14 00:55:59
-2025-03-14 00:56:22,sn2504,289220.0,5,289180.0,2,289200.0,4,2025-03-14 01:00:00,289390.0,289390.0,289180.0,289220.0,2025-03-14 00:55:59
-2025-03-14 00:56:22.500000,sn2504,289260.0,4,289190.0,3,289220.0,1,2025-03-14 01:00:00,289390.0,289390.0,289180.0,289260.0,2025-03-14 00:55:59
-2025-03-14 00:56:23,sn2504,289290.0,15,289200.0,6,289250.0,1,2025-03-14 01:00:00,289390.0,289390.0,289180.0,289290.0,2025-03-14 00:55:59
-2025-03-14 00:56:23.500000,sn2504,289250.0,7,289260.0,2,289290.0,1,2025-03-14 01:00:00,289390.0,289390.0,289180.0,289250.0,2025-03-14 00:55:59
-2025-03-14 00:56:24,sn2504,289260.0,2,289210.0,2,289250.0,1,2025-03-14 01:00:00,289390.0,289390.0,289180.0,289260.0,2025-03-14 00:55:59
-2025-03-14 00:56:24.500000,sn2504,289250.0,1,289230.0,2,289290.0,1,2025-03-14 01:00:00,289390.0,289390.0,289180.0,289250.0,2025-03-14 00:55:59
-2025-03-14 00:56:25,sn2504,289280.0,1,289240.0,1,289280.0,1,2025-03-14 01:00:00,289390.0,289390.0,289180.0,289280.0,2025-03-14 00:55:59
-2025-03-14 00:56:26,sn2504,289220.0,3,289240.0,1,289290.0,1,2025-03-14 01:00:00,289390.0,289390.0,289180.0,289220.0,2025-03-14 00:55:59
-2025-03-14 00:56:26.500000,sn2504,289240.0,1,289210.0,2,289300.0,3,2025-03-14 01:00:00,289390.0,289390.0,289180.0,289240.0,2025-03-14 00:55:59
-2025-03-14 00:56:27,sn2504,289210.0,3,289210.0,2,289290.0,8,2025-03-14 01:00:00,289390.0,289390.0,289180.0,289210.0,2025-03-14 00:55:59
-2025-03-14 00:56:27.500000,sn2504,289210.0,5,289180.0,1,289210.0,5,2025-03-14 01:00:00,289390.0,289390.0,289180.0,289210.0,2025-03-14 00:55:59
-2025-03-14 00:56:28,sn2504,289150.0,2,289170.0,1,289210.0,4,2025-03-14 01:00:00,289390.0,289390.0,289150.0,289150.0,2025-03-14 00:55:59
-2025-03-14 00:56:28.500000,sn2504,289150.0,14,289150.0,29,289210.0,4,2025-03-14 01:00:00,289390.0,289390.0,289150.0,289150.0,2025-03-14 00:55:59
-2025-03-14 00:56:29,sn2504,289150.0,20,289150.0,16,289180.0,4,2025-03-14 01:00:00,289390.0,289390.0,289150.0,289150.0,2025-03-14 00:55:59
-2025-03-14 00:56:29.500000,sn2504,289150.0,4,289150.0,2,289280.0,6,2025-03-14 01:00:00,289390.0,289390.0,289150.0,289150.0,2025-03-14 00:55:59
-2025-03-14 00:56:30,sn2504,289110.0,6,289150.0,1,289180.0,3,2025-03-14 01:00:00,289390.0,289390.0,289110.0,289110.0,2025-03-14 00:55:59
-2025-03-14 00:56:30.500000,sn2504,289070.0,5,289100.0,1,289170.0,1,2025-03-14 01:00:00,289390.0,289390.0,289070.0,289070.0,2025-03-14 00:55:59
-2025-03-14 00:56:31,sn2504,289060.0,8,289060.0,1,289100.0,2,2025-03-14 01:00:00,289390.0,289390.0,289060.0,289060.0,2025-03-14 00:55:59
-2025-03-14 00:56:31.500000,sn2504,288920.0,9,289010.0,3,289090.0,1,2025-03-14 01:00:00,289390.0,289390.0,288920.0,288920.0,2025-03-14 00:55:59
-2025-03-14 00:56:32,sn2504,288800.0,19,288910.0,2,288990.0,2,2025-03-14 01:00:00,289390.0,289390.0,288800.0,288800.0,2025-03-14 00:55:59
-2025-03-14 00:56:32.500000,sn2504,288790.0,14,288800.0,6,288950.0,3,2025-03-14 01:00:00,289390.0,289390.0,288790.0,288790.0,2025-03-14 00:55:59
-2025-03-14 00:56:33.500000,sn2504,288810.0,32,288790.0,1,288800.0,1,2025-03-14 01:00:00,289390.0,289390.0,288790.0,288810.0,2025-03-14 00:55:59
-2025-03-14 00:56:34,sn2504,288810.0,21,288800.0,3,288820.0,1,2025-03-14 01:00:00,289390.0,289390.0,288790.0,288810.0,2025-03-14 00:55:59
-2025-03-14 00:56:34.500000,sn2504,288980.0,13,288810.0,3,288830.0,2,2025-03-14 01:00:00,289390.0,289390.0,288790.0,288980.0,2025-03-14 00:55:59
-2025-03-14 00:56:35,sn2504,288870.0,6,288830.0,2,288990.0,1,2025-03-14 01:00:00,289390.0,289390.0,288790.0,288870.0,2025-03-14 00:55:59
-2025-03-14 00:56:35.500000,sn2504,288860.0,11,288860.0,2,288930.0,3,2025-03-14 01:00:00,289390.0,289390.0,288790.0,288860.0,2025-03-14 00:55:59
-2025-03-14 00:56:36,sn2504,288920.0,13,288810.0,1,288860.0,5,2025-03-14 01:00:00,289390.0,289390.0,288790.0,288920.0,2025-03-14 00:55:59
-2025-03-14 00:56:36.500000,sn2504,288840.0,12,288920.0,3,288980.0,2,2025-03-14 01:00:00,289390.0,289390.0,288790.0,288840.0,2025-03-14 00:55:59
-2025-03-14 00:56:37,sn2504,288990.0,7,288820.0,6,288880.0,1,2025-03-14 01:00:00,289390.0,289390.0,288790.0,288990.0,2025-03-14 00:55:59
-2025-03-14 00:56:37.500000,sn2504,288850.0,11,288990.0,2,289010.0,8,2025-03-14 01:00:00,289390.0,289390.0,288790.0,288850.0,2025-03-14 00:55:59
-2025-03-14 00:56:38,sn2504,288990.0,8,288840.0,30,288980.0,2,2025-03-14 01:00:00,289390.0,289390.0,288790.0,288990.0,2025-03-14 00:55:59
-2025-03-14 00:56:38.500000,sn2504,288990.0,6,288910.0,1,289010.0,5,2025-03-14 01:00:00,289390.0,289390.0,288790.0,288990.0,2025-03-14 00:55:59
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-2025-03-14 00:59:57,sn2504,289270.0,11,289280.0,8,289330.0,3,2025-03-14 01:00:00,289390.0,289400.0,288460.0,289270.0,2025-03-14 00:55:59
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-2025-03-14 00:59:58.500000,sn2504,289190.0,21,289200.0,1,289210.0,2,2025-03-14 01:00:00,289390.0,289400.0,288460.0,289190.0,2025-03-14 00:55:59
-2025-03-14 00:59:59,sn2504,289260.0,5,289210.0,1,289270.0,28,2025-03-14 01:00:00,289390.0,289400.0,288460.0,289260.0,2025-03-14 00:55:59
diff --git a/999.账户相关/simnow_trader/tickdata/ss2505_tick.csv b/999.账户相关/simnow_trader/tickdata/ss2505_tick.csv
deleted file mode 100644
index 1cff291..0000000
--- a/999.账户相关/simnow_trader/tickdata/ss2505_tick.csv
+++ /dev/null
@@ -1,87 +0,0 @@
-datetime,symbol,lastprice,volume,bid_p,bid_v,ask_p,ask_v,bartime,open,high,low,close,starttime
-2025-03-14 00:56:02.500000,ss2505,13620.0,1,13615.0,161,13620.0,91,2025-03-14 00:56:02.500,13620.0,13620.0,13620.0,13620.0,2025-03-14 00:56:02.500000
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-2025-03-14 00:56:14,ss2505,13620.0,26,13615.0,134,13620.0,88,2025-03-14 01:00:00,13620.0,13620.0,13620.0,13620.0,2025-03-14 00:56:02.500000
-2025-03-14 00:56:16,ss2505,13615.0,1,13615.0,121,13620.0,81,2025-03-14 01:00:00,13620.0,13620.0,13615.0,13615.0,2025-03-14 00:56:02.500000
-2025-03-14 00:56:37.500000,ss2505,13615.0,3,13615.0,97,13620.0,172,2025-03-14 01:00:00,13620.0,13620.0,13615.0,13615.0,2025-03-14 00:56:02.500000
-2025-03-14 00:56:38,ss2505,13615.0,60,13615.0,81,13620.0,146,2025-03-14 01:00:00,13620.0,13620.0,13615.0,13615.0,2025-03-14 00:56:02.500000
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-2025-03-14 00:56:39,ss2505,13615.0,5,13610.0,284,13615.0,156,2025-03-14 01:00:00,13620.0,13620.0,13615.0,13615.0,2025-03-14 00:56:02.500000
-2025-03-14 00:56:40,ss2505,13610.0,2,13610.0,285,13615.0,173,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13610.0,2025-03-14 00:56:02.500000
-2025-03-14 00:56:40.500000,ss2505,13610.0,14,13610.0,283,13615.0,173,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13610.0,2025-03-14 00:56:02.500000
-2025-03-14 00:56:48,ss2505,13610.0,10,13610.0,281,13615.0,163,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13610.0,2025-03-14 00:56:02.500000
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-2025-03-14 00:56:55,ss2505,13615.0,1,13610.0,270,13615.0,164,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13615.0,2025-03-14 00:56:02.500000
-2025-03-14 00:57:00,ss2505,13615.0,2,13610.0,270,13615.0,164,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13615.0,2025-03-14 00:56:02.500000
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-2025-03-14 00:57:09.500000,ss2505,13610.0,1,13610.0,265,13615.0,158,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13610.0,2025-03-14 00:56:02.500000
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-2025-03-14 00:57:46,ss2505,13615.0,1,13610.0,186,13615.0,270,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13615.0,2025-03-14 00:56:02.500000
-2025-03-14 00:58:00,ss2505,13610.0,1,13610.0,189,13615.0,273,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13610.0,2025-03-14 00:56:02.500000
-2025-03-14 00:58:00.500000,ss2505,13610.0,9,13610.0,207,13615.0,275,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13610.0,2025-03-14 00:56:02.500000
-2025-03-14 00:58:01,ss2505,13610.0,1,13610.0,198,13615.0,276,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13610.0,2025-03-14 00:56:02.500000
-2025-03-14 00:58:11.500000,ss2505,13615.0,1,13610.0,197,13615.0,280,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13615.0,2025-03-14 00:56:02.500000
-2025-03-14 00:58:15,ss2505,13615.0,1,13610.0,198,13615.0,281,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13615.0,2025-03-14 00:56:02.500000
-2025-03-14 00:58:27.500000,ss2505,13610.0,1,13610.0,210,13615.0,281,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13610.0,2025-03-14 00:56:02.500000
-2025-03-14 00:58:31.500000,ss2505,13615.0,1,13610.0,208,13615.0,252,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13615.0,2025-03-14 00:56:02.500000
-2025-03-14 00:58:35,ss2505,13610.0,1,13610.0,209,13615.0,251,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13610.0,2025-03-14 00:56:02.500000
-2025-03-14 00:58:36,ss2505,13615.0,2,13610.0,212,13615.0,251,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13615.0,2025-03-14 00:56:02.500000
-2025-03-14 00:58:41,ss2505,13610.0,20,13610.0,212,13615.0,249,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13610.0,2025-03-14 00:56:02.500000
-2025-03-14 00:58:46.500000,ss2505,13610.0,1,13610.0,192,13615.0,249,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13610.0,2025-03-14 00:56:02.500000
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-2025-03-14 00:59:00.500000,ss2505,13610.0,4,13610.0,197,13615.0,192,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13610.0,2025-03-14 00:56:02.500000
-2025-03-14 00:59:01.500000,ss2505,13610.0,1,13610.0,194,13615.0,200,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13610.0,2025-03-14 00:56:02.500000
-2025-03-14 00:59:02.500000,ss2505,13615.0,9,13610.0,193,13615.0,200,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13615.0,2025-03-14 00:56:02.500000
-2025-03-14 00:59:04,ss2505,13610.0,2,13610.0,193,13615.0,191,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13610.0,2025-03-14 00:56:02.500000
-2025-03-14 00:59:06,ss2505,13610.0,20,13610.0,191,13615.0,191,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13610.0,2025-03-14 00:56:02.500000
-2025-03-14 00:59:07.500000,ss2505,13615.0,1,13610.0,171,13615.0,171,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13615.0,2025-03-14 00:56:02.500000
-2025-03-14 00:59:08.500000,ss2505,13615.0,1,13610.0,170,13615.0,175,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13615.0,2025-03-14 00:56:02.500000
-2025-03-14 00:59:09,ss2505,13615.0,21,13610.0,171,13615.0,174,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13615.0,2025-03-14 00:56:02.500000
-2025-03-14 00:59:09.500000,ss2505,13615.0,1,13610.0,151,13615.0,153,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13615.0,2025-03-14 00:56:02.500000
-2025-03-14 00:59:10,ss2505,13610.0,8,13610.0,165,13615.0,152,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13610.0,2025-03-14 00:56:02.500000
-2025-03-14 00:59:11.500000,ss2505,13615.0,4,13610.0,157,13615.0,153,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13615.0,2025-03-14 00:56:02.500000
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-2025-03-14 00:59:17.500000,ss2505,13615.0,1,13610.0,156,13615.0,149,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13615.0,2025-03-14 00:56:02.500000
