From b90d030899e435f1da26a202e65ab8d060f9acb1 Mon Sep 17 00:00:00 2001
From: lanyuanxiaoyao <lanyuanxiaoyao@gmail.com>
Date: Thu, 29 Jan 2026 18:10:40 +0800
Subject: [PATCH] =?UTF-8?q?=E5=B0=9D=E8=AF=95=E5=8A=A0=E8=BD=BD=E6=95=B0?=
 =?UTF-8?q?=E6=8D=AE?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 .idea/csv-editor.xml               |  16 +++
 .idea/dataSources.xml              |   7 +
 .idea/sqldialects.xml              |   1 +
 .idea/vcs.xml                      |   1 -
 notebook/datasource/data_old.ipynb | 138 ++++++++++++++++++
 notebook/indicator.ipynb           | 101 ++++----------
 pyproject.toml                     |   2 +
 sql/initial.sql                    |  92 ++++++++++++
 uv.lock                            | 216 +++++++++++++++++++++++++++++
 9 files changed, 499 insertions(+), 75 deletions(-)
 create mode 100644 .idea/csv-editor.xml
 create mode 100644 notebook/datasource/data_old.ipynb
 create mode 100644 sql/initial.sql

diff --git a/.idea/csv-editor.xml b/.idea/csv-editor.xml
new file mode 100644
index 0000000..af8e228
--- /dev/null
+++ b/.idea/csv-editor.xml
@@ -0,0 +1,16 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="CsvFileAttributes">
+    <option name="attributeMap">
+      <map>
+        <entry key="/dumpDataPreview">
+          <value>
+            <Attribute>
+              <option name="separator" value="," />
+            </Attribute>
+          </value>
+        </entry>
+      </map>
+    </option>
+  </component>
+</project>
\ No newline at end of file
diff --git a/.idea/dataSources.xml b/.idea/dataSources.xml
index 340aca5..72cde34 100644
--- a/.idea/dataSources.xml
+++ b/.idea/dataSources.xml
@@ -8,5 +8,12 @@
       <jdbc-url>jdbc:postgresql://81.71.3.24:6785/leopard_dev</jdbc-url>
       <working-dir>$ProjectFileDir$</working-dir>
     </data-source>
+    <data-source source="LOCAL" name="leopard.sqlite" uuid="c9e16f8e-81be-45cf-847c-47a6750eeee2">
+      <driver-ref>sqlite.xerial</driver-ref>
+      <synchronize>true</synchronize>
+      <jdbc-driver>org.sqlite.JDBC</jdbc-driver>
+      <jdbc-url>jdbc:sqlite:$USER_HOME$/Documents/leopard_data/leopard.sqlite</jdbc-url>
+      <working-dir>$ProjectFileDir$</working-dir>
+    </data-source>
   </component>
 </project>
\ No newline at end of file
diff --git a/.idea/sqldialects.xml b/.idea/sqldialects.xml
index 6df4889..6b6d503 100644
--- a/.idea/sqldialects.xml
+++ b/.idea/sqldialects.xml
@@ -1,6 +1,7 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <project version="4">
   <component name="SqlDialectMappings">
+    <file url="file://$PROJECT_DIR$/sql/initial.sql" dialect="SQLite" />
     <file url="PROJECT" dialect="PostgreSQL" />
   </component>
 </project>
\ No newline at end of file
diff --git a/.idea/vcs.xml b/.idea/vcs.xml
index bc9452c..94a25f7 100644
--- a/.idea/vcs.xml
+++ b/.idea/vcs.xml
@@ -2,6 +2,5 @@
 <project version="4">
   <component name="VcsDirectoryMappings">
     <mapping directory="$PROJECT_DIR$" vcs="Git" />
-    <mapping directory="$PROJECT_DIR$/backtestingpy" vcs="Git" />
   </component>
 </project>
\ No newline at end of file
diff --git a/notebook/datasource/data_old.ipynb b/notebook/datasource/data_old.ipynb
new file mode 100644
index 0000000..0c8dad1
--- /dev/null
+++ b/notebook/datasource/data_old.ipynb
@@ -0,0 +1,138 @@
+{
+ "cells": [
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2026-01-29T10:09:22.171634Z",
+     "start_time": "2026-01-29T08:27:03.148937Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "import urllib.parse\n",
+    "\n",
+    "import pandas as pd\n",
+    "import sqlalchemy\n",
+    "from sqlalchemy.orm import DeclarativeBase, Session\n",
+    "\n",
+    "postgresql_engin = sqlalchemy.create_engine(\n",
+    "    f\"postgresql://leopard:{urllib.parse.quote_plus(\"9NEzFzovnddf@PyEP?e*AYAWnCyd7UhYwQK$pJf>7?ccFiN^x4$eKEZ5~E<7<+~X\")}@81.71.3.24:6785/leopard\"\n",
+    ")\n",
+    "sqlite_engine = sqlalchemy.create_engine(f\"sqlite:////Users/lanyuanxiaoyao/Documents/leopard_data/leopard.sqlite\")\n",
+    "\n",
+    "\n",
+    "class Base(DeclarativeBase):\n",
+    "    pass\n",
+    "\n",
+    "\n",
+    "class Daily(Base):\n",
+    "    __tablename__ = 'daily'\n",
+    "\n",
+    "    code = sqlalchemy.Column(sqlalchemy.String, primary_key=True)\n",
+    "    trade_date = sqlalchemy.Column(sqlalchemy.Date)\n",
+    "    open = sqlalchemy.Column(sqlalchemy.Double)\n",
+    "    close = sqlalchemy.Column(sqlalchemy.Double)\n",
+    "    high = sqlalchemy.Column(sqlalchemy.Double)\n",
+    "    low = sqlalchemy.Column(sqlalchemy.Double)\n",
+    "    previous_close = sqlalchemy.Column(sqlalchemy.Double)\n",
+    "    turnover = sqlalchemy.Column(sqlalchemy.Double)\n",
+    "    volume = sqlalchemy.Column(sqlalchemy.Integer)\n",
+    "    price_change_amount = sqlalchemy.Column(sqlalchemy.Double)\n",
+    "    factor = sqlalchemy.Column(sqlalchemy.Double)\n",
+    "\n",
+    "\n",
+    "try:\n",
+    "    stock_df = pd.read_sql_table(\"stock\", sqlite_engine)\n",
+    "    for index, code in enumerate(stock_df[\"code\"]):\n",
+    "        print(code)\n",
+    "        daily_df = pd.read_sql(\n",
+    "            f\"\"\"\n",
+    "               select code,\n",
+    "                      trade_date,\n",
+    "                      open,\n",
+    "                      close,\n",
+    "                      high,\n",
+    "                      low,\n",
+    "                      previous_close,\n",
+    "                      turnover,\n",
+    "                      volume,\n",
+    "                      price_change_amount,\n",
+    "                      factor\n",
+    "               from leopard_daily d\n",
+    "                        left join leopard_stock s on d.stock_id = s.id\n",
+    "               where s.code = '{code}'\n",
+    "           \"\"\",\n",
+    "            postgresql_engin\n",
+    "        )\n",
+    "        with Session(sqlite_engine) as session:\n",
+    "            for _, row in daily_df.iterrows():\n",
+    "                session.add(\n",
+    "                    Daily(\n",
+    "                        code=row[\"code\"],\n",
+    "                        trade_date=row[\"trade_date\"],\n",
+    "                        open=row[\"open\"],\n",
+    "                        close=row[\"close\"],\n",
+    "                        high=row[\"high\"],\n",
+    "                        low=row[\"low\"],\n",
+    "                        previous_close=row[\"previous_close\"],\n",
+    "                        turnover=row[\"turnover\"],\n",
+    "                        volume=row[\"volume\"],\n",
+    "                        price_change_amount=row[\"price_change_amount\"],\n",
+    "                        factor=row[\"factor\"]\n",
