{"id":16978,"date":"2022-09-08T00:55:13","date_gmt":"2022-09-07T16:55:13","guid":{"rendered":"https:\/\/www.tejwin.com\/?post_type=insight&#038;p=16978"},"modified":"2024-06-17T11:27:06","modified_gmt":"2024-06-17T03:27:06","slug":"the-sweet-period-of-emerging-stock-to-listed-stock","status":"publish","type":"insight","link":"https:\/\/tejwin20260323.j.webweb.today\/en\/insight\/the-sweet-period-of-emerging-stock-to-listed-stock\/","title":{"rendered":"The sweet period of emerging stock to listed stock"},"content":{"rendered":"\n<p id=\"98b4\">We calculate the win rate and return by industry for the emerging market to listed market. As opposed to the company releasing news \u2014 the event day study that will apply to the listed market.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter caption-align-center\"><img decoding=\"async\" src=\"https:\/\/tejwin20260323.j.webweb.today\/wp-content\/uploads\/1_1eVqJpOtUjvH20TgFm0uNOA.jpg\" alt=\"\"\/><figcaption class=\"wp-element-caption\">Photo by&nbsp;<a href=\"https:\/\/unsplash.com\/@theyshane?utm_source=unsplash&amp;utm_medium=referral&amp;utm_content=creditCopyText\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"ek-link\">Shane<\/a>&nbsp;on&nbsp;<a href=\"https:\/\/unsplash.com\/s\/photos\/wealth?utm_source=unsplash&amp;utm_medium=referral&amp;utm_content=creditCopyText%22+%5Ct+%22_blank\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"ek-link\">Unsplash<\/a><\/figcaption><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"051c\"><strong>Key Words\uff1aPre IPO\u3001Sweet Period<\/strong><\/h4>\n\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_81 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-6a111b4a3df52\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"ez-toc-cssicon\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a111b4a3df52\"  aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/tejwin20260323.j.webweb.today\/en\/insight\/the-sweet-period-of-emerging-stock-to-listed-stock\/#Highlights\" >Highlights<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/tejwin20260323.j.webweb.today\/en\/insight\/the-sweet-period-of-emerging-stock-to-listed-stock\/#Preface\" >Preface<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/tejwin20260323.j.webweb.today\/en\/insight\/the-sweet-period-of-emerging-stock-to-listed-stock\/#The_Editing_Environment_and_Modules_Required\" >The Editing Environment and Modules Required<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/tejwin20260323.j.webweb.today\/en\/insight\/the-sweet-period-of-emerging-stock-to-listed-stock\/#Database\" >Database<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/tejwin20260323.j.webweb.today\/en\/insight\/the-sweet-period-of-emerging-stock-to-listed-stock\/#Data_selection\" >Data selection<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/tejwin20260323.j.webweb.today\/en\/insight\/the-sweet-period-of-emerging-stock-to-listed-stock\/#Conclusion\" >Conclusion<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/tejwin20260323.j.webweb.today\/en\/insight\/the-sweet-period-of-emerging-stock-to-listed-stock\/#Full_Code\" >Full Code<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/tejwin20260323.j.webweb.today\/en\/insight\/the-sweet-period-of-emerging-stock-to-listed-stock\/#Extended_Reading\" >Extended Reading<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/tejwin20260323.j.webweb.today\/en\/insight\/the-sweet-period-of-emerging-stock-to-listed-stock\/#Related_Link\" >Related Link<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\" id=\"36f0\"><span class=\"ez-toc-section\" id=\"Highlights\"><\/span><strong>Highlights<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p id=\"d792\">Difficulty: \u2605\u2605\u2606\u2606\u2606<\/p>\n\n\n\n<p id=\"189e\">Advice: This article use Python to select and classify data, then implement the visualization, which required the readers to have the basic knowledge of visualization and programming.