Southeast Asian capital continues to flow into US stock ETFs, with net inflows reaching a historic high in the first half of 2026

2026-08-08 14:51 21 Reading Why Buy US Stocks?

Southeast Asian Capital Continues to Flow into US Stock ETFs, with Net Inflows Reaching a Historic High in the First Half of 2026

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In the first half of 2026, investors in Southeast Asia reached unprecedented levels of enthusiasm for investing in US stock ETFs (Exchange Traded Funds). According to the latest data, funds from countries such as Thailand, Singapore, Malaysia, and Indonesia net flowed into the US market through US stock ETF channels, with a total scale exceeding $45 billion, setting a record high for the same period in history. This phenomenon not only reflects the diversified demand of Southeast Asian investors for global asset allocation but also highlights the unique advantages of US stock ETFs as investment tools.

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Southeast Asian Capital Accelerates Allocation to the US Stock ETF Market

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According to the latest report released by the Investment Company Institute (ICI), in the first half of 2026, Southeast Asian investors injected $45 billion net into the US stock market through US stock ETF channels, a 78% increase compared to the same period in 2025, accounting for 23% of the global net inflows into US stock ETFs. Among them, Thai investors were the most active, with net inflows reaching $12.5 billion, a year-on-year increase of 120%; Singaporean investors had net inflows of $9.8 billion, while Malaysia and Indonesia had net inflows of $8.7 billion and $6.5 billion respectively.

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This capital flow trend is closely related to the development of the financial markets in Southeast Asia. In recent years, the economies of Southeast Asian countries have maintained steady growth, but the scale of local financial markets is relatively limited, and the variety of investment tools is insufficient to meet the growing wealth management needs. In contrast, the US stock market, as the largest and most mature market in the world, provides a richer range of investment targets and a more complete market mechanism, becoming the preferred channel for Southeast Asian investors seeking international asset allocation.

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Core Advantages of US Stock ETFs Attracting Southeast Asian Investors

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The reason why US stock ETFs have become the main tool for Southeast Asian capital to enter the US market stems from their multiple advantages. Firstly, ETFs are characterized by convenient trading and low costs. Investors can buy and sell them like stocks at any time during trading hours, without having to subscribe or redeem at net value only after market close like traditional mutual funds. Secondly, ETFs provide highly diversified investment options, from broad-based indices such as the S&P 500 and Nasdaq 100, to industry themes such as technology, healthcare, and finance, to ETFs for specific countries or regions, meeting the needs of different risk preferences and investment strategies.

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For Southeast Asian investors, US stock ETFs also provide effective exchange rate risk management tools. In recent years, the US dollar has shown relative strength against most Southeast Asian currencies. By investing in US dollar-denominated ETFs, investors can hedge against the risk of depreciation of their local currency while obtaining asset appreciation. In addition, the US stock market has low correlation with Southeast Asian stock markets, and investing in US stock ETFs helps achieve cross-regional asset allocation and reduce the overall risk of the investment portfolio.

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Analysis of Popular US Stock ETF Products in the First Half of 2026

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In terms of product types, the US stock ETFs most favored by Southeast Asian investors in the first half of 2026 were as follows:

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  • Technology ETFs: such as Invesco QQQ Trust (QQQ) and iShares Semiconductor ETF (SMH), benefiting from continuous innovation in fields such as AI and cloud computing, net inflows reached $5.8 billion and $4.2 billion respectively in the first half.
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  • Broad-based index ETFs: such as SPDR S&P 500 ETF Trust (SPY) and iShares Core S&P 500 ETF (IVV), with their stable long-term performance and low fee characteristics, attracted net inflows of $7.6 billion and $6.3 billion respectively.
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  • Emerging market ETFs: such as iShares MSCI Emerging Markets ETF (EEM) and iShares JP Morgan USD Emerging Markets Bond Bond (EMB), despite certain challenges in emerging markets, they still gained favor among Southeast Asian investors, with net inflows of $3.9 billion and $2.8 billion respectively.
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  • ESG thematic ETFs: such as iShares Global Clean Energy ETF (ICLN) and iShares ESG Aware MSCI USA ETF (ESGU), as the concept of sustainable investment becomes more popular in Southeast Asia, these ETFs had net inflows of $3.5 billion in the first half.
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Changes in Southeast Asian Investor Structure and Evolution of Investment Strategies

