{"id":961,"date":"2025-08-13T14:00:00","date_gmt":"2025-08-13T14:00:00","guid":{"rendered":"https:\/\/www.tejwin.com\/en\/insights\/turning-sector-rotation-into-strategy-applying-industry-sequencing-to-build-a-quantitative-backtesting-model\/"},"modified":"2025-08-13T14:00:00","modified_gmt":"2025-08-13T14:00:00","slug":"turning-sector-rotation-into-strategy-applying-industry-sequencing-to-build-a-quantitative-backtesting-model","status":"publish","type":"insight","link":"https:\/\/www.tejwin.com\/en\/insights\/turning-sector-rotation-into-strategy-applying-industry-sequencing-to-build-a-quantitative-backtesting-model\/","title":{"rendered":"Turning Industry Rotation into Alpha: A Quant Backtest Strategy"},"content":{"rendered":"<figure class=\"wp-block-image aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" alt=\"\u7522\u696d\u8f2a\u52d5\" class=\"wp-image-35138\" height=\"683\" src=\"https:\/\/www.tejwin.com\/en\/wp-content\/uploads\/2026\/08\/christian-wiediger-c3ZWXOv1Ndc-unsplash.jpg\" width=\"1024\"\/><figcaption class=\"wp-element-caption\">Photo by <a href=\"https:\/\/unsplash.com\/@christianw?utm_content=creditCopyText&amp;utm_medium=referral&amp;utm_source=unsplash\" rel=\"noopener\" target=\"_blank\">Christian Wiediger<\/a> on <a href=\"https:\/\/unsplash.com\/photos\/a-close-up-of-the-cpu-board-of-a-computer-c3ZWXOv1Ndc?utm_content=creditCopyText&amp;utm_medium=referral&amp;utm_source=unsplash\" rel=\"noopener\" target=\"_blank\">Unsplash<\/a><\/figcaption><\/figure>\n<h2 class=\"wp-block-heading\"><strong>Introduction<\/strong><\/h2>\n<p class=\"has-text-align-left wp-block-paragraph\">In our previous article\u201d <strong><a data-id=\"https:\/\/www.tejwin.com\/en\/insight\/industry-rotation-shipping-semiconductors\/\" data-type=\"link\" href=\"\/en\/insight\/industry-rotation-shipping-semiconductors\/\">Shipping Leads, Semiconductors Follow? <\/a><\/strong> \u201cwe identified a recurring pattern in Taiwan\u2019s market: rallies in the<mark class=\"has-inline-color has-luminous-vivid-orange-color\" style=\"background-color:rgba(0, 0, 0, 0)\"><strong> shipping sector <\/strong><\/mark>often precede gains in <strong><mark class=\"has-inline-color has-luminous-vivid-orange-color\" style=\"background-color:rgba(0, 0, 0, 0)\">semiconductor stocks<\/mark><\/strong>. This article builds on that insight by transforming the observed rotation sequence into a quantitative investment strategy.<\/p>\n<p class=\"has-text-align-left wp-block-paragraph\">By combining sector momentum signals, macroeconomic indicators, and rule-based allocation logic, we construct a backtesting model to simulate historical trades. The goal is to evaluate whether this \u201cShipping \u2192 Semiconductors\u201d signal\u2014when used within a broader economic context\u2014can deliver consistent excess returns.<\/p>\n<h2 class=\"wp-block-heading\">Visualization of Industry RSI Values<\/h2>\n<p class=\"has-text-align-center wp-block-paragraph\"><strong><img decoding=\"async\" src=\"https:\/\/www.tejwin.com\/en\/wp-content\/uploads\/2026\/08\/8_AD_4nXdxNLUbTwldDZogwsO0UIVfwuHnasttKjLjcszKIGbIM9E9lcoJ9jkctNO4Ze1QaZeOU7KTpj7iFj9pldAkpqdu5MA42eeAbcyIwy8dL6uFWHaIiJTJHZv-ZVX5dw5aWkTJnUO1RwkeykFGq1irbjy2lNhrO3F8GkA.png\" style=\"\"\/><\/strong><\/p>\n<p class=\"wp-block-paragraph\">From the analysis presented in the previous article, covering the period from 2012 to early 2020, we can observe a clear rotational relationship between the RSI values of the shipping and semiconductor industries. The next step is to consider how we can leverage this rotational pattern to design a reliable investment strategy. To avoid look-ahead bias, we use post-2020 market data as the subject of our backtesting research, which makes our strategy analysis more robust.