{
"cells": [
{
"cell_type": "markdown",
"id": "e00a7861-8ea0-49c1-b77d-23558a59a5f4",
"metadata": {},
"source": [
"# Part 0: Import 套件"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "edc6cda3-7817-40ed-b53e-7df4d8908717",
"metadata": {},
"outputs": [],
"source": [
"#下載資料套件\n",
"import urllib3\n",
"from bs4 import BeautifulSoup\n",
"import requests as r\n",
"\n",
"#資料處理套件\n",
"import json\n",
"import pandas as pd\n",
"from datetime import datetime, date, timedelta\n",
"\n",
"# 畫圖套件\n",
"import plotly.graph_objects as go\n",
"from plotly.subplots import make_subplots"
]
},
{
"cell_type": "markdown",
"id": "15c22c5e-94de-4b66-8737-f6152b149a93",
"metadata": {},
"source": [
"# Part 1: 下載期交所30天以上選擇權Put/Call比\n",
"- 股海小英雄youtube影片：[【Python 爬蟲】台指選擇權Put/Call比免費下載 (下)｜股市多空頭長線預測｜突破30天下載限制](https://youtu.be/uUqXf_SA2F0)\n",
"- 資料來源：[台灣期交所 臺指選擇權 Put/Call Ratios 統計表 ](https://www.taifex.com.tw/cht/3/pcRatio)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "f11f6e36-f09c-42ae-b2d9-cc196d9f6a31",
"metadata": {},
"outputs": [],
"source": [
"def date_range(start_year, start_month, start_day, end_year, end_month, end_day):\n",
" # 將開始日跟結束日轉為時間型態\n",
" start_date = date(start_year, start_month, start_day)\n",
" end_date = date(end_year, end_month, end_day)\n",
" \n",
" # 在開始日與結束日區間內 以每30天為單位切分 不含結束日\n",
" date_list = pd.date_range(start_date, end_date, freq='30D').tolist()\n",
" \n",
" # 加上結束日 \n",
" if date_list[-1] != end_date:\n",
" date_list.append(end_date)\n",
" \n",
" return date_list"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "8b9d6a56-dc21-49a5-8e51-7ba9a9971250",
"metadata": {},
"outputs": [],
"source": [
"def pc_ratio(date_list):\n",
" # 設定urllib物件,下載網址,儲存資料的df\n",
" http = urllib3.PoolManager()\n",
" url = \"https://www.taifex.com.tw/cht/3/pcRatio\"\n",
" df = pd.DataFrame()\n",
" \n",
" # 下載期交所P/C比的迴圈\n",
" for idx in range(len(date_list) - 1):\n",
" # 設定下載資料的起始日 queryStartDate & queryEndDate\n",
" if idx == 0:\n",
" start_date = date_list[idx].strftime(\"%Y/%m/%d\")\n",
" else:\n",
" start_date = (date_list[idx] + timedelta(days = 1)).strftime(\"%Y/%m/%d\")\n",
" end_date = date_list[idx + 1].strftime(\"%Y/%m/%d\")\n",
" print(\"迴圈索引值: \", idx, \"; 下載時間區間: \", start_date, \"-\",end_date)\n",
" \n",
" # 從期交所下載資料\n",
" res = http.request(\n",
" 'POST',\n",
" url,\n",
" fields={\n",
" 'queryStartDate': start_date,\n",
" 'queryEndDate': end_date\n",
" }\n",
" )\n",
" html_doc = res.data\n",
" table = BeautifulSoup(html_doc, 'html.parser').table\n",
" pc_ratio_df = pd.read_html(str(table))[3]\n",
" df = df.append(pc_ratio_df, ignore_index = True)\n",
" \n",
" # 日期欄位資料型態從文字轉為時間\n",
" for row in range(df.shape[0]):\n",
" date2 = df.iloc[row,0].split('/')\n",
" df.iloc[row, 0] = datetime(int(date2[0]), int(date2[1]), int(date2[2]))\n",
" \n",
" # dataframe 按照日期排序\n",
" df.sort_values(\"日期\", inplace=True, ignore_index = True)\n",
" \n",
" # 設定 dataframe 的欄位名稱\n",
" df.columns = ['日期', '賣權成交量', '買權成交量', '買賣權成交量比率%', '賣權未平倉量', '買權未平倉量', '買賣權未平倉量比率%']\n",
" return df"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "42a10534-9055-4932-a2ba-e320a4f9ccab",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"迴圈索引值: 0 ; 下載時間區間: 2021/08/01 - 2021/08/31\n",
"迴圈索引值: 1 ; 下載時間區間: 2021/09/01 - 2021/09/26\n"
]
},
{
"data": {
"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>日期</th>\n",
" <th>賣權成交量</th>\n",
" <th>買權成交量</th>\n",
" <th>買賣權成交量比率%</th>\n",
" <th>賣權未平倉量</th>\n",
" <th>買權未平倉量</th>\n",
" <th>買賣權未平倉量比率%</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2021-08-02 00:00:00</td>\n",
" <td>338059</td>\n",
" <td>305124</td>\n",
" <td>110.79</td>\n",
" <td>237570</td>\n",
" <td>201188</td>\n",
" <td>118.08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2021-08-03 00:00:00</td>\n",
" <td>320081</td>\n",
" <td>272288</td>\n",
" <td>117.55</td>\n",
" <td>262276</td>\n",
" <td>218840</td>\n",
" <td>119.85</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2021-08-04 00:00:00</td>\n",
" <td>490053</td>\n",
" <td>398553</td>\n",
" <td>122.96</td>\n",
" <td>160675</td>\n",
" <td>141543</td>\n",
" <td>113.52</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2021-08-05 00:00:00</td>\n",
" <td>158396</td>\n",
" <td>113045</td>\n",
" <td>140.12</td>\n",
" <td>210999</td>\n",
" <td>168245</td>\n",
" <td>125.41</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2021-08-06 00:00:00</td>\n",
" <td>243829</td>\n",
" <td>228018</td>\n",
" <td>106.93</td>\n",
" <td>243176</td>\n",
" <td>195317</td>\n",
" <td>124.50</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>2021-08-09 00:00:00</td>\n",
" <td>271666</td>\n",
" <td>298988</td>\n",
" <td>90.86</td>\n",
" <td>266233</td>\n",
" <td>221434</td>\n",
" <td>120.23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>2021-08-10 00:00:00</td>\n",
" <td>318535</td>\n",
" <td>373471</td>\n",
" <td>85.29</td>\n",
" <td>274400</td>\n",
" <td>258451</td>\n",
" <td>106.17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>2021-08-11 00:00:00</td>\n",
" <td>671355</td>\n",
" <td>607894</td>\n",
" <td>110.44</td>\n",
" <td>175921</td>\n",
" <td>169982</td>\n",
" <td>103.49</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>2021-08-12 00:00:00</td>\n",