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Notably, the structure of capital from Southeast Asian investing in US stock ETFs changed significantly in the first half of 2026. The proportion of institutional investors increased from 45% in the same period of 2025 to 58%, with long-term institutional funds including sovereign wealth funds, insurance companies, and pension funds becoming the main driving force behind this wave of capital inflows. Meanwhile, the proportion of high-net-worth individual investors decreased from 38% to 29%, while the proportion of retail investors slightly increased from 17% to 13%.

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In terms of investment strategies, Southeast Asian investors are shifting from simple index tracking to more complex strategies. More and more investors are beginning to adopt core-satellite strategies, allocating most of their funds to broad-based index ETFs as core holdings while investing part of their funds in industry-themed or factor ETFs to enhance returns. In addition, some institutional investors are beginning to use ETFs to build global asset allocation models, dynamically adjusting the allocation proportions of various ETFs based on macroeconomic analysis and market trend judgments.

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Regulatory Environment and Policy Support

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The attitudes of regulatory authorities in Southeast Asian countries toward investors participating in global markets through ETFs have also changed positively. The Securities and Exchange Commission (SEC) of Thailand issued new ETF investment guidelines in March 2026, simplifying the approval process for cross-border ETF investments and increasing the investment limit. The Monetary Authority of Singapore (MAS) launched the "ETF Tax Incentive Scheme", offering tax reductions for qualified investments in overseas ETFs, further stimulating capital flows.

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In addition, Southeast Asian local financial institutions are also actively expanding their ETF businesses to provide more convenient services for investors. Large financial institutions such as DBS Bank in Singapore and Bangkok Bank in Thailand have successively launched dedicated accounts for US stock ETF investment, providing one-stop services from account opening, trading to tax declaration, lowering the threshold for Southeast Asian investors to participate in the US stock ETF market.

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Future Outlook and Investment Recommendations

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Looking ahead, as wealth accumulation in Southeast Asia and the degree of financial market openness increase, the trend of investing in the US stock market through ETFs is expected to continue. According to a report by Morgan Stanley, it is estimated that in the second half of 2026, the scale of Southeast Asian capital flowing into the US market through ETF channels will reach $38-42 billion, with the full year likely to exceed the $80 billion mark.

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For Southeast Asian investors interested in participating in US stock ETF investment, experts recommend the following strategies:

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  • Clarify investment objectives: Determine suitable investment objectives and asset allocation ratios based on your own risk tolerance and investment horizon.
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  • Diversify investments: Do not concentrate all funds in a single ETF or specific industry, but achieve diversification by allocating to different types of ETFs.
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  • Pay attention to costs: Management fees and trading costs of ETFs have a significant impact on long-term returns, and ETF products with reasonable fee rates should be selected.
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  • Regular evaluation: Regularly review the performance of the investment portfolio and adjust ETF allocations based on market changes and investment objectives.
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  • Tax planning: Understand and make reasonable use of relevant tax preferential policies to optimize investment returns.
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Overall, the continuous inflow of Southeast Asian capital into the US stock ETF market reflects investors' diversified demand for global asset allocation and their confidence in the long-term development potential of the US stock market. With the optimization of the regulatory environment and the enrichment of investment tools, US stock ETFs will continue to be an important bridge for Southeast Asian investors to participate in the global capital market, providing investors with broader investment opportunities and more effective risk management tools.

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Disclaimer: This article is for reference only and does not constitute investment advice. Investment involves risks, please invest cautiously.

