diff --git a/材料准备/财报信息.ipynb b/材料准备/财报信息.ipynb
index 54e441b..f72e100 100644
--- a/材料准备/财报信息.ipynb
+++ b/材料准备/财报信息.ipynb
@@ -73,31 +73,31 @@
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-01-13T01:30:08.656800Z",
-     "start_time": "2025-01-13T01:30:08.653794Z"
+     "end_time": "2025-01-13T09:08:04.607819Z",
+     "start_time": "2025-01-13T09:08:04.602640Z"
     }
    },
    "cell_type": "code",
    "source": [
-    "start_year = 2014\n",
+    "start_year = 1990\n",
     "end_year = 2024"
    ],
    "id": "dc68cde196159626",
    "outputs": [],
-   "execution_count": 3
+   "execution_count": 11
   },
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-01-13T01:39:39.349170Z",
-     "start_time": "2025-01-13T01:30:08.660347Z"
+     "end_time": "2025-01-13T09:09:36.004427Z",
+     "start_time": "2025-01-13T09:08:33.797018Z"
     }
    },
    "cell_type": "code",
    "source": [
     "# 财务负债表\n",
     "balance_sheet_df = clean_df(get_balance_sheet_df(start_year, end_year))\n",
-    "balance_sheet_df.to_csv(\"../temp/balance_sheet.csv\", index=False)"
+    "balance_sheet_df.to_csv(f\"/Users/lanyuanxiaoyao/SynologyDrive/data/Tushare/财务报表/资产负债表{start_year}-{end_year}.csv\", index=False)"
    ],
    "id": "33cd797a12ad567e",
    "outputs": [
@@ -105,8 +105,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Pull balance sheet: 2014\n",
-      "Pull balance sheet: 2015\n"
+      "Pull balance sheet: 1990\n",
+      "Pull balance sheet: 1991\n",
+      "Pull balance sheet: 1992\n"
      ]
     },
     {
@@ -121,6 +122,29 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "Pull balance sheet: 1993\n",
+      "Pull balance sheet: 1994\n",
+      "Pull balance sheet: 1995\n",
+      "Pull balance sheet: 1996\n",
+      "Pull balance sheet: 1997\n",
+      "Pull balance sheet: 1998\n",
+      "Pull balance sheet: 1999\n",
+      "Pull balance sheet: 2000\n",
+      "Pull balance sheet: 2001\n",
+      "Pull balance sheet: 2002\n",
+      "Pull balance sheet: 2003\n",
+      "Pull balance sheet: 2004\n",
+      "Pull balance sheet: 2005\n",
+      "Pull balance sheet: 2006\n",
+      "Pull balance sheet: 2007\n",
+      "Pull balance sheet: 2008\n",
+      "Pull balance sheet: 2009\n",
+      "Pull balance sheet: 2010\n",
+      "Pull balance sheet: 2011\n",
+      "Pull balance sheet: 2012\n",
+      "Pull balance sheet: 2013\n",
+      "Pull balance sheet: 2014\n",
+      "Pull balance sheet: 2015\n",
       "Pull balance sheet: 2016\n",
       "Pull balance sheet: 2017\n",
       "Pull balance sheet: 2018\n",
@@ -141,19 +165,19 @@
      ]
     }
    ],
-   "execution_count": 4
+   "execution_count": 12
   },
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-01-13T01:43:28.007135Z",
-     "start_time": "2025-01-13T01:39:39.363037Z"
+     "end_time": "2025-01-13T09:11:33.507055Z",
+     "start_time": "2025-01-13T09:10:33.447304Z"
     }
    },
    "cell_type": "code",
    "source": [
     "income_df = clean_df(get_income_df(start_year, end_year))\n",
-    "income_df.to_csv(\"../temp/income.csv\", index=False)"
+    "income_df.to_csv(f\"/Users/lanyuanxiaoyao/SynologyDrive/data/Tushare/财务报表/利润表{start_year}-{end_year}.csv\", index=False)"
    ],
    "id": "17306c1524f5e173",
    "outputs": [
@@ -161,8 +185,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Pull income: 2014\n",
-      "Pull income: 2015\n"
+      "Pull income: 1990\n",
+      "Pull income: 1991\n",
+      "Pull income: 1992\n"
      ]
     },
     {
@@ -177,6 +202,29 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "Pull income: 1993\n",
+      "Pull income: 1994\n",
+      "Pull income: 1995\n",
+      "Pull income: 1996\n",
+      "Pull income: 1997\n",
+      "Pull income: 1998\n",
+      "Pull income: 1999\n",
+      "Pull income: 2000\n",
+      "Pull income: 2001\n",
+      "Pull income: 2002\n",