-2025-03-14 00:59:18,ss2505,13610.0,2,13610.0,159,13615.0,148,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13610.0,2025-03-14 00:56:02.500000
-2025-03-14 00:59:20,ss2505,13610.0,13,13610.0,157,13615.0,148,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13610.0,2025-03-14 00:56:02.500000
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-2025-03-14 00:59:30,ss2505,13610.0,2,13610.0,153,13615.0,133,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13610.0,2025-03-14 00:56:02.500000
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-2025-03-14 00:59:33,ss2505,13615.0,1,13610.0,161,13615.0,132,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13615.0,2025-03-14 00:56:02.500000
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-2025-03-14 00:59:34,ss2505,13615.0,5,13610.0,161,13615.0,127,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13615.0,2025-03-14 00:56:02.500000
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-2025-03-14 00:59:42,ss2505,13610.0,4,13610.0,153,13615.0,123,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13610.0,2025-03-14 00:56:02.500000
-2025-03-14 00:59:44,ss2505,13615.0,6,13610.0,147,13615.0,132,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13615.0,2025-03-14 00:56:02.500000
-2025-03-14 00:59:44.500000,ss2505,13615.0,1,13610.0,148,13615.0,141,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13615.0,2025-03-14 00:56:02.500000
-2025-03-14 00:59:45.500000,ss2505,13615.0,2,13610.0,150,13615.0,145,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13615.0,2025-03-14 00:56:02.500000
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-2025-03-14 00:59:47,ss2505,13615.0,14,13610.0,149,13615.0,141,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13615.0,2025-03-14 00:56:02.500000
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-2025-03-14 00:59:49,ss2505,13610.0,8,13610.0,147,13615.0,115,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13610.0,2025-03-14 00:56:02.500000
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-2025-03-14 00:59:58,ss2505,13615.0,1,13610.0,12,13615.0,58,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13615.0,2025-03-14 00:56:02.500000
-2025-03-14 00:59:58.500000,ss2505,13610.0,1,13610.0,12,13615.0,57,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13610.0,2025-03-14 00:56:02.500000
-2025-03-14 00:59:59,ss2505,13615.0,1,13610.0,11,13615.0,57,2025-03-14 01:00:00,13620.0,13620.0,13610.0,13615.0,2025-03-14 00:56:02.500000
diff --git a/999.账户相关/simnow_trader/tickdata/zn2504_tick.csv b/999.账户相关/simnow_trader/tickdata/zn2504_tick.csv
deleted file mode 100644
index 844d5a1..0000000
--- a/999.账户相关/simnow_trader/tickdata/zn2504_tick.csv
+++ /dev/null
@@ -1,109 +0,0 @@
-datetime,symbol,lastprice,volume,bid_p,bid_v,ask_p,ask_v,bartime,open,high,low,close,starttime
-2025-03-14 00:56:00,zn2504,24120.0,4,24115.0,25,24120.0,16,2025-03-14 00:56:00,24120.0,24120.0,24120.0,24120.0,2025-03-14 00:56:00
-2025-03-14 00:56:00.500000,zn2504,24120.0,7,24115.0,25,24120.0,16,2025-03-14 01:00:00,24120.0,24120.0,24120.0,24120.0,2025-03-14 00:56:00
-2025-03-14 00:56:01.500000,zn2504,24120.0,3,24115.0,25,24120.0,9,2025-03-14 01:00:00,24120.0,24120.0,24120.0,24120.0,2025-03-14 00:56:00
-2025-03-14 00:56:10.500000,zn2504,24120.0,2,24115.0,22,24120.0,23,2025-03-14 01:00:00,24120.0,24120.0,24120.0,24120.0,2025-03-14 00:56:00
-2025-03-14 00:56:11.500000,zn2504,24120.0,2,24115.0,24,24120.0,17,2025-03-14 01:00:00,24120.0,24120.0,24120.0,24120.0,2025-03-14 00:56:00
-2025-03-14 00:56:12,zn2504,24120.0,2,24115.0,24,24120.0,15,2025-03-14 01:00:00,24120.0,24120.0,24120.0,24120.0,2025-03-14 00:56:00
-2025-03-14 00:56:12.500000,zn2504,24120.0,9,24115.0,24,24120.0,13,2025-03-14 01:00:00,24120.0,24120.0,24120.0,24120.0,2025-03-14 00:56:00
-2025-03-14 00:56:13,zn2504,24120.0,2,24115.0,24,24120.0,4,2025-03-14 01:00:00,24120.0,24120.0,24120.0,24120.0,2025-03-14 00:56:00
-2025-03-14 00:56:13.500000,zn2504,24120.0,3,24115.0,31,24120.0,3,2025-03-14 01:00:00,24120.0,24120.0,24120.0,24120.0,2025-03-14 00:56:00
-2025-03-14 00:56:14,zn2504,24125.0,22,24115.0,31,24125.0,27,2025-03-14 01:00:00,24120.0,24125.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:56:14.500000,zn2504,24125.0,8,24120.0,6,24125.0,16,2025-03-14 01:00:00,24120.0,24125.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:56:15.500000,zn2504,24125.0,1,24120.0,8,24125.0,21,2025-03-14 01:00:00,24120.0,24125.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:56:23.500000,zn2504,24120.0,1,24120.0,6,24125.0,20,2025-03-14 01:00:00,24120.0,24125.0,24120.0,24120.0,2025-03-14 00:56:00
-2025-03-14 00:56:27.500000,zn2504,24120.0,1,24120.0,15,24125.0,23,2025-03-14 01:00:00,24120.0,24125.0,24120.0,24120.0,2025-03-14 00:56:00
-2025-03-14 00:56:28,zn2504,24120.0,1,24120.0,14,24125.0,25,2025-03-14 01:00:00,24120.0,24125.0,24120.0,24120.0,2025-03-14 00:56:00
-2025-03-14 00:56:28.500000,zn2504,24125.0,1,24120.0,13,24125.0,24,2025-03-14 01:00:00,24120.0,24125.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:56:33.500000,zn2504,24120.0,3,24120.0,13,24125.0,23,2025-03-14 01:00:00,24120.0,24125.0,24120.0,24120.0,2025-03-14 00:56:00
-2025-03-14 00:56:35,zn2504,24125.0,1,24120.0,13,24125.0,25,2025-03-14 01:00:00,24120.0,24125.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:56:35.500000,zn2504,24120.0,1,24120.0,21,24125.0,24,2025-03-14 01:00:00,24120.0,24125.0,24120.0,24120.0,2025-03-14 00:56:00
-2025-03-14 00:56:36.500000,zn2504,24125.0,5,24120.0,19,24125.0,24,2025-03-14 01:00:00,24120.0,24125.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:56:38,zn2504,24120.0,1,24120.0,19,24125.0,19,2025-03-14 01:00:00,24120.0,24125.0,24120.0,24120.0,2025-03-14 00:56:00
-2025-03-14 00:56:43,zn2504,24125.0,5,24120.0,25,24125.0,10,2025-03-14 01:00:00,24120.0,24125.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:56:49,zn2504,24125.0,1,24120.0,21,24125.0,21,2025-03-14 01:00:00,24120.0,24125.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:56:51.500000,zn2504,24125.0,3,24120.0,25,24125.0,22,2025-03-14 01:00:00,24120.0,24125.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:56:55.500000,zn2504,24125.0,2,24120.0,25,24125.0,11,2025-03-14 01:00:00,24120.0,24125.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:56:57,zn2504,24125.0,3,24120.0,25,24125.0,7,2025-03-14 01:00:00,24120.0,24125.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:56:57.500000,zn2504,24125.0,6,24120.0,25,24125.0,6,2025-03-14 01:00:00,24120.0,24125.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:56:58.500000,zn2504,24130.0,2,24125.0,27,24130.0,30,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24130.0,2025-03-14 00:56:00
-2025-03-14 00:56:59,zn2504,24125.0,8,24125.0,32,24130.0,22,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:57:01.500000,zn2504,24125.0,1,24125.0,24,24130.0,24,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:57:02,zn2504,24125.0,11,24125.0,23,24130.0,28,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:57:03.500000,zn2504,24125.0,12,24125.0,12,24130.0,29,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:57:08,zn2504,24125.0,1,24120.0,35,24130.0,30,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:57:08.500000,zn2504,24125.0,11,24120.0,30,24125.0,22,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:57:09,zn2504,24125.0,13,24120.0,38,24125.0,12,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:57:11,zn2504,24125.0,1,24125.0,18,24130.0,28,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:57:15.500000,zn2504,24130.0,3,24125.0,5,24130.0,30,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24130.0,2025-03-14 00:56:00
-2025-03-14 00:57:17,zn2504,24125.0,8,24125.0,6,24130.0,29,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:57:17.500000,zn2504,24125.0,1,24125.0,1,24130.0,29,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:57:22,zn2504,24125.0,1,24120.0,42,24125.0,6,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:57:35.500000,zn2504,24120.0,4,24120.0,27,24125.0,14,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24120.0,2025-03-14 00:56:00
-2025-03-14 00:57:38,zn2504,24125.0,1,24120.0,26,24125.0,19,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:57:38.500000,zn2504,24120.0,1,24120.0,26,24125.0,18,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24120.0,2025-03-14 00:56:00
-2025-03-14 00:57:47,zn2504,24120.0,7,24120.0,25,24125.0,25,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24120.0,2025-03-14 00:56:00
-2025-03-14 00:57:52,zn2504,24125.0,5,24120.0,10,24125.0,27,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:57:53,zn2504,24125.0,5,24120.0,21,24125.0,17,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:57:53.500000,zn2504,24125.0,11,24120.0,21,24125.0,11,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:57:54,zn2504,24125.0,2,24120.0,29,24125.0,2,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:57:59,zn2504,24125.0,1,24125.0,3,24130.0,29,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:58:00,zn2504,24130.0,3,24125.0,4,24130.0,27,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24130.0,2025-03-14 00:56:00
-2025-03-14 00:58:00.500000,zn2504,24125.0,2,24125.0,1,24130.0,26,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:58:02,zn2504,24125.0,1,24125.0,8,24130.0,27,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:58:16.500000,zn2504,24130.0,4,24125.0,9,24130.0,27,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24130.0,2025-03-14 00:56:00
-2025-03-14 00:58:20,zn2504,24130.0,25,24125.0,14,24130.0,27,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24130.0,2025-03-14 00:56:00
-2025-03-14 00:58:20.500000,zn2504,24130.0,1,24130.0,17,24135.0,20,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24130.0,2025-03-14 00:56:00
-2025-03-14 00:58:21,zn2504,24130.0,19,24130.0,16,24135.0,19,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24130.0,2025-03-14 00:56:00
-2025-03-14 00:58:21.500000,zn2504,24130.0,1,24130.0,1,24135.0,23,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24130.0,2025-03-14 00:56:00
-2025-03-14 00:58:22,zn2504,24125.0,2,24125.0,21,24130.0,17,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:58:41,zn2504,24125.0,2,24125.0,18,24130.0,17,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:58:43.500000,zn2504,24125.0,1,24125.0,28,24130.0,18,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:58:47,zn2504,24125.0,6,24125.0,27,24130.0,25,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:58:48,zn2504,24130.0,10,24125.0,15,24130.0,25,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24130.0,2025-03-14 00:56:00
-2025-03-14 00:58:49,zn2504,24125.0,2,24125.0,14,24130.0,15,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:58:56,zn2504,24125.0,2,24125.0,23,24130.0,12,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24125.0,2025-03-14 00:56:00
-2025-03-14 00:58:59.500000,zn2504,24130.0,5,24125.0,21,24130.0,16,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24130.0,2025-03-14 00:56:00
-2025-03-14 00:59:00.500000,zn2504,24130.0,4,24125.0,16,24130.0,11,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24130.0,2025-03-14 00:56:00