" <td>193014</td>\n",
" <td>206145</td>\n",
" <td>93.63</td>\n",
" <td>207351</td>\n",
" <td>205649</td>\n",
" <td>100.83</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>2021-08-13 00:00:00</td>\n",
" <td>283083</td>\n",
" <td>340522</td>\n",
" <td>83.13</td>\n",
" <td>222768</td>\n",
" <td>242353</td>\n",
" <td>91.92</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>2021-08-16 00:00:00</td>\n",
" <td>415320</td>\n",
" <td>418357</td>\n",
" <td>99.27</td>\n",
" <td>239784</td>\n",
" <td>282814</td>\n",
" <td>84.79</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>2021-08-17 00:00:00</td>\n",
" <td>407888</td>\n",
" <td>462242</td>\n",
" <td>88.24</td>\n",
" <td>244643</td>\n",
" <td>309037</td>\n",
" <td>79.16</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>2021-08-18 00:00:00</td>\n",
" <td>917697</td>\n",
" <td>839110</td>\n",
" <td>109.37</td>\n",
" <td>104401</td>\n",
" <td>92275</td>\n",
" <td>113.14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>2021-08-19 00:00:00</td>\n",
" <td>379910</td>\n",
" <td>426670</td>\n",
" <td>89.04</td>\n",
" <td>158776</td>\n",
" <td>196889</td>\n",
" <td>80.64</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>2021-08-20 00:00:00</td>\n",
" <td>452472</td>\n",
" <td>439797</td>\n",
" <td>102.88</td>\n",
" <td>187974</td>\n",
" <td>225697</td>\n",
" <td>83.29</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>2021-08-23 00:00:00</td>\n",
" <td>468398</td>\n",
" <td>390501</td>\n",
" <td>119.95</td>\n",
" <td>244039</td>\n",
" <td>209865</td>\n",
" <td>116.28</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>2021-08-24 00:00:00</td>\n",
" <td>374358</td>\n",
" <td>346433</td>\n",
" <td>108.06</td>\n",
" <td>266889</td>\n",
" <td>226608</td>\n",
" <td>117.78</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>2021-08-25 00:00:00</td>\n",
" <td>573756</td>\n",
" <td>526340</td>\n",
" <td>109.01</td>\n",
" <td>154185</td>\n",
" <td>133497</td>\n",
" <td>115.50</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>2021-08-26 00:00:00</td>\n",
" <td>276896</td>\n",
" <td>324132</td>\n",
" <td>85.43</td>\n",
" <td>202415</td>\n",
" <td>186577</td>\n",
" <td>108.49</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>2021-08-27 00:00:00</td>\n",
" <td>296912</td>\n",
" <td>282756</td>\n",
" <td>105.01</td>\n",
" <td>233760</td>\n",
" <td>189848</td>\n",
" <td>123.13</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>2021-08-30 00:00:00</td>\n",
" <td>352230</td>\n",
" <td>303672</td>\n",
" <td>115.99</td>\n",
" <td>276241</td>\n",
" <td>206211</td>\n",
" <td>133.96</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>2021-08-31 00:00:00</td>\n",
" <td>437773</td>\n",
" <td>470053</td>\n",
" <td>93.13</td>\n",
" <td>299533</td>\n",
" <td>215778</td>\n",
" <td>138.82</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>2021-09-01 00:00:00</td>\n",
" <td>512311</td>\n",
" <td>522933</td>\n",
" <td>97.97</td>\n",
" <td>182946</td>\n",
" <td>150484</td>\n",
" <td>121.57</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>2021-09-02 00:00:00</td>\n",
" <td>290264</td>\n",
" <td>285135</td>\n",
" <td>101.80</td>\n",
" <td>233776</td>\n",
" <td>207158</td>\n",
" <td>112.85</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>2021-09-03 00:00:00</td>\n",
" <td>287571</td>\n",
" <td>276349</td>\n",
" <td>104.06</td>\n",
" <td>273554</td>\n",
" <td>212741</td>\n",
" <td>128.59</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>2021-09-06 00:00:00</td>\n",
" <td>356407</td>\n",
" <td>344565</td>\n",
" <td>103.44</td>\n",
" <td>299154</td>\n",
" <td>232007</td>\n",
" <td>128.94</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>2021-09-07 00:00:00</td>\n",
" <td>375727</td>\n",
" <td>398162</td>\n",
" <td>94.37</td>\n",
" <td>318731</td>\n",
" <td>253279</td>\n",
" <td>125.84</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>2021-09-08 00:00:00</td>\n",
" <td>672625</td>\n",
" <td>701492</td>\n",
" <td>95.88</td>\n",
" <td>215750</td>\n",
" <td>183224</td>\n",
" <td>117.75</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>2021-09-09 00:00:00</td>\n",
" <td>322761</td>\n",
" <td>292585</td>\n",
" <td>110.31</td>\n",
" <td>261144</td>\n",
" <td>216671</td>\n",
" <td>120.53</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>2021-09-10 00:00:00</td>\n",
" <td>321912</td>\n",
" <td>266189</td>\n",
" <td>120.93</td>\n",
" <td>294188</td>\n",
" <td>213482</td>\n",
" <td>137.80</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>2021-09-13 00:00:00</td>\n",
" <td>286364</td>\n",
" <td>239503</td>\n",
" <td>119.57</td>\n",
" <td>326113</td>\n",
" <td>230267</td>\n",
" <td>141.62</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>2021-09-14 00:00:00</td>\n",
" <td>353299</td>\n",
" <td>294284</td>\n",
" <td>120.05</td>\n",
" <td>342375</td>\n",
" <td>249609</td>\n",
" <td>137.16</td>\n",
" </tr>\n",
" <tr>\n",
" <th>32</th>\n",
" <td>2021-09-15 00:00:00</td>\n",
" <td>568878</td>\n",
" <td>586676</td>\n",
" <td>96.97</td>\n",
" <td>93336</td>\n",
" <td>80856</td>\n",
" <td>115.43</td>\n",
" </tr>\n",
" <tr>\n",
" <th>33</th>\n",
" <td>2021-09-16 00:00:00</td>\n",
" <td>194346</td>\n",
" <td>211453</td>\n",