+    "                    )\n",
+    "                )\n",
+    "            session.flush()\n",
+    "            session.commit()\n",
+    "finally:\n",
+    "    postgresql_engin.dispose()\n",
+    "    sqlite_engine.dispose()"
+   ],
+   "id": "48821306efc640a1",
+   "outputs": [
+    {
+     "ename": "KeyboardInterrupt",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001B[31m---------------------------------------------------------------------------\u001B[39m",
+      "\u001B[31mKeyboardInterrupt\u001B[39m                         Traceback (most recent call last)",
+      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[26]\u001B[39m\u001B[32m, line 37\u001B[39m\n\u001B[32m     35\u001B[39m \u001B[38;5;28;01mfor\u001B[39;00m index, code \u001B[38;5;129;01min\u001B[39;00m \u001B[38;5;28menumerate\u001B[39m(stock_df[\u001B[33m\"\u001B[39m\u001B[33mcode\u001B[39m\u001B[33m\"\u001B[39m]):\n\u001B[32m     36\u001B[39m     \u001B[38;5;28mprint\u001B[39m(code)\n\u001B[32m---> \u001B[39m\u001B[32m37\u001B[39m     daily_df = \u001B[43mpd\u001B[49m\u001B[43m.\u001B[49m\u001B[43mread_sql\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m     38\u001B[39m \u001B[43m        \u001B[49m\u001B[33;43mf\u001B[39;49m\u001B[33;43m\"\"\"\u001B[39;49m\n\u001B[32m     39\u001B[39m \u001B[33;43m           select code,\u001B[39;49m\n\u001B[32m     40\u001B[39m \u001B[33;43m                  trade_date,\u001B[39;49m\n\u001B[32m     41\u001B[39m \u001B[33;43m                  open,\u001B[39;49m\n\u001B[32m     42\u001B[39m \u001B[33;43m                  close,\u001B[39;49m\n\u001B[32m     43\u001B[39m \u001B[33;43m                  high,\u001B[39;49m\n\u001B[32m     44\u001B[39m \u001B[33;43m                  low,\u001B[39;49m\n\u001B[32m     45\u001B[39m \u001B[33;43m                  previous_close,\u001B[39;49m\n\u001B[32m     46\u001B[39m \u001B[33;43m                  turnover,\u001B[39;49m\n\u001B[32m     47\u001B[39m \u001B[33;43m                  volume,\u001B[39;49m\n\u001B[32m     48\u001B[39m \u001B[33;43m                  price_change_amount,\u001B[39;49m\n\u001B[32m     49\u001B[39m \u001B[33;43m                  factor\u001B[39;49m\n\u001B[32m     50\u001B[39m \u001B[33;43m           from leopard_daily d\u001B[39;49m\n\u001B[32m     51\u001B[39m \u001B[33;43m                    left join leopard_stock s on d.stock_id = s.id\u001B[39;49m\n\u001B[32m     52\u001B[39m \u001B[33;43m           where s.code = \u001B[39;49m\u001B[33;43m'\u001B[39;49m\u001B[38;5;132;43;01m{\u001B[39;49;00m\u001B[43mcode\u001B[49m\u001B[38;5;132;43;01m}\u001B[39;49;00m\u001B[33;43m'\u001B[39;49m\n\u001B[32m     53\u001B[39m \u001B[33;43m       \u001B[39;49m\u001B[33;43m\"\"\"\u001B[39;49m\u001B[43m,\u001B[49m\n\u001B[32m     54\u001B[39m \u001B[43m        \u001B[49m\u001B[43mpostgresql_engin\u001B[49m\n\u001B[32m     55\u001B[39m \u001B[43m    \u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m     56\u001B[39m     \u001B[38;5;28;01mwith\u001B[39;00m Session(sqlite_engine) \u001B[38;5;28;01mas\u001B[39;00m session:\n\u001B[32m     57\u001B[39m         \u001B[38;5;28;01mfor\u001B[39;00m _, row \u001B[38;5;129;01min\u001B[39;00m daily_df.iterrows():\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/Project/leopard_analysis/.venv/lib/python3.14/site-packages/pandas/io/sql.py:736\u001B[39m, in \u001B[36mread_sql\u001B[39m\u001B[34m(sql, con, index_col, coerce_float, params, parse_dates, columns, chunksize, dtype_backend, dtype)\u001B[39m\n\u001B[32m    726\u001B[39m     \u001B[38;5;28;01mreturn\u001B[39;00m pandas_sql.read_table(\n\u001B[32m    727\u001B[39m         sql,\n\u001B[32m    728\u001B[39m         index_col=index_col,\n\u001B[32m   (...)\u001B[39m\u001B[32m    733\u001B[39m         dtype_backend=dtype_backend,\n\u001B[32m    734\u001B[39m     )\n\u001B[32m    735\u001B[39m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[32m--> \u001B[39m\u001B[32m736\u001B[39m     \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mpandas_sql\u001B[49m\u001B[43m.\u001B[49m\u001B[43mread_query\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m    737\u001B[39m \u001B[43m        \u001B[49m\u001B[43msql\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m    738\u001B[39m \u001B[43m        \u001B[49m\u001B[43mindex_col\u001B[49m\u001B[43m=\u001B[49m\u001B[43mindex_col\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m    739\u001B[39m \u001B[43m        \u001B[49m\u001B[43mparams\u001B[49m\u001B[43m=\u001B[49m\u001B[43mparams\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m    740\u001B[39m \u001B[43m        \u001B[49m\u001B[43mcoerce_float\u001B[49m\u001B[43m=\u001B[49m\u001B[43mcoerce_float\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m    741\u001B[39m \u001B[43m        \u001B[49m\u001B[43mparse_dates\u001B[49m\u001B[43m=\u001B[49m\u001B[43mparse_dates\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m    742\u001B[39m \u001B[43m        \u001B[49m\u001B[43mchunksize\u001B[49m\u001B[43m=\u001B[49m\u001B[43mchunksize\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m    743\u001B[39m \u001B[43m        \u001B[49m\u001B[43mdtype_backend\u001B[49m\u001B[43m=\u001B[49m\u001B[43mdtype_backend\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m    744\u001B[39m \u001B[43m        \u001B[49m\u001B[43mdtype\u001B[49m\u001B[43m=\u001B[49m\u001B[43mdtype\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m    745\u001B[39m \u001B[43m    \u001B[49m\u001B[43m)\u001B[49m\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/Project/leopard_analysis/.venv/lib/python3.14/site-packages/pandas/io/sql.py:1848\u001B[39m, in \u001B[36mSQLDatabase.read_query\u001B[39m\u001B[34m(self, sql, index_col, coerce_float, parse_dates, params, chunksize, dtype, dtype_backend)\u001B[39m\n\u001B[32m   1791\u001B[39m \u001B[38;5;28;01mdef\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34mread_query\u001B[39m(\n\u001B[32m   1792\u001B[39m     \u001B[38;5;28mself\u001B[39m,\n\u001B[32m   1793\u001B[39m     sql: \u001B[38;5;28mstr\u001B[39m,\n\u001B[32m   (...)\u001B[39m\u001B[32m   1800\u001B[39m     dtype_backend: DtypeBackend | Literal[\u001B[33m\"\u001B[39m\u001B[33mnumpy\u001B[39m\u001B[33m\"\u001B[39m] = \u001B[33m\"\u001B[39m\u001B[33mnumpy\u001B[39m\u001B[33m\"\u001B[39m,\n\u001B[32m   1801\u001B[39m ) -> DataFrame | Iterator[DataFrame]:\n\u001B[32m   1802\u001B[39m \u001B[38;5;250m    \u001B[39m\u001B[33;03m\"\"\"\u001B[39;00m\n\u001B[32m   1803\u001B[39m \u001B[33;03m    Read SQL query into a DataFrame.\u001B[39;00m\n\u001B[32m   1804\u001B[39m \n\u001B[32m   (...)