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  1. CONNECT:[ UseTime:0.001109s ] mysql:host=127.0.0.1;port=3306;dbname=cjgpcs;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `g3ys_config` [ RunTime:0.002279s ]
  3. SELECT `value` FROM `g3ys_config` WHERE `name` = 'timezone' AND `subsite_id` = '26' LIMIT 1 [ RunTime:0.000637s ]
  4. SHOW FULL COLUMNS FROM `g3ys_route` [ RunTime:0.002496s ]
  5. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000794s ]
  6. SHOW FULL COLUMNS FROM `g3ys_theme` [ RunTime:0.002465s ]
  7. SELECT `paginator` FROM `g3ys_theme` WHERE `module` = 'home' AND `name` = 'scientex' AND `subsite_id` = '26' LIMIT 1 [ RunTime:0.000633s ]
  8. SHOW FULL COLUMNS FROM `g3ys_lang` [ RunTime:0.003428s ]
  9. SELECT * FROM `g3ys_lang` WHERE `subsite_id` = 26 AND ( ( LOWER(name) = 'en-us' ) OR `subtag` = 'en-us' ) AND `status` = 1 ORDER BY `id` ASC LIMIT 1 [ RunTime:0.001376s ]
  10. SHOW FULL COLUMNS FROM `g3ys_member` [ RunTime:0.005749s ]
  11. SELECT * FROM `g3ys_member` WHERE `id` = 0 AND `subsite_id` = '26' LIMIT 1 [ RunTime:0.001258s ]
  12. SHOW FULL COLUMNS FROM `g3ys_document` [ RunTime:0.011570s ]
  13. SELECT `id`,`document_type` FROM `g3ys_document` WHERE `subsite_id` = 26 AND `name` = 'southeast-asia-capital-inflow-us-etf-record-high-2026' AND `status` IN ('1','2') LIMIT 1 [ RunTime:0.005581s ]
  14. SELECT * FROM `g3ys_document` WHERE ( `name` = '6319' OR `id` = '6319' ) AND `subsite_id` = 26 LIMIT 1 [ RunTime:0.017405s ]
  15. SHOW TABLES LIKE 'g3ys_document_article' [ RunTime:0.004028s ]
  16. SHOW FULL COLUMNS FROM `g3ys_document_article` [ RunTime:0.002504s ]
  17. SELECT * FROM `g3ys_document_article` WHERE `document_id` = '6319' LIMIT 1 [ RunTime:0.001082s ]
  18. SHOW FULL COLUMNS FROM `g3ys_total` [ RunTime:0.002916s ]
  19. SELECT * FROM `g3ys_total` WHERE `target_id` = '6319' LIMIT 1 [ RunTime:0.001021s ]
  20. SHOW TABLES LIKE 'g3ys_document_article_lang' [ RunTime:0.003536s ]
  21. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.003152s ]
  22. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '26' AND `lang` = 'en-US' AND `document_id` = '6319' [ RunTime:0.011942s ]
  23. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.003949s ]
  24. SHOW TABLES LIKE 'g3ys_category_lang' [ RunTime:0.003572s ]
  25. SHOW FULL COLUMNS FROM `g3ys_category_lang` [ RunTime:0.003263s ]
  26. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '26' AND `category_id` = '1238' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.000966s ]
  27. SELECT * FROM `g3ys_total` WHERE `target_id` = '6319' LIMIT 1 [ RunTime:0.001729s ]
  28. UPDATE `g3ys_total` SET `view_total` = `view_total` + 1 WHERE `target_id` = '6319' [ RunTime:0.003204s ]
  29. SHOW FULL COLUMNS FROM `g3ys_record` [ RunTime:0.008882s ]
  30. SELECT `id` FROM `g3ys_record` WHERE `subsite_id` = '26' AND `type` = 'article' AND `url` = 'https://www.thaitour.asia/southeast-asia-capital-inflow-us-etf-record-high-2026' AND `create_time` >= 1786677464 AND ( `visitor_id` = '1e2c50caf9359f54eaa2f39b0188aeec' OR `session_id` = 'c2158d573a8ac1f2fad744a09f5898ea' ) LIMIT 1 [ RunTime:0.002879s ]