-2025-03-14 00:59:01,zn2504,24130.0,9,24125.0,22,24130.0,9,2025-03-14 01:00:00,24120.0,24130.0,24120.0,24130.0,2025-03-14 00:56:00
-2025-03-14 00:59:02.500000,zn2504,24135.0,1,24130.0,3,24135.0,20,2025-03-14 01:00:00,24120.0,24135.0,24120.0,24135.0,2025-03-14 00:56:00
-2025-03-14 00:59:03,zn2504,24135.0,2,24130.0,12,24135.0,21,2025-03-14 01:00:00,24120.0,24135.0,24120.0,24135.0,2025-03-14 00:56:00
-2025-03-14 00:59:06.500000,zn2504,24130.0,8,24130.0,12,24135.0,19,2025-03-14 01:00:00,24120.0,24135.0,24120.0,24130.0,2025-03-14 00:56:00
-2025-03-14 00:59:11.500000,zn2504,24135.0,3,24130.0,5,24135.0,19,2025-03-14 01:00:00,24120.0,24135.0,24120.0,24135.0,2025-03-14 00:56:00
-2025-03-14 00:59:12,zn2504,24130.0,8,24130.0,8,24135.0,17,2025-03-14 01:00:00,24120.0,24135.0,24120.0,24130.0,2025-03-14 00:56:00
-2025-03-14 00:59:12.500000,zn2504,24130.0,1,24130.0,1,24135.0,17,2025-03-14 01:00:00,24120.0,24135.0,24120.0,24130.0,2025-03-14 00:56:00
-2025-03-14 00:59:15,zn2504,24135.0,1,24125.0,20,24135.0,20,2025-03-14 01:00:00,24120.0,24135.0,24120.0,24135.0,2025-03-14 00:56:00
-2025-03-14 00:59:15.500000,zn2504,24130.0,6,24130.0,10,24135.0,22,2025-03-14 01:00:00,24120.0,24135.0,24120.0,24130.0,2025-03-14 00:56:00
-2025-03-14 00:59:16,zn2504,24130.0,4,24130.0,4,24135.0,22,2025-03-14 01:00:00,24120.0,24135.0,24120.0,24130.0,2025-03-14 00:56:00
-2025-03-14 00:59:16.500000,zn2504,24130.0,2,24125.0,20,24130.0,1,2025-03-14 01:00:00,24120.0,24135.0,24120.0,24130.0,2025-03-14 00:56:00
-2025-03-14 00:59:20,zn2504,24130.0,2,24130.0,1,24135.0,23,2025-03-14 01:00:00,24120.0,24135.0,24120.0,24130.0,2025-03-14 00:56:00
-2025-03-14 00:59:22,zn2504,24130.0,3,24125.0,27,24130.0,2,2025-03-14 01:00:00,24120.0,24135.0,24120.0,24130.0,2025-03-14 00:56:00
-2025-03-14 00:59:24,zn2504,24130.0,1,24130.0,3,24135.0,42,2025-03-14 01:00:00,24120.0,24135.0,24120.0,24130.0,2025-03-14 00:56:00
-2025-03-14 00:59:24.500000,zn2504,24130.0,3,24130.0,9,24135.0,41,2025-03-14 01:00:00,24120.0,24135.0,24120.0,24130.0,2025-03-14 00:56:00
-2025-03-14 00:59:25,zn2504,24130.0,2,24130.0,6,24135.0,41,2025-03-14 01:00:00,24120.0,24135.0,24120.0,24130.0,2025-03-14 00:56:00
-2025-03-14 00:59:25.500000,zn2504,24130.0,2,24130.0,9,24135.0,41,2025-03-14 01:00:00,24120.0,24135.0,24120.0,24130.0,2025-03-14 00:56:00
-2025-03-14 00:59:26,zn2504,24135.0,1,24130.0,12,24135.0,41,2025-03-14 01:00:00,24120.0,24135.0,24120.0,24135.0,2025-03-14 00:56:00
-2025-03-14 00:59:28.500000,zn2504,24135.0,1,24130.0,13,24135.0,40,2025-03-14 01:00:00,24120.0,24135.0,24120.0,24135.0,2025-03-14 00:56:00
-2025-03-14 00:59:29,zn2504,24130.0,2,24130.0,13,24135.0,39,2025-03-14 01:00:00,24120.0,24135.0,24120.0,24130.0,2025-03-14 00:56:00
-2025-03-14 00:59:29.500000,zn2504,24130.0,4,24130.0,11,24135.0,34,2025-03-14 01:00:00,24120.0,24135.0,24120.0,24130.0,2025-03-14 00:56:00
-2025-03-14 00:59:30,zn2504,24130.0,11,24130.0,10,24135.0,31,2025-03-14 01:00:00,24120.0,24135.0,24120.0,24130.0,2025-03-14 00:56:00
-2025-03-14 00:59:31.500000,zn2504,24130.0,2,24130.0,5,24135.0,29,2025-03-14 01:00:00,24120.0,24135.0,24120.0,24130.0,2025-03-14 00:56:00
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diff --git a/999.账户相关/tts_trader/dingdanliu_nb_tts.py b/999.账户相关/tts_trader/dingdanliu_nb_tts.py
new file mode 100644
index 0000000..156d7c9
--- /dev/null
+++ b/999.账户相关/tts_trader/dingdanliu_nb_tts.py
@@ -0,0 +1,1608 @@
+f"""
+该代码的主要目的是处理Tick数据并生成交易信号。代码中定义了一个tickcome函数，它接收到Tick数据后会进行一系列的处理，包括构建Tick字典、更新上一个Tick的成交量、保存Tick数据、生成K线数据等。其中涉及到的一些函数有：
+on_tick(tick): 处理单个Tick数据，根据Tick数据生成K线数据。
+tickdata(df, symbol): 处理Tick数据，生成K线数据。
+orderflow_df_new(df_tick, df_min, symbol): 处理Tick和K线数据，生成订单流数据。F
+GetOrderFlow_dj(kData): 计算订单流的信号指标。
+除此之外，代码中还定义了一个MyTrader类，继承自TraderApiBase，用于实现交易相关的功能。
+"""
+
+# from concurrent.futures import ThreadPoolExecutor
+from multiprocessing import Process, Queue
+import queue
+import threading
+from AlgoPlus.CTP.MdApi import run_tick_engine
+from AlgoPlus.CTP.FutureAccount import get_simulate_account
+from AlgoPlus.CTP.FutureAccount import FutureAccount
+from AlgoPlus.CTP.TraderApiBase import TraderApiBase
+
+# from AlgoPlus.ta.time_bar import tick_to_bar
+import pandas as pd
+from datetime import datetime, timedelta
+from datetime import time as s_time
+import operator
+import time
+import numpy as np
+import os
+import re
+
+# import talib as tb
+
+import akshare as ak
+import ast
+
+# 加入邮件通知
+import smtplib
+from email.mime.text import MIMEText  # 导入 MIMEText 类发送纯文本邮件
+from email.mime.multipart import (
+    MIMEMultipart,
+)
+
+# from email.mime.application import MIMEApplication
+
+# 配置邮件信息
+receivers = ["240884432@qq.com"]  # 设置邮件接收人地址
+subject = "TD_Simnow_Signal"  # 设置邮件主题 订单流策略交易信号
+
+# 配置邮件服务器信息
+smtp_server = "smtp.qq.com"  # 设置发送邮件的 SMTP 服务器地址
+smtp_port = 465  # 设置发送邮件的 SMTP 服务器端口号，一般为 25 端口 465
+sender = "240884432@qq.com"  # 设置发送邮件的邮箱地址
+username = "240884432@qq.com"  # 设置发送邮件的邮箱用户名
+password = "osjyjmbqrzxtbjbf"  # zrmpcgttataabhjh，设置发送邮件的邮箱密码或授权码
+
+tickdatadict = {}  # 存储Tick数据的字典
+quotedict = {}  # 存储行情数据的字典
+ofdatadict = {}  # 存储K线数据的字典
+trade_dfs = {}  # pd.DataFrame({})  # 存储交易数据的DataFrame对象
+previous_volume = {}  # 上一个Tick的成交量
+tsymbollist = {}
+
+clearing_time_dict = {
+    "sc": s_time(2, 30),
+    "bc": s_time(1, 0),
+    "lu": s_time(23, 0),
+    "nr": s_time(23, 0),
+    "au": s_time(2, 30),
+    "ag": s_time(2, 30),
+    "ss": s_time(1, 0),
+    "sn": s_time(1, 0),
+    "ni": s_time(1, 0),
+    "pb": s_time(1, 0),
+    "zn": s_time(1, 0),
+    "al": s_time(1, 0),
+    "cu": s_time(1, 0),
+    "ru": s_time(23, 0),
+    "rb": s_time(23, 0),
+    "hc": s_time(23, 0),
+    "fu": s_time(23, 0),
+    "bu": s_time(23, 0),
+    "sp": s_time(23, 0),
+    "PF": s_time(23, 0),
+    "SR": s_time(23, 0),
+    "CF": s_time(23, 0),
+    "CY": s_time(23, 0),
+    "RM": s_time(23, 0),
+    "MA": s_time(23, 0),
+    "TA": s_time(23, 0),
+    "ZC": s_time(23, 0),
+    "FG": s_time(23, 0),
+    "OI": s_time(23, 0),
+    "SA": s_time(23, 0),
+    "p": s_time(23, 0),
+    "j": s_time(23, 0),
+    "jm": s_time(23, 0),
+    "i": s_time(23, 0),
+    "l": s_time(23, 0),
+    "v": s_time(23, 0),
+    "pp": s_time(23, 0),
+    "eg": s_time(23, 0),
+    "c": s_time(23, 0),
+    "cs": s_time(23, 0),
+    "y": s_time(23, 0),
+    "m": s_time(23, 0),
+    "a": s_time(23, 0),
+    "b": s_time(23, 0),
+    "rr": s_time(23, 0),
+    "eb": s_time(23, 0),
+    "pg": s_time(23, 0),
+}
+
+
+def send_mail(text):
+    # msg = MIMEMultipart()
+    # msg["From"] = sender
+    # msg["To"] = ";".join(receivers)
+    # msg["Subject"] = subject
+    # msg.attach(MIMEText(text, "plain", "utf-8"))
+    # smtp = smtplib.SMTP_SSL(smtp_server, smtp_port)
+    # smtp.login(username, password)
+    # smtp.sendmail(sender, receivers, msg.as_string())
+    # smtp.quit()
+    global last_sent_time
+
+    # 检查时间间隔
+    current_time = time.time()
+    if current_time - last_sent_time < 60:
+        print("current_time:",current_time)
+        print("last_sent_time:",last_sent_time)
+        print("一分钟内已发送过邮件，本次跳过")
+        return  # 直接退出，不执行发送
+    msg = MIMEMultipart()
+    msg["From"] = sender
+    msg["To"] = ";".join(receivers)
+    msg["Subject"] = subject
+    html_content = f"""
+    <html>
+      <body>
+        <p>以下是数据的最后一列：</p>
+        {text}
+      </body>
+    </html>
+    """
+    msg.attach(MIMEText(html_content, 'html'))
+    smtp = smtplib.SMTP_SSL(smtp_server, smtp_port)
+    smtp.login(username, password)
+    smtp.sendmail(sender, receivers, msg.as_string())
+    smtp.quit()
+
+def futures_main_day(future_symbol, delta_days):
+    # 获取当前日期的数据
+    today = datetime.now().strftime("%Y%m%d")
+    # 计算多少日前的日期
+    start_day = (datetime.now() - timedelta(days=delta_days)).strftime("%Y%m%d")
+
+    futures_main_sina_hist = ak.futures_main_sina(
+        symbol=future_symbol, start_date=start_day, end_date=today
+    )
+    return futures_main_sina_hist
+
+def safe_literal_eval(x):
+    """带异常处理的安全转换"""
+    try:
+        return ast.literal_eval(x)
+    except:
+        return []  # 返回空列表作为占位符
+
+def add_poc_column(df):
+    # 安全转换列数据
+    df['price'] = df['price'].apply(safe_literal_eval)
+    df['Ask'] = df['Ask'].apply(lambda x: list(map(int, safe_literal_eval(x))))
+    df['Bid'] = df['Bid'].apply(lambda x: list(map(int, safe_literal_eval(x))))
+    
+    # 定义处理函数（带数据验证）
+    def find_poc(row):
+        # 验证三个列表长度一致且非空
+        if not (len(row['price']) == len(row['Ask']) == len(row['Bid']) > 0):
+            return '缺值'  # 返回空值标记异常数据
+        
+        sums = [a + b for a, b in zip(row['Ask'], row['Bid'])]
+        try:
+            max_index = sums.index(max(sums))
+            return row['price'][max_index]
+        except ValueError:
+            return '缺值'  # 处理空求和列表情况
+    
+    # 应用处理函数
+    df['POC'] = df.apply(find_poc, axis=1)
+    
+    # 可选：统计异常数据
+    error_count = df['POC'].isnull().sum()
+    if error_count > 0:
+        print(f"警告：发现 {error_count} 行异常数据（已标记为NaN）")
+    
+    return df['POC']
+
+
+def ultimate_smoother(price, period):
+    # 初始化变量（修正角度单位为弧度）
+    a1 = np.exp(-1.414 * np.pi / period)
+    b1 = 2 * a1 * np.cos(1.414 * np.pi / period)  # 将180改为np.pi
+    c2 = b1
+    c3 = -a1 ** 2
+    c1 = (1 + c2 - c3) / 4
+    
+    # 准备输出序列
+    us = np.zeros(len(price))
+    us_new = np.zeros(len(price))
+    trend = [None]*(len(price))
+    ma_close = np.zeros(len(price))
+    
+    # 前4个点用原始价格初始化
+    for i in range(len(price)):
+        if i < 4:
+            us[i] = price[i]
+        else:
+            # 应用递归公式
+            us[i] = (1 - c1) * price[i] + (2 * c1 - c2) * price[i-1] \
+                    - (c1 + c3) * price[i-2] + c2 * us[i-1] + c3 * us[i-2]
+            
+        us_new = np.around(us, decimals=2)
+        ma_close = price.rolling(window=5*period).mean()
+
+        if us_new[i]>price[i] and ma_close[i]>price[i]:
+            trend[i] = '空头趋势'
+        elif us_new[i]<price[i] and ma_close[i]<price[i]:
+            trend[i] = '多头趋势'
+        else:
+            trend[i] = '无趋势'
+
+    
+    return us_new,trend
+
+# 交易程序---------------------------------------------------------------------------------------------------------------------------------------------------------------------
+class ParamObj:
+
+    symbol = None  # 合约名称
+    Lots = None  # 下单手数
+    py = None  # 设置委托价格的偏移，更加容易促成成交
+    trailing_stop_percent = None  # 跟踪出场参数
+    fixed_stop_loss_percent = None  # 固定出场参数
+    dj_X = None  # 开仓的堆积参数
+    delta = None  # 开仓的delta参数
+    sum_delta = None  # 开仓的delta累积参数
+    失衡 = None
+    堆积 = None
+    周期 = None
+
+    # 策略需要用到的变量
+    cont_df = 0
+    pos = 0
+    short_trailing_stop_price = 0
+    long_trailing_stop_price = 0
+    sl_long_price = 0
+    sl_shor_price = 0
+    out_long = 0
+    out_short = 0
+    clearing_executed = False
+    kgdata = True
+
+    def __init__(
+        self,
+        symbol,
+        Lots,
+        py,
+        trailing_stop_percent,
+        fixed_stop_loss_percent,
+        dj_X,
+        delta,
+        sum_delta,
+        失衡,
+        堆积,
+        周期,
+    ):
+        self.symbol = symbol