\u001B[39m\u001B[32m   1846\u001B[39m \n\u001B[32m   1847\u001B[39m \u001B[33;03m    \"\"\"\u001B[39;00m\n\u001B[32m-> \u001B[39m\u001B[32m1848\u001B[39m     result = \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mexecute\u001B[49m\u001B[43m(\u001B[49m\u001B[43msql\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mparams\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m   1849\u001B[39m     columns = result.keys()\n\u001B[32m   1851\u001B[39m     \u001B[38;5;28;01mif\u001B[39;00m chunksize \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/Project/leopard_analysis/.venv/lib/python3.14/site-packages/pandas/io/sql.py:1671\u001B[39m, in \u001B[36mSQLDatabase.execute\u001B[39m\u001B[34m(self, sql, params)\u001B[39m\n\u001B[32m   1669\u001B[39m args = [] \u001B[38;5;28;01mif\u001B[39;00m params \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m \u001B[38;5;28;01melse\u001B[39;00m [params]\n\u001B[32m   1670\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(sql, \u001B[38;5;28mstr\u001B[39m):\n\u001B[32m-> \u001B[39m\u001B[32m1671\u001B[39m     \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mcon\u001B[49m\u001B[43m.\u001B[49m\u001B[43mexec_driver_sql\u001B[49m\u001B[43m(\u001B[49m\u001B[43msql\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43margs\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m   1672\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mself\u001B[39m.con.execute(sql, *args)\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/Project/leopard_analysis/.venv/lib/python3.14/site-packages/sqlalchemy/engine/base.py:1779\u001B[39m, in \u001B[36mConnection.exec_driver_sql\u001B[39m\u001B[34m(self, statement, parameters, execution_options)\u001B[39m\n\u001B[32m   1774\u001B[39m execution_options = \u001B[38;5;28mself\u001B[39m._execution_options.merge_with(\n\u001B[32m   1775\u001B[39m     execution_options\n\u001B[32m   1776\u001B[39m )\n\u001B[32m   1778\u001B[39m dialect = \u001B[38;5;28mself\u001B[39m.dialect\n\u001B[32m-> \u001B[39m\u001B[32m1779\u001B[39m ret = \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43m_execute_context\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m   1780\u001B[39m \u001B[43m    \u001B[49m\u001B[43mdialect\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m   1781\u001B[39m \u001B[43m    \u001B[49m\u001B[43mdialect\u001B[49m\u001B[43m.\u001B[49m\u001B[43mexecution_ctx_cls\u001B[49m\u001B[43m.\u001B[49m\u001B[43m_init_statement\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m   1782\u001B[39m \u001B[43m    \u001B[49m\u001B[43mstatement\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m   1783\u001B[39m \u001B[43m    \u001B[49m\u001B[38;5;28;43;01mNone\u001B[39;49;00m\u001B[43m,\u001B[49m\n\u001B[32m   1784\u001B[39m \u001B[43m    \u001B[49m\u001B[43mexecution_options\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m   1785\u001B[39m \u001B[43m    \u001B[49m\u001B[43mstatement\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m   1786\u001B[39m \u001B[43m    \u001B[49m\u001B[43mdistilled_parameters\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m   1787\u001B[39m \u001B[43m\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m   1789\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m ret\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/Project/leopard_analysis/.venv/lib/python3.14/site-packages/sqlalchemy/engine/base.py:1846\u001B[39m, in \u001B[36mConnection._execute_context\u001B[39m\u001B[34m(self, dialect, constructor, statement, parameters, execution_options, *args, **kw)\u001B[39m\n\u001B[32m   1844\u001B[39m     \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mself\u001B[39m._exec_insertmany_context(dialect, context)\n\u001B[32m   1845\u001B[39m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[32m-> \u001B[39m\u001B[32m1846\u001B[39m     \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43m_exec_single_context\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m   1847\u001B[39m \u001B[43m        \u001B[49m\u001B[43mdialect\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mcontext\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mstatement\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mparameters\u001B[49m\n\u001B[32m   1848\u001B[39m \u001B[43m    \u001B[49m\u001B[43m)\u001B[49m\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/Project/leopard_analysis/.venv/lib/python3.14/site-packages/sqlalchemy/engine/base.py:1986\u001B[39m, in \u001B[36mConnection._exec_single_context\u001B[39m\u001B[34m(self, dialect, context, statement, parameters)\u001B[39m\n\u001B[32m   1983\u001B[39m     result = context._setup_result_proxy()\n\u001B[32m   1985\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mBaseException\u001B[39;00m \u001B[38;5;28;01mas\u001B[39;00m e:\n\u001B[32m-> \u001B[39m\u001B[32m1986\u001B[39m     \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43m_handle_dbapi_exception\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m   1987\u001B[39m \u001B[43m        \u001B[49m\u001B[43me\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mstr_statement\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43meffective_parameters\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mcursor\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mcontext\u001B[49m\n\u001B[32m   1988\u001B[39m \u001B[43m    \u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m   1990\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m result\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/Project/leopard_analysis/.venv/lib/python3.14/site-packages/sqlalchemy/engine/base.py:2366\u001B[39m, in \u001B[36mConnection._handle_dbapi_exception\u001B[39m\u001B[34m(self, e, statement, parameters, cursor, context, is_sub_exec)\u001B[39m\n\u001B[32m   2364\u001B[39m     \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[32m   2365\u001B[39m         \u001B[38;5;28;01massert\u001B[39;00m exc_info[\u001B[32m1\u001B[39m] \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m\n\u001B[32m-> \u001B[39m\u001B[32m2366\u001B[39m         \u001B[38;5;28;01mraise\u001B[39;00m exc_info[\u001B[32m1\u001B[39m].with_traceback(exc_info[\u001B[32m2\u001B[39m])\n\u001B[32m   2367\u001B[39m \u001B[38;5;28;01mfinally\u001B[39;00m:\n\u001B[32m   2368\u001B[39m     \u001B[38;5;28;01mdel\u001B[39;00m \u001B[38;5;28mself\u001B[39m._reentrant_error\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/Project/leopard_analysis/.venv/lib/python3.14/site-packages/sqlalchemy/engine/base.py:1967\u001B[39m, in \u001B[36mConnection._exec_single_context\u001B[39m\u001B[34m(self, dialect, context, statement, parameters)\u001B[39m\n\u001B[32m   1965\u001B[39m                 \u001B[38;5;28;01mbreak\u001B[39;00m\n\u001B[32m   1966\u001B[39m     \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m evt_handled:\n\u001B[32m-> \u001B[39m\u001B[32m1967\u001B[39m         \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mdialect\u001B[49m\u001B[43m.