+      "Pull income: 2003\n",
+      "Pull income: 2004\n",
+      "Pull income: 2005\n",
+      "Pull income: 2006\n",
+      "Pull income: 2007\n",
+      "Pull income: 2008\n",
+      "Pull income: 2009\n",
+      "Pull income: 2010\n",
+      "Pull income: 2011\n",
+      "Pull income: 2012\n",
+      "Pull income: 2013\n",
+      "Pull income: 2014\n",
+      "Pull income: 2015\n",
       "Pull income: 2016\n",
       "Pull income: 2017\n",
       "Pull income: 2018\n",
@@ -197,19 +245,19 @@
      ]
     }
    ],
-   "execution_count": 5
+   "execution_count": 13
   },
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-01-13T01:46:46.375157Z",
-     "start_time": "2025-01-13T01:43:28.011213Z"
+     "end_time": "2025-01-13T09:13:32.890801Z",
+     "start_time": "2025-01-13T09:12:46.032342Z"
     }
    },
    "cell_type": "code",
    "source": [
     "cash_flow_df = clean_df(get_cash_flow_df(start_year, end_year))\n",
-    "cash_flow_df.to_csv(\"../temp/cash_flow.csv\", index=False)"
+    "cash_flow_df.to_csv(f\"/Users/lanyuanxiaoyao/SynologyDrive/data/Tushare/财务报表/现金流量表{start_year}-{end_year}.csv\", index=False)"
    ],
    "id": "334dbe20f2047a1e",
    "outputs": [
@@ -217,8 +265,15 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Pull cash flow: 2014\n",
-      "Pull cash flow: 2015\n"
+      "Pull cash flow: 1990\n",
+      "Pull cash flow: 1991\n",
+      "Pull cash flow: 1992\n",
+      "Pull cash flow: 1993\n",
+      "Pull cash flow: 1994\n",
+      "Pull cash flow: 1995\n",
+      "Pull cash flow: 1996\n",
+      "Pull cash flow: 1997\n",
+      "Pull cash flow: 1998\n"
      ]
     },
     {
@@ -233,6 +288,23 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "Pull cash flow: 1999\n",
+      "Pull cash flow: 2000\n",
+      "Pull cash flow: 2001\n",
+      "Pull cash flow: 2002\n",
+      "Pull cash flow: 2003\n",
+      "Pull cash flow: 2004\n",
+      "Pull cash flow: 2005\n",
+      "Pull cash flow: 2006\n",
+      "Pull cash flow: 2007\n",
+      "Pull cash flow: 2008\n",
+      "Pull cash flow: 2009\n",
+      "Pull cash flow: 2010\n",
+      "Pull cash flow: 2011\n",
+      "Pull cash flow: 2012\n",
+      "Pull cash flow: 2013\n",
+      "Pull cash flow: 2014\n",
+      "Pull cash flow: 2015\n",
       "Pull cash flow: 2016\n",
       "Pull cash flow: 2017\n",
       "Pull cash flow: 2018\n",
@@ -253,7 +325,7 @@
      ]
     }
    ],
-   "execution_count": 6
+   "execution_count": 15
   },
   {
    "metadata": {
@@ -672,6 +744,402 @@
     }
    ],
    "execution_count": 8
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-01-13T09:37:00.340262Z",
+     "start_time": "2025-01-13T09:36:59.184110Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "import akshare as ak\n",
+    "\n",
+    "# ak.stock_balance_sheet_by_yearly_em(\"SZ000001\")\n",
+    "# df = ak.stock_financial_report_sina(\"sz000001\", symbol=\"资产负债表\")\n",
+    "df = ak.stock_financial_benefit_ths(\"000001\")\n",
+    "# df[df[\"报告日\"].str.endswith(\"1231\")]\n",
+    "df"
+   ],
+   "id": "582154dbc28b6bd",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "            报告期 报表核心指标      *净利润    *营业总收入     *营业支出 *归属于母公司所有者的净利润  \\\n",
+       "0    2024-09-30          397.29亿  1115.82亿   637.13亿        397.29亿   \n",
+       "1    2024-06-30          258.79亿   771.32亿   450.45亿        258.79亿   \n",
+       "2    2024-03-31          149.32亿   387.70亿   202.16亿        149.32亿   \n",
+       "3    2023-12-31          464.55亿  1646.99亿  1067.71亿        464.55亿   \n",
+       "4    2023-09-30          396.35亿  1276.34亿   785.87亿        396.35亿   \n",
+       "..          ...    ...       ...       ...       ...            ...   \n",
+       "110  1993-06-30            1.37亿     2.66亿     False          1.37亿   \n",
+       "111  1992-12-31            1.72亿     4.76亿     False          1.72亿   \n",