<\/p>\n<h2 class=\"wp-block-heading\"><strong>Strategy Logic Explanation: (Combined with Economic Signal Lights)<\/strong><\/h2>\n<p class=\"wp-block-paragraph\">From the article\u00a0<em><a data-id=\"https:\/\/www.tejwin.com\/en\/insight\/from-business-cycle-indicators-to-asset-rotation-a-quantitative-strategy-to-avoid-bear-markets\/\" data-type=\"link\" href=\"\/en\/insight\/from-business-cycle-indicators-to-asset-rotation-a-quantitative-strategy-to-avoid-bear-markets\/\"><strong>\u201cFrom Business Cycle Signal Lights to Asset Rotation<\/strong><\/a>\u201d<\/em>we learned that monitoring indicators can effectively help avoid bear market volatility\u2014<strong><mark class=\"has-inline-color has-luminous-vivid-orange-color\" style=\"background-color:rgba(0, 0, 0, 0)\">holding equities only during bull markets and switching to short-term government bonds or other defensive assets during bear markets<\/mark><\/strong>\u2014while producing favorable backtesting results.<\/p>\n<p class=\"wp-block-paragraph\">Incorporating the observed sector rotation phenomenon\u00a0<em>\u201cShipping \u2192 Semiconductors,\u201d<\/em>\u00a0our strategy proposes that during bull market phases, once a sector rotation signal is detected, the originally held 0050 ETF is temporarily substituted with semiconductor-related stocks. After capturing the excess returns generated from capital rotation, the position is rotated back into the 0050 ETF. The expectation is that this dynamic allocation approach will further enhance the performance outcomes discussed in the earlier study. For benchmarking, the strategy is compared against the TAIEX Total Return Index (IR0001), hereafter referred to as the market index.<\/p>\n<p class=\"wp-block-paragraph\"><strong>Operational Logic:<\/strong><br \/>The strategy activates under two conditions: a bullish macroeconomic phase and a sector rotation signal.<\/p>\n<p class=\"wp-block-paragraph\">When the monitoring indicator signals an upward phase, if the RSI value of the shipping index rises above 65 (indicating that the sector is at a relative high point and the rotation cycle is likely beginning), we initiate positions in representative semiconductor-related stocks. <\/p>\n<p class=\"wp-block-paragraph\">The holdings are maintained until the RSI of the semiconductor index increases by 15 points relative to the entry level (signaling the end of the rotation), at which point the semiconductor positions are closed and rotated back into the 0050 ETF. <\/p>\n<p class=\"wp-block-paragraph\">If the market transitions into a bear phase before the rotation cycle completes, all equity positions are liquidated and shifted into short-term bonds, consistent with the design outlined in the business cycle strategy.<\/p>\n<p class=\"wp-block-paragraph\"><strong>Semiconductor Allocation:<\/strong><br \/>For exposure to the semiconductor sector, we construct a basket of ten representative Taiwan\u2019s semiconductor companies, spanning the full supply chain from upstream foundries to midstream IC design and downstream packaging, testing, and memory:<\/p>\n<ul class=\"wp-block-list\">\n<li><strong>Memory:<\/strong>\u00a0Nanya Technology (2408), Taiwan\u2019s leading DRAM manufacturer, highly correlated with global memory pricing and supply-demand cycles.<\/li>\n<li><strong>Foundries:<\/strong>\u00a0Taiwan Semiconductor Manufacturing Company (TSMC, 2330) and United Microelectronics Corporation (UMC, 2303) represent the leaders in advanced and mature process nodes, respectively; Vanguard International Semiconductor (VIS, 5347) specializes in 8-inch wafers, focusing on niche markets.<\/li>\n<li><strong>IC Design:<\/strong>\u00a0MediaTek (2454), a global leader in mobile and communication chip design; Novatek (3034) and Raydium Semiconductor (4961), both key suppliers of display driver ICs within the panel supply chain.<\/li>\n<li><strong>Packaging &amp; Testing:<\/strong>\u00a0ASE Technology Holding (3711), Powertech Technology (6239), and ChipMOS Technologies (3264), covering back-end packaging and testing services.