\u001B[49m\u001B[43mdo_execute\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m   1968\u001B[39m \u001B[43m            \u001B[49m\u001B[43mcursor\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mstr_statement\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43meffective_parameters\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mcontext\u001B[49m\n\u001B[32m   1969\u001B[39m \u001B[43m        \u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m   1971\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mself\u001B[39m._has_events \u001B[38;5;129;01mor\u001B[39;00m \u001B[38;5;28mself\u001B[39m.engine._has_events:\n\u001B[32m   1972\u001B[39m     \u001B[38;5;28mself\u001B[39m.dispatch.after_cursor_execute(\n\u001B[32m   1973\u001B[39m         \u001B[38;5;28mself\u001B[39m,\n\u001B[32m   1974\u001B[39m         cursor,\n\u001B[32m   (...)\u001B[39m\u001B[32m   1978\u001B[39m         context.executemany,\n\u001B[32m   1979\u001B[39m     )\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/Project/leopard_analysis/.venv/lib/python3.14/site-packages/sqlalchemy/engine/default.py:952\u001B[39m, in \u001B[36mDefaultDialect.do_execute\u001B[39m\u001B[34m(self, cursor, statement, parameters, context)\u001B[39m\n\u001B[32m    951\u001B[39m \u001B[38;5;28;01mdef\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34mdo_execute\u001B[39m(\u001B[38;5;28mself\u001B[39m, cursor, statement, parameters, context=\u001B[38;5;28;01mNone\u001B[39;00m):\n\u001B[32m--> \u001B[39m\u001B[32m952\u001B[39m     \u001B[43mcursor\u001B[49m\u001B[43m.\u001B[49m\u001B[43mexecute\u001B[49m\u001B[43m(\u001B[49m\u001B[43mstatement\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mparameters\u001B[49m\u001B[43m)\u001B[49m\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/.local/share/uv/python/cpython-3.14.2-macos-x86_64-none/lib/python3.14/encodings/utf_8.py:15\u001B[39m, in \u001B[36mdecode\u001B[39m\u001B[34m(input, errors)\u001B[39m\n\u001B[32m     11\u001B[39m \u001B[38;5;66;03m### Codec APIs\u001B[39;00m\n\u001B[32m     13\u001B[39m encode = codecs.utf_8_encode\n\u001B[32m---> \u001B[39m\u001B[32m15\u001B[39m \u001B[38;5;28;01mdef\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34mdecode\u001B[39m(\u001B[38;5;28minput\u001B[39m, errors=\u001B[33m'\u001B[39m\u001B[33mstrict\u001B[39m\u001B[33m'\u001B[39m):\n\u001B[32m     16\u001B[39m     \u001B[38;5;28;01mreturn\u001B[39;00m codecs.utf_8_decode(\u001B[38;5;28minput\u001B[39m, errors, \u001B[38;5;28;01mTrue\u001B[39;00m)\n\u001B[32m     18\u001B[39m \u001B[38;5;28;01mclass\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mIncrementalEncoder\u001B[39;00m(codecs.IncrementalEncoder):\n",
+      "\u001B[31mKeyboardInterrupt\u001B[39m: "
+     ]
+    }
+   ],
+   "execution_count": 26
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebook/indicator.ipynb b/notebook/indicator.ipynb
index 52e21c2..1c89c85 100644
--- a/notebook/indicator.ipynb
+++ b/notebook/indicator.ipynb
@@ -7,8 +7,8 @@
      "variableName$1": "dailies_df"
     },
     "ExecuteTime": {
-     "end_time": "2026-01-29T02:33:37.960810Z",
-     "start_time": "2026-01-29T02:33:24.206860Z"
+     "end_time": "2026-01-29T08:42:31.684564Z",
+     "start_time": "2026-01-29T08:42:08.250081Z"
     }
    },
    "cell_type": "code",
@@ -199,18 +199,18 @@
        "</div>"
       ]
      },
-     "execution_count": 1,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 1
+   "execution_count": 20
   },
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2026-01-29T02:33:38.731788Z",
-     "start_time": "2026-01-29T02:33:38.062150Z"
+     "end_time": "2026-01-29T06:34:22.043428Z",
+     "start_time": "2026-01-29T06:34:21.908166Z"
     }
    },
    "cell_type": "code",
@@ -398,18 +398,18 @@
        "</div>"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 2
+   "execution_count": 13
   },
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2026-01-29T02:33:39.810533Z",
-     "start_time": "2026-01-29T02:33:39.416568Z"
+     "end_time": "2026-01-29T06:34:22.351995Z",
+     "start_time": "2026-01-29T06:34:22.270778Z"
     }
    },
    "cell_type": "code",
@@ -697,18 +697,18 @@
        "</div>"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 3
+   "execution_count": 14
   },
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2026-01-29T02:33:42.597061Z",
-     "start_time": "2026-01-29T02:33:40.380307Z"
+     "end_time": "2026-01-29T06:34:23.618483Z",
+     "start_time": "2026-01-29T06:34:23.072725Z"
     }
    },
    "cell_type": "code",
@@ -748,13 +748,13 @@
      }
     }
    ],
-   "execution_count": 4
+   "execution_count": 15
   },
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2026-01-29T02:33:42.780271Z",
-     "start_time": "2026-01-29T02:33:42.768861Z"
+     "end_time": "2026-01-29T06:34:23.669108Z",
+     "start_time": "2026-01-29T06:34:23.658807Z"
     }
    },
    "cell_type": "code",
@@ -765,13 +765,13 @@
    ],
    "id": "29759a1d33476c0f",
    "outputs": [],
-   "execution_count": 5
+   "execution_count": 16
   },
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2026-01-29T02:33:42.923721Z",
-     "start_time": "2026-01-29T02:33:42.839479Z"
+     "end_time": "2026-01-29T06:34:23.705523Z",
+     "start_time": "2026-01-29T06:34:23.670411Z"
     }
    },
    "cell_type": "code",
@@ -1039,12 +1039,12 @@
        "</div>"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 6
+   "execution_count": 17
   },
   {
    "metadata": {
@@ -1052,8 +1052,8 @@
      "dailies_chart"
     ],
     "ExecuteTime": {
-     "end_time": "2026-01-29T02:40:03.594219Z",
-     "start_time": "2026-01-29T02:40:03.137486Z"
+     "end_time": "2026-01-29T06:34:24.099692Z",
+     "start_time": "2026-01-29T06:34:23.762377Z"
     }
    },
    "cell_type": "code",
@@ -1120,59 +1120,12 @@
    "outputs": [
     {
      "data": {
-      "text/html": [
-       "    <style>\n",
-       "        .bk-notebook-logo {\n",
-       "            display: block;\n",
-       "            width: 20px;\n",
-       "            height: 20px;\n",
-       "            background-image: url(data:image/png;base64,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);\n",
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-       "    <div>\n",
-       "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-notebook-logo\"></a>\n",
-       "        <span id=\"f9ed2936-dd2c-4caa-ab15-7563ec286bd4\">Loading BokehJS ...</span>\n",
-       "    </div>\n"