+       "112  1991-12-31            1.13亿     3.35亿     False          1.13亿   \n",
+       "113  1990-12-31         7087.50万     False     False       7087.50万   \n",
+       "114  1989-12-31         4302.00万     False     False       4302.00万   \n",
+       "\n",
+       "    *扣除非经常性损益后的净利润 报表全部指标   一、营业总收入   其中：营业收入  ... 少数股东损益 扣除非经常性损益后的利润 六、每股收益  \\\n",
+       "0          397.48亿         1115.82亿  1115.82亿  ...  False      397.48亿          \n",
+       "1          258.80亿          771.32亿   771.32亿  ...  False      258.80亿          \n",
+       "2          149.06亿          387.70亿   387.70亿  ...  False      149.06亿          \n",
+       "3          464.31亿         1646.99亿  1646.99亿  ...  False      464.31亿          \n",
+       "4          395.68亿         1276.34亿  1276.34亿  ...  False      395.68亿          \n",
+       "..             ...    ...       ...       ...  ...    ...          ...    ...   \n",
+       "110          False            2.66亿     2.66亿  ...  False        False          \n",
+       "111          False            4.76亿     4.76亿  ...  False        False          \n",
+       "112          False            3.35亿     3.35亿  ...  False        False          \n",
+       "113          False            False     False  ...  False        False          \n",
+       "114          False            False     False  ...  False        False          \n",
+       "\n",
+       "    （一）基本每股收益 （二）稀释每股收益 七、其他综合收益 归属母公司所有者的其他综合收益 八、综合收益总额 归属于母公司股东的综合收益总额  \\\n",
+       "0        1.94      1.94   -7.86亿          -7.86亿  389.43亿           False   \n",
+       "1        1.23      1.23   -3.56亿          -3.56亿  255.23亿           False   \n",
+       "2        0.66      0.66    3.45亿           3.45亿  152.77亿           False   \n",
+       "3        2.25      2.25   -3.72亿          -3.72亿  460.83亿           False   \n",
+       "4        1.94      1.94   -8.38亿          -8.38亿  387.97亿           False   \n",
+       "..        ...       ...      ...             ...      ...             ...   \n",
+       "110     False     False    False           False    False           False   \n",
+       "111     False     False    False           False    False           False   \n",
+       "112     False     False    False           False    False           False   \n",
+       "113     False     False    False           False    False           False   \n",
+       "114     False     False    False           False    False           False   \n",
+       "\n",
+       "    归属于少数股东的综合收益总额  \n",
+       "0            False  \n",
+       "1            False  \n",
+       "2            False  \n",
+       "3            False  \n",
+       "4            False  \n",
+       "..             ...  \n",
+       "110          False  \n",
+       "111          False  \n",
+       "112          False  \n",
+       "113          False  \n",
+       "114          False  \n",
+       "\n",
+       "[115 rows x 43 columns]"
+      ],
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>报告期</th>\n",
+       "      <th>报表核心指标</th>\n",
+       "      <th>*净利润</th>\n",
+       "      <th>*营业总收入</th>\n",
+       "      <th>*营业支出</th>\n",
+       "      <th>*归属于母公司所有者的净利润</th>\n",
+       "      <th>*扣除非经常性损益后的净利润</th>\n",
+       "      <th>报表全部指标</th>\n",
+       "      <th>一、营业总收入</th>\n",
+       "      <th>其中：营业收入</th>\n",
+       "      <th>...</th>\n",
+       "      <th>少数股东损益</th>\n",
+       "      <th>扣除非经常性损益后的利润</th>\n",
+       "      <th>六、每股收益</th>\n",
+       "      <th>（一）基本每股收益</th>\n",
+       "      <th>（二）稀释每股收益</th>\n",
+       "      <th>七、其他综合收益</th>\n",
+       "      <th>归属母公司所有者的其他综合收益</th>\n",
+       "      <th>八、综合收益总额</th>\n",
+       "      <th>归属于母公司股东的综合收益总额</th>\n",
+       "      <th>归属于少数股东的综合收益总额</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2024-09-30</td>\n",
+       "      <td></td>\n",
