Hang Seng Index fluctuates upward: Tech stocks lead Hong Kong market, southbound funds continue to position

2026-08-26 15:00 1 views HK Stock Live

On August 26, 2026, the Hong Kong stock market showed steady performance, with the Hang Seng Index fluctuating upward to close at 28,650 points, an increase of 0.78%. Tech stocks became the market's leading force, while continuous inflow of southbound funds provided strong support to the market. This article will conduct an in-depth analysis of the current performance characteristics, capital flows, and structural opportunities in the Hong Kong stock market, providing reference for Thai investors.

Hang Seng Index fluctuates upward, market sentiment improves

Today, the Hong Kong stock market showed overall positive performance, with the Hang Seng Index opening low and rising high, once breaking through the 28,700-point mark during the session. Although it pulled back in the afternoon, it ultimately closed with gains, showing a recovery in market sentiment. From a technical perspective, the Hang Seng Index has recently shown a fluctuating upward trend, with the short-term moving average system showing a bullish arrangement, indicating that the market is still in an upward channel.

Among the Hang Seng Index components, more than 60% of stocks rose, with tech stocks performing particularly prominently. The Hang Seng Tech Index rose 1.25%, outperforming the broader market. Market analysts pointed out that as expectations for global economic recovery strengthen, the profit prospects of technology companies improve, becoming the main driving force behind the rise of the Hong Kong stock market.

Market trading volume expands, capital activity increases

Today, the trading volume of the Hong Kong stock market significantly expanded, with the daily trading volume reaching 128 billion Hong Kong dollars, an increase of about 15% from the previous trading day. The increase in market activity indicates that investors' confidence in the future of the Hong Kong stock market has strengthened. From a capital flow perspective, southbound funds continued to flow in through Hong Kong Stock Connect, with net purchases reaching 4.2 billion Hong Kong dollars today, maintaining a net purchase status for the 12th consecutive trading day.

Notably, southbound funds mainly flowed into technology and consumer sectors. Tech giants such as Tencent Holdings, Alibaba, and Meituan received capital favor, while financial stocks such as China Ping An and China Merchants Bank also attracted capital attention. This capital flow indicates that investors are optimistic about the structural opportunities in the Hong Kong stock market.

Tech stocks lead the market, AI concept stocks perform prominently

In today's Hong Kong stock market, tech stocks became the leading force. Technology sectors such as artificial intelligence, cloud computing, and semiconductors showed strong performance, with many individual stocks rising more than 5%. Among them, AI concept stocks were particularly eye-catching, with some leading stocks rising nearly 10%.

Industry analysts believe that the strong performance of tech stocks is mainly driven by multiple factors. First, global tech giants have increased their investment in the field of artificial intelligence, and related industrial chain companies have benefited significantly. Second, with the popularization and application of 5G technology, demand in fields such as cloud computing and big data continues to grow. In addition, the cyclical recovery of the semiconductor industry has also brought room for performance improvement for related listed companies.

Tech giants report positive results, boosting market confidence

Recently, many Hong Kong-listed tech giants have released good interim earnings reports, providing strong support to the market. Tencent Holdings' revenue increased by 15% year-on-year, and net profit increased by 20%; Alibaba's cloud computing business revenue increased by 30%, exceeding market expectations. The excellent performance of these tech giants has not only boosted their own stock prices but also boosted the sentiment of the entire technology sector.

In addition, the continuous expansion of new economy stocks has also injected new vitality into the Hong Kong stock market. Recently, many biotechnology and new energy companies have listed on the Hong Kong Stock Exchange, enriching market investment targets and attracting more capital focused on technology growth.

Southbound funds continue to position, A-H premium narrows

The continuous inflow of southbound funds is an important feature of the recent Hong Kong stock market. Data shows that since 2026, net purchases of Hong Kong stocks by southbound funds have exceeded 200 billion Hong Kong dollars, a historical high for the same period. This phenomenon indicates that mainland investors' recognition of the Hong Kong stock market is continuously improving.

The continuous inflow of southbound funds mainly stems from several factors: first, the valuation of Hong Kong stocks is still attractive compared to A-shares, and the A-H premium index continues to decline; second, the expansion of Hong Kong Stock Connect ETFs provides mainland investors with more investment channels; third, the interconnection mechanism between Hong Kong and mainland capital markets continues to improve, increasing investment convenience.