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-      "application/javascript": "'use strict';\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\nconst JS_MIME_TYPE = 'application/javascript';\n  const HTML_MIME_TYPE = 'text/html';\n  const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n  const CLASS_NAME = 'output_bokeh rendered_html';\n\n  /**\n   * Render data to the DOM node\n   */\n  function render(props, node) {\n    const script = document.createElement(\"script\");\n    node.appendChild(script);\n  }\n\n  /**\n   * Handle when an output is cleared or removed\n   */\n  function handleClearOutput(event, handle) {\n    function drop(id) {\n      const view = Bokeh.index.get_by_id(id)\n      if (view != null) {\n        view.model.document.clear()\n        Bokeh.index.delete(view)\n      }\n    }\n\n    const cell = handle.cell;\n\n    const id = cell.output_area._bokeh_element_id;\n    const server_id = cell.output_area._bokeh_server_id;\n\n    // Clean up Bokeh references\n    if (id != null) {\n      drop(id)\n    }\n\n    if (server_id !== undefined) {\n      // Clean up Bokeh references\n      const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n      cell.notebook.kernel.execute(cmd_clean, {\n        iopub: {\n          output: function(msg) {\n            const id = msg.content.text.trim()\n            drop(id)\n          }\n        }\n      });\n      // Destroy server and session\n      const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n      cell.notebook.kernel.execute(cmd_destroy);\n    }\n  }\n\n  /**\n   * Handle when a new output is added\n   */\n  function handleAddOutput(event, handle) {\n    const output_area = handle.output_area;\n    const output = handle.output;\n\n    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n    if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n      return\n    }\n\n    const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n\n    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n      // store reference to embed id on output_area\n      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n    }\n    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n      const bk_div = document.createElement(\"div\");\n      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n      const script_attrs = bk_div.children[0].attributes;\n      for (let i = 0; i < script_attrs.length; i++) {\n        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n        toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n      }\n      // store reference to server id on output_area\n      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n    }\n  }\n\n  function register_renderer(events, OutputArea) {\n\n    function append_mime(data, metadata, element) {\n      // create a DOM node to render to\n      const toinsert = this.create_output_subarea(\n        metadata,\n        CLASS_NAME,\n        EXEC_MIME_TYPE\n      );\n      this.keyboard_manager.register_events(toinsert);\n      // Render to node\n      const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n      render(props, toinsert[toinsert.length - 1]);\n      element.append(toinsert);\n      return toinsert\n    }\n\n    /* Handle when an output is cleared or removed */\n    events.on('clear_output.CodeCell', handleClearOutput);\n    events.on('delete.Cell', handleClearOutput);\n\n    /* Handle when a new output is added */\n    events.on('output_added.OutputArea', handleAddOutput);\n\n    /**\n     * Register the mime type and append_mime function with output_area\n     */\n    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n      /* Is output safe? */\n      safe: true,\n      /* Index of renderer in `output_area.display_order` */\n      index: 0\n    });\n  }\n\n  // register the mime type if in Jupyter Notebook environment and previously unregistered\n  if (root.Jupyter !== undefined) {\n    const events = require('base/js/events');\n    const OutputArea = require('notebook/js/outputarea').OutputArea;\n\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  }\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(\"f9ed2936-dd2c-4caa-ab15-7563ec286bd4\");\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.8.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.8.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.8.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.8.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.8.2.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {display_loaded(error);throw error;\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"f9ed2936-dd2c-4caa-ab15-7563ec286bd4\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));",
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Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(\"f9ed2936-dd2c-4caa-ab15-7563ec286bd4\");\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.8.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.8.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.8.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.8.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.8.2.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {display_loaded(error);throw error;\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"f9ed2936-dd2c-4caa-ab15-7563ec286bd4\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
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object\",\"name\":\"CDSView\",\"id\":\"p1831\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p1832\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"VBar\",\"id\":\"p1827\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"x\"},\"width\":{\"type\":\"value\",\"value\":0.6},\"top\":{\"type\":\"field\",\"field\":\"top\"},\"line_color\":{\"type\":\"value\",\"value\":\"darkgray\"},\"fill_color\":{\"type\":\"value\",\"value\":\"darkgray\"},\"hatch_color\":{\"type\":\"value\",\"value\":\"darkgray\"}}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"VBar\",\"id\":\"p1828\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"x\"},\"width\":{\"type\":\"value\",\"value\":0.6},\"top\":{\"type\":\"field\",\"field\":\"top\"},\"line_color\":{\"type\":\"value\",\"value\":\"darkgray\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.1},\"fill_color\":{\"type\":\"value\",\"value\":\"darkgray\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.1},\"hatch_color\":{\"type\":\"value\",\"value\":\"darkgray\"},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.1}}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"VBar\",\"id\":\"p1829\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"x\"},\"width\":{\"type\":\"value\",\"value\":0.6},\"top\":{\"type\":\"field\",\"field\":\"top\"},\"line_color\":{\"type\":\"value\",\"value\":\"darkgray\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.2},\"fill_color\":{\"type\":\"value\",\"value\":\"darkgray\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.2},\"hatch_color\":{\"type\":\"value\",\"value\":\"darkgray\"