+       "      <td>397.29亿</td>\n",
+       "      <td>1115.82亿</td>\n",
+       "      <td>637.13亿</td>\n",
+       "      <td>397.29亿</td>\n",
+       "      <td>397.48亿</td>\n",
+       "      <td></td>\n",
+       "      <td>1115.82亿</td>\n",
+       "      <td>1115.82亿</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>397.48亿</td>\n",
+       "      <td></td>\n",
+       "      <td>1.94</td>\n",
+       "      <td>1.94</td>\n",
+       "      <td>-7.86亿</td>\n",
+       "      <td>-7.86亿</td>\n",
+       "      <td>389.43亿</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2024-06-30</td>\n",
+       "      <td></td>\n",
+       "      <td>258.79亿</td>\n",
+       "      <td>771.32亿</td>\n",
+       "      <td>450.45亿</td>\n",
+       "      <td>258.79亿</td>\n",
+       "      <td>258.80亿</td>\n",
+       "      <td></td>\n",
+       "      <td>771.32亿</td>\n",
+       "      <td>771.32亿</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>258.80亿</td>\n",
+       "      <td></td>\n",
+       "      <td>1.23</td>\n",
+       "      <td>1.23</td>\n",
+       "      <td>-3.56亿</td>\n",
+       "      <td>-3.56亿</td>\n",
+       "      <td>255.23亿</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2024-03-31</td>\n",
+       "      <td></td>\n",
+       "      <td>149.32亿</td>\n",
+       "      <td>387.70亿</td>\n",
+       "      <td>202.16亿</td>\n",
+       "      <td>149.32亿</td>\n",
+       "      <td>149.06亿</td>\n",
+       "      <td></td>\n",
+       "      <td>387.70亿</td>\n",
+       "      <td>387.70亿</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>149.06亿</td>\n",
+       "      <td></td>\n",
+       "      <td>0.66</td>\n",
+       "      <td>0.66</td>\n",
+       "      <td>3.45亿</td>\n",
+       "      <td>3.45亿</td>\n",
+       "      <td>152.77亿</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2023-12-31</td>\n",
+       "      <td></td>\n",
+       "      <td>464.55亿</td>\n",
+       "      <td>1646.99亿</td>\n",
+       "      <td>1067.71亿</td>\n",
+       "      <td>464.55亿</td>\n",
+       "      <td>464.31亿</td>\n",
+       "      <td></td>\n",
+       "      <td>1646.99亿</td>\n",
+       "      <td>1646.99亿</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>464.31亿</td>\n",
+       "      <td></td>\n",
+       "      <td>2.25</td>\n",
+       "      <td>2.25</td>\n",
+       "      <td>-3.72亿</td>\n",
+       "      <td>-3.72亿</td>\n",
+       "      <td>460.83亿</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2023-09-30</td>\n",
+       "      <td></td>\n",
+       "      <td>396.35亿</td>\n",
+       "      <td>1276.34亿</td>\n",
+       "      <td>785.87亿</td>\n",
+       "      <td>396.35亿</td>\n",
+       "      <td>395.68亿</td>\n",
+       "      <td></td>\n",
+       "      <td>1276.34亿</td>\n",
+       "      <td>1276.34亿</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>395.68亿</td>\n",
+       "      <td></td>\n",
+       "      <td>1.94</td>\n",
+       "      <td>1.94</td>\n",
+       "      <td>-8.38亿</td>\n",
+       "      <td>-8.38亿</td>\n",
+       "      <td>387.97亿</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>110</th>\n",
+       "      <td>1993-06-30</td>\n",
+       "      <td></td>\n",
+       "      <td>1.37亿</td>\n",
+       "      <td>2.66亿</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.37亿</td>\n",
+       "      <td>False</td>\n",
+       "      <td></td>\n",
+       "      <td>2.66亿</td>\n",
+       "      <td>2.66亿</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td></td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>111</th>\n",
+       "      <td>1992-12-31</td>\n",
+       "      <td></td>\n",
+       "      <td>1.72亿</td>\n",
+       "      <td>4.76亿</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.72亿</td>\n",
+       "      <td>False</td>\n",
