Enhance trading workflow with new order flow management

- Added dingdanliu_nb_mflow for improved order processing
- Updated related scripts and configurations to support new functionality

2.数据下载与处理/download_data.ipynb

@@ -0,0 +1,180 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 配置迅投研数据服务\n",
+    "from vnpy.trader.setting import SETTINGS\n",
+    "\n",
+    "SETTINGS[\"datafeed.name\"] = \"xt\"\n",
+    "SETTINGS[\"datafeed.username\"] = \"token\"\n",
+    "SETTINGS[\"datafeed.password\"] = \"ef326f853a744c58572f0158d470912c38a09552\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 加载功能模块\n",
+    "from datetime import datetime\n",
+    "\n",
+    "from vnpy.trader.datafeed import get_datafeed\n",
+    "from vnpy.trader.object import HistoryRequest, Exchange, Interval\n",
+    "\n",
+    "from vnpy_sqlite import Database as SqliteDatabase\n",
+    "#from elite_database import Database as EliteDatabase\n",
+    "\n",
+    "#增加\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 初始化数据服务\n",
+    "datafeed = get_datafeed()\n",
+    "datafeed.init()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 交易所映射关系\n",
+    "EXCHANGE_XT2VT = {\n",
+    "    \"SH\": Exchange.SSE,\n",
+    "    \"SZ\": Exchange.SZSE,\n",
+    "    \"BJ\": Exchange.BSE,\n",
+    "    \"SF\": Exchange.SHFE,\n",
+    "    \"IF\": Exchange.CFFEX,\n",
+    "    \"INE\": Exchange.INE,\n",
+    "    \"DF\": Exchange.DCE,\n",
+    "    \"ZF\": Exchange.CZCE,\n",
+    "    \"GF\": Exchange.GFEX\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "数据长度 41336\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 查询期货历史数据\n",
+    "req = HistoryRequest(\n",
+    "    symbol=\"rb00\",    # 加权指数 \n",
+    "    # symbol=\"IF00\",      # 主力连续（未平滑）\n",
+    "    # exchange=Exchange.CFFEX,\n",
+    "    exchange = EXCHANGE_XT2VT[\"SF\"],\n",
+    "    start=datetime(2023, 1, 1),\n",
+    "    end=datetime(2023, 11, 24),#end=datetime.now(),\n",
+    "    interval=Interval.TICK\n",
+    ")\n",
+    "\n",
+    "ticks = datafeed.query_tick_history(req)\n",
+    "print(\"数据长度\", len(ticks))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 创建Elite数据库实例并写入数据\n",
+    "#db2 = EliteDatabase()\n",
+    "#db2.save_bar_data(bars)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.DataFrame(ticks)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 创建CSV文件并写入数据\n",
+    "filepath = \"rb00_11.csv\" # CSV文件保存路径及文件名\n",
+    "df.to_csv(filepath, index=False) # index参数设置为False表示不包含索引列\n",
+    "#df.to_csv(filepath, mode='a', index=False, header=False)  # index参数设置为False表示不包含索引列"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 读取CSV文件\n",
+    "data = pd.read_csv(\"IC0.csv\")\n",
+    "# 对数据进行排序\n",
+    "sorted_data = data.sort_values(by='datetime')\n",
+    "# 将排序结果写入CSV文件\n",
+    "sorted_data.to_csv('sort_IC00.csv', index=False)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.9"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "1b43cb0bd93d5abbadd54afed8252f711d4681fe6223ad6b67ffaee289648f85"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}