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"de94\"><span class=\"ez-toc-section\" id=\"Preface\"><\/span><strong>Preface<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p id=\"add4\">There are some common investment method or trading strategies in investment forums, such as following institutional investors. Today, we would like to explore whether the \u2018\u2019sweet period\u2019\u2019 are efficient for trading, or just a fallacy.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"9947\"><span class=\"ez-toc-section\" id=\"The_Editing_Environment_and_Modules_Required\"><\/span><strong>The Editing Environment and Modules Required<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p id=\"8732\">Window10 Spyder<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">import numpy as np<br>import pandas as pd<br>import matplotlib.pyplot as plt<br>plt.rcParams['axes.unicode_minus'] = False<br>plt.rcParams['font.sans-serif'] = ['Microsoft JhengHei']import tejapi<br>import time<br>tejapi.ApiConfig.api_key=\"YOUR KEY\"<br>tejapi.ApiConfig.ignoretz = True<\/pre>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"2c0c\"><span class=\"ez-toc-section\" id=\"Database\"><\/span><strong>Database<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p id=\"b91e\"><a href=\"https:\/\/api.tej.com.tw\/columns.html?idCode=TWN%2FAIND\" rel=\"noreferrer noopener\" target=\"_blank\"><strong>TEJ API company information:<\/strong>&nbsp;<\/a>Code is (TWN\/AIND), \u2019\u2019TSE industry\u2019\u2019<\/p>\n\n\n\n<p id=\"6a74\"><a href=\"https:\/\/tejwin20260323.j.webweb.today\/service-provide-method\/\" target=\"_blank\" aria-label=\" (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\"><strong>TEJ PRO database:<\/strong><\/a><strong>\u00a0<\/strong>IPO of newly listed company<\/p>\n<\/blockquote>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"959f\"><span class=\"ez-toc-section\" id=\"Data_selection\"><\/span><strong>Data selection<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p id=\"9c9e\">The data is taken from the TEJ PRO database and the period is from 1970 to 2022.<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">df = pd.read_excel('C:\/Users\/user\/Desktop\/Tej\/PreIPO.xlsx')<\/pre>\n\n\n\n<figure class=\"wp-block-image aligncenter\"><img decoding=\"async\" src=\"https:\/\/tejwin20260323.j.webweb.today\/wp-content\/uploads\/097TAn7GUCKDZCOBK.png\" alt=\"\"\/><figcaption class=\"wp-element-caption\">part of data<\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image aligncenter\"><img decoding=\"async\" src=\"https:\/\/tejwin20260323.j.webweb.today\/wp-content\/uploads\/0byfzM6MeCaDSWSKa.png\" alt=\"\"\/><figcaption class=\"wp-element-caption\">part of data<\/figcaption><\/figure>\n\n\n\n<p id=\"e1fe\">First, select the required data field, then create a Dataframe(A3) to calculate the returns. Finally, rename the field to returns, delete the first day close price and merge the company name and code.