增加交易策略、交易指标、量化库代码等文件夹

2025-04-27 15:54:09 +08:00
parent ca3b209096
commit f57150dae8
589 changed files with 854346 additions and 1757 deletions
@@ -0,0 +1,122 @@
+import subprocess
+import schedule
+import time
+from datetime import datetime
+
+#   jerome：增加akshare库
+import akshare as ak
+
+#   jerome:增加下列库用于爬虫获取主力连续代码
+import pandas as pd
+import requests
+from bs4 import BeautifulSoup
+import csv
+import re
+import os
+
+# 获取当前工作目录
+current_directory = os.getcwd()
+print("当前工作目录：", current_directory)
+# 设置新的工作目录
+new_directory = "C:/simnow_trader"
+os.chdir(new_directory) 
+# 验证新的工作目录
+updated_directory = os.getcwd()
+print("已更改为新的工作目录：", updated_directory)
+
+
+# 定义要启动的文件
+files_to_run = ['dingdanliu_nb.py']
+
+
+def run_scripts():
+    print("启动程序...")
+    for file in files_to_run:
+        time.sleep(1)
+        # 使用subprocess模块运行命令
+        subprocess.Popen(['start', 'cmd', '/k', 'python', file], shell=True)
+        print(file)
+    print(datetime.now(),'程序重新启动完成，等待明天关闭重启')
+
+
+def close_scripts():
+    print("关闭程序...")
+    # 通过创建一个包含关闭指定窗口命令的批处理文件来关闭CMD窗口
+    def close_specific_cmd_window(cmd_window_title):
+        with open("close_cmd_window.bat", "w") as batch_file:
+            batch_file.write(f'@echo off\nfor /f "tokens=2 delims=," %%a in (\'tasklist /v /fo csv ^| findstr /i "{cmd_window_title}"\') do taskkill /pid %%~a')
+
+        # 运行批处理文件
+        subprocess.run("close_cmd_window.bat", shell=True)
+        
+
+    # 循环关闭所有脚本对应的CMD窗口
+    for title in files_to_run:
+        close_specific_cmd_window(title)
+    print(datetime.now(),'已关闭程序，等待重新运行程序')
+
+#   jerome:增加使用akshare获取期货的手续费等数据，并保存到对应目录下
+def get_futures_fees_info():
+    futures_fees_info_df = ak.futures_fees_info() 
+    futures_fees_info_df[['品种代码', '交割月份']] = futures_fees_info_df['合约'].apply(lambda x: pd.Series(split_alpha_numeric(x)))
+    futures_fees_info_df.to_csv(r'./futures_fees_info.csv', index=False)
+    print("期货费率表已经保存为futures_fees_info.csv")
+
+def get_main_contacts():
+    url = "https://www.9qihuo.com/hangqing"
+
+    # 发送GET请求，禁用SSL验证
+    response = requests.get(url, verify=False)
+    response.encoding = 'utf-8'  # 确保编码正确
+
+    # 解析网页内容
+    soup = BeautifulSoup(response.text, 'lxml')
+
+    # 找到目标表格
+    table = soup.find('table', {'id': 'tblhangqinglist'})
+
+    # 初始化CSV文件
+    with open('tmp_main_contacts.csv', mode='w', newline='', encoding='utf-8') as file:
+        writer = csv.writer(file)
+        
+        # 遍历表格的所有行
+        for row in table.find_all('tr'):
+            # 获取每一行的所有单元格
+            cols = row.find_all(['th', 'td'])
+            # 提取文本内容并写入CSV文件
+            writer.writerow([col.text.strip() for col in cols])
+
+    df = pd.read_csv('./tmp_main_contacts.csv',encoding='utf-8')
+    df['交易品种'] = df['合约'].str.split(r'[()]', n=1, expand=True)[0]
+    df['主连代码'] = df['合约'].str.split(r'[()]', n=2, expand=True)[1]
+
+    df[['品种代码', '交割月份']] = df['主连代码'].apply(lambda x: pd.Series(split_alpha_numeric(x)))
+    df.to_csv('./main_contacts.csv')
+
+    print("期货主力品种表已经保存为main_contacts.csv")
+    os.remove("./tmp_main_contacts.csv")
+
+#   拆分字母和数字的函数
+def split_alpha_numeric(s):
+    match = re.match(r"([a-zA-Z]+)([0-9]+)", s)
+    if match:
+        return match.groups()
+    else:
+        return (s, None)  # 如果没有匹配，返回原始字符串和None
+
+# 设置定时任务，关闭程序
+schedule.every().day.at("15:30").do(close_scripts)
+schedule.every().day.at("03:00").do(close_scripts)
+
+# 设置定时任务，启动程序
+schedule.every().day.at("08:57").do(run_scripts)
+schedule.every().day.at("20:55").do(run_scripts)
+
+# # # 设置定时任务，生成futures_fees_info和main_contacts
+schedule.every().day.at("20:50").do(get_futures_fees_info)
+schedule.every().day.at("20:50").do(get_main_contacts)
+
+# 保持脚本运行，等待定时任务触发
+while True:
+    schedule.run_pending()
+    time.sleep(1)