+        self.Lots = Lots
+        self.py = py
+        self.trailing_stop_percent = trailing_stop_percent
+        self.fixed_stop_loss_percent = fixed_stop_loss_percent
+        self.dj_X = dj_X
+        self.delta = delta
+        self.sum_delta = sum_delta
+        self.失衡 = 失衡
+        self.堆积 = 堆积
+        self.周期 = 周期
+
+
+class MyTrader(TraderApiBase):
+
+    def __init__(
+        self,
+        broker_id,
+        td_server,
+        investor_id,
+        password,
+        app_id,
+        auth_code,
+        md_queue=None,
+        page_dir="",
+        private_resume_type=2,
+        public_resume_type=2,
+    ):
+        self.param_dict = {}
+        self.queue_dict = {}
+        self.品种 = " "
+
+    def tickcome(self, md_queue):
+        global previous_volume
+        data = md_queue
+        instrument_id = data["InstrumentID"].decode()  # 品种代码
+        ActionDay = data["ActionDay"].decode()  # 交易日日期
+        update_time = data["UpdateTime"].decode()  # 更新时间
+
+        update_millisec = str(data["UpdateMillisec"])  # 更新毫秒数
+        created_at = (
+            ActionDay[:4]
+            + "-"
+            + ActionDay[4:6]
+            + "-"
+            + ActionDay[6:]
+            + " "
+            + update_time
+            + "."
+            + update_millisec
+        )  # 创建时间
+        # 构建tick字典
+        tick = {
+            "symbol": instrument_id,  # 品种代码和交易所ID
+            "created_at": datetime.strptime(created_at, "%Y-%m-%d %H:%M:%S.%f"),
+            "price": float(data["LastPrice"]),  # 最新价
+            "last_volume": (
+                int(data["Volume"]) - previous_volume.get(instrument_id, 0)
+                if previous_volume.get(instrument_id, 0) != 0
+                else 0
+            ),  # 瞬时成交量
+            "bid_p": float(data["BidPrice1"]),  # 买价
+            "bid_v": int(data["BidVolume1"]),  # 买量
+            "ask_p": float(data["AskPrice1"]),  # 卖价
+            "ask_v": int(data["AskVolume1"]),  # 卖量
+            "UpperLimitPrice": float(data["UpperLimitPrice"]),  # 涨停价
+            "LowerLimitPrice": float(data["LowerLimitPrice"]),  # 跌停价
+            "TradingDay": data["TradingDay"].decode(),  # 交易日日期
+            "cum_volume": int(data["Volume"]),  # 最新总成交量
+            "cum_amount": float(data["Turnover"]),  # 最新总成交额
+            "cum_position": int(data["OpenInterest"]),  # 合约持仓量
+        }
+
+        previous_volume[instrument_id] = int(data["Volume"])
+        if tick["last_volume"] > 0:
+            self.on_tick(tick)
+
+    def can_time(self, hour, minute):
+        hour = str(hour)
+        minute = str(minute)
+        if len(minute) == 1:
+            minute = "0" + minute
+        return int(hour + minute)
+
+    def on_tick(self, tick):
+        # tm = self.can_time(tick["created_at"].hour, tick["created_at"].minute)
+        if tick["last_volume"] == 0:
+            return
+        quotes = tick
+        timetick = str(tick["created_at"]).replace("+08:00", "")
+        tsymbol = tick["symbol"]
+        if tsymbol not in tsymbollist.keys():
+            # 获取tick的买卖价和买卖量
+            tsymbollist[tsymbol] = tick
+            bid_p = quotes["bid_p"]
+            ask_p = quotes["ask_p"]
+            bid_v = quotes["bid_v"]
+            ask_v = quotes["ask_v"]
+        else:
+            # 获取上一个tick的买卖价和买卖量
+            rquotes = tsymbollist[tsymbol]
+            bid_p = rquotes["bid_p"]
+            ask_p = rquotes["ask_p"]
+            bid_v = rquotes["bid_v"]
+            ask_v = rquotes["ask_v"]
+            tsymbollist[tsymbol] = tick
+        tick_dt = pd.DataFrame(
+            {
+                "datetime": timetick,
+                "symbol": tick["symbol"],
+                "mainsym": tick["symbol"].rstrip("0123456789").upper(),
+                "lastprice": tick["price"],
+                "vol": tick["last_volume"],
+                "bid_p": bid_p,
+                "ask_p": ask_p,
+                "bid_v": bid_v,
+                "ask_v": ask_v,
+            },
+            index=[0],
+        )
+        sym = tick_dt["symbol"][0]
+        self.tickdata(tick_dt, sym)
+
+    def data_of(self, symbol, df):
+        global trade_dfs
+        trade_dfs[symbol] = pd.concat([trade_dfs[symbol], df], ignore_index=True)
+
+    def process(self, bidDict, askDict, symbol):
+        try:
+            # 尝试从quotedict中获取对应品种的报价数据
+            dic = quotedict[symbol]
+            bidDictResult = dic["bidDictResult"]
+            askDictResult = dic["askDictResult"]
+        except Exception:
+            # 如果获取失败，则初始化bidDictResult和askDictResult为空字典
+            bidDictResult, askDictResult = {}, {}
+
+        # 将所有买盘字典和卖盘字典的key合并，并按升序排序
+        sList = sorted(set(list(bidDict.keys()) + list(askDict.keys())))
+
+        # 遍历所有的key，将相同key的值进行累加
+        for s in sList:
+            if s in bidDict:
+                if s in bidDictResult:
+                    bidDictResult[s] = int(bidDict[s]) + bidDictResult[s]
+                else:
+                    bidDictResult[s] = int(bidDict[s])
+                if s not in askDictResult:
+                    askDictResult[s] = 0
+            else:
+                if s in askDictResult:
+                    askDictResult[s] = int(askDict[s]) + askDictResult[s]
+                else:
+                    askDictResult[s] = int(askDict[s])
+                if s not in bidDictResult:
+                    bidDictResult[s] = 0
+
+        # 构建包含bidDictResult和askDictResult的字典，并存入quotedict中
+        df = {"bidDictResult": bidDictResult, "askDictResult": askDictResult}
+        quotedict[symbol] = df
+        return bidDictResult, askDictResult
+
+    def tickdata(self, df, symbol):
+        tickdata = pd.DataFrame(
+            {
+                "datetime": df["datetime"],
+                "symbol": df["symbol"],
+                "lastprice": df["lastprice"],
+                "volume": df["vol"],
+                "bid_p": df["bid_p"],
+                "bid_v": df["bid_v"],
+                "ask_p": df["ask_p"],
+                "ask_v": df["ask_v"],
+            }
+        )
+        try:
+            if symbol in tickdatadict.keys():
+                rdf = tickdatadict[symbol]
+                rdftm = pd.to_datetime(rdf["bartime"][0]).strftime("%Y-%m-%d %H:%M:%S")
+                now = str(tickdata["datetime"][0])
+                if now > rdftm:
+                    try:
+                        oo = ofdatadict[symbol]
+                        self.data_of(symbol, oo)
+                        if symbol in quotedict.keys():
+                            quotedict.pop(symbol)
+                        if symbol in tickdatadict.keys():
+                            tickdatadict.pop(symbol)
+                        if symbol in ofdatadict.keys():
+                            ofdatadict.pop(symbol)
+                    except IOError as e:
+                        print("rdftm捕获到异常", e)
+                    tickdata["bartime"] = pd.to_datetime(tickdata["datetime"])
+                    tickdata["open"] = tickdata["lastprice"]
+                    tickdata["high"] = tickdata["lastprice"]
+                    tickdata["low"] = tickdata["lastprice"]
+                    tickdata["close"] = tickdata["lastprice"]
+                    tickdata["starttime"] = tickdata["datetime"]
+                else:
+                    tickdata["bartime"] = rdf["bartime"]
+                    tickdata["open"] = rdf["open"]
+                    tickdata["high"] = max(
+                        tickdata["lastprice"].values, rdf["high"].values
+                    )
+                    tickdata["low"] = min(
+                        tickdata["lastprice"].values, rdf["low"].values
+                    )
+                    tickdata["close"] = tickdata["lastprice"]
+                    tickdata["volume"] = df["vol"] + rdf["volume"].values
+                    tickdata["starttime"] = rdf["starttime"]
+            else:
+                print("新bar的第一个tick进入")
+                tickdata["bartime"] = pd.to_datetime(tickdata["datetime"])
+                tickdata["open"] = tickdata["lastprice"]
+                tickdata["high"] = tickdata["lastprice"]
+                tickdata["low"] = tickdata["lastprice"]
+                tickdata["close"] = tickdata["lastprice"]
+                tickdata["starttime"] = tickdata["datetime"]
+        except IOError as e:
+            print("捕获到异常", e)
+
+        tickdata["bartime"] = pd.to_datetime(tickdata["bartime"])
+        param = self.param_dict[self.品种]
+        bardata = (
+            tickdata.resample(
+                on="bartime", rule=param.周期, label="right", closed="right"
+            )
+            .agg(
+                {
+                    "starttime": "first",
+                    "symbol": "last",
+                    "open": "first",
+                    "high": "max",
+                    "low": "min",
+                    "close": "last",
+                    "volume": "sum",
+                }
+            )
+            .reset_index(drop=False)
+        )
+        bardata = bardata.dropna().reset_index(drop=True)
+        bardata["bartime"] = pd.to_datetime(bardata["bartime"][0]).strftime(
+            "%Y-%m-%d %H:%M:%S"
+        )
+        tickdatadict[symbol] = bardata
+        tickdata["volume"] = df["vol"].values
+        self.orderflow_df_new(tickdata, bardata, symbol)
+
+    def orderflow_df_new(self, df_tick, df_min, symbol):
+        # startArray = pd.to_datetime(df_min["starttime"]).values
+        voluememin = df_min["volume"].values
+        highs = df_min["high"].values
+        lows = df_min["low"].values
+        opens = df_min["open"].values
+        closes = df_min["close"].values
+        # endArray = pd.to_datetime(df_min['bartime']).values
+        endArray = df_min["bartime"].values
+        # print(endArray)
+        # deltaArray = np.zeros((len(endArray),))
+        # tTickArray = pd.to_datetime(df_tick["datetime"]).values
+        bp1minickArray = df_tick["bid_p"].values
+        ap1minickArray = df_tick["ask_p"].values
+        lastTickArray = df_tick["lastprice"].values
+        volumeTickArray = df_tick["volume"].values
+        symbolarray = df_tick["symbol"].values
+        # indexFinal = 0
+        for index, tEnd in enumerate(endArray):
+            dt = endArray[index]
+            # start = startArray[index]
+            bidDict = {}
+            askDict = {}
+            bar_vol = voluememin[index]
+            bar_close = closes[index]
+            bar_open = opens[index]
+            bar_low = lows[index]
+            bar_high = highs[index]
+            bar_symbol = symbolarray[index]
+            Bp = round(bp1minickArray[0], 4)
+            Ap = round(ap1minickArray[0], 4)
+            LastPrice = round(lastTickArray[0], 4)
+            Volume = volumeTickArray[0]
+            if LastPrice >= Ap:
+                if str(LastPrice) in askDict.keys():
+                    askDict[str(LastPrice)] += Volume
+                else:
+                    askDict[str(LastPrice)] = Volume
+            if LastPrice <= Bp:
+                if str(LastPrice) in bidDict.keys():