<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">A1 = df[['\u4ee3\u865f','\u540d\u7a31','\u4e0a\u5e02\u65e5\u6536\u76e4\u50f9(\u5143)','\u4e0a\u5e02\u65e5\u5f8c\u4e00\u5929\u6536\u76e4\u50f9(\u5143)','\u4e0a\u5e02\u65e5\u5f8c\u4e8c\u5929\u6536\u76e4\u50f9(\u5143)','\u4e0a\u5e02\u65e5\u5f8c\u4e09\u5929\u6536\u76e4\u50f9(\u5143)','\u4e0a\u5e02\u65e5\u5f8c\u56db\u5929\u6536\u76e4\u50f9(\u5143)','\u4e0a\u5e02\u65e5\u5f8c\u4e94\u5929\u6536\u76e4\u50f9(\u5143)']]A2 = A1[['\u4e0a\u5e02\u65e5\u6536\u76e4\u50f9(\u5143)','\u4e0a\u5e02\u65e5\u5f8c\u4e00\u5929\u6536\u76e4\u50f9(\u5143)','\u4e0a\u5e02\u65e5\u5f8c\u4e8c\u5929\u6536\u76e4\u50f9(\u5143)','\u4e0a\u5e02\u65e5\u5f8c\u4e09\u5929\u6536\u76e4\u50f9(\u5143)','\u4e0a\u5e02\u65e5\u5f8c\u56db\u5929\u6536\u76e4\u50f9(\u5143)','\u4e0a\u5e02\u65e5\u5f8c\u4e94\u5929\u6536\u76e4\u50f9(\u5143)']]A3 = A2.copy()for i in range(1, len(A2.columns)):<br>    A3.iloc[:,i:i+1] = ((A2.iloc[:,i:i+1].values)\/(A2.iloc[:,0:1].values))-1A3 = A3.rename(columns={'\u4e0a\u5e02\u65e5\u5f8c\u4e00\u5929\u6536\u76e4\u50f9(\u5143)' : '\u5f8c\u4e00\u65e5\u7d2f\u7a4d\u5831\u916c\u7387%',<br>                        '\u4e0a\u5e02\u65e5\u5f8c\u4e8c\u5929\u6536\u76e4\u50f9(\u5143)' : '\u5f8c\u4e8c\u65e5\u7d2f\u7a4d\u5831\u916c\u7387%', <br>                        '\u4e0a\u5e02\u65e5\u5f8c\u4e09\u5929\u6536\u76e4\u50f9(\u5143)' : '\u5f8c\u4e09\u65e5\u7d2f\u7a4d\u5831\u916c\u7387%', <br>                        '\u4e0a\u5e02\u65e5\u5f8c\u56db\u5929\u6536\u76e4\u50f9(\u5143)' : '\u5f8c\u56db\u65e5\u7d2f\u7a4d\u5831\u916c\u7387%', <br>                        '\u4e0a\u5e02\u65e5\u5f8c\u4e94\u5929\u6536\u76e4\u50f9(\u5143)' : '\u5f8c\u4e94\u65e5\u7d2f\u7a4d\u5831\u916c\u7387%'}, inplace = False)data = A3.drop('\u4e0a\u5e02\u65e5\u6536\u76e4\u50f9(\u5143)',axis=1)<br>data1 = A1.join(data, how = \"left\")<\/pre>\n\n\n\n<figure class=\"wp-block-image aligncenter\"><img decoding=\"async\" src=\"https:\/\/tejwin20260323.j.webweb.today\/wp-content\/uploads\/0P1aFHTITffafDxcJ.png\" alt=\"\"\/><figcaption class=\"wp-element-caption\">returns<\/figcaption><\/figure>\n\n\n\n<p id=\"b045\">The we make a list with code name to obtain the TEJ API industry, and change the company name to code name, which is convenient for us to merge data. Among them, some special industry must be deleted, because there may be too few sample or special properties is excluded.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter\"><img decoding=\"async\" src=\"https:\/\/tejwin20260323.j.webweb.today\/wp-content\/uploads\/0dQ8lWNyYgu4AKgxz.png\" alt=\"\"\/><\/figure>\n\n\n\n<pre class=\"wp-block-preformatted\">Company = A1['\u4ee3\u865f'].to_list()<br>Detail = tejapi.get('TWN\/AIND', chinese_column_name = True , paginate = True, coid = Company,<br>                    opts={'columns':['coid','ind1']}) # \u820a\u7522\u696d\u540dDetail = Detail.rename(columns={\"\u516c\u53f8\u7c21\u7a31\" : \"\u4ee3\u865f\"}, inplace = False)qq = Detail[Detail['TSE \u7522\u696d\u5225'] != \"17\" ]<br>qq = qq[qq['TSE \u7522\u696d\u5225'] != \"14\" ]<br>qq = qq[qq['TSE \u7522\u696d\u5225'] != \"19\" ]<br>qq = qq[qq['TSE \u7522\u696d\u5225'] != \"20\" ]<br>qq = qq[qq['TSE \u7522\u696d\u5225'] != \"80\" ]<br>qq = qq[qq['TSE \u7522\u696d\u5225'] != \"32\" ]<br>qq = qq[qq['TSE \u7522\u696d\u5225'] != \"33\" ]<br>qq = qq[qq['TSE \u7522\u696d\u5225'] != \"34\" ]<br>qq = qq[qq['TSE \u7522\u696d\u5225'] != \"91\" ]<\/pre>\n\n\n\n<p id=\"488e\">Finally, the filtered industry will be combined with the previously calculated returns to obtain the company that we need to successfully listed.<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">PreIPO = data1.merge(qq, on='\u4ee3\u865f')<\/pre>\n\n\n\n<p id=\"43d0\">First, we should delete the NA data, and use the industry as a target to calculate the win rate separately. The win rate is that as long as the returns is positive and divided the total company of the industry.