<\/li>\n<\/ul>\n<p class=\"wp-block-paragraph\">These stocks collectively form the key structure of Taiwan\u2019s semiconductor industry, while also possessing sufficient liquidity and market capitalization, making them suitable for empirical backtesting and portfolio allocation simulations.<\/p>\n<figure class=\"wp-block-image aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" alt=\"\u7522\u696d\u8f2a\u52d5\" class=\"wp-image-35140\" height=\"509\" src=\"https:\/\/www.tejwin.com\/en\/wp-content\/uploads\/2026\/08\/E38492.png\" width=\"1024\"\/><figcaption class=\"wp-element-caption\">Visualization of Monitoring Indicators, 0050 ETF, and U.S. Short-Term Treasury ETFs<\/figcaption><\/figure>\n<div aria-hidden=\"true\" class=\"wp-block-spacer\" style=\"height:25px\"><\/div>\n<h3 class=\"wp-block-heading\"><strong>Strategy Performance Charts &amp; Analysis<\/strong><\/h3>\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" alt=\"\u7522\u696d\u8f2a\u52d5\" class=\"wp-image-35142\" height=\"852\" src=\"https:\/\/www.tejwin.com\/en\/wp-content\/uploads\/2026\/08\/yyy.png\" width=\"1024\"\/><\/figure>\n<p class=\"wp-block-paragraph\">The first performance chart highlights 5 instances of the \u201cShipping \u2192 Semiconductor\u201d rotation signal (marked in orange) detected during the recent bull market. Among them, 4 signals (2nd to 5th) successfully captured strong rallies in semiconductor stocks. The 2nd and 3rd signals\u2014both in 2020\u2014generated the most substantial gains, helping the strategy meaningfully outperform the TAIEX benchmark. While the 4th and 5th signals also aligned with semiconductor uptrends, their marginal outperformance was more limited, as semiconductors had already become the market\u2019s primary growth driver by then.<\/p>\n<p class=\"wp-block-paragraph\">The second chart overlays the business cycle score throughout the backtesting period. Most entry points aligned with the early expansion or recovery phases of the cycle, supporting the strategy\u2019s timing logic: <strong><mark class=\"has-inline-color has-luminous-vivid-orange-color\" style=\"background-color:rgba(0, 0, 0, 0)\">capital rotation tends to accelerate as economic conditions improve.<\/mark><\/strong><\/p>\n<p class=\"wp-block-paragraph\">The third chart presents leverage utilization. Aside from two short-lived spikes to 2.0\u2014caused by portfolio rebalancing during bear transitions\u2014leverage remained close to 1.0 throughout. This indicates that the strategy\u2019s returns were not driven by excessive leverage, and associated risks were well-contained.<\/p>\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" alt=\"\u7522\u696d\u8f2a\u52d5\" class=\"wp-image-35144\" height=\"691\" src=\"https:\/\/www.tejwin.com\/en\/wp-content\/uploads\/2026\/08\/E688AAE59C96-2025-05-20-E4B88BE58D884.39.54.png\" width=\"1024\"\/><\/figure>\n<p class=\"wp-block-paragraph\">Finally, the drawdown chart shows that losses were generally limited to within \u201310%, reflecting strong downside control. The only major exception occurred during the COVID-19 shock in early 2020, when the portfolio\u2014primarily holding the 0050 ETF\u2014faced a temporary drawdown of \u201327%. This episode, driven by a black swan event, does not undermine the overall resilience of the strategy.<\/p>\n<h2 class=\"wp-block-heading\"><strong>Multi-Strategy Comparison<\/strong><\/h2>\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" alt=\"\u7522\u696d\u8f2a\u52d5\" class=\"wp-image-35146\" height=\"564\" src=\"https:\/\/www.tejwin.com\/en\/wp-content\/uploads\/2026\/08\/E38495.png\" width=\"1024\"\/><\/figure>\n<p class=\"wp-block-paragraph\">The chart above presents a comparison of the performance and risk of four different strategies during the backtesting period.