},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.2}}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p1773\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p1786\"},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p1787\",\"attributes\":{\"renderers\":\"auto\"}},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p1788\",\"attributes\":{\"dimensions\":\"both\",\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p1789\",\"attributes\":{\"syncable\":false,\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"handles\":{\"type\":\"object\",\"name\":\"BoxInteractionHandles\",\"id\":\"p1795\",\"attributes\":{\"all\":{\"type\":\"object\",\"name\":\"AreaVisuals\",\"id\":\"p1794\",\"attributes\":{\"fill_color\":\"white\",\"hover_fill_color\":\"lightgray\"}}}}}}}},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1796\"}]}},\"left\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1781\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1782\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1783\"},\"axis_label_standoff\":10,\"axis_label_text_color\":\"#5B5B5B\",\"axis_label_text_font\":\"Helvetica\",\"axis_label_text_font_size\":\"1.25em\",\"axis_label_text_font_style\":\"normal\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1784\"},\"major_label_text_color\":\"#5B5B5B\",\"major_label_text_font\":\"Helvetica\",\"major_label_text_font_size\":\"1.025em\",\"axis_line_color\":\"#5B5B5B\",\"axis_line_alpha\":0,\"major_tick_line_color\":\"#5B5B5B\",\"major_tick_line_alpha\":0,\"minor_tick_line_color\":\"#5B5B5B\",\"minor_tick_line_alpha\":0}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1776\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1777\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1778\"},\"axis_label_standoff\":10,\"axis_label_text_color\":\"#5B5B5B\",\"axis_label_text_font\":\"Helvetica\",\"axis_label_text_font_size\":\"1.25em\",\"axis_label_text_font_style\":\"normal\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1779\"},\"major_label_text_color\":\"#5B5B5B\",\"major_label_text_font\":\"Helvetica\",\"major_label_text_font_size\":\"1.025em\",\"axis_line_color\":\"#5B5B5B\",\"axis_line_alpha\":0,\"major_tick_line_color\":\"#5B5B5B\",\"major_tick_line_alpha\":0,\"minor_tick_line_color\":\"#5B5B5B\",\"minor_tick_line_alpha\":0}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1780\",\"attributes\":{\"axis\":{\"id\":\"p1776\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1785\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1781\"}}}]}}]}}]}};\n  const render_items = [{\"docid\":\"d9bd6441-530e-4d45-bd06-ca2a5f61c54b\",\"roots\":{\"p1833\":\"ddd0f440-b85b-45ef-80b5-c268ec463920\"},\"root_ids\":[\"p1833\"]}];\n  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n  }\n  if (root.Bokeh !== undefined) {\n    embed_document(root);\n  } else {\n    let attempts = 0;\n    const timer = setInterval(function(root) {\n      if (root.Bokeh !== undefined) {\n        clearInterval(timer);\n        embed_document(root);\n      } else {\n        attempts++;\n        if (attempts > 100) {\n          clearInterval(timer);\n          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n        }\n      }\n    }, 10, root)\n  }\n})(window);",
       "application/vnd.bokehjs_exec.v0+json": ""
      },
      "metadata": {
       "application/vnd.bokehjs_exec.v0+json": {
-       "id": "p1449"
+       "id": "p1833"
       }
      },
      "output_type": "display_data",
@@ -1181,7 +1134,7 @@
      }
     }
    ],
-   "execution_count": 9
+   "execution_count": 18
   }
  ],
  "metadata": {
diff --git a/pyproject.toml b/pyproject.toml
index 812895d..9049893 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,6 +4,7 @@ version = "0.1.0"
 description = "Stock analysis"
 requires-python = ">=3.14"
 dependencies = [
+    "akshare>=1.18.20",
     "backtesting~=0.6.5",
     "duckdb>=1.4.4",
     "jupyter~=1.1.1",
@@ -18,4 +19,5 @@ dependencies = [
     "ta-lib>=0.6.8",
     "tabulate>=0.9.0",
     "tqdm>=4.67.1",
+    "tushare>=1.4.24",
 ]
diff --git a/sql/initial.sql b/sql/initial.sql
new file mode 100644
index 0000000..8170d8e
--- /dev/null
+++ b/sql/initial.sql
@@ -0,0 +1,92 @@
+CREATE TABLE stock
+(
+    code        varchar primary key,
+    fullname    varchar,
+    industry    varchar,
+    listed_date date,
+    market      varchar,
+    name        varchar
+);
+
+
+CREATE TABLE daily
+(
+    code                varchar not null,
+    trade_date          date    not null,
+    open                double  not null,
+    close               double  not null,
+    high                double  not null,
+    low                 double  not null,
+    previous_close      double  not null,
+    turnover            double  not null,
+    volume              integer not null,
+    price_change_amount double  not null,
+    factor              double  not null,
+    primary key (code, trade_date)
+);
+
+CREATE TABLE finance_indicator
+(
+    code                                             varchar,
+    year                                             integer,
+    accounts_payable                                 double,
+    accounts_payable_to_total_assets_ratio           double,
+    accounts_receivable                              double,
+    accounts_receivable_to_total_assets_ratio        double,
+    accounts_receivable_turnover                     double,
+    capital_surplus                                  double,
+    cash_and_cash_equivalents                        double,
+    cash_and_cash_equivalents_to_total_assets_ratio  double,
+    cash_flow_adequacy_ratio                         double,
+    cash_flow_from_financing_activities              double,
+    cash_flow_from_investing_activities              double,
+    cash_flow_from_operating_activities              double,
+    cash_flow_ratio                                  double,
+    cash_reinvestment_ratio                          double,
+    current_assets                                   double,
+    current_assets_to_total_assets_ratio             double,
+    current_liabilities                              double,
+    current_liabilities_to_total_assets_ratio        double,
+    current_liabilities_to_total_liabilities_ratio   double,
+    current_ratio                                    double,
+    days_accounts_receivable_turnover                double,
+    days_fixed_assets_turnover                       double,
+    days_inventory_turnover                          double,
+    days_total_assets_turnover                       double,
+    earnings_per_share                               double,
+    fixed_assets                                     double,
+    fixed_assets_to_total_assets_ratio               double,