+       "      <td></td>\n",
+       "      <td>4.76亿</td>\n",
+       "      <td>4.76亿</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td></td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>112</th>\n",
+       "      <td>1991-12-31</td>\n",
+       "      <td></td>\n",
+       "      <td>1.13亿</td>\n",
+       "      <td>3.35亿</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.13亿</td>\n",
+       "      <td>False</td>\n",
+       "      <td></td>\n",
+       "      <td>3.35亿</td>\n",
+       "      <td>3.35亿</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td></td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>113</th>\n",
+       "      <td>1990-12-31</td>\n",
+       "      <td></td>\n",
+       "      <td>7087.50万</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>7087.50万</td>\n",
+       "      <td>False</td>\n",
+       "      <td></td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td></td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>114</th>\n",
+       "      <td>1989-12-31</td>\n",
+       "      <td></td>\n",
+       "      <td>4302.00万</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>4302.00万</td>\n",
+       "      <td>False</td>\n",
+       "      <td></td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td></td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>115 rows × 43 columns</p>\n",
+       "</div>"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 21
   }
  ],
  "metadata": {
diff --git a/财报筛选/选股回测.ipynb b/财报筛选/选股回测.ipynb
new file mode 100644
index 0000000..cb2df0c
--- /dev/null
+++ b/财报筛选/选股回测.ipynb
@@ -0,0 +1,3854 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "id": "initial_id",
+   "metadata": {
+    "collapsed": true,
+    "ExecuteTime": {
+     "end_time": "2025-01-13T06:27:21.717853Z",
+     "start_time": "2025-01-13T06:27:21.714567Z"
+    }
+   },
+   "source": [
+    "import pandas as pd\n",
+    "import tushare as ts\n",
+    "\n",
+    "ts_pro = ts.pro_api(token=\"64ebff4fa679167600b905ee45dd88e76f3963c0ff39157f3f085f0e\")"
+   ],
+   "outputs": [],
+   "execution_count": 2
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-01-13T07:07:47.242076Z",
+     "start_time": "2025-01-13T07:07:46.498970Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "sse_df = ts_pro.trade_cal(exchange=\"SSE\")[[\"cal_date\", \"is_open\"]]\n",
+    "szse_df = ts_pro.trade_cal(exchange=\"SZSE\")[[\"cal_date\", \"is_open\"]]\n",
+    "merge_df = pd.merge(sse_df, szse_df, on=\"cal_date\", how=\"left\")\n",
+    "merge_df = merge_df.fillna(value=0)\n",
+    "merge_df[\"is_open\"] = (merge_df[\"is_open_x\"] + merge_df[\"is_open_y\"]) > 0\n",
+    "trade_date_df = merge_df[[\"cal_date\", \"is_open\"]]\n",
+    "trade_date_df"
+   ],
+   "id": "fe5b7f88c1739a13",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "       cal_date  is_open\n",
+       "0      20251231     True\n",
+       "1      20251230     True\n",
+       "2      20251229     True\n",
+       "3      20251228    False\n",
+       "4      20251227    False\n",
+       "...         ...      ...\n",
+       "12792  19901223    False\n",
+       "12793  19901222    False\n",
+       "12794  19901221     True\n",
+       "12795  19901220     True\n",
+       "12796  19901219     True\n",
+       "\n",
+       "[12797 rows x 2 columns]"
+      ],
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>cal_date</th>\n",
+       "      <th>is_open</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>20251231</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>20251230</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>20251229</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>20251228</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>20251227</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12792</th>\n",