<\/p>\n<ul class=\"wp-block-list\">\n<li><strong>Red Line (Ind):<\/strong>\u00a0Represents the\u00a0<em>Industry Rotation Strategy<\/em>\u00a0designed in this study, dynamically adjusted based on the information transmission relationship between shipping and semiconductors.<\/li>\n<li><strong>Blue Line (All Stock):<\/strong>\u00a0A strategy that simply buys semiconductor stocks during bull markets and exits the market once a bear market signal appears.<\/li>\n<li><strong>Purple Line (All ETF):<\/strong>\u00a0A strategy that simply holds the 0050 ETF during bull markets.<\/li>\n<li><strong>Gray Line (Benchmark):<\/strong>\u00a0Represents the TAIEX Total Return Index as the market benchmark.<\/li>\n<\/ul>\n<p class=\"wp-block-paragraph\">From the cumulative return chart, the <strong><mark class=\"has-inline-color has-luminous-vivid-orange-color\" style=\"background-color:rgba(0, 0, 0, 0)\">all-stock strategy (blue line) achieved the highest total return<\/mark><\/strong>, but at the cost of significantly higher volatility. This is confirmed in the volatility chart, where its risk exposure remained consistently elevated across the backtest period.<\/p>\n<p class=\"wp-block-paragraph\">In contrast, the\u00a0<strong><mark class=\"has-inline-color has-luminous-vivid-orange-color\" style=\"background-color:rgba(0, 0, 0, 0)\">Industry Rotation Strategy\u00a0(red line) proposed in this study demonstrated stable performance with effective risk control.<\/mark><\/strong> While its return was slightly lower than the all-stock strategy, it clearly outperformed the ETF-only and benchmark strategies. Volatility was also kept at moderate levels\u2014between the all-stock and all-ETF approaches\u2014striking a healthy balance between upside potential and drawdown management.<\/p>\n<p class=\"wp-block-paragraph\">Importantly, the rotation strategy showed no signs of performance degradation due to rebalancing. On the contrary,<strong><mark class=\"has-inline-color has-luminous-vivid-orange-color\" style=\"background-color:rgba(0, 0, 0, 0)\"> its ability to detect capital flows and time entry\/exit decisions contributed to a smoother equity curve, demonstrating real-world applicability for long-term investors.<\/mark><\/strong><\/p>\n<p class=\"wp-block-paragraph\"><strong>Strategy Comparison Table and Analysis<\/strong><\/p>\n<figure class=\"wp-block-table is-style-stripes\">\n<table>\n<thead>\n<tr>\n<th>Performance Indicators \/ Strategies<\/th>\n<th class=\"has-text-align-right\" data-align=\"right\">Industry Rotation Strategy<\/th>\n<th class=\"has-text-align-right\" data-align=\"right\">Bull Market Semiconductor Strategy<\/th>\n<th class=\"has-text-align-right\" data-align=\"right\">Bull Market 0050 Strategy<\/th>\n<th class=\"has-text-align-right\" data-align=\"right\">Benchmark<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Annualized Return<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">28.58%<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">33.23%<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">21.24%<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">12.047%<\/td>\n<\/tr>\n<tr>\n<td>Cumulative Return<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">257.52%<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">327.48%<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">165.40%<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">77.97%<\/td>\n<\/tr>\n<tr>\n<td>Annualized Volatility<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">16.179%<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">17.21%<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">14.84%<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">18.52%<\/td>\n<\/tr>\n<tr>\n<td>Sharpe Ratio<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">1.64<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">1.75<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">1.37<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">0.71<\/td>\n<\/tr>\n<tr>\n<td>Calmar