  31. INSERT INTO `g3ys_record` SET `subsite_id` = '26' , `uid` = '0' , `visitor_id` = '1e2c50caf9359f54eaa2f39b0188aeec' , `session_id` = 'c2158d573a8ac1f2fad744a09f5898ea' , `type` = 'article' , `target_id` = '6319' , `target_type` = 0 , `category_id` = '1238' , `title` = 'Southeast Asian capital continues to flow into US stock ETFs, with net inflows reaching a historic high in the first half of 2026' , `url` = 'https://www.thaitour.asia/southeast-asia-capital-inflow-us-etf-record-high-2026' , `path` = '/southeast-asia-capital-inflow-us-etf-record-high-2026' , `query_string` = '' , `referer` = '' , `referer_domain` = '' , `source_type` = 'direct' , `source_domain` = '' , `search_engine` = '' , `search_keyword` = '' , `utm_source` = '' , `utm_medium` = '' , `utm_campaign` = '' , `utm_term` = '' , `utm_content` = '' , `ip` = '216.73.216.250' , `user_agent` = 'Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)' , `device_type` = 'pc' , `browser` = '其他' , `browser_version` = '' , `os` = '其他' , `os_version` = '' , `language` = '' , `is_spider` = 0 , `spider_name` = '' , `status_code` = 200 , `country` = '' , `province` = '' , `city` = '' , `district` = '' , `isp` = '' , `region_code` = '' , `geo_status` = 0 , `geo_time` = 0 , `create_time` = 1786677524 , `update_time` = 1786677524 [ RunTime:0.007256s ]
  32. SHOW FULL COLUMNS FROM `g3ys_comment` [ RunTime:0.010620s ]
  33. SELECT COUNT(*) AS think_count FROM `g3ys_comment` WHERE `target_id` = '6319' AND `pid` = '0' [ RunTime:0.006759s ]
  34. SHOW FULL COLUMNS FROM `g3ys_model` [ RunTime:0.025131s ]
  35. SELECT `id`,`name`,`title`,`field_group` FROM `g3ys_model` WHERE `extend` = 0 AND `id` <> 1 AND `subsite_id` IN ('0','26') AND `status` = 1 [ RunTime:0.002182s ]
  36. SHOW TABLES LIKE 'g3ys_paragraph' [ RunTime:0.005877s ]
  37. SHOW TABLES LIKE 'g3ys_paragraph_lang' [ RunTime:0.005194s ]
  38. SHOW TABLES LIKE 'g3ys_gallery' [ RunTime:0.005066s ]
  39. SHOW TABLES LIKE 'g3ys_gallery_lang' [ RunTime:0.004482s ]
  40. SHOW TABLES LIKE 'g3ys_video' [ RunTime:0.003758s ]
  41. SHOW TABLES LIKE 'g3ys_video_lang' [ RunTime:0.004310s ]
  42. SHOW TABLES LIKE 'g3ys_faq' [ RunTime:0.004899s ]
  43. SHOW TABLES LIKE 'g3ys_faq_lang' [ RunTime:0.004361s ]
  44. SHOW TABLES LIKE 'g3ys_blockquote' [ RunTime:0.005975s ]
  45. SHOW TABLES LIKE 'g3ys_blockquote_lang' [ RunTime:0.006600s ]
  46. SHOW TABLES LIKE 'g3ys_cards' [ RunTime:0.004387s ]
  47. SHOW TABLES LIKE 'g3ys_cards_lang' [ RunTime:0.006101s ]
  48. SHOW TABLES LIKE 'g3ys_objects' [ RunTime:0.005206s ]
  49. SHOW TABLES LIKE 'g3ys_objects_lang' [ RunTime:0.004129s ]
  50. SHOW TABLES LIKE 'g3ys_videos' [ RunTime:0.004002s ]
  51. SHOW TABLES LIKE 'g3ys_videos_lang' [ RunTime:0.004412s ]
  52. SHOW TABLES LIKE 'g3ys_audios' [ RunTime:0.003949s ]
  53. SHOW TABLES LIKE 'g3ys_audios_lang' [ RunTime:0.003922s ]
  54. SHOW TABLES LIKE 'g3ys_files' [ RunTime:0.004422s ]
  55. SHOW TABLES LIKE 'g3ys_files_lang' [ RunTime:0.003357s ]
  56. SHOW TABLES LIKE 'g3ys_richmedia' [ RunTime:0.003199s ]
  57. SHOW TABLES LIKE 'g3ys_richmedia_lang' [ RunTime:0.003349s ]
  58. SHOW FULL COLUMNS FROM `g3ys_paragraph` [ RunTime:0.003732s ]
  59. SELECT * FROM `g3ys_paragraph` WHERE `document_id` = 6319 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001238s ]
  60. SHOW FULL COLUMNS FROM `g3ys_gallery` [ RunTime:0.005082s ]
  61. SELECT * FROM `g3ys_gallery` WHERE `document_id` = 6319 AND `subsite_id` = 26 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001324s ]
  62. SHOW FULL COLUMNS FROM `g3ys_video` [ RunTime:0.003854s ]