" <td>91.91</td>\n",
" <td>144226</td>\n",
" <td>139071</td>\n",
" <td>103.71</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34</th>\n",
" <td>2021-09-17 00:00:00</td>\n",
" <td>279216</td>\n",
" <td>261868</td>\n",
" <td>106.62</td>\n",
" <td>177380</td>\n",
" <td>158485</td>\n",
" <td>111.92</td>\n",
" </tr>\n",
" <tr>\n",
" <th>35</th>\n",
" <td>2021-09-22 00:00:00</td>\n",
" <td>491303</td>\n",
" <td>565870</td>\n",
" <td>86.82</td>\n",
" <td>121732</td>\n",
" <td>114407</td>\n",
" <td>106.40</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36</th>\n",
" <td>2021-09-23 00:00:00</td>\n",
" <td>209553</td>\n",
" <td>197438</td>\n",
" <td>106.14</td>\n",
" <td>168356</td>\n",
" <td>150273</td>\n",
" <td>112.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>37</th>\n",
" <td>2021-09-24 00:00:00</td>\n",
" <td>239690</td>\n",
" <td>223569</td>\n",
" <td>107.21</td>\n",
" <td>198411</td>\n",
" <td>178111</td>\n",
" <td>111.40</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" 日期 賣權成交量 買權成交量 買賣權成交量比率% 賣權未平倉量 買權未平倉量 買賣權未平倉量比率%\n",
"0 2021-08-02 00:00:00 338059 305124 110.79 237570 201188 118.08\n",
"1 2021-08-03 00:00:00 320081 272288 117.55 262276 218840 119.85\n",
"2 2021-08-04 00:00:00 490053 398553 122.96 160675 141543 113.52\n",
"3 2021-08-05 00:00:00 158396 113045 140.12 210999 168245 125.41\n",
"4 2021-08-06 00:00:00 243829 228018 106.93 243176 195317 124.50\n",
"5 2021-08-09 00:00:00 271666 298988 90.86 266233 221434 120.23\n",
"6 2021-08-10 00:00:00 318535 373471 85.29 274400 258451 106.17\n",
"7 2021-08-11 00:00:00 671355 607894 110.44 175921 169982 103.49\n",
"8 2021-08-12 00:00:00 193014 206145 93.63 207351 205649 100.83\n",
"9 2021-08-13 00:00:00 283083 340522 83.13 222768 242353 91.92\n",
"10 2021-08-16 00:00:00 415320 418357 99.27 239784 282814 84.79\n",
"11 2021-08-17 00:00:00 407888 462242 88.24 244643 309037 79.16\n",
"12 2021-08-18 00:00:00 917697 839110 109.37 104401 92275 113.14\n",
"13 2021-08-19 00:00:00 379910 426670 89.04 158776 196889 80.64\n",
"14 2021-08-20 00:00:00 452472 439797 102.88 187974 225697 83.29\n",
"15 2021-08-23 00:00:00 468398 390501 119.95 244039 209865 116.28\n",
"16 2021-08-24 00:00:00 374358 346433 108.06 266889 226608 117.78\n",
"17 2021-08-25 00:00:00 573756 526340 109.01 154185 133497 115.50\n",
"18 2021-08-26 00:00:00 276896 324132 85.43 202415 186577 108.49\n",
"19 2021-08-27 00:00:00 296912 282756 105.01 233760 189848 123.13\n",
"20 2021-08-30 00:00:00 352230 303672 115.99 276241 206211 133.96\n",
"21 2021-08-31 00:00:00 437773 470053 93.13 299533 215778 138.82\n",
"22 2021-09-01 00:00:00 512311 522933 97.97 182946 150484 121.57\n",
"23 2021-09-02 00:00:00 290264 285135 101.80 233776 207158 112.85\n",
"24 2021-09-03 00:00:00 287571 276349 104.06 273554 212741 128.59\n",
"25 2021-09-06 00:00:00 356407 344565 103.44 299154 232007 128.94\n",
"26 2021-09-07 00:00:00 375727 398162 94.37 318731 253279 125.84\n",
"27 2021-09-08 00:00:00 672625 701492 95.88 215750 183224 117.75\n",
"28 2021-09-09 00:00:00 322761 292585 110.31 261144 216671 120.53\n",
"29 2021-09-10 00:00:00 321912 266189 120.93 294188 213482 137.80\n",
"30 2021-09-13 00:00:00 286364 239503 119.57 326113 230267 141.62\n",
"31 2021-09-14 00:00:00 353299 294284 120.05 342375 249609 137.16\n",
"32 2021-09-15 00:00:00 568878 586676 96.97 93336 80856 115.43\n",
"33 2021-09-16 00:00:00 194346 211453 91.91 144226 139071 103.71\n",
"34 2021-09-17 00:00:00 279216 261868 106.62 177380 158485 111.92\n",
"35 2021-09-22 00:00:00 491303 565870 86.82 121732 114407 106.40\n",
"36 2021-09-23 00:00:00 209553 197438 106.14 168356 150273 112.03\n",
"37 2021-09-24 00:00:00 239690 223569 107.21 198411 178111 111.40"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"date_list = date_range(start_year = 2021, \n",
" start_month = 8, \n",
" start_day = 1, \n",
" end_year = 2021, \n",
" end_month = 9, \n",
" end_day = 26)\n",
"\n",
"df_pc = pc_ratio(date_list)\n",
"df_pc"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "c466ae88-5729-40d6-8ad2-17e59ef8a93f",
"metadata": {},
"outputs": [],
"source": [
"df_pc['買賣權未平倉量比率差%'] = df_pc['買賣權未平倉量比率%'] - 100"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "8ec8805f-69df-4981-8d6b-2ad72ed606f9",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
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" 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>日期</th>\n",
" <th>賣權成交量</th>\n",
" <th>買權成交量</th>\n",
" <th>買賣權成交量比率%</th>\n",
" <th>賣權未平倉量</th>\n",
" <th>買權未平倉量</th>\n",
" <th>買賣權未平倉量比率%</th>\n",
" <th>買賣權未平倉量比率差%</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2021-08-02 00:00:00</td>\n",
" <td>338059</td>\n",
" <td>305124</td>\n",
" <td>110.79</td>\n",
" <td>237570</td>\n",
" <td>201188</td>\n",
" <td>118.08</td>\n",
" <td>18.08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2021-08-03 00:00:00</td>\n",
" <td>320081</td>\n",
" <td>272288</td>\n",
" <td>117.55</td>\n",
" <td>262276</td>\n",
" <td>218840</td>\n",
" <td>119.85</td>\n",
" <td>19.85</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2021-08-04 00:00:00</td>\n",
" <td>490053</td>\n",
" <td>398553</td>\n",
" <td>122.96</td>\n",
" <td>160675</td>\n",
" <td>141543</td>\n",