Ratio<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">1.04<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">0.98<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">0.77<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">0.45<\/td>\n<\/tr>\n<tr>\n<td>Maximum Drawdown Period<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">-27.60%<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">-34.07%<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">-27.60%<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">-26.74%<\/td>\n<\/tr>\n<tr>\n<td>Alpha<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">0.23<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">0.28<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">0.16<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">0<\/td>\n<\/tr>\n<tr>\n<td>Beta<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">0.39<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">0.42<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">0.39<\/td>\n<td class=\"has-text-align-right\" data-align=\"right\">0.93<\/td>\n<\/tr>\n<\/tbody>\n<\/table><figcaption class=\"wp-element-caption\">Note:\u00a0The Calmar ratio is calculated as the annualized return divided by the maximum drawdown over the period. It measures the relationship between return and loss, similar in concept to the Sterling ratio. A higher value indicates better performance.<\/figcaption><\/figure>\n<p class=\"wp-block-paragraph\">\n<p class=\"wp-block-paragraph\">While the all-stock strategy achieved the highest return and Sharpe ratio, it also came with the largest drawdowns and volatility, making it more suitable for investors with higher risk tolerance.<\/p>\n<p class=\"wp-block-paragraph\">In contrast, the Industry Rotation Strategy offers a more balanced profile:<\/p>\n<ul class=\"wp-block-list\">\n<li>Its annualized return of 28.58% significantly outperformed both the 0050 ETF strategy and the market benchmark.<\/li>\n<li>It maintained moderate volatility (16.18%) and a maximum drawdown comparable to the ETF strategy, reflecting effective downside risk control.<\/li>\n<li>It achieved the highest Calmar ratio (1.04) among all four strategies, indicating strong returns relative to its worst-case loss.<\/li>\n<li>The Alpha of 0.23 confirms that it consistently delivered excess returns beyond market exposure, while its low Beta of 0.39 suggests lower sensitivity to overall market fluctuations.<\/li>\n<\/ul>\n<p class=\"wp-block-paragraph\"><strong><mark class=\"has-inline-color has-luminous-vivid-orange-color\" style=\"background-color:rgba(0, 0, 0, 0)\">Overall, the Industry Rotation Strategy successfully balances growth and risk, demonstrating its robustness as a practical and resilient investment approach.<\/mark><\/strong><\/p>\n<p class=\"wp-block-paragraph\"><em>Disclaimer: This analysis is for reference only and does not constitute any product recommendation or investment advice.<\/em><\/p>\n<h2 class=\"wp-block-heading\"><strong>Conclusion: Data-Driven Rotation Strategy, Powered by TEJ<\/strong><\/h2>\n<p class=\"wp-block-paragraph\">This study demonstrates how sector rotation signals\u2014like the lead-lag between shipping and semiconductors\u2014can be turned into a rules-based quantitative strategy with strong performance and controlled risk.<\/p>\n<p class=\"wp-block-paragraph\">Behind every effective strategy is a reliable data foundation. TEJ offers <strong><mark class=\"has-inline-color has-luminous-vivid-orange-color\" style=\"background-color:rgba(0, 0, 0, 0)\">high-quality, point-in-time<\/mark><\/strong> datasets that power research, backtesting, and decision-making. Whether you\u2019re building asset allocation models or sector-based signals, TEJ\u2019s solutions help you move from idea to execution with confidence.