A-H premium narrows, Hong Kong stock value highlights

With the continuous inflow of southbound funds, the premium rate between A-shares and Hong Kong stocks has continued to narrow. Data shows that the current A-H premium index is 105 points, a significant decrease from 130 points at the beginning of the year, indicating that the valuation advantage of Hong Kong stocks relative to A-shares is gradually emerging.

For Thai investors, the value investment opportunities in the Hong Kong stock market are worth paying attention to. On the one hand, the Hong Kong stock market has many high-quality Chinese enterprises that have competitive advantages in the global market; on the other hand, the valuation of the Hong Kong stock market is relatively reasonable, with higher dividend yields, providing a stable source of returns for long-term investors.

Structural opportunities emerge, investment strategy recommendations

The current Hong Kong stock market shows obvious structural opportunities. Investors can adopt different investment strategies according to their own risk preferences and investment goals. The following are several directions worth paying attention to:

  • Technology sector: Technology fields such as AI, cloud computing, and semiconductors have long-term growth potential, suitable for investors with strong risk tolerance.
  • Consumption upgrade: With the growth of the middle class in the mainland, the trend of consumption upgrade is obvious, and related Hong Kong-listed companies are expected to benefit.
  • New energy: In the context of global carbon neutrality, new energy industry chain companies have long-term investment value.
  • High-dividend stocks: For conservative investors, high-dividend, low-valuation sectors such as finance and real estate can be chosen.

Risk factors cannot be ignored

Although the Hong Kong stock market has shown positive performance recently, investors still need to pay attention to potential risk factors. First, geopolitical tensions may affect market sentiment; second, global inflation pressure and monetary policy changes may bring uncertainty; in addition, the local economic recovery process in Hong Kong also needs close attention.

For Thai investors, investing in Hong Kong stocks also requires attention to exchange rate risks. Exchange rate fluctuations between the Thai baht and the Hong Kong dollar may affect investment returns. It is recommended that investors take appropriate exchange rate hedging measures.

Conclusion: Seizing Hong Kong stock investment opportunities

Overall, on August 26, 2026, the Hong Kong stock market showed steady performance, with the Hang Seng Index fluctuating upward, tech stocks leading the market, and southbound funds continuously flowing in. The current Hong Kong stock market has reasonable valuation and obvious structural opportunities, providing investors with a good allocation timing.

For Thai investors, the Hong Kong stock market has multiple advantages: first, it has many high-quality Chinese enterprises; second, its valuation is relatively reasonable with higher dividend yields; third, it has complementarity with the Thai capital market, helping to diversify investment risks. It is recommended that investors allocate Hong Kong stock assets reasonably according to their own situation and seize the investment opportunities in the Hong Kong stock market.

Looking ahead, with the global economic recovery and China's continuous economic growth, the Hong Kong stock market is expected to maintain steady performance. Investors can pay attention to structural opportunities in fields such as technology, consumption, and new energy, while appropriately controlling risks to achieve long-term stable investment returns.