+    fixed_assets_turnover                            double,
+    goodwill                                         double,
+    goodwill_to_total_assets_ratio                   double,
+    inventory                                        double,
+    inventory_to_total_assets_ratio                  double,
+    inventory_turnover                               double,
+    liabilities_to_total_assets_ratio                double,
+    long_term_funds_to_fixed_assets_ratio            double,
+    long_term_liabilities                            double,
+    long_term_liabilities_to_total_assets_ratio      double,
+    long_term_liabilities_to_total_liabilities_ratio double,
+    net_cash_flow_from_operating_activities          double,
+    net_profit                                       double,
+    net_profit_margin                                double,
+    operating_cost                                   double,
+    operating_expenses                               double,
+    operating_gross_profit_margin                    double,
+    operating_profit                                 double,
+    operating_profit_margin                          double,
+    operating_revenue                                double,
+    operating_safety_margin_ratio                    double,
+    quick_ratio                                      double,
+    return_on_assets                                 double,
+    return_on_equity                                 double,
+    shareholders_equity                              double,
+    shareholders_equity_to_total_assets_ratio        double,
+    surplus_reserve                                  double,
+    total_assets                                     double,
+    total_assets_turnover                            double,
+    total_liabilities                                double,
+    total_share_capital                              double,
+    undistributed_profit                             double,
+    primary key (code, year)
+)
\ No newline at end of file
diff --git a/uv.lock b/uv.lock
index bdaa119..691390e 100644
--- a/uv.lock
+++ b/uv.lock
@@ -2,6 +2,42 @@ version = 1
 revision = 3
 requires-python = ">=3.14"
 
+[[package]]
+name = "akracer"
+version = "0.0.14"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/1e/c6/f38feed5b961d73e1b4cb049fdb45338356e0f5b828b230c00d0e51f3137/akracer-0.0.14.tar.gz", hash = "sha256:e084c14bf6d9a02d5da375e3af1cba3d46f103aa1cf3a2010593b3e95bf1c29a", size = 10047643, upload-time = "2025-09-10T13:47:34.811Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/53/cb/1041355b14cd4b76ac082e8c676858f6eddb78f0ba37c59284adf36e5103/akracer-0.0.14-py3-none-any.whl", hash = "sha256:629eaccd0e1d18366804b797eb2692ed47bed0028f55b5a5af3cc277d521df04", size = 10076442, upload-time = "2025-09-10T13:47:29.061Z" },
+]
+
+[[package]]
+name = "akshare"
+version = "1.18.20"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "akracer", marker = "sys_platform == 'linux'" },
+    { name = "beautifulsoup4" },
+    { name = "curl-cffi" },
+    { name = "decorator" },
+    { name = "html5lib" },
+    { name = "jsonpath" },
+    { name = "lxml" },
+    { name = "mini-racer", marker = "sys_platform != 'linux'" },
+    { name = "openpyxl" },
+    { name = "pandas" },
+    { name = "py-mini-racer", marker = "sys_platform == 'linux'" },
+    { name = "requests" },
+    { name = "tabulate" },
+    { name = "tqdm" },
+    { name = "urllib3" },
+    { name = "xlrd" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/da/e0/48c0d7fc2527787b3179960454037dbe5b8d3409aa00eab23748a34317be/akshare-1.18.20.tar.gz", hash = "sha256:f3797d454fd2bc9e75f85e24abdd2af2c29989d4f89379b3385998bbf1464d16", size = 855384, upload-time = "2026-01-27T14:35:25.261Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e6/b4/2743787e5366eb281b966f8c3fcc85d6e3a8456cefbac27d30ca7baafedd/akshare-1.18.20-py3-none-any.whl", hash = "sha256:9ba6cb3a17ee4cf957cf81e01cec59d55962a3fd867ab669d151a213bb5a9fc3", size = 1074968, upload-time = "2026-01-27T14:35:23.937Z" },
+]
+
 [[package]]
 name = "anyio"
 version = "4.12.1"
@@ -180,6 +216,18 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/f6/a8/877f306720bc114c612579c5af36bcb359026b83d051226945499b306b1a/bokeh-3.8.2-py3-none-any.whl", hash = "sha256:5e2c0d84f75acb25d60efb9e4d2f434a791c4639b47d685534194c4e07bd0111", size = 7207131, upload-time = "2026-01-06T00:20:04.917Z" },
 ]
 
+[[package]]
+name = "bs4"
+version = "0.0.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "beautifulsoup4" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/c9/aa/4acaf814ff901145da37332e05bb510452ebed97bc9602695059dd46ef39/bs4-0.0.2.tar.gz", hash = "sha256:a48685c58f50fe127722417bae83fe6badf500d54b55f7e39ffe43b798653925", size = 698, upload-time = "2024-01-17T18:15:47.371Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/51/bb/bf7aab772a159614954d84aa832c129624ba6c32faa559dfb200a534e50b/bs4-0.0.2-py2.py3-none-any.whl", hash = "sha256:abf8742c0805ef7f662dce4b51cca104cffe52b835238afc169142ab9b3fbccc", size = 1189, upload-time = "2024-01-17T18:15:48.613Z" },
+]
+
 [[package]]
 name = "build"
 version = "1.4.0"
@@ -312,6 +360,29 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/ae/8c/469afb6465b853afff216f9528ffda78a915ff880ed58813ba4faf4ba0b6/contourpy-1.3.3-cp314-cp314t-win_arm64.whl", hash = "sha256:b7448cb5a725bb1e35ce88771b86fba35ef418952474492cf7c764059933ff8b", size = 203831, upload-time = "2025-07-26T12:02:51.449Z" },
 ]
 
+[[package]]
+name = "curl-cffi"
+version = "0.14.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "certifi" },
+    { name = "cffi" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/9b/c9/0067d9a25ed4592b022d4558157fcdb6e123516083700786d38091688767/curl_cffi-0.14.0.tar.gz", hash = "sha256:5ffbc82e59f05008ec08ea432f0e535418823cda44178ee518906a54f27a5f0f", size = 162633, upload-time = "2025-12-16T03:25:07.931Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/aa/f0/0f21e9688eaac85e705537b3a87a5588d0cefb2f09d83e83e0e8be93aa99/curl_cffi-0.14.0-cp39-abi3-macosx_14_0_arm64.whl", hash = "sha256:e35e89c6a69872f9749d6d5fda642ed4fc159619329e99d577d0104c9aad5893", size = 3087277, upload-time = "2025-12-16T03:24:49.607Z" },
+    { url = "https://files.pythonhosted.org/packages/ba/a3/0419bd48fce5b145cb6a2344c6ac17efa588f5b0061f212c88e0723da026/curl_cffi-0.14.0-cp39-abi3-macosx_15_0_x86_64.whl", hash = "sha256:5945478cd28ad7dfb5c54473bcfb6743ee1d66554d57951fdf8fc0e7d8cf4e45", size = 5804650, upload-time = "2025-12-16T03:24:51.518Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/07/a238dd062b7841b8caa2fa8a359eb997147ff3161288f0dd46654d898b4d/curl_cffi-0.14.0-cp39-abi3-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c42e8fa3c667db9ccd2e696ee47adcd3cd5b0838d7282f3fc45f6c0ef3cfdfa7", size = 8231918, upload-time = "2025-12-16T03:24:52.862Z" },
