0.5.4 新增jupyter notebook example

.gitignore

@@ -7,7 +7,7 @@ __pycache__/
 *.xlsx
 *.html
 *.png
-
+*.ipynb_checkpoints/
 # C extensions
 *.so
 

examples/使用CZSC进行选股.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "## 使用 `czsc` 进行选股\n",
+    "---\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from datetime import datetime\n",
+    "import traceback\n",
+    "from czsc.analyze import KlineAnalyze"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# 导入聚宽数据\n",
+    "from czsc.data.jq import *\n",
+    "\n",
+    "# 如果是第一次使用需要设置 token\n",
+    "# set_token(\"手机号\", \"登录密码\")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "### 缠论日线笔中枢三买选股\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "def selector(symbols):\n",
+    "    \"\"\"输入symbols，选出有符合要求买点的股票列表\"\"\"\n",
+    "    res = []\n",
+    "    for symbol in symbols:\n",
+    "        try:\n",
+    "            kline = get_kline(symbol=symbol, end_date=datetime.now(), freq=\"D\", count=1000)\n",
+    "            ka = KlineAnalyze(kline, ma_params=(5, 34, 120, 233))\n",
+    "            points = ka.bi_list[-6:]\n",
+    "            if points[-1]['fx_mark'] == \"d\":\n",
+    "                zs_g = min([x['bi'] for x in points[:4] if x['fx_mark'] == 'g'])\n",
+    "                zs_d = max([x['bi'] for x in points[:4] if x['fx_mark'] == 'd'])\n",
+    "\n",
+    "                if points[-1]['bi'] > zs_g > zs_d:\n",
+    "                    res.append(symbol)\n",
+    "        except:\n",
+    "            traceback.print_exc()\n",
+    "    return res\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "res = selector(symbols=[\"000001.XSHG\", \"300803.XSHE\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 日线笔中枢形态选股\n",
+    "---\n",
+    "\n",
+    "中枢如果能当下确认，基本逻辑如下：\n",
+    "1. ma 233<close<ma 60 ---得 codes_list1\n",
+    "2. codes_list1中选择 符合日线笔中枢形态的，得codes_list2\n",
+    "    * 2.1 笔中枢形态：方向下: 日线中枢完成，第四笔底分型\n",
+    "3. codes_list2 中中枢第一笔到第四笔得日期跨度 date1\n",
+    "4. date1时间跨度中，codes_list2 ma233 cross的个数，并标注 codes_list3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}