<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">PreIPO = PreIPO.dropna(axis=0,how='any')industry_name = np.unique(PreIPO[['TSE \u7522\u696d\u5225']])payoff = np.array(['\u5f8c\u4e00\u65e5\u7d2f\u7a4d\u5831\u916c\u7387%','\u5f8c\u4e8c\u65e5\u7d2f\u7a4d\u5831\u916c\u7387%','\u5f8c\u4e09\u65e5\u7d2f\u7a4d\u5831\u916c\u7387%','\u5f8c\u56db\u65e5\u7d2f\u7a4d\u5831\u916c\u7387%','\u5f8c\u4e94\u65e5\u7d2f\u7a4d\u5831\u916c\u7387%'])industry_number = len(PreIPO.groupby('TSE \u7522\u696d\u5225').count())save_IPO = list()<br>for i in range(industry_number):<br>    for j in range(len(payoff)):        <br>        positive_payoff = len(PreIPO[(PreIPO['TSE \u7522\u696d\u5225'] == industry_name[i]) &amp; (PreIPO[payoff[j]] &gt; 0)])<br>        total_number = len(PreIPO[(PreIPO['TSE \u7522\u696d\u5225'] == industry_name[i])])<br>        save_IPO.append(f'{round(positive_payoff\/total_number*100,2)}')<\/pre>\n\n\n\n<p id=\"6a3e\">Next, draw a picture. Read the complete code of the last page for the detail code.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter\"><img decoding=\"async\" src=\"https:\/\/tejwin20260323.j.webweb.today\/wp-content\/uploads\/0u5TRX974hRfVTkc3.jpg\" alt=\"\"\/><\/figure>\n\n\n\n<p id=\"2369\">The picture express that the&nbsp;<strong>win rate<\/strong>&nbsp;of the industry, because the data will be more difficult to check if we it is displayed in Chinese, it may be squeezed together, so the editor write down the adjustment time. We find that the highest win rate industry is electrical cables. If investors pursue the win rate as efficiency, they can refer the results of this chart.<\/p>\n\n\n\n<p id=\"322b\">Next, we calculate the industry&nbsp;<strong>average returns.<\/strong><\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">PreIPO = PreIPO.dropna(axis=0,how='any')industry_name = np.unique(PreIPO[['TSE \u7522\u696d\u5225']])payoff = np.array(['\u5f8c\u4e00\u65e5\u7d2f\u7a4d\u5831\u916c\u7387%','\u5f8c\u4e8c\u65e5\u7d2f\u7a4d\u5831\u916c\u7387%','\u5f8c\u4e09\u65e5\u7d2f\u7a4d\u5831\u916c\u7387%','\u5f8c\u56db\u65e5\u7d2f\u7a4d\u5831\u916c\u7387%','\u5f8c\u4e94\u65e5\u7d2f\u7a4d\u5831\u916c\u7387%'])industry_number = len(PreIPO.groupby('TSE \u7522\u696d\u5225').count())save_IPO = list()for i in range(industry_number):<br>    for j in range(len(payoff)):        <br>        industry_payoff = PreIPO[payoff[j]][PreIPO['TSE \u7522\u696d\u5225']==industry_name[i]].mean()save_IPO.append(f'{round(industry_payoff*100,2)}')<\/pre>\n\n\n\n<figure class=\"wp-block-image aligncenter\"><img decoding=\"async\" src=\"https:\/\/tejwin20260323.j.webweb.today\/wp-content\/uploads\/0dPfDgJ4B5fXi2e6e.jpg\" alt=\"\"\/><\/figure>\n\n\n\n<p id=\"6c9b\">We find that the higher returns depending on the numbers of the days in some industry, and the others fluctuates smaller. In terms of the electrical cables industry with the highest win rate, its win rate is high and the standard deviation is small. However, the rubber industry which the win rate is similar to the electrical cable industry, the volatility is higher than the electrical cable industry.