  63. SELECT * FROM `g3ys_video` WHERE `document_id` = 6319 AND `subsite_id` = 26 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001676s ]
  64. SHOW FULL COLUMNS FROM `g3ys_faq` [ RunTime:0.003010s ]
  65. SELECT * FROM `g3ys_faq` WHERE `document_id` = 6319 AND `subsite_id` = 26 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001578s ]
  66. SHOW FULL COLUMNS FROM `g3ys_blockquote` [ RunTime:0.003623s ]
  67. SELECT * FROM `g3ys_blockquote` WHERE `document_id` = 6319 AND `subsite_id` = 26 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001582s ]
  68. SHOW FULL COLUMNS FROM `g3ys_cards` [ RunTime:0.003231s ]
  69. SELECT * FROM `g3ys_cards` WHERE `document_id` = 6319 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001273s ]
  70. SHOW FULL COLUMNS FROM `g3ys_objects` [ RunTime:0.003696s ]
  71. SELECT * FROM `g3ys_objects` WHERE `document_id` = 6319 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001486s ]
  72. SHOW FULL COLUMNS FROM `g3ys_videos` [ RunTime:0.003794s ]
  73. SELECT * FROM `g3ys_videos` WHERE `document_id` = 6319 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001298s ]
  74. SHOW FULL COLUMNS FROM `g3ys_audios` [ RunTime:0.003743s ]
  75. SELECT * FROM `g3ys_audios` WHERE `document_id` = 6319 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001498s ]
  76. SHOW FULL COLUMNS FROM `g3ys_files` [ RunTime:0.003592s ]
  77. SELECT * FROM `g3ys_files` WHERE `document_id` = 6319 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001411s ]
  78. SHOW FULL COLUMNS FROM `g3ys_richmedia` [ RunTime:0.005601s ]
  79. SELECT * FROM `g3ys_richmedia` WHERE `document_id` = 6319 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001316s ]
  80. SELECT * FROM `g3ys_document` WHERE `category_id` = 1238 AND `subsite_id` = 26 AND `pid` = '0' AND `status` = '1' AND ( ( sort > 0) or ( sort = 0 and id < 6319) ) ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.002066s ]
  81. SELECT * FROM `g3ys_document` WHERE `category_id` = 1238 AND `subsite_id` = 26 AND `pid` = '6257' AND `status` = '1' ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.002216s ]
  82. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '26' AND `lang` = 'en-US' AND `document_id` = '6257' [ RunTime:0.014735s ]
  83. SELECT * FROM `g3ys_document` WHERE `category_id` = 1238 AND `subsite_id` = 26 AND `pid` = '6319' AND `status` = '1' AND `document_type` = 0 ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001981s ]
  84. SELECT * FROM `g3ys_document` WHERE `category_id` = 1238 AND `subsite_id` = 26 AND `pid` = '0' AND `status` = '1' AND `document_type` = 0 AND ( ( sort>0 and sort <= 0 and id!=6319) or ( sort = 0 and id > 6319) ) ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.002062s ]
  85. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '26' AND `lang` = 'en-US' AND `document_id` = '6379' [ RunTime:0.014023s ]
  86. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001609s ]
  87. SELECT * FROM `g3ys_total` WHERE `target_id` = '6319' LIMIT 1 [ RunTime:0.001226s ]
  88. SHOW FULL COLUMNS FROM `g3ys_tags` [ RunTime:0.004331s ]
  89. SELECT `title`,`color`,`description`,`seotitle`,`keyword`,`name`,`id` FROM `g3ys_tags` WHERE `id` IN (696,706,688,686,685,704,691,710) AND `status` = 1 [ RunTime:0.001226s ]
  90. SHOW FULL COLUMNS FROM `g3ys_tags_lang` [ RunTime:0.004642s ]