+                    bidDict[str(LastPrice)] += Volume
+                else:
+                    bidDict[str(LastPrice)] = Volume
+            # indexFinal = indexTick
+            bidDictResult, askDictResult = self.process(bidDict, askDict, symbol)
+            bidDictResult = dict(
+                sorted(bidDictResult.items(), key=operator.itemgetter(0))
+            )
+            askDictResult = dict(
+                sorted(askDictResult.items(), key=operator.itemgetter(0))
+            )
+            prinslist = list(bidDictResult.keys())
+            asklist = list(askDictResult.values())
+            bidlist = list(bidDictResult.values())
+            delta = sum(askDictResult.values()) - sum(bidDictResult.values())
+            df = pd.DataFrame(
+                {
+                    "price": pd.Series([prinslist]),
+                    "Ask": pd.Series([asklist]),
+                    "Bid": pd.Series([bidlist]),
+                }
+            )
+            # df=pd.DataFrame({'price':pd.Series(bidDictResult.keys()),'Ask':pd.Series(askDictResult.values()),'Bid':pd.Series(bidDictResult.values())})
+            df["symbol"] = bar_symbol
+            df["datetime"] = dt
+            df["delta"] = str(delta)
+            df["close"] = bar_close
+            df["open"] = bar_open
+            df["high"] = bar_high
+            df["low"] = bar_low
+            df["volume"] = bar_vol
+            # df['ticktime']=tTickArray[0]
+            df["dj"] = self.GetOrderFlow_dj(df)
+            ofdatadict[symbol] = df
+
+    def GetOrderFlow_dj(self, kData):
+        param = self.param_dict[self.品种]
+        Config = {
+            "Value1": param.失衡,
+            "Value2": param.堆积,
+            "Value4": True,
+        }
+        aryData = kData
+        djcout = 0
+
+        # 遍历kData中的每一行，计算djcout指标
+        for index, row in aryData.iterrows():
+            kItem = aryData.iloc[index]
+            # high = kItem["high"]
+            # low = kItem["low"]
+            # close = kItem["close"]
+            # open = kItem["open"]
+            dtime = kItem["datetime"]
+            price_s = kItem["price"]
+            Ask_s = kItem["Ask"]
+            Bid_s = kItem["Bid"]
+            delta = kItem["delta"]
+
+            price_s = price_s
+            Ask_s = Ask_s
+            Bid_s = Bid_s
+
+            gj = 0
+            xq = 0
+            gxx = 0
+            xxx = 0
+
+            # 遍历price_s中的每一个元素，计算相关指标
+            for i in np.arange(0, len(price_s), 1):
+                duiji = {
+                    "price": 0,
+                    "time": 0,
+                    "longshort": 0,
+                }
+
+                if i == 0:
+                    delta = delta
+
+                order = {
+                    "Price": price_s[i],
+                    "Bid": {"Value": Bid_s[i]},
+                    "Ask": {"Value": Ask_s[i]},
+                }
+                # 空头堆积
+                if i >= 0 and i < len(price_s) - 1:
+                    if order["Bid"]["Value"] > Ask_s[i + 1] * int(Config["Value1"]):
+                        gxx += 1
+                        gj += 1
+                        if gj >= int(Config["Value2"]) and Config["Value4"] is True:
+                            duiji["price"] = price_s[i]
+                            duiji["time"] = dtime
+                            duiji["longshort"] = -1
+                            if float(duiji["price"]) > 0:
+                                djcout += -1
+                    else:
+                        gj = 0
+                # 多头堆积
+                if i >= 1 and i < len(price_s) - 1:
+                    if order["Ask"]["Value"] > Bid_s[i - 1] * int(Config["Value1"]):
+                        xq += 1
+                        xxx += 1
+                        if xq >= int(Config["Value2"]) and Config["Value4"] is True:
+                            duiji["price"] = price_s[i]
+                            duiji["time"] = dtime
+                            duiji["longshort"] = 1
+                            if float(duiji["price"]) > 0:
+                                djcout += 1
+                    else:
+                        xq = 0
+
+        # 返回计算得到的djcout值
+        return djcout
+
+    # 读取保存的数据
+    def read_to_csv(self, symbol):
+        # 文件夹路径和文件路径
+        # 使用正则表达式提取英文字母并重新赋值给symbol
+        param = self.param_dict[symbol]
+        # symbol = ''.join(re.findall('[a-zA-Z]', str(symbol)))
+        folder_path = "traderdata"
+        file_path = os.path.join(folder_path, f"{str(symbol)}_traderdata.csv")
+        # 如果文件夹不存在则创建
+        if not os.path.exists(folder_path):
+            os.makedirs(folder_path)
+
+        # 读取保留的模型数据CSV文件
+        if os.path.exists(file_path):
+            df = pd.read_csv(file_path)
+            df = df.drop_duplicates(subset='datetime', keep='first').reset_index(drop=True)
+            df = df[df['high'] != df['low']]
+            df["delta"] = df["delta"].astype(float)
+            df['datetime'] = pd.to_datetime(df['datetime'],format='mixed')#, dayfirst=True, format='mixed'
+            df['delta累计'] = df.groupby(df['datetime'].dt.date)['delta'].cumsum()
+            df = df.fillna('缺值')
+            df['终极平滑值'],df['趋势方向'] = ultimate_smoother(df['close'],time_period)
+            df['datetime'] = df['datetime'].dt.strftime("%Y-%m-%d %H:%M:%S")
+            df['POC'] = add_poc_column(df)
+
+            time_period = 48
+
+            if len(df) >=5*time_period and (df['趋势方向'].iloc[-1] != df['趋势方向'].iloc[-2]):
+                table_text = df.iloc[:,3:].tail(1).to_html(index=False) #price,Ask,Bid,symbol,datetime,delta,close,open,high,low,volume,dj
+                send_mail(table_text)
+            else:
+                pass
+
+            if not df.empty and param.kgdata is True:
+                # 选择最后一行数据
+                # df = df._append(df.iloc[-1], ignore_index=True)
+                row = df.iloc[-1]
+
+                # 根据CSV文件的列名将数据赋值给相应的属性
+                param.pos = int(row["pos"])
+                param.short_trailing_stop_price = float(
+                    row["short_trailing_stop_price"]
+                )
+                param.long_trailing_stop_price = float(row["long_trailing_stop_price"])
+                param.sl_long_price = float(row["sl_long_price"])
+                param.sl_shor_price = float(row["sl_shor_price"])
+                # param.out_long = int(row['out_long'])
+                # param.out_short = int(row['out_short'])
+                print("找到历史交易数据文件,已经更新持仓，止损止盈数据", df.iloc[-1])
+                param.kgdata = False
+        else:
+            pass
+            # print("没有找到历史交易数据文件", file_path)
+            # 如果没有找到CSV，则初始化变量
+
+        pass
+
+    # 保存数据
+    def save_to_csv(self, symbol):
+        param = self.param_dict[symbol]
+        # 使用正则表达式提取英文字母并重新赋值给symbol
+        # symbol = ''.join(re.findall('[a-zA-Z]', str(symbol)))
+        # 创建DataFrame
+
+        data = {
+            "datetime": [trade_dfs[symbol]["datetime"].iloc[-1]],
+            "pos": [param.pos],
+            "short_trailing_stop_price": [param.short_trailing_stop_price],
+            "long_trailing_stop_price": [param.long_trailing_stop_price],
+            "sl_long_price": [param.sl_long_price],
+            "sl_shor_price": [param.sl_shor_price],
+            # 'out_long': [param.out_long],
+            # 'out_short': [param.out_short]
+        }
+
+        df = pd.DataFrame(data)
+
+        # 将DataFrame保存到CSV文件
+        # df.to_csv(
+        #     f"traderdata/{str(symbol)}_traderdata.csv",
+        #     mode="a",
+        #     index=False,
+        #     header=False,
+        # )
+
+        traderdata_file_path = f"traderdata/{str(symbol)}_traderdata.csv"
+        if os.path.exists(traderdata_file_path):
+            # 仅保存最后一行数据
+            csv_df = pd.read_csv(traderdata_file_path)
+            if df["pos"].iloc[-1] != csv_df["pos"].iloc[-1]:
+                df.to_csv(traderdata_file_path, mode="a", header=False, index=False)
+        else:
+            # 创建新文件并保存整个DataFrame
+            df.to_csv(traderdata_file_path, index=False)
+        # df.to_csv(f"traderdata/{str(symbol)}_traderdata.csv", index=False)
+
+    # 每日收盘重置数据
+    def day_data_reset(self, symbol):
+        param = self.param_dict[symbol]
+        sec = "".join(re.findall("[a-zA-Z]", str(symbol)))
+        # 获取当前时间
+        current_time = datetime.now().time()
+
+        # 第一时间范围（日盘收盘）
+        clearing_time1_start = s_time(15, 5)
+        clearing_time1_end = s_time(15, 10)
+
+        # 创建一个标志变量，用于记录是否已经执行过
+        param.clearing_executed = False
+        # 检查当前时间第一个操作的时间范围内
+        if (
+            clearing_time1_start <= current_time <= clearing_time1_end
+            and not param.clearing_executed
+        ):
+            param.clearing_executed = True  # 设置标志变量为已执行
+            trade_dfs[symbol].drop(
+                trade_dfs[symbol].index, inplace=True
+            )  # 清除当天的行情数据
+
+        # 检查当前时间是否在第二个操作的时间范围内(夜盘收盘)
+        elif sec in clearing_time_dict.keys():
+            clearing_time2_start = clearing_time_dict[sec]
+            clearing_time2_end = s_time(
+                clearing_time2_start.hour, clearing_time2_start.minute + 15
+            )
+            if (
+                clearing_time2_start <= current_time <= clearing_time2_end
+                and not param.clearing_executed
+            ):
+                param.clearing_executed = True  # 设置标志变量为已执行
+                trade_dfs[symbol].drop(
+                    trade_dfs[symbol].index, inplace=True
+                )  # 清除当天的行情数据
+        else:
+            param.clearing_executed = False
+            pass
+        return param.clearing_executed
+
+    def OnRtnTrade(self, pTrade):
+        print("||成交回报||", pTrade)
+
+    def OnRspOrderInsert(self, pInputOrder, pRspInfo, nRequestID, bIsLast):
+        print("||OnRspOrderInsert||", pInputOrder, pRspInfo, nRequestID, bIsLast)
+
+    # 订单状态通知
+    def OnRtnOrder(self, pOrder):
+        print("||订单回报||", pOrder)
+
+    def cal_sig(self, symbol_queue):
+        while True:
+            try:
+                data = symbol_queue.get(
+                    block=True, timeout=5
+                )  # 如果5秒没收到新的tick行情，则抛出异常
+                instrument_id = data["InstrumentID"].decode()  # 品种代码
+                size = symbol_queue.qsize()
+                if size > 1:
+                    print(
+                        f"当前{instrument_id}共享队列长度为{size}, 有点阻塞！！！！！"
+                    )
+                self.read_to_csv(instrument_id)
+                self.day_data_reset(instrument_id)
+                param = self.param_dict[instrument_id]
+                self.品种 = instrument_id
+                self.tickcome(data)
+                trade_df = trade_dfs[instrument_id]
+                # 新K线开始，启动交易程序 and 保存行情数据
+                self.read_to_csv(instrument_id)
+                if len(trade_df) > param.cont_df:
+                    # 检查文件是否存在
+                    csv_file_path = f"traderdata/{instrument_id}_ofdata.csv"
+                    if os.path.exists(csv_file_path):
+                        #jerome :保存数增加'delta累计'、POC、、终极平滑值、趋势方向