" <td>113.52</td>\n",
" <td>13.52</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2021-08-05 00:00:00</td>\n",
" <td>158396</td>\n",
" <td>113045</td>\n",
" <td>140.12</td>\n",
" <td>210999</td>\n",
" <td>168245</td>\n",
" <td>125.41</td>\n",
" <td>25.41</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2021-08-06 00:00:00</td>\n",
" <td>243829</td>\n",
" <td>228018</td>\n",
" <td>106.93</td>\n",
" <td>243176</td>\n",
" <td>195317</td>\n",
" <td>124.50</td>\n",
" <td>24.50</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>2021-08-09 00:00:00</td>\n",
" <td>271666</td>\n",
" <td>298988</td>\n",
" <td>90.86</td>\n",
" <td>266233</td>\n",
" <td>221434</td>\n",
" <td>120.23</td>\n",
" <td>20.23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>2021-08-10 00:00:00</td>\n",
" <td>318535</td>\n",
" <td>373471</td>\n",
" <td>85.29</td>\n",
" <td>274400</td>\n",
" <td>258451</td>\n",
" <td>106.17</td>\n",
" <td>6.17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>2021-08-11 00:00:00</td>\n",
" <td>671355</td>\n",
" <td>607894</td>\n",
" <td>110.44</td>\n",
" <td>175921</td>\n",
" <td>169982</td>\n",
" <td>103.49</td>\n",
" <td>3.49</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>2021-08-12 00:00:00</td>\n",
" <td>193014</td>\n",
" <td>206145</td>\n",
" <td>93.63</td>\n",
" <td>207351</td>\n",
" <td>205649</td>\n",
" <td>100.83</td>\n",
" <td>0.83</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>2021-08-13 00:00:00</td>\n",
" <td>283083</td>\n",
" <td>340522</td>\n",
" <td>83.13</td>\n",
" <td>222768</td>\n",
" <td>242353</td>\n",
" <td>91.92</td>\n",
" <td>-8.08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>2021-08-16 00:00:00</td>\n",
" <td>415320</td>\n",
" <td>418357</td>\n",
" <td>99.27</td>\n",
" <td>239784</td>\n",
" <td>282814</td>\n",
" <td>84.79</td>\n",
" <td>-15.21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>2021-08-17 00:00:00</td>\n",
" <td>407888</td>\n",
" <td>462242</td>\n",
" <td>88.24</td>\n",
" <td>244643</td>\n",
" <td>309037</td>\n",
" <td>79.16</td>\n",
" <td>-20.84</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>2021-08-18 00:00:00</td>\n",
" <td>917697</td>\n",
" <td>839110</td>\n",
" <td>109.37</td>\n",
" <td>104401</td>\n",
" <td>92275</td>\n",
" <td>113.14</td>\n",
" <td>13.14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>2021-08-19 00:00:00</td>\n",
" <td>379910</td>\n",
" <td>426670</td>\n",
" <td>89.04</td>\n",
" <td>158776</td>\n",
" <td>196889</td>\n",
" <td>80.64</td>\n",
" <td>-19.36</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>2021-08-20 00:00:00</td>\n",
" <td>452472</td>\n",
" <td>439797</td>\n",
" <td>102.88</td>\n",
" <td>187974</td>\n",
" <td>225697</td>\n",
" <td>83.29</td>\n",
" <td>-16.71</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>2021-08-23 00:00:00</td>\n",
" <td>468398</td>\n",
" <td>390501</td>\n",
" <td>119.95</td>\n",
" <td>244039</td>\n",
" <td>209865</td>\n",
" <td>116.28</td>\n",
" <td>16.28</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>2021-08-24 00:00:00</td>\n",
" <td>374358</td>\n",
" <td>346433</td>\n",
" <td>108.06</td>\n",
" <td>266889</td>\n",
" <td>226608</td>\n",
" <td>117.78</td>\n",
" <td>17.78</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>2021-08-25 00:00:00</td>\n",
" <td>573756</td>\n",
" <td>526340</td>\n",
" <td>109.01</td>\n",
" <td>154185</td>\n",
" <td>133497</td>\n",
" <td>115.50</td>\n",
" <td>15.50</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>2021-08-26 00:00:00</td>\n",
" <td>276896</td>\n",
" <td>324132</td>\n",
" <td>85.43</td>\n",
" <td>202415</td>\n",
" <td>186577</td>\n",
" <td>108.49</td>\n",
" <td>8.49</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>2021-08-27 00:00:00</td>\n",
" <td>296912</td>\n",
" <td>282756</td>\n",
" <td>105.01</td>\n",
" <td>233760</td>\n",
" <td>189848</td>\n",
" <td>123.13</td>\n",
" <td>23.13</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>2021-08-30 00:00:00</td>\n",
" <td>352230</td>\n",
" <td>303672</td>\n",
" <td>115.99</td>\n",
" <td>276241</td>\n",
" <td>206211</td>\n",
" <td>133.96</td>\n",
" <td>33.96</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>2021-08-31 00:00:00</td>\n",
" <td>437773</td>\n",
" <td>470053</td>\n",
" <td>93.13</td>\n",
" <td>299533</td>\n",
" <td>215778</td>\n",
" <td>138.82</td>\n",
" <td>38.82</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>2021-09-01 00:00:00</td>\n",
" <td>512311</td>\n",
" <td>522933</td>\n",
" <td>97.97</td>\n",
" <td>182946</td>\n",
" <td>150484</td>\n",
" <td>121.57</td>\n",
" <td>21.57</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>2021-09-02 00:00:00</td>\n",
" <td>290264</td>\n",
" <td>285135</td>\n",
" <td>101.80</td>\n",
" <td>233776</td>\n",
" <td>207158</td>\n",
" <td>112.85</td>\n",
" <td>12.85</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>2021-09-03 00:00:00</td>\n",
" <td>287571</td>\n",
" <td>276349</td>\n",
" <td>104.06</td>\n",
" <td>273554</td>\n",
" <td>212741</td>\n",
" <td>128.59</td>\n",
" <td>28.59</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>2021-09-06 00:00:00</td>\n",
" <td>356407</td>\n",
" <td>344565</td>\n",
" <td>103.44</td>\n",
" <td>299154</td>\n",