  91. SELECT * FROM `g3ys_tags_lang` WHERE `tags_id` IN (696,706,688,686,685,704,691,710) AND `subsite_id` = 26 AND `lang` = 'en-US' [ RunTime:0.002351s ]
  92. SHOW FULL COLUMNS FROM `g3ys_ad_location` [ RunTime:0.005138s ]
  93. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-detail-full' AND `subsite_id` = '26' AND `status` = 1 LIMIT 1 [ RunTime:0.001222s ]
  94. SHOW FULL COLUMNS FROM `g3ys_ad` [ RunTime:0.005507s ]
  95. SELECT * FROM `g3ys_ad` WHERE `subsite_id` = '26' AND `ad_location_id` = '23' AND `status` = 1 AND `device` IN ('all','pc') AND ( `start_time` = 0 OR `start_time` <= 1786677524 ) AND ( `end_time` = 0 OR `end_time` >= 1786677524 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.001431s ]
  96. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.003175s ]
  97. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 23 AND `subsite_id` = '26' AND `lang` = 'en-US' [ RunTime:0.000990s ]
  98. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.003409s ]
  99. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001013s ]
  100. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000988s ]
  101. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001030s ]
  102. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001243s ]
  103. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000991s ]
  104. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.004800s ]
  105. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-right' AND `subsite_id` = '26' AND `status` = 1 LIMIT 1 [ RunTime:0.000959s ]
  106. SELECT * FROM `g3ys_ad` WHERE `subsite_id` = '26' AND `ad_location_id` = '25' AND `status` = 1 AND `device` IN ('all','pc') AND ( `start_time` = 0 OR `start_time` <= 1786677524 ) AND ( `end_time` = 0 OR `end_time` >= 1786677524 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.001832s ]
  107. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 25 AND `subsite_id` = '26' AND `lang` = 'en-US' [ RunTime:0.004252s ]
  108. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000962s ]
  109. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.003771s ]
  110. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.003521s ]
  111. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.003399s ]
  112. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.003859s ]
  113. SELECT * FROM `g3ys_tags` WHERE `subsite_id` = 26 AND `status` = 1 ORDER BY `sort` DESC,`id` DESC LIMIT 15 [ RunTime:0.007122s ]
  114. SELECT * FROM `g3ys_tags_lang` WHERE `tags_id` IN (719,717,715,714,713,712,711,710,709,708,707,706,705,704,703) AND `subsite_id` = 26 AND `lang` = 'en-US' [ RunTime:0.001862s ]
  115. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001516s ]
  116. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '26' AND `category_id` = '2052' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.002165s ]
  117. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '26' AND `category_id` = '2053' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.002821s ]
  118. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '26' AND `category_id` = '2054' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.003538s ]
  119. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.003922s ]
  120. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001065s ]
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