+       "      <td>19901223</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12793</th>\n",
+       "      <td>19901222</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12794</th>\n",
+       "      <td>19901221</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12795</th>\n",
+       "      <td>19901220</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12796</th>\n",
+       "      <td>19901219</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>12797 rows × 2 columns</p>\n",
+       "</div>"
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 41
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "source": [
+    "import os\n",
+    "import time\n",
+    "\n",
+    "for year in range(1990, 2025):\n",
+    "    target_path = f\"../temp/stk_factor/{year}.csv\"\n",
+    "    # 判断target_path文件是否存在\n",
+    "    if os.path.exists(target_path):\n",
+    "        continue\n",
+    "    result_df = pd.DataFrame()\n",
+    "    for trade_date in trade_date_df[(trade_date_df[\"cal_date\"].str.startswith(f\"{year}\")) & trade_date_df[\"is_open\"]][\n",
+    "        \"cal_date\"].values:\n",
+    "        time.sleep(1)\n",
+    "        print(f\"{trade_date} downloading...\")\n",
+    "        stk_df = ts_pro.stk_factor(trade_date=trade_date)\n",
+    "        result_df = pd.concat([result_df, stk_df])\n",
+    "    result_df.sort_values(by=[\"trade_date\", \"ts_code\"], ascending=True, inplace=True)\n",
+    "    result_df.to_csv(f\"/Users/lanyuanxiaoyao/SynologyDrive/data/Tushare/日线行情/{year}.csv\", index=False)"
+   ],
+   "id": "bde839364048fb89",
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "19970106 downloading...\n",
+      "19970103 downloading...\n",
+      "19970102 downloading...\n",
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+    {
+     "ename": "KeyboardInterrupt",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
+      "\u001B[0;31mKeyboardInterrupt\u001B[0m                         Traceback (most recent call last)",
+      "Cell \u001B[0;32mIn[82], line 12\u001B[0m\n\u001B[1;32m      9\u001B[0m result_df \u001B[38;5;241m=\u001B[39m pd\u001B[38;5;241m.\u001B[39mDataFrame()\n\u001B[1;32m     10\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m trade_date \u001B[38;5;129;01min\u001B[39;00m trade_date_df[(trade_date_df[\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mcal_date\u001B[39m\u001B[38;5;124m\"\u001B[39m]\u001B[38;5;241m.\u001B[39mstr\u001B[38;5;241m.\u001B[39mstartswith(\u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;132;01m{\u001B[39;00myear\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m\"\u001B[39m)) \u001B[38;5;241m&\u001B[39m trade_date_df[\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mis_open\u001B[39m\u001B[38;5;124m\"\u001B[39m]][\n\u001B[1;32m     11\u001B[0m     \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mcal_date\u001B[39m\u001B[38;5;124m\"\u001B[39m]\u001B[38;5;241m.\u001B[39mvalues:\n\u001B[0;32m---> 12\u001B[0m     \u001B[43mtime\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43msleep\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;241;43m1\u001B[39;49m\u001B[43m)\u001B[49m\n\u001B[1;32m     13\u001B[0m     \u001B[38;5;28mprint\u001B[39m(\u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;132;01m{\u001B[39;00mtrade_date\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m downloading...\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n\u001B[1;32m     14\u001B[0m     stk_df \u001B[38;5;241m=\u001B[39m ts_pro\u001B[38;5;241m.\u001B[39mstk_factor(trade_date\u001B[38;5;241m=\u001B[39mtrade_date)\n",
+      "\u001B[0;31mKeyboardInterrupt\u001B[0m: "
+     ]
+    }
+   ],
+   "execution_count": 82
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
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+    "name": "ipython",
+    "version": 2
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+}