" <td>232007</td>\n",
" <td>128.94</td>\n",
" <td>28.94</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>2021-09-07 00:00:00</td>\n",
" <td>375727</td>\n",
" <td>398162</td>\n",
" <td>94.37</td>\n",
" <td>318731</td>\n",
" <td>253279</td>\n",
" <td>125.84</td>\n",
" <td>25.84</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>2021-09-08 00:00:00</td>\n",
" <td>672625</td>\n",
" <td>701492</td>\n",
" <td>95.88</td>\n",
" <td>215750</td>\n",
" <td>183224</td>\n",
" <td>117.75</td>\n",
" <td>17.75</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>2021-09-09 00:00:00</td>\n",
" <td>322761</td>\n",
" <td>292585</td>\n",
" <td>110.31</td>\n",
" <td>261144</td>\n",
" <td>216671</td>\n",
" <td>120.53</td>\n",
" <td>20.53</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>2021-09-10 00:00:00</td>\n",
" <td>321912</td>\n",
" <td>266189</td>\n",
" <td>120.93</td>\n",
" <td>294188</td>\n",
" <td>213482</td>\n",
" <td>137.80</td>\n",
" <td>37.80</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>2021-09-13 00:00:00</td>\n",
" <td>286364</td>\n",
" <td>239503</td>\n",
" <td>119.57</td>\n",
" <td>326113</td>\n",
" <td>230267</td>\n",
" <td>141.62</td>\n",
" <td>41.62</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>2021-09-14 00:00:00</td>\n",
" <td>353299</td>\n",
" <td>294284</td>\n",
" <td>120.05</td>\n",
" <td>342375</td>\n",
" <td>249609</td>\n",
" <td>137.16</td>\n",
" <td>37.16</td>\n",
" </tr>\n",
" <tr>\n",
" <th>32</th>\n",
" <td>2021-09-15 00:00:00</td>\n",
" <td>568878</td>\n",
" <td>586676</td>\n",
" <td>96.97</td>\n",
" <td>93336</td>\n",
" <td>80856</td>\n",
" <td>115.43</td>\n",
" <td>15.43</td>\n",
" </tr>\n",
" <tr>\n",
" <th>33</th>\n",
" <td>2021-09-16 00:00:00</td>\n",
" <td>194346</td>\n",
" <td>211453</td>\n",
" <td>91.91</td>\n",
" <td>144226</td>\n",
" <td>139071</td>\n",
" <td>103.71</td>\n",
" <td>3.71</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34</th>\n",
" <td>2021-09-17 00:00:00</td>\n",
" <td>279216</td>\n",
" <td>261868</td>\n",
" <td>106.62</td>\n",
" <td>177380</td>\n",
" <td>158485</td>\n",
" <td>111.92</td>\n",
" <td>11.92</td>\n",
" </tr>\n",
" <tr>\n",
" <th>35</th>\n",
" <td>2021-09-22 00:00:00</td>\n",
" <td>491303</td>\n",
" <td>565870</td>\n",
" <td>86.82</td>\n",
" <td>121732</td>\n",
" <td>114407</td>\n",
" <td>106.40</td>\n",
" <td>6.40</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36</th>\n",
" <td>2021-09-23 00:00:00</td>\n",
" <td>209553</td>\n",
" <td>197438</td>\n",
" <td>106.14</td>\n",
" <td>168356</td>\n",
" <td>150273</td>\n",
" <td>112.03</td>\n",
" <td>12.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>37</th>\n",
" <td>2021-09-24 00:00:00</td>\n",
" <td>239690</td>\n",
" <td>223569</td>\n",
" <td>107.21</td>\n",
" <td>198411</td>\n",
" <td>178111</td>\n",
" <td>111.40</td>\n",
" <td>11.40</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" 日期 賣權成交量 買權成交量 買賣權成交量比率% 賣權未平倉量 買權未平倉量 \\\n",
"0 2021-08-02 00:00:00 338059 305124 110.79 237570 201188 \n",
"1 2021-08-03 00:00:00 320081 272288 117.55 262276 218840 \n",
"2 2021-08-04 00:00:00 490053 398553 122.96 160675 141543 \n",
"3 2021-08-05 00:00:00 158396 113045 140.12 210999 168245 \n",
"4 2021-08-06 00:00:00 243829 228018 106.93 243176 195317 \n",
"5 2021-08-09 00:00:00 271666 298988 90.86 266233 221434 \n",
"6 2021-08-10 00:00:00 318535 373471 85.29 274400 258451 \n",
"7 2021-08-11 00:00:00 671355 607894 110.44 175921 169982 \n",
"8 2021-08-12 00:00:00 193014 206145 93.63 207351 205649 \n",
"9 2021-08-13 00:00:00 283083 340522 83.13 222768 242353 \n",
"10 2021-08-16 00:00:00 415320 418357 99.27 239784 282814 \n",
"11 2021-08-17 00:00:00 407888 462242 88.24 244643 309037 \n",
"12 2021-08-18 00:00:00 917697 839110 109.37 104401 92275 \n",
"13 2021-08-19 00:00:00 379910 426670 89.04 158776 196889 \n",
"14 2021-08-20 00:00:00 452472 439797 102.88 187974 225697 \n",
"15 2021-08-23 00:00:00 468398 390501 119.95 244039 209865 \n",
"16 2021-08-24 00:00:00 374358 346433 108.06 266889 226608 \n",
"17 2021-08-25 00:00:00 573756 526340 109.01 154185 133497 \n",
"18 2021-08-26 00:00:00 276896 324132 85.43 202415 186577 \n",
"19 2021-08-27 00:00:00 296912 282756 105.01 233760 189848 \n",
"20 2021-08-30 00:00:00 352230 303672 115.99 276241 206211 \n",
"21 2021-08-31 00:00:00 437773 470053 93.13 299533 215778 \n",
"22 2021-09-01 00:00:00 512311 522933 97.97 182946 150484 \n",
"23 2021-09-02 00:00:00 290264 285135 101.80 233776 207158 \n",
"24 2021-09-03 00:00:00 287571 276349 104.06 273554 212741 \n",
"25 2021-09-06 00:00:00 356407 344565 103.44 299154 232007 \n",
"26 2021-09-07 00:00:00 375727 398162 94.37 318731 253279 \n",
"27 2021-09-08 00:00:00 672625 701492 95.88 215750 183224 \n",
"28 2021-09-09 00:00:00 322761 292585 110.31 261144 216671 \n",
"29 2021-09-10 00:00:00 321912 266189 120.93 294188 213482 \n",
"30 2021-09-13 00:00:00 286364 239503 119.57 326113 230267 \n",
"31 2021-09-14 00:00:00 353299 294284 120.05 342375 249609 \n",
"32 2021-09-15 00:00:00 568878 586676 96.97 93336 80856 \n",
"33 2021-09-16 00:00:00 194346 211453 91.91 144226 139071 \n",
"34 2021-09-17 00:00:00 279216 261868 106.62 177380 158485 \n",
"35 2021-09-22 00:00:00 491303 565870 86.82 121732 114407 \n",