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  1. CONNECT:[ UseTime:0.001010s ] mysql:host=127.0.0.1;port=3306;dbname=cjgpcs;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `g3ys_config` [ RunTime:0.002427s ]
  3. SELECT `value` FROM `g3ys_config` WHERE `name` = 'timezone' AND `subsite_id` = '35' LIMIT 1 [ RunTime:0.000635s ]
  4. SHOW FULL COLUMNS FROM `g3ys_route` [ RunTime:0.002503s ]
  5. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '35' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000765s ]
  6. SHOW FULL COLUMNS FROM `g3ys_theme` [ RunTime:0.002677s ]
  7. SELECT `paginator` FROM `g3ys_theme` WHERE `module` = 'home' AND `name` = 'etf' AND `subsite_id` = '35' LIMIT 1 [ RunTime:0.000623s ]
  8. SHOW FULL COLUMNS FROM `g3ys_lang` [ RunTime:0.002945s ]
  9. SELECT * FROM `g3ys_lang` WHERE `subsite_id` = 35 AND ( ( LOWER(name) = 'en-us' ) OR `subtag` = 'en-us' ) AND `status` = 1 ORDER BY `id` ASC LIMIT 1 [ RunTime:0.000984s ]
  10. SHOW FULL COLUMNS FROM `g3ys_member` [ RunTime:0.004403s ]
  11. SELECT * FROM `g3ys_member` WHERE `id` = 0 AND `subsite_id` = '35' LIMIT 1 [ RunTime:0.000832s ]
  12. SHOW FULL COLUMNS FROM `g3ys_document` [ RunTime:0.004140s ]
  13. SELECT `id`,`document_type` FROM `g3ys_document` WHERE `subsite_id` = 35 AND `name` = 'hang-seng-index-tech-stocks-southward-funds' AND `status` IN ('1','2') LIMIT 1 [ RunTime:0.003124s ]
  14. SELECT * FROM `g3ys_document` WHERE ( `name` = '6997' OR `id` = '6997' ) AND `subsite_id` = 35 LIMIT 1 [ RunTime:0.009235s ]
  15. SHOW TABLES LIKE 'g3ys_document_article' [ RunTime:0.002561s ]
  16. SHOW FULL COLUMNS FROM `g3ys_document_article` [ RunTime:0.001574s ]
  17. SELECT * FROM `g3ys_document_article` WHERE `document_id` = '6997' LIMIT 1 [ RunTime:0.000735s ]
  18. SHOW FULL COLUMNS FROM `g3ys_total` [ RunTime:0.002058s ]
  19. SELECT * FROM `g3ys_total` WHERE `target_id` = '6997' LIMIT 1 [ RunTime:0.000681s ]
  20. SHOW TABLES LIKE 'g3ys_document_article_lang' [ RunTime:0.002143s ]
  21. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.002299s ]
  22. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '35' AND `lang` = 'en-US' AND `document_id` = '6997' [ RunTime:0.007210s ]
  23. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.002226s ]
  24. SHOW TABLES LIKE 'g3ys_category_lang' [ RunTime:0.003097s ]
  25. SHOW FULL COLUMNS FROM `g3ys_category_lang` [ RunTime:0.002514s ]
  26. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '35' AND `category_id` = '1393' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.000742s ]
  27. SELECT * FROM `g3ys_total` WHERE `target_id` = '6997' LIMIT 1 [ RunTime:0.000595s ]
  28. UPDATE `g3ys_total` SET `view_total` = `view_total` + 1 WHERE `target_id` = '6997' [ RunTime:0.002307s ]
  29. SHOW FULL COLUMNS FROM `g3ys_record` [ RunTime:0.003787s ]
  30. SELECT `id` FROM `g3ys_record` WHERE `subsite_id` = '35' AND `type` = 'article' AND `url` = 'https://www.thaietf.com/hang-seng-index-tech-stocks-southward-funds' AND `create_time` >= 1787731651 AND ( `visitor_id` = 'e52e521ef22021b7acaf0d8d150d03c7' OR `session_id` = '12138b01e4386d4200e90899338c21aa' ) LIMIT 1 [ RunTime:0.001650s ]
  31. INSERT INTO `g3ys_record` SET `subsite_id` = '35' , `uid` = '0' , `visitor_id` = 'e52e521ef22021b7acaf0d8d150d03c7' , `session_id` = '12138b01e4386d4200e90899338c21aa' , `type` = 'article' , `target_id` = '6997' , `target_type` = 0 , `category_id` = '1393' , `title` = 'Hang Seng Index fluctuates upward: Tech stocks lead Hong Kong market, southbound funds continue to position' , `url` = 'https://www.thaietf.com/hang-seng-index-tech-stocks-southward-funds' , `path` = '/hang-seng-index-tech-stocks-southward-funds' , `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` = '216.73.217.30' , `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` = 1787731711 , `update_time` = 1787731711 [ RunTime:0.003587s ]