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"539b\"><span class=\"ez-toc-section\" id=\"Conclusion\"><\/span><strong>Conclusion<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p id=\"7fcd\">If we choose to use this investment strategy to carry out short-term operation, we can filter our suitable style. If we want to bear the volatility to obtain returns or maintain the win rate. This article would let readers know that the sweet period is exist, and it can be used to an investment strategy. We also find that the sweet period is not applicable to all industry when we subdivide the industry. It\u2019s still suggested investor to do more analysis, which is less likely to loss in investment.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"185e\"><span class=\"ez-toc-section\" id=\"Full_Code\"><\/span><strong>Full Code<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/gist.github.com\/tej87681088\/7c8d48dbba307f0d36fd2cb0b7fca689#file-medium_-_pre-ipo-py\" class=\"ek-link\" target=\"_blank\" rel=\"noopener\">Click here to go Github<\/a><\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"85c1\"><span class=\"ez-toc-section\" id=\"Extended_Reading\"><\/span><strong>Extended Reading<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/tejwin20260323.j.webweb.today\/en\/insight\/prediction-of-portfolio-performance\/\" class=\"ek-link\">Prediction of Portfolio Performance<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/tejwin20260323.j.webweb.today\/en\/insight\/lasso-regression-model\/\" class=\"ek-link\">Lasso Regression Model<\/a><\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"5a04\"><span class=\"ez-toc-section\" id=\"Related_Link\"><\/span>Related Link<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/api.tej.com.tw\/index.html\" rel=\"noreferrer noopener\" target=\"_blank\">TEJ API<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/eshop.tej.com.tw\/E-Shop\/Edata_intro\" rel=\"noreferrer noopener\" target=\"_blank\">TEJ E-Shop<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>We calculate the win rate and return by industry for the emerging market to listed market. As opposed to the company releasing news \u2014 the event day study that will apply to the listed market. Key Words\uff1aPre IPO\u3001Sweet Period Highlights Difficulty: \u2605\u2605\u2606\u2606\u2606 Advice: This article use Python to select and classify data, then implement the [&hellip;]<\/p>\n","protected":false},"featured_media":16980,"template":"","tags":[2371,3008],"insight-category":[690,50],"class_list":["post-16978","insight","type-insight","status-publish","has-post-thumbnail","hentry","tag-python","tag-tejapi-quant","insight-category-data-analysis","insight-category-fintech"],"acf":[],"_links":{"self":[{"href":"https:\/\/tejwin20260323.j.webweb.today\/en\/wp-json\/wp\/v2\/insight\/16978","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tejwin20260323.j.webweb.today\/en\/wp-json\/wp\/v2\/insight"}],"about":[{"href":"https:\/\/tejwin20260323.j.webweb.today\/en\/wp-json\/wp\/v2\/types\/insight"}],"version-history":[{"count":1,"href":"https:\/\/tejwin20260323.j.webweb.today\/en\/wp-json\/wp\/v2\/insight\/16978\/revisions"}],"predecessor-version":[{"id":24240,"href":"https:\/\/tejwin20260323.j.webweb.today\/en\/wp-json\/wp\/v2\/insight\/16978\/revisions\/24240"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/tejwin20260323.j.webweb.today\/en\/wp-json\/wp\/v2\/media\/16980"}],"wp:attachment":[{"href":"https:\/\/tejwin20260323.j.webweb.today\/en\/wp-json\/wp\/v2\/media?parent=16978"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tejwin20260323.j.webweb.today\/en\/wp-json\/wp\/v2\/tags?post=16978"},{"taxonomy":"insight-category","embeddable":true,"href":"https:\/\/tejwin20260323.j.webweb.today\/en\/wp-json\/wp\/v2\/insight-category?post=16978"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}