"36 2021-09-23 00:00:00 209553 197438 106.14 168356 150273 \n",
"37 2021-09-24 00:00:00 239690 223569 107.21 198411 178111 \n",
"\n",
" 買賣權未平倉量比率% 買賣權未平倉量比率差% \n",
"0 118.08 18.08 \n",
"1 119.85 19.85 \n",
"2 113.52 13.52 \n",
"3 125.41 25.41 \n",
"4 124.50 24.50 \n",
"5 120.23 20.23 \n",
"6 106.17 6.17 \n",
"7 103.49 3.49 \n",
"8 100.83 0.83 \n",
"9 91.92 -8.08 \n",
"10 84.79 -15.21 \n",
"11 79.16 -20.84 \n",
"12 113.14 13.14 \n",
"13 80.64 -19.36 \n",
"14 83.29 -16.71 \n",
"15 116.28 16.28 \n",
"16 117.78 17.78 \n",
"17 115.50 15.50 \n",
"18 108.49 8.49 \n",
"19 123.13 23.13 \n",
"20 133.96 33.96 \n",
"21 138.82 38.82 \n",
"22 121.57 21.57 \n",
"23 112.85 12.85 \n",
"24 128.59 28.59 \n",
"25 128.94 28.94 \n",
"26 125.84 25.84 \n",
"27 117.75 17.75 \n",
"28 120.53 20.53 \n",
"29 137.80 37.80 \n",
"30 141.62 41.62 \n",
"31 137.16 37.16 \n",
"32 115.43 15.43 \n",
"33 103.71 3.71 \n",
"34 111.92 11.92 \n",
"35 106.40 6.40 \n",
"36 112.03 12.03 \n",
"37 111.40 11.40 "
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_pc"
]
},
{
"cell_type": "markdown",
"id": "b350edf1-82d9-47a2-942d-0b6a93065383",
"metadata": {},
"source": [
"# Part 2: 下載台股加權股價指數歷史資料\n",
"- 股海小英雄youtube影片：[【Python 爬蟲】台股市場成交資訊免費下載｜從成交量判斷大盤進出點](https://youtu.be/JXGl6pfvB-o)\n",
"- 資料來源：[台灣證交所 每日市場成交資訊](https://www.twse.com.tw/zh/page/trading/exchange/FMTQIK.html)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "17e3c18e-9634-49d9-aff2-38c7c185bd9a",
"metadata": {},
"outputs": [],
"source": [
"def get_tw_market_data(start_year, start_month, end_year, end_month):\n",
" start_date = str(date(start_year, start_month, 1))\n",
" end_date = str(date(end_year, end_month, 1))\n",
" month_list = pd.date_range(start_date, end_date, freq='MS').strftime(\"%Y%m%d\").tolist()\n",
" \n",
" df = pd.DataFrame()\n",
" for month in month_list:\n",
" url = \"https://www.twse.com.tw/exchangeReport/FMTQIK?response=json&date=\"+ month\n",
" res = r.get(url)\n",
" stock_json = res.json()\n",
" stock_df = pd.DataFrame.from_dict(stock_json['data'])\n",
" df = df.append(stock_df, ignore_index = True)\n",
" \n",
" # 資料轉型\n",
" for col in [0, 1, 2, 3, 4]:\n",
" for row in range(df.shape[0]):\n",
" # 把\"日期\"從字串(string)換成時間(datetime)，並將民國年換成西元年\n",
" if col == 0:\n",
" day = df.iloc[row,0].split('/')\n",
" df.iloc[row, 0] = datetime(int(day[0]) + 1911, int(day[1]), int(day[2])) \n",
" # 把\"開盤價\", \"最高價\", \"最低價\", \"收盤價\"帶有逗號的字串(string)換成浮點數(float) \n",
" elif col != 0:\n",
" df.iloc[row, col] = float(df.iloc[row,col].replace(',', ''))\n",
" \n",
" df.columns = ['日期', '成交股數', '成交金額', '成交筆數', '發行量股價加權指數', '漲跌點數']\n",
" return df"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "dca7308e-3e61-4e7f-8359-6fb44fce2cff",
"metadata": {},
"outputs": [
{
"data": {
"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>日期</th>\n",
" <th>成交股數</th>\n",
" <th>成交金額</th>\n",
" <th>成交筆數</th>\n",
" <th>發行量股價加權指數</th>\n",
" <th>漲跌點數</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2021-08-02 00:00:00</td>\n",
" <td>8433835543.0</td>\n",
" <td>440189515085.0</td>\n",
" <td>2581704.0</td>\n",
" <td>17503.28</td>\n",
" <td>255.87</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2021-08-03 00:00:00</td>\n",
" <td>7297083331.0</td>\n",
" <td>390300020287.0</td>\n",
" <td>2300155.0</td>\n",
" <td>17553.76</td>\n",
" <td>50.48</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2021-08-04 00:00:00</td>\n",
" <td>8674006828.0</td>\n",
" <td>379090333818.0</td>\n",
" <td>2535997.0</td>\n",
" <td>17623.89</td>\n",
" <td>70.13</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2021-08-05 00:00:00</td>\n",
" <td>9310147655.0</td>\n",
" <td>385923439915.0</td>\n",
" <td>2803525.0</td>\n",
" <td>17603.12</td>\n",
" <td>-20.77</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2021-08-06 00:00:00</td>\n",
" <td>8507806575.0</td>\n",
" <td>401257559286.0</td>\n",
" <td>2764690.0</td>\n",
" <td>17526.28</td>\n",
" <td>-76.84</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>2021-08-09 00:00:00</td>\n",
" <td>7894068144.0</td>\n",
" <td>352402466708.0</td>\n",
" <td>2493714.0</td>\n",
" <td>17485.15</td>\n",
" <td>-41.13</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>2021-08-10 00:00:00</td>\n",
" <td>7424101809.0</td>\n",
" <td>352995785011.0</td>\n",
" <td>2356807.0</td>\n",
" <td>17323.64</td>\n",
" <td>-161.51</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>2021-08-11 00:00:00</td>\n",
" <td>8485348305.0</td>\n",
" <td>392285506858.0</td>\n",
" <td>2702640.0</td>\n",
" <td>17227.18</td>\n",
" <td>-96.46</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>2021-08-12 00:00:00</td>\n",
" <td>6583768656.0</td>\n",
" <td>322543314397.0</td>\n",
" <td>2063506.0</td>\n",
" <td>17219.94</td>\n",
" <td>-7.24</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>2021-08-13 00:00:00</td>\n",
" <td>8080387820.0</td>\n",
" <td>386639052024.0</td>\n",
" <td>2570094.0</td>\n",
" <td>16982.11</td>\n",
" <td>-237.83</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>2021-08-16 00:00:00</td>\n",
" <td>7549787896.0</td>\n",
" <td>336192844584.0</td>\n",
" <td>2412039.0</td>\n",
" <td>16858.77</td>\n",
" <td>-123.34</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>2021-08-17 00:00:00</td>\n",