+                        # 仅保存最后一行数据
+                        trade_df.tail(1).to_csv(
+                            csv_file_path, mode="a", header=False, index=False
+                        )
+                    else:
+                        # 创建新文件并保存整个DataFrame
+                        trade_df.to_csv(csv_file_path, index=False)
+
+                    # 更新跟踪止损价格
+                    if param.long_trailing_stop_price > 0 and param.pos > 0:
+
+                        param.long_trailing_stop_price = (
+                            trade_df["low"].iloc[-1]
+                            if param.long_trailing_stop_price < trade_df["low"].iloc[-1]
+                            else param.long_trailing_stop_price
+                        )
+                        self.save_to_csv(instrument_id)
+
+                    if param.short_trailing_stop_price > 0 and param.pos < 0:
+
+                        param.short_trailing_stop_price = (
+                            trade_df["high"].iloc[-1]
+                            if trade_df["high"].iloc[-1]
+                            < param.short_trailing_stop_price
+                            else param.short_trailing_stop_price
+                        )
+                        self.save_to_csv(instrument_id)
+
+                    param.out_long = param.long_trailing_stop_price * (
+                        1 - param.trailing_stop_percent
+                    )
+                    param.out_short = param.short_trailing_stop_price * (
+                        1 + param.trailing_stop_percent
+                    )
+                    # 跟踪出场
+                    if param.out_long > 0:
+                        print(
+                            "datetime+sig: ",
+                            trade_df["datetime"].iloc[-1],
+                            "预设——多头止盈——",
+                            "TR",
+                            param.out_long,
+                            "low",
+                            trade_df["low"].iloc[-1],
+                        )
+                        if (
+                            trade_df["low"].iloc[-1] < param.out_long
+                            and param.pos > 0
+                            and param.sl_long_price > 0
+                            and trade_df["low"].iloc[-1] > param.sl_long_price
+                        ):
+                            print(
+                                "datetime+sig: ",
+                                trade_df["datetime"].iloc[-1],
+                                "多头止盈",
+                                "TR",
+                                param.out_long,
+                                "low",
+                                trade_df["low"].iloc[-1],
+                            )
+                            # 平多
+                            self.insert_order(
+                                data["ExchangeID"],
+                                data["InstrumentID"],
+                                data["BidPrice1"] - param.py,
+                                param.Lots,
+                                b"1",
+                                b"1",
+                            )
+                            self.insert_order(
+                                data["ExchangeID"],
+                                data["InstrumentID"],
+                                data["BidPrice1"] - param.py,
+                                param.Lots,
+                                b"1",
+                                b"3",
+                            )
+                            param.long_trailing_stop_price = 0
+                            param.out_long = 0
+                            param.sl_long_price = 0
+                            param.pos = 0
+                            self.save_to_csv(instrument_id)
+
+                    if param.out_short > 0:
+                        print(
+                            "datetime+sig: ",
+                            trade_df["datetime"].iloc[-1],
+                            "预设——空头止盈——: ",
+                            "TR",
+                            param.out_short,
+                            "high",
+                            trade_df["high"].iloc[-1],
+                        )
+                        if (
+                            trade_df["high"].iloc[-1] > param.out_short
+                            and param.pos < 0
+                            and param.sl_shor_price > 0
+                            and trade_df["high"].iloc[-1] < param.sl_shor_price
+                        ):
+                            print(
+                                "datetime+sig: ",
+                                trade_df["datetime"].iloc[-1],
+                                "空头止盈: ",
+                                "TR",
+                                param.out_short,
+                                "high",
+                                trade_df["high"].iloc[-1],
+                            )
+                            # 平空
+                            self.insert_order(
+                                data["ExchangeID"],
+                                data["InstrumentID"],
+                                data["AskPrice1"] + param.py,
+                                param.Lots,
+                                b"0",
+                                b"1",
+                            )
+                            self.insert_order(
+                                data["ExchangeID"],
+                                data["InstrumentID"],
+                                data["AskPrice1"] + param.py,
+                                param.Lots,
+                                b"0",
+                                b"3",
+                            )
+                            param.short_trailing_stop_price = 0
+                            param.sl_shor_price = 0
+                            self.out_shor = 0
+                            param.pos = 0
+                            self.save_to_csv(instrument_id)
+
+                    # 固定止损
+                    fixed_stop_loss_L = param.sl_long_price * (
+                        1 - param.fixed_stop_loss_percent
+                    )
+                    if param.pos > 0:
+                        print(
+                            "datetime+sig: ",
+                            trade_df["datetime"].iloc[-1],
+                            "预设——多头止损",
+                            "SL",
+                            fixed_stop_loss_L,
+                            "close",
+                            trade_df["close"].iloc[-1],
+                        )
+                    if (
+                        param.sl_long_price > 0
+                        and fixed_stop_loss_L > 0
+                        and param.pos > 0
+                        and trade_df["close"].iloc[-1] < fixed_stop_loss_L
+                    ):
+                        print(
+                            "datetime+sig: ",
+                            trade_df["datetime"].iloc[-1],
+                            "多头止损",
+                            "SL",
+                            fixed_stop_loss_L,
+                            "close",
+                            trade_df["close"].iloc[-1],
+                        )
+                        # 平多
+                        self.insert_order(
+                            data["ExchangeID"],
+                            data["InstrumentID"],
+                            data["BidPrice1"] - param.py,
+                            param.Lots,
+                            b"1",
+                            b"1",
+                        )
+                        self.insert_order(
+                            data["ExchangeID"],
+                            data["InstrumentID"],
+                            data["BidPrice1"] - param.py,
+                            param.Lots,
+                            b"1",
+                            b"3",
+                        )
+                        param.long_trailing_stop_price = 0
+                        param.sl_long_price = 0
+                        param.out_long = 0
+                        param.pos = 0
+                        self.save_to_csv(instrument_id)
+
+                    fixed_stop_loss_S = param.sl_shor_price * (
+                        1 + param.fixed_stop_loss_percent
+                    )
+                    if param.pos < 0:
+                        print(
+                            "datetime+sig: ",
+                            trade_df["datetime"].iloc[-1],
+                            "预设——空头止损",
+                            "SL",
+                            fixed_stop_loss_S,
+                            "close",
+                            trade_df["close"].iloc[-1],
+                        )
+                    if (
+                        param.sl_shor_price > 0
+                        and fixed_stop_loss_S > 0
+                        and param.pos < 0
+                        and trade_df["close"].iloc[-1] > fixed_stop_loss_S
+                    ):
+                        print(
+                            "datetime+sig: ",
+                            trade_df["datetime"].iloc[-1],
+                            "空头止损",
+                            "SL",
+                            fixed_stop_loss_S,
+                            "close",
+                            trade_df["close"].iloc[-1],
+                        )
+                        # 平空
+                        self.insert_order(
+                            data["ExchangeID"],
+                            data["InstrumentID"],
+                            data["AskPrice1"] + param.py,
+                            param.Lots,
+                            b"0",
+                            b"1",
+                        )
+                        self.insert_order(
+                            data["ExchangeID"],
+                            data["InstrumentID"],
+                            data["AskPrice1"] + param.py,
+                            param.Lots,
+                            b"0",
+                            b"3",
+                        )
+                        param.short_trailing_stop_price = 0
+                        param.sl_shor_price = 0
+                        param.out_short = 0
+                        param.pos = 0
+                        self.save_to_csv(instrument_id)
+
+                    # 日均线
+                    # AROONOSC ：https://zhuanlan.zhihu.com/p/645010879
+                    # if len(trade_df["close"]) >= 120:
+                    #     trade_df["dayma"] = trade_df["close"][-120:].mean()
+                    #     print("trade_df长度:", len(trade_df["close"]))
+                    #     print("120条之上的dayma的值:", trade_df["dayma"])
+                    # else:
+                    #     trade_df["dayma"] = trade_df["close"].mean()
+                    #     print("120条之下的dayma的值:", trade_df["dayma"])
+                    #     print("trade_df长度:", len(trade_df["close"]))
+                    day_df = {}
+                    day_df = futures_main_day(