<\/p>\n<p class=\"has-medium-font-size wp-block-paragraph\">\ud83d\udc49 Explore TEJ\u2019s core data services:<\/p>\n<p class=\"has-medium-font-size wp-block-paragraph\"><strong><a href=\"\/en\/solution\/market-data\/?utm_source=chatgpt.com\">Market Data Solution<\/a><\/strong> \u2013 Delivers comprehensive market insights, including stock prices, institutional buy-sell activity, major broker trading flows, margin trading data, and more.<\/p>\n<p class=\"has-medium-font-size wp-block-paragraph\"><strong><a href=\"\/en\/solution\/fundamental-data\/?utm_source=chatgpt.com\">Fundamental Data Solution<\/a><\/strong> \u2013 Offers structured, point-in-time company profiles to help you analyze a firm\u2019s core operations and business fundamentals.<\/p>\n<p class=\"wp-block-paragraph\">\n<div style=\"border: 1px black; border-style: solid none; text-align: center; border-color: #296580; padding: 24px; margin-top: 24px; margin-bottom: 24px;\">\n<p style=\"margin: 0px; font-size: 24px; font-weight: bold; line-height: 1.5;\"><strong data-end=\"234\" data-start=\"166\">The Most Comprehensive Taiwan Market Data Analysis for Investors<\/strong><\/p>\n<div style=\"margin-top: 32px;\"><a href=\"\/en\/solution\/\" rel=\"noopener\" style=\"border: none; border-radius: 4px; background-color: #296580; color: white; font-size: 20px; width: fit-content; text-decoration: none; padding: 12px 30px 12px 30px;\" target=\"_blank\">View All Data Solutions<\/a><\/div>\n<\/div>\n<h2 class=\"wp-block-heading\">Further Reading<\/h2>\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.tejwin.com\/insight\/\u5f9e\u666f\u6c23\u71c8\u865f\u5230\u8cc7\u7522\u8f2a\u52d5\uff1a\u4e00\u5957\u907f\u958b\u718a\u5e02\u7684\u91cf\u5316\u7b56\u7565-n\/\">From Business Cycle Indicators to Asset Rotation: A Quantitative Strategy to Avoid Bear Markets<\/a><\/p>\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.tejwin.com\/insight\/\u9ea5\u514b%EF%BC%8E\u58a8\u83f2\u9ad8\u79d1\u6280\u80a1\u6295\u8cc7\u98a8\u96aa\u8a55\u4f30\u6cd5\u5247-tej\u53f0\u7063\u7d93\u6fdf\/\">Michael Murphy\u2019s Risk Assessment Rules for Investing in High-Tech Stocks<\/a><\/p>\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.tejwin.com\/insight\/\u67e5\u723e\u58eb%EF%BC%8E\u5e03\u862d\u5e1d-\u50f9\u503c\u578b\u9078\u80a1\u6cd5\u5247\uff1a\u6253\u9020\u5b89\u5168\u908a\u969b\u7684\/\">Charles Brandes\u2019 Value Investing Principles : Building a Portfolio with a Margin of Safety<\/a><\/p>\n<p class=\"wp-block-paragraph\">\n","protected":false},"excerpt":{"rendered":"<p>In our previous article\u201d Shipping Leads, Semiconductors Follow?  \u201cwe identified a recurring pattern in Taiwan\u2019s market: rallies in the shipping sector often precede gains in semiconductor stocks. This article builds on that insight by transforming the observed rotation sequence into a quantitative investment strategy.<\/p>\n","protected":false},"featured_media":960,"template":"","tags":[52,65,93,50],"insight_category":[90],"class_list":["post-961","insight","type-insight","status-publish","has-post-thumbnail","hentry","tag-quantitative-analysis","tag-python","tag-semiconductor","tag-market-data","insight_category-industry-insights"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.tejwin.com\/en\/wp-json\/wp\/v2\/insight\/961","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tejwin.com\/en\/wp-json\/wp\/v2\/insight"}],"about":[{"href":"https:\/\/www.tejwin.com\/en\/wp-json\/wp\/v2\/types\/insight"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.tejwin.com\/en\/wp-json\/wp\/v2\/media\/960"}],"wp:attachment":[{"href":"https:\/\/www.tejwin.com\/en\/wp-json\/wp\/v2\/media?parent=961"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tejwin.com\/en\/wp-json\/wp\/v2\/tags?post=961"},{"taxonomy":"insight_category","embeddable":true,"href":"https:\/\/www.tejwin.com\/en\/wp-json\/wp\/v2\/insight_category?post=961"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}