" <td>6572397068.0</td>\n",
" <td>299768629334.0</td>\n",
" <td>2172972.0</td>\n",
" <td>16661.36</td>\n",
" <td>-197.41</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>2021-08-18 00:00:00</td>\n",
" <td>8581086550.0</td>\n",
" <td>424297841253.0</td>\n",
" <td>2740916.0</td>\n",
" <td>16826.27</td>\n",
" <td>164.91</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>2021-08-19 00:00:00</td>\n",
" <td>8740931351.0</td>\n",
" <td>438390385364.0</td>\n",
" <td>2953753.0</td>\n",
" <td>16375.4</td>\n",
" <td>-450.87</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>2021-08-20 00:00:00</td>\n",
" <td>7563826027.0</td>\n",
" <td>354803584641.0</td>\n",
" <td>2358046.0</td>\n",
" <td>16341.94</td>\n",
" <td>-33.46</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>2021-08-23 00:00:00</td>\n",
" <td>7336054319.0</td>\n",
" <td>367661958976.0</td>\n",
" <td>2131349.0</td>\n",
" <td>16741.84</td>\n",
" <td>399.90</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>2021-08-24 00:00:00</td>\n",
" <td>8218076194.0</td>\n",
" <td>418124482650.0</td>\n",
" <td>2587550.0</td>\n",
" <td>16818.73</td>\n",
" <td>76.89</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>2021-08-25 00:00:00</td>\n",
" <td>7220691717.0</td>\n",
" <td>364041511681.0</td>\n",
" <td>2250083.0</td>\n",
" <td>17045.86</td>\n",
" <td>227.13</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>2021-08-26 00:00:00</td>\n",
" <td>7176067004.0</td>\n",
" <td>377161165125.0</td>\n",
" <td>2300304.0</td>\n",
" <td>17066.96</td>\n",
" <td>21.10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>2021-08-27 00:00:00</td>\n",
" <td>6876549054.0</td>\n",
" <td>320002450972.0</td>\n",
" <td>2061715.0</td>\n",
" <td>17209.93</td>\n",
" <td>142.97</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>2021-08-30 00:00:00</td>\n",
" <td>6286680713.0</td>\n",
" <td>274916258264.0</td>\n",
" <td>1852473.0</td>\n",
" <td>17396.52</td>\n",
" <td>186.59</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>2021-08-31 00:00:00</td>\n",
" <td>7594890429.0</td>\n",
" <td>345142070590.0</td>\n",
" <td>2051856.0</td>\n",
" <td>17490.29</td>\n",
" <td>93.77</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>2021-09-01 00:00:00</td>\n",
" <td>7417302954.0</td>\n",
" <td>365348125049.0</td>\n",
" <td>2348742.0</td>\n",
" <td>17473.99</td>\n",
" <td>-16.30</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>2021-09-02 00:00:00</td>\n",
" <td>7363528319.0</td>\n",
" <td>354658918739.0</td>\n",
" <td>2367548.0</td>\n",
" <td>17319.76</td>\n",
" <td>-154.23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>2021-09-03 00:00:00</td>\n",
" <td>7417361078.0</td>\n",
" <td>366252454304.0</td>\n",
" <td>2309735.0</td>\n",
" <td>17516.92</td>\n",
" <td>197.16</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>2021-09-06 00:00:00</td>\n",
" <td>8125514641.0</td>\n",
" <td>380807908396.0</td>\n",
" <td>2551101.0</td>\n",
" <td>17495.3</td>\n",
" <td>-21.62</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>2021-09-07 00:00:00</td>\n",
" <td>6809125095.0</td>\n",
" <td>337806586675.0</td>\n",
" <td>2159870.0</td>\n",
" <td>17428.87</td>\n",
" <td>-66.43</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>2021-09-08 00:00:00</td>\n",
" <td>6716726562.0</td>\n",
" <td>325685541312.0</td>\n",
" <td>2204512.0</td>\n",
" <td>17270.49</td>\n",
" <td>-158.38</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>2021-09-09 00:00:00</td>\n",
" <td>5177907252.0</td>\n",
" <td>246914721428.0</td>\n",
" <td>1644144.0</td>\n",
" <td>17304.33</td>\n",
" <td>33.84</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>2021-09-10 00:00:00</td>\n",
" <td>5898868907.0</td>\n",
" <td>268550691237.0</td>\n",
" <td>1765201.0</td>\n",
" <td>17474.57</td>\n",
" <td>170.24</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>2021-09-13 00:00:00</td>\n",
" <td>5932740401.0</td>\n",
" <td>260743193791.0</td>\n",
" <td>1837328.0</td>\n",
" <td>17446.31</td>\n",
" <td>-28.26</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>2021-09-14 00:00:00</td>\n",
" <td>5669147686.0</td>\n",
" <td>261864808382.0</td>\n",
" <td>1863142.0</td>\n",
" <td>17434.9</td>\n",
" <td>-11.41</td>\n",
" </tr>\n",
" <tr>\n",
" <th>32</th>\n",
" <td>2021-09-15 00:00:00</td>\n",
" <td>5732189159.0</td>\n",
" <td>269826160399.0</td>\n",
" <td>1935541.0</td>\n",
" <td>17354.0</td>\n",
" <td>-80.90</td>\n",
" </tr>\n",
" <tr>\n",
" <th>33</th>\n",
" <td>2021-09-16 00:00:00</td>\n",
" <td>5750136284.0</td>\n",
" <td>242577208525.0</td>\n",
" <td>1872875.0</td>\n",
" <td>17278.7</td>\n",
" <td>-75.30</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34</th>\n",
" <td>2021-09-17 00:00:00</td>\n",
" <td>6567681323.0</td>\n",
" <td>316458676884.0</td>\n",
" <td>1948384.0</td>\n",
" <td>17276.79</td>\n",
" <td>-1.91</td>\n",
" </tr>\n",
" <tr>\n",
" <th>35</th>\n",
" <td>2021-09-22 00:00:00</td>\n",
" <td>7253281012.0</td>\n",
" <td>298478639255.0</td>\n",
" <td>2353514.0</td>\n",
" <td>16925.82</td>\n",
" <td>-350.97</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36</th>\n",
" <td>2021-09-23 00:00:00</td>\n",
" <td>5730646954.0</td>\n",