+                        instrument_id, 20
+                    )  # futures_main_day(trade_df["symbol"], 20)
+                    day_df["5day_ma"] = day_df["收盘价"].rolling(window=5).mean()
+                    day_df["5day_ma"].iloc[-1]
+                    # trade_df["aroon_osc"] = tb.AROONOSC(trade_df["high"], trade_df["low"], 5)
+                    # trade_df["rinei_T3"] = tb.T3(np.array(trade_df["dayma"]))
+                    # print("交易品种为:", instrument_id)
+                    # print("昨日5日均线:", day_df["5day_ma"].iloc[-1])
+                    # print("昨日收盘价:", day_df["收盘价"].iloc[-1])
+
+                    # 计算累积的delta值datetime.strptime(str_time, "%Y-%m-%d %H:%M:%S")
+                    trade_df["delta"] = trade_df["delta"].astype(float)
+                    trade_df['datetime'] = pd.to_datetime(trade_df['datetime'], format='mixed')
+                    trade_df['delta累计'] = trade_df.groupby(trade_df['datetime'].dt.date)['delta'].cumsum()
+                    # if len(trade_df['datetime']) == 1:
+                    #     trade_df["delta累计"].iloc[-1] = trade_df["delta"].iloc[-1]
+                    # else:
+                    #     trade_time_1 = datetime.strptime(trade_df['datetime'].iloc[-1], "%Y-%m-%d %H:%M:%S")
+                    #     trade_time_2 = datetime.strptime(trade_df['datetime'].iloc[-2], "%Y-%m-%d %H:%M:%S")
+                        
+                    #     if trade_time_1.date() != trade_time_2.date():
+                    #         trade_df["delta累计"].iloc[-1] = trade_df["delta"].iloc[-1]
+                    #     else:
+                    #         trade_df["delta累计"].iloc[-1] = trade_df["delta"].iloc[-1]+trade_df["delta"].iloc[-2]
+                    # trade_df["delta累计"] = trade_df["delta"].cumsum()
+
+                    # 获取第三大值和第三小值
+                    abs_delta = max(trade_df["delta"].iloc[-120:-1], default=0) - min(
+                        trade_df["delta"].iloc[-120:-1], default=0
+                    )
+                    print("abs_delta:", abs_delta)
+                    # third_largest_delta = np.sort(arr_delta)[-2]
+                    # third_smallest_delta = np.sort(arr_delta)[2]
+
+                    abs_delta累计 = max(
+                        trade_df["delta累计"].iloc[-120:-1], default=0
+                    ) - min(trade_df["delta累计"].iloc[-120:-1], default=0)
+                    print("abs_delta累计:", abs_delta累计)
+                    # third_largest_delta累计 = np.sort(arr_delta累计)[-2]
+                    # third_smallest_delta累计 = np.sort(arr_delta累计)[2]
+
+                    # 大于日均线
+                    # 开多1 = trade_df["dayma"].iloc[-1] > 0 and trade_df["close"].iloc[-1] > trade_df["dayma"].iloc[-1]
+                    # 开多1 = trade_df["aroon_osc"].iloc[-1] > 0
+                    # 开多1 = trade_df["close"].iloc[-1] > trade_df[
+                    #     "rinei_T3"].iloc[-1]
+                    开多1 = day_df["收盘价"].iloc[-1] > day_df["5day_ma"].iloc[-1]
+
+                    # 累计多空净量大于X
+                    # 开多4 = (
+                    #     trade_df["delta累计"].iloc[-1] > param.sum_delta and trade_df["delta"].iloc[-1] > param.delta
+                    # )
+                    开多4 = trade_df["delta"].iloc[-1] > param.delta and trade_df["delta累计"].iloc[-1] > param.sum_delta
+                    # 开多4 = trade_df["delta累计"].iloc[-1] > np.sort(trade_df["delta累计"].iloc[-120:-1], default=0)[-2] and trade_df["delta"].iloc[-1] > np.sort(trade_df["delta"].iloc[-120:-1], default=0)[-2]
+                    # 开多4 = trade_df["delta累计"].iloc[-1] > third_largest_delta累计 and trade_df["delta"].iloc[-1] > third_largest_delta
+
+                    # 小于日均线
+                    # 开空1 = trade_df["dayma"].iloc[-1] > 0 and trade_df["close"].iloc[-1] < trade_df["dayma"].iloc[-1]
+                    # 开空1 = trade_df["aroon_osc"].iloc[-1] < 0
+                    # 开空1 = trade_df["close"].iloc[-1] < trade_df[
+                    # "rinei_T3"].iloc[-1]
+                    开空1 = day_df["收盘价"].iloc[-1] < day_df["5day_ma"].iloc[-1]
+
+                    # 累计多空净量小于X
+                    开空4 = trade_df["delta"].iloc[-1] < -param.delta  and trade_df["delta累计"].iloc[-1] <- param.sum_delta
+
+                    # 开空4 = trade_df["delta累计"].iloc[-1] < np.sort(trade_df["delta累计"].iloc[-120:-1], default=0)[2] and trade_df["delta"].iloc[-1] < np.sort(trade_df["delta"].iloc[-120:-1], default=0)[2]
+                    # 开空4 = trade_df["delta累计"].iloc[-1] < third_smallest_delta累计 and trade_df["delta"].iloc[-1] < third_smallest_delta
+                    开多组合 = (
+                        # 开多1
+                        开多4
+                        and trade_df["dj"].iloc[-1] > param.dj_X
+                        and datetime.now().time() < s_time(14,55)
+                        # and len(trade_df) > 120
+                    )
+                    开空条件 = (
+                        # 开空1
+                        开空4
+                        and trade_df["dj"].iloc[-1] < -param.dj_X
+                        and datetime.now().time() < s_time(14,55)
+                        # and len(trade_df) > 120
+                    )
+
+                    平多条件 = (trade_df["dj"].iloc[-1] < -param.dj_X) or (datetime.now().time() >= s_time(14,55))
+                    平空条件 = (trade_df["dj"].iloc[-1] > param.dj_X) or (datetime.now().time() >= s_time(14,55))
+                    # 开仓
+                    # 多头开仓条件
+                    if param.pos < 0 and 平空条件:
+                        print(
+                            "平空：    ",
+                            "ExchangeID: ",
+                            data["ExchangeID"],
+                            "InstrumentID",
+                            data["InstrumentID"],
+                            "AskPrice1",
+                            data["AskPrice1"] + param.py,
+                        )
+                        # 平空
+                        self.insert_order(
+                            data["ExchangeID"],
+                            data["InstrumentID"],
+                            data["AskPrice1"] + param.py,
+                            param.Lots,
+                            b"0",
+                            b"1",
+                        )
+                        self.insert_order(
+                            data["ExchangeID"],
+                            data["InstrumentID"],
+                            data["AskPrice1"] + param.py,
+                            param.Lots,
+                            b"0",
+                            b"3",
+                        )
+
+                        param.pos = 0
+                        param.sl_shor_price = 0
+                        param.short_trailing_stop_price = 0
+                        print(
+                            "datetime+sig: ",
+                            trade_df["datetime"].iloc[-1],
+                            "反手平空：",
+                            "平仓价格：",
+                            data["AskPrice1"] + param.py,
+                            "堆积数：",
+                            trade_df["dj"].iloc[-1],
+                        )
+                        self.save_to_csv(instrument_id)
+
+                        # 发送邮件
+                        # text = f"平空交易： 交易品种为{data['InstrumentID']}, 交易时间为{trade_df['datetime'].iloc[-1]}, 反手平空的平仓价格为{data['AskPrice1']+param.py}, 交易手数位{param.Lots}"
+                        text = f"C_S_T: ID:{data['InstrumentID']}, datetime:{trade_df['datetime'].iloc[-1]}, C_S_T_Price:{data['AskPrice1'] + param.py}, T_Lots:{param.Lots}"
+                        send_mail(text)
+
+                    if param.pos == 0 and 开多组合:
+                        print(
+                            "开多：    ",
+                            "ExchangeID: ",
+                            data["ExchangeID"],
+                            "InstrumentID",
+                            data["InstrumentID"],
+                            "AskPrice1",
+                            data["AskPrice1"] + param.py,
+                        )
+                        # 开多
+                        self.insert_order(
+                            data["ExchangeID"],
+                            data["InstrumentID"],
+                            data["AskPrice1"] + param.py,
+                            param.Lots,
+                            b"0",
+                            b"0",
+                        )
+                        print(
+                            "datetime+sig: ",
+                            trade_df["datetime"].iloc[-1],
+                            "多头开仓",
+                            "开仓价格：",
+                            data["AskPrice1"] + param.py,
+                            "堆积数：",
+                            trade_df["dj"].iloc[-1],
+                        )
+                        param.pos = 1
+                        param.long_trailing_stop_price = data["AskPrice1"]
+                        param.sl_long_price = data["AskPrice1"]
+                        self.save_to_csv(instrument_id)
+
+                        # 发送邮件
+                        text = f"O_L_T ID:{data['InstrumentID']}, datetime:{trade_df['datetime'].iloc[-1]}, O_L_T_Price:{data['AskPrice1'] + param.py}, T_Lots:{param.Lots}"
+                        send_mail(text)
+
+                    if param.pos > 0 and 平多条件:
+                        print(
+                            "平多：   ",
+                            "ExchangeID: ",
+                            data["ExchangeID"],
+                            "InstrumentID",
+                            data["InstrumentID"],
+                            "BidPrice1",
+                            data["BidPrice1"] - param.py,
+                        )
+                        # 平多
+                        self.insert_order(
+                            data["ExchangeID"],
+                            data["InstrumentID"],
+                            data["BidPrice1"] - param.py,
+                            param.Lots,
+                            b"1",
+                            b"1",
+                        )
+                        self.insert_order(
+                            data["ExchangeID"],
+                            data["InstrumentID"],
+                            data["BidPrice1"] - param.py,
+                            param.Lots,
+                            b"1",
+                            b"3",
+                        )
+
+                        param.pos = 0
+                        param.long_trailing_stop_price = 0
+                        param.sl_long_price = 0
+                        print(
+                            "datetime+sig: ",
+                            trade_df["datetime"].iloc[-1],
+                            "反手平多",
+                            "平仓价格：",
+                            data["BidPrice1"] - param.py,
+                            "堆积数：",
+                            trade_df["dj"].iloc[-1],
+                        )
+                        self.save_to_csv(instrument_id)
+
+                        # 发送邮件