+    { url = "https://files.pythonhosted.org/packages/7c/d2/ce907c9b37b5caf76ac08db40cc4ce3d9f94c5500db68a195af3513eacbc/curl_cffi-0.14.0-cp39-abi3-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:060fe2c99c41d3cb7f894de318ddf4b0301b08dca70453d769bd4e74b36b8483", size = 8654624, upload-time = "2025-12-16T03:24:54.579Z" },
+    { url = "https://files.pythonhosted.org/packages/f2/ae/6256995b18c75e6ef76b30753a5109e786813aa79088b27c8eabb1ef85c9/curl_cffi-0.14.0-cp39-abi3-manylinux_2_28_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:b158c41a25388690dd0d40b5bc38d1e0f512135f17fdb8029868cbc1993d2e5b", size = 8010654, upload-time = "2025-12-16T03:24:56.507Z" },
+    { url = "https://files.pythonhosted.org/packages/fb/10/ff64249e516b103cb762e0a9dca3ee0f04cf25e2a1d5d9838e0f1273d071/curl_cffi-0.14.0-cp39-abi3-manylinux_2_28_i686.whl", hash = "sha256:1439fbef3500fb723333c826adf0efb0e2e5065a703fb5eccce637a2250db34a", size = 7781969, upload-time = "2025-12-16T03:24:57.885Z" },
+    { url = "https://files.pythonhosted.org/packages/51/76/d6f7bb76c2d12811aa7ff16f5e17b678abdd1b357b9a8ac56310ceccabd5/curl_cffi-0.14.0-cp39-abi3-manylinux_2_34_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:e7176f2c2d22b542e3cf261072a81deb018cfa7688930f95dddef215caddb469", size = 7969133, upload-time = "2025-12-16T03:24:59.261Z" },
+    { url = "https://files.pythonhosted.org/packages/23/7c/cca39c0ed4e1772613d3cba13091c0e9d3b89365e84b9bf9838259a3cd8f/curl_cffi-0.14.0-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:03f21ade2d72978c2bb8670e9b6de5260e2755092b02d94b70b906813662998d", size = 9080167, upload-time = "2025-12-16T03:25:00.946Z" },
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+    { url = "https://files.pythonhosted.org/packages/a2/77/78900e9b0833066d2274bda75cba426fdb4cef7fbf6a4f6a6ca447607bec/curl_cffi-0.14.0-cp39-abi3-win_amd64.whl", hash = "sha256:6e503f9a103f6ae7acfb3890c843b53ec030785a22ae7682a22cc43afb94123e", size = 1677416, upload-time = "2025-12-16T03:25:04.902Z" },
+    { url = "https://files.pythonhosted.org/packages/5c/7c/d2ba86b0b3e1e2830bd94163d047de122c69a8df03c5c7c36326c456ad82/curl_cffi-0.14.0-cp39-abi3-win_arm64.whl", hash = "sha256:2eed50a969201605c863c4c31269dfc3e0da52916086ac54553cfa353022425c", size = 1425067, upload-time = "2025-12-16T03:25:06.454Z" },
+]
+
 [[package]]
 name = "cycler"
 version = "0.12.1"
@@ -367,6 +438,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/dd/2d/13e6024e613679d8a489dd922f199ef4b1d08a456a58eadd96dc2f05171f/duckdb-1.4.4-cp314-cp314-win_arm64.whl", hash = "sha256:53cd6423136ab44383ec9955aefe7599b3fb3dd1fe006161e6396d8167e0e0d4", size = 13458633, upload-time = "2026-01-26T11:50:17.657Z" },
 ]
 
+[[package]]
+name = "et-xmlfile"
+version = "2.0.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/d3/38/af70d7ab1ae9d4da450eeec1fa3918940a5fafb9055e934af8d6eb0c2313/et_xmlfile-2.0.0.tar.gz", hash = "sha256:dab3f4764309081ce75662649be815c4c9081e88f0837825f90fd28317d4da54", size = 17234, upload-time = "2024-10-25T17:25:40.039Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c1/8b/5fe2cc11fee489817272089c4203e679c63b570a5aaeb18d852ae3cbba6a/et_xmlfile-2.0.0-py3-none-any.whl", hash = "sha256:7a91720bc756843502c3b7504c77b8fe44217c85c537d85037f0f536151b2caa", size = 18059, upload-time = "2024-10-25T17:25:39.051Z" },
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+
 [[package]]
 name = "executing"
 version = "2.2.1"
@@ -451,6 +531,19 @@ wheels = [
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 ]
 
+[[package]]
+name = "html5lib"
+version = "1.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "six" },
+    { name = "webencodings" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/ac/b6/b55c3f49042f1df3dcd422b7f224f939892ee94f22abcf503a9b7339eaf2/html5lib-1.1.tar.gz", hash = "sha256:b2e5b40261e20f354d198eae92afc10d750afb487ed5e50f9c4eaf07c184146f", size = 272215, upload-time = "2020-06-22T23:32:38.834Z" }
+wheels = [
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+]
+
 [[package]]
 name = "httpcore"
 version = "1.0.9"
@@ -606,6 +699,12 @@ wheels = [
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 ]
 
+[[package]]
+name = "jsonpath"
+version = "0.82.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/cf/a1/693351acd0a9edca4de9153372a65e75398898ea7f8a5c722ab00f464929/jsonpath-0.82.2.tar.gz", hash = "sha256:d87ef2bcbcded68ee96bc34c1809b69457ecec9b0c4dd471658a12bd391002d1", size = 10353, upload-time = "2023-08-24T18:57:55.459Z" }
+
 [[package]]
 name = "jsonpointer"
 version = "3.0.0"
@@ -914,6 +1013,7 @@ name = "leopard-analysis"
 version = "0.1.0"
 source = { virtual = "." }
 dependencies = [
+    { name = "akshare" },
     { name = "backtesting" },
     { name = "duckdb" },
     { name = "jupyter" },
@@ -928,10 +1028,12 @@ dependencies = [
     { name = "ta-lib" },
     { name = "tabulate" },
     { name = "tqdm" },
+    { name = "tushare" },
 ]
 
 [package.metadata]
 requires-dist = [
+    { name = "akshare", specifier = ">=1.18.20" },
     { name = "backtesting", specifier = "~=0.6.5" },
     { name = "duckdb", specifier = ">=1.4.4" },
     { name = "jupyter", specifier = "~=1.1.1" },
@@ -946,6 +1048,51 @@ requires-dist = [
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     { name = "tabulate", specifier = ">=0.9.0" },
     { name = "tqdm", specifier = ">=4.67.1" },
+    { name = "tushare", specifier = ">=1.4.24" },
+]
+
+[[package]]
+name = "lxml"
+version = "6.0.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/aa/88/262177de60548e5a2bfc46ad28232c9e9cbde697bd94132aeb80364675cb/lxml-6.0.2.tar.gz", hash = "sha256:cd79f3367bd74b317dda655dc8fcfa304d9eb6e4fb06b7168c5cf27f96e0cd62", size = 4073426, upload-time = "2025-09-22T04:04:59.287Z" }
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+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "bs4" },
+    { name = "lxml" },
+    { name = "pandas" },
+    { name = "requests" },
+    { name = "simplejson" },
+    { name = "tqdm" },
+    { name = "websocket-client" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/89/09/2141aaccb90a8249edb42d6b31330606d8cf9345237773775a3aa4c71986/tushare-1.4.24.tar.gz", hash = "sha256:786acbf6ee7dfb0b152bdd570b673f74e58b86a0d9908a221c6bdc4254a4e0ea", size = 128539, upload-time = "2025-08-25T02:02:05.451Z" }
+wheels = [
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+]
+
 [[package]]
 name = "types-pytz"
 version = "2025.2.0.20251108"
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+[[package]]
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+wheels = [
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+]
+
 [[package]]
 name = "xyzservices"
 version = "2025.11.0"