" <td>253840587758.0</td>\n",
" <td>1822103.0</td>\n",
" <td>17078.22</td>\n",
" <td>152.40</td>\n",
" </tr>\n",
" <tr>\n",
" <th>37</th>\n",
" <td>2021-09-24 00:00:00</td>\n",
" <td>6101942091.0</td>\n",
" <td>278917064315.0</td>\n",
" <td>1952491.0</td>\n",
" <td>17260.19</td>\n",
" <td>181.97</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" 日期 成交股數 成交金額 成交筆數 發行量股價加權指數 \\\n",
"0 2021-08-02 00:00:00 8433835543.0 440189515085.0 2581704.0 17503.28 \n",
"1 2021-08-03 00:00:00 7297083331.0 390300020287.0 2300155.0 17553.76 \n",
"2 2021-08-04 00:00:00 8674006828.0 379090333818.0 2535997.0 17623.89 \n",
"3 2021-08-05 00:00:00 9310147655.0 385923439915.0 2803525.0 17603.12 \n",
"4 2021-08-06 00:00:00 8507806575.0 401257559286.0 2764690.0 17526.28 \n",
"5 2021-08-09 00:00:00 7894068144.0 352402466708.0 2493714.0 17485.15 \n",
"6 2021-08-10 00:00:00 7424101809.0 352995785011.0 2356807.0 17323.64 \n",
"7 2021-08-11 00:00:00 8485348305.0 392285506858.0 2702640.0 17227.18 \n",
"8 2021-08-12 00:00:00 6583768656.0 322543314397.0 2063506.0 17219.94 \n",
"9 2021-08-13 00:00:00 8080387820.0 386639052024.0 2570094.0 16982.11 \n",
"10 2021-08-16 00:00:00 7549787896.0 336192844584.0 2412039.0 16858.77 \n",
"11 2021-08-17 00:00:00 6572397068.0 299768629334.0 2172972.0 16661.36 \n",
"12 2021-08-18 00:00:00 8581086550.0 424297841253.0 2740916.0 16826.27 \n",
"13 2021-08-19 00:00:00 8740931351.0 438390385364.0 2953753.0 16375.4 \n",
"14 2021-08-20 00:00:00 7563826027.0 354803584641.0 2358046.0 16341.94 \n",
"15 2021-08-23 00:00:00 7336054319.0 367661958976.0 2131349.0 16741.84 \n",
"16 2021-08-24 00:00:00 8218076194.0 418124482650.0 2587550.0 16818.73 \n",
"17 2021-08-25 00:00:00 7220691717.0 364041511681.0 2250083.0 17045.86 \n",
"18 2021-08-26 00:00:00 7176067004.0 377161165125.0 2300304.0 17066.96 \n",
"19 2021-08-27 00:00:00 6876549054.0 320002450972.0 2061715.0 17209.93 \n",
"20 2021-08-30 00:00:00 6286680713.0 274916258264.0 1852473.0 17396.52 \n",
"21 2021-08-31 00:00:00 7594890429.0 345142070590.0 2051856.0 17490.29 \n",
"22 2021-09-01 00:00:00 7417302954.0 365348125049.0 2348742.0 17473.99 \n",
"23 2021-09-02 00:00:00 7363528319.0 354658918739.0 2367548.0 17319.76 \n",
"24 2021-09-03 00:00:00 7417361078.0 366252454304.0 2309735.0 17516.92 \n",
"25 2021-09-06 00:00:00 8125514641.0 380807908396.0 2551101.0 17495.3 \n",
"26 2021-09-07 00:00:00 6809125095.0 337806586675.0 2159870.0 17428.87 \n",
"27 2021-09-08 00:00:00 6716726562.0 325685541312.0 2204512.0 17270.49 \n",
"28 2021-09-09 00:00:00 5177907252.0 246914721428.0 1644144.0 17304.33 \n",
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"31 2021-09-14 00:00:00 5669147686.0 261864808382.0 1863142.0 17434.9 \n",
"32 2021-09-15 00:00:00 5732189159.0 269826160399.0 1935541.0 17354.0 \n",
"33 2021-09-16 00:00:00 5750136284.0 242577208525.0 1872875.0 17278.7 \n",
"34 2021-09-17 00:00:00 6567681323.0 316458676884.0 1948384.0 17276.79 \n",
"35 2021-09-22 00:00:00 7253281012.0 298478639255.0 2353514.0 16925.82 \n",
"36 2021-09-23 00:00:00 5730646954.0 253840587758.0 1822103.0 17078.22 \n",
"37 2021-09-24 00:00:00 6101942091.0 278917064315.0 1952491.0 17260.19 \n",
"\n",
" 漲跌點數 \n",
"0 255.87 \n",
"1 50.48 \n",
"2 70.13 \n",
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"20 186.59 \n",
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"zerolinewidth": 2
}
}
},
"title": {
"text": "Put/Call 未平倉比率圖",
"x": 0.3
},
"width": 1000,
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
0.94
],
"range": [
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"2021-09-24 12:00"
],
"rangebreaks": [
{
"bounds": [
6,
1
],
"pattern": "day of week"
}
],
"title": {
"text": "日期"
},
"type": "date"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
-24.310000000000002,
45.09
],
"showgrid": false,
"title": {
"text": "Put/Call 未平倉量比率差%"
},
"type": "linear"
},
"yaxis2": {
"anchor": "x",
"autorange": true,
"overlaying": "y",
"range": [
16270.720555555556,
17695.109444444442
],
"showgrid": false,
"side": "right",
"title": {
"text": "發行量股價加權指數"
},
"type": "linear"
}
}
},
"image/png": 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"source": [
"# 設定圖有兩個y軸\n",
"fig = make_subplots(specs=[[{\"secondary_y\": True}]])\n",
"\n",
"# 畫長條圖\n",
"fig.add_trace(go.Bar(x = df_pc['日期'],\n",
" y = df_pc['買賣權未平倉量比率差%'],\n",
" name = '選擇權 put/call 未平倉比率差%',\n",
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" go.Scatter(x = df_market['日期'], \n",
" y = df_market['發行量股價加權指數'], \n",
" name = \"發行量股價加權指數\", \n",
" line = dict(color = \"red\", width = 2)),\n",
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"\n",
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"\n",
"fig.update_xaxes(title_text = \"日期\",\n",
" rangebreaks = [{ 'pattern': 'day of week', 'bounds': [6, 1]}])\n",
"\n",
"fig.update_yaxes(showgrid = False, \n",
" title_text = \"Put/Call 未平倉量比率差%\",\n",
" secondary_y = False)\n",
"\n",
"fig.update_yaxes(showgrid = False, \n",
" title_text = \"發行量股價加權指數\",\n",
" secondary_y = True)\n",
"\n",
"\n",
"# 設定圖的標題跟長寬\n",
"fig.update_layout(title_text = \"Put/Call 未平倉比率圖\", \n",
" title_x = 0.3,\n",
" width = 1000, \n",
" height = 800)\n",
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