+                        # text = f"平多交易： 交易品种为{data['InstrumentID']}, 交易时间为{trade_df['datetime'].iloc[-1]}, 反手平多的平仓价格{data['BidPrice1']-param.py}, 交易手数位{param.Lots}"
+                        text = f"C_L_T: ID:{data['InstrumentID']}, datetime:{trade_df['datetime'].iloc[-1]}, C_L_T_Price:{data['BidPrice1'] - param.py}, T_Lots:{param.Lots}"
+                        send_mail(text)
+
+                    if param.pos == 0 and 开空条件:
+                        print(
+                            "开空：   ",
+                            "ExchangeID: ",
+                            data["ExchangeID"],
+                            "InstrumentID",
+                            data["InstrumentID"],
+                            "BidPrice1",
+                            data["BidPrice1"],
+                        )
+                        # 开空
+                        self.insert_order(
+                            data["ExchangeID"],
+                            data["InstrumentID"],
+                            data["BidPrice1"] - param.py,
+                            param.Lots,
+                            b"1",
+                            b"0",
+                        )
+                        print(
+                            "datetime+sig: ",
+                            trade_df["datetime"].iloc[-1],
+                            "空头开仓",
+                            "开仓价格：",
+                            data["BidPrice1"] - param.py,
+                            "堆积数：",
+                            trade_df["dj"].iloc[-1],
+                        )
+                        param.pos = -1
+                        param.short_trailing_stop_price = data["BidPrice1"]
+                        param.sl_shor_price = data["BidPrice1"]
+                        self.save_to_csv(instrument_id)
+
+                        # 发送邮件
+                        text = f"O_S_T: ID:{data['InstrumentID']}, datetime:{trade_df['datetime'].iloc[-1]}, O_S_T_Price:{data['BidPrice1'] - param.py}, T_Lots:{param.Lots}"
+                        send_mail(text)
+
+                    print(trade_df)
+                    print("------------------------------------------------")
+                    # print(trade_df.iloc[0])
+                    # print(trade_df.iloc[-1])
+                    param.cont_df = len(trade_df)
+            except queue.Empty:
+                # print(f"当前合约队列为空，等待新数据插入。")
+                pass
+
+    # 将CTP推送的行情数据分发给对应线程队列去执行
+    def distribute_tick(self):
+        while True:
+            if self.status == 0:
+                data = None
+                while not self.md_queue.empty():
+                    data = self.md_queue.get(block=False)
+                    instrument_id = data["InstrumentID"].decode()  # 品种代码
+                    try:
+                        self.queue_dict[instrument_id].put(
+                            data, block=False
+                        )  # 往对应合约队列中插入行情
+                        # print(f"{instrument_id}合约数据插入。")
+                    except queue.Full:
+                        # 当某个线程阻塞导致对应队列容量超限时抛出异常，不会影响其他合约的信号计算
+                        print(
+                            f"{instrument_id}合约信号计算阻塞导致对应队列已满，请检查对应代码逻辑后重启。"
+                        )
+            else:
+                time.sleep(1)
+
+    def start(self, param_dict):
+        threads = []
+        self.param_dict = param_dict
+
+        for symbol in param_dict.keys():
+            # folder_path = "traderdata"
+            # ofdata_file_path = os.path.join("traderdata", f"{str(symbol)}_ofdata.csv")
+            if os.path.exists(f"traderdata/{symbol}_ofdata.csv"):
+                columns = [
+                    "price",
+                    "Ask",
+                    "Bid",
+                    "symbol",
+                    "datetime",
+                    "delta",
+                    "close",
+                    "open",
+                    "high",
+                    "low",
+                    "volume",
+                    "dj",
+                ]
+                # import csv
+                # with open(f"traderdata/{symbol}_ofdata.csv", "r") as f:
+                #     reader = csv.reader(f)
+                #     for i, row in enumerate(reader, 1):
+                #         if len(row) != 12:
+                #             print(f"Line {i} has {len(row)} columns: {row}")
+                trade_dfs[symbol] = pd.read_csv(
+                    f"traderdata/{symbol}_ofdata.csv", usecols=columns
+                )
+
+            else:
+                trade_dfs[symbol] = pd.DataFrame({})
+            self.queue_dict[symbol] = queue.Queue(
+                20
+            )  # 为每个合约创建一个限制数为10的队列，当计算发生阻塞导致队列达到限制数时会抛出异常
+            t = threading.Thread(
+                target=self.cal_sig, args=(self.queue_dict[symbol],)
+            )  # 为每个合约单独创建一个线程计算开仓逻辑
+            threads.append(t)
+            t.start()
+        self.distribute_tick()
+        for t in threads:
+            t.join()
+
+
+def run_trader(
+    param_dict,
+    broker_id,
+    td_server,
+    investor_id,
+    password,
+    app_id,
+    auth_code,
+    md_queue=None,
+    page_dir="",
+    private_resume_type=2,
+    public_resume_type=2,
+):
+    my_trader = MyTrader(
+        broker_id,
+        td_server,
+        investor_id,
+        password,
+        app_id,
+        auth_code,
+        md_queue,
+        page_dir,
+        private_resume_type,
+        public_resume_type,
+    )
+    my_trader.start(param_dict)
+
+
+if __name__ == "__main__":
+    # 注意：运行前请先安装好algoplus,
+    # pip install AlgoPlus
+    # http://www.algo.plus/ctp/python/0103001.html
+
+    param_dict = {}
+    # param_dict["IM2503"] = ParamObj(
+    #     symbol="IM2503",
+    #     Lots=1,
+    #     py=5,
+    #     trailing_stop_percent=0.01,
+    #     fixed_stop_loss_percent=0.02,
+    #     dj_X=8,
+    #     delta=500,
+    #     sum_delta=800,
+    #     失衡=3,
+    #     堆积=3,
+    #     周期="5min",
+    # )
+    # param_dict["IF2503"] = ParamObj(
+    #     symbol="IF2503",
+    #     Lots=1,
+    #     py=5,
+    #     trailing_stop_percent=0.01,
+    #     fixed_stop_loss_percent=0.02,
+    #     dj_X=5,
+    #     delta=300,
+    #     sum_delta=300,
+    #     失衡=3,
+    #     堆积=3,
+    #     周期="5min",
+    # )
+    # param_dict["IH2503"] = ParamObj(
+    #     symbol="IH2503",
+    #     Lots=1,
+    #     py=5,
+    #     trailing_stop_percent=0.01,
+    #     fixed_stop_loss_percent=0.02,
+    #     dj_X=5,
+    #     delta=300,
+    #     sum_delta=300,
+    #     失衡=3,
+    #     堆积=3,
+    #     周期="5min",
+    # )
+    # param_dict["rb2505"] = ParamObj(
+    #     symbol="rb2505",
+    #     Lots=1,
+    #     py=5,
+    #     trailing_stop_percent=0.01,
+    #     fixed_stop_loss_percent=0.02,
+    #     dj_X=8,
+    #     delta=1500,
+    #     sum_delta=2000,
+    #     失衡=3,
+    #     堆积=3,
+    #     周期="5min",
+    # )
+    param_dict["ag2504"] = ParamObj(
+        symbol="ag2504",
+        Lots=1,
+        py=5,
+        trailing_stop_percent=0.01,
+        fixed_stop_loss_percent=0.02,
+        dj_X=8,
+        delta=1500,
+        sum_delta=2000,
+        失衡=3,
+        堆积=3,
+        周期="1min",
+    )
+    # 用simnow模拟，不要忘记屏蔽下方实盘的future_account字典
+    # SIMULATE_SERVER = {
+    #     '电信1': {'BrokerID': 9999, 'TDServer': "180.168.146.187:10201", 'MDServer': '180.168.146.187:10211', 'AppID': 'simnow_client_test', 'AuthCode': '0000000000000000'},
+    #     '电信2': {'BrokerID': 9999, 'TDServer': "180.168.146.187:10202", 'MDServer': '180.168.146.187:10212', 'AppID': 'simnow_client_test', 'AuthCode': '0000000000000000'},
+    #     '移动': {'BrokerID': 9999, 'TDServer': "218.202.237.33:10203", 'MDServer': '218.202.237.33:10213', 'AppID': 'simnow_client_test', 'AuthCode': '0000000000000000'},
+    #     'TEST': {'BrokerID': 9999, 'TDServer': "180.168.146.187:10130", 'MDServer': '180.168.146.187:10131', 'AppID': 'simnow_client_test', 'AuthCode': '0000000000000000'},
+    #     'N视界': {'BrokerID': 10010, 'TDServer': "210.14.72.12:4600", 'MDServer': '210.14.72.12:4602', 'AppID': '', 'AuthCode': ''},
+    # }
+    # BrokerID统一为：9999
+    # 支持上期所期权、能源中心期权、中金所期权、广期所期权、郑商所期权、大商所期权
+    # 第一组
+    # Trade Front：180.168.146.187:10201，Market Front：180.168.146.187:10211；【电信】（看穿式前置，使用监控中心生产秘钥）
+
+    # 第二组
+    # Trade Front：180.168.146.187:10202，Market Front：180.168.146.187:10212；【电信】（看穿式前置，使用监控中心生产秘钥）
+
+    # 第三组
+    # Trade Front：218.202.237.33:10203，Market Front：218.202.237.33:10213；【移动】（看穿式前置，使用监控中心生产秘钥）
+
+    # 用户注册后，默认的APPID为simnow_client_test，认证码为0000000000000000（16个0），默认开启终端认证，程序化用户可以选择不开终端认证接入。
+
+    future_account = get_simulate_account(
+        investor_id="135858",  # simnow账户，注意是登录账户的ID，SIMNOW个人首页查看
+        password="Zj1234!@#%",  # simnow密码
+        server_name="电信1",  # 电信1、电信2、移动、TEST、N视界
+        subscribe_list=list(param_dict.keys()),  # 合约列表
+    )
+
+    # 实盘用这个，不要忘记屏蔽上方simnow的future_account字典
+    # future_account = FutureAccount(
+    #     broker_id='9999',  # 期货公司BrokerID
+    #     server_dict={'TDServer': "180.168.146.187:10201", 'MDServer': '180.168.146.187:10211'},  # TDServer为交易服务器，MDServer为行情服务器。服务器地址格式为"ip:port。"
+    #     reserve_server_dict={},  # 备用服务器地址
+    #     investor_id='223828',  # 账户
+    #     password='Zj1234!@#%',  # 密码
+    #     app_id='simnow_client_test',  # 认证使用AppID
+    #     auth_code='0000000000000000',  # 认证使用授权码
+    #     subscribe_list=list(param_dict.keys()),  # 订阅合约列表
+    #     md_flow_path='./log',  # MdApi流文件存储地址，默认MD_LOCATION
+    #     td_flow_path='./log',  # TraderApi流文件存储地址，默认TD_LOCATION
+    # )
+
+    # 实盘用这个，不要忘记屏蔽上方simnow的future_account字典
+    # future_account = FutureAccount(
+    #     broker_id='8888',  # 期货公司BrokerID
+    #     server_dict={'TDServer': "103.140.14.210:43205", 'MDServer': '103.140.14.210:43173'},  # TDServer为交易服务器，MDServer为行情服务器。服务器地址格式为"ip:port。"
+    #     reserve_server_dict={},  # 备用服务器地址
+    #     investor_id='155878',  # 账户
+    #     password='Zj82334475',  # 密码
+    #     app_id='vntech_vnpy_2.0',  # 认证使用AppID
+    #     auth_code='N46EKN6TJ9U7V06V',  # 认证使用授权码
+    #     subscribe_list=list(param_dict.keys()),  # 订阅合约列表
+    #     md_flow_path='./log',  # MdApi流文件存储地址，默认MD_LOCATION
+    #     td_flow_path='./log',  # TraderApi流文件存储地址，默认TD_LOCATION
+    # )
+
+    print("开始", len(future_account.subscribe_list))
+    # 共享队列
+    share_queue = Queue(maxsize=200)
+
+    # 行情进程
+    md_process = Process(target=run_tick_engine, args=(future_account, [share_queue]))
+
+    # 交易进程
+    trader_process = Process(
+        target=run_trader,
+        args=(
+            param_dict,
+            future_account.broker_id,
+            future_account.server_dict["TDServer"],
+            future_account.investor_id,
+            future_account.password,
+            future_account.app_id,
+            future_account.auth_code,
+            share_queue,  # 队列
+            future_account.td_flow_path,
+        ),
+    )
+
+    md_process.start()
+    trader_process.start()
+
+    md_process.join()
+    trader_process.join()
diff --git a/log/1148/md.con/DialogRsp.con b/log/1148/md.con/DialogRsp.con
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