  32. SHOW FULL COLUMNS FROM `g3ys_comment` [ RunTime:0.003008s ]
  33. SELECT COUNT(*) AS think_count FROM `g3ys_comment` WHERE `target_id` = '6997' AND `pid` = '0' [ RunTime:0.000727s ]
  34. SHOW FULL COLUMNS FROM `g3ys_model` [ RunTime:0.003690s ]
  35. SELECT `id`,`name`,`title`,`field_group` FROM `g3ys_model` WHERE `extend` = 0 AND `id` <> 1 AND `subsite_id` IN ('0','35') AND `status` = 1 [ RunTime:0.000894s ]
  36. SHOW TABLES LIKE 'g3ys_paragraph' [ RunTime:0.002027s ]
  37. SHOW TABLES LIKE 'g3ys_paragraph_lang' [ RunTime:0.002070s ]
  38. SHOW TABLES LIKE 'g3ys_gallery' [ RunTime:0.002061s ]
  39. SHOW TABLES LIKE 'g3ys_gallery_lang' [ RunTime:0.002209s ]
  40. SHOW TABLES LIKE 'g3ys_video' [ RunTime:0.001985s ]
  41. SHOW TABLES LIKE 'g3ys_video_lang' [ RunTime:0.003552s ]
  42. SHOW TABLES LIKE 'g3ys_faq' [ RunTime:0.002203s ]
  43. SHOW TABLES LIKE 'g3ys_faq_lang' [ RunTime:0.002110s ]
  44. SHOW TABLES LIKE 'g3ys_blockquote' [ RunTime:0.002055s ]
  45. SHOW TABLES LIKE 'g3ys_blockquote_lang' [ RunTime:0.002110s ]
  46. SHOW TABLES LIKE 'g3ys_cards' [ RunTime:0.002043s ]
  47. SHOW TABLES LIKE 'g3ys_cards_lang' [ RunTime:0.002067s ]
  48. SHOW TABLES LIKE 'g3ys_objects' [ RunTime:0.002046s ]
  49. SHOW TABLES LIKE 'g3ys_objects_lang' [ RunTime:0.001925s ]
  50. SHOW TABLES LIKE 'g3ys_videos' [ RunTime:0.002516s ]
  51. SHOW TABLES LIKE 'g3ys_videos_lang' [ RunTime:0.002330s ]
  52. SHOW TABLES LIKE 'g3ys_audios' [ RunTime:0.001998s ]
  53. SHOW TABLES LIKE 'g3ys_audios_lang' [ RunTime:0.001977s ]
  54. SHOW TABLES LIKE 'g3ys_files' [ RunTime:0.002016s ]
  55. SHOW TABLES LIKE 'g3ys_files_lang' [ RunTime:0.001923s ]
  56. SHOW TABLES LIKE 'g3ys_richmedia' [ RunTime:0.003044s ]
  57. SHOW TABLES LIKE 'g3ys_richmedia_lang' [ RunTime:0.003441s ]
  58. SHOW FULL COLUMNS FROM `g3ys_paragraph` [ RunTime:0.002584s ]
  59. SELECT * FROM `g3ys_paragraph` WHERE `document_id` = 6997 AND `subsite_id` = '35' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001787s ]
  60. SHOW FULL COLUMNS FROM `g3ys_gallery` [ RunTime:0.004724s ]
  61. SELECT * FROM `g3ys_gallery` WHERE `document_id` = 6997 AND `subsite_id` = 35 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001045s ]
  62. SHOW FULL COLUMNS FROM `g3ys_video` [ RunTime:0.002013s ]
  63. SELECT * FROM `g3ys_video` WHERE `document_id` = 6997 AND `subsite_id` = 35 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000875s ]
  64. SHOW FULL COLUMNS FROM `g3ys_faq` [ RunTime:0.001837s ]
  65. SELECT * FROM `g3ys_faq` WHERE `document_id` = 6997 AND `subsite_id` = 35 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000873s ]
  66. SHOW FULL COLUMNS FROM `g3ys_blockquote` [ RunTime:0.002174s ]
  67. SELECT * FROM `g3ys_blockquote` WHERE `document_id` = 6997 AND `subsite_id` = 35 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001670s ]
  68. SHOW FULL COLUMNS FROM `g3ys_cards` [ RunTime:0.002481s ]
  69. SELECT * FROM `g3ys_cards` WHERE `document_id` = 6997 AND `subsite_id` = '35' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001069s ]
  70. SHOW FULL COLUMNS FROM `g3ys_objects` [ RunTime:0.002087s ]
  71. SELECT * FROM `g3ys_objects` WHERE `document_id` = 6997 AND `subsite_id` = '35' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000964s ]
  72. SHOW FULL COLUMNS FROM `g3ys_videos` [ RunTime:0.002199s ]
  73. SELECT * FROM `g3ys_videos` WHERE `document_id` = 6997 AND `subsite_id` = '35' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000878s ]
  74. SHOW FULL COLUMNS FROM `g3ys_audios` [ RunTime:0.002048s ]
  75. SELECT * FROM `g3ys_audios` WHERE `document_id` = 6997 AND `subsite_id` = '35' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000802s ]
  76. SHOW FULL COLUMNS FROM `g3ys_files` [ RunTime:0.002141s ]
  77. SELECT * FROM `g3ys_files` WHERE `document_id` = 6997 AND `subsite_id` = '35' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000844s ]
  78. SHOW FULL COLUMNS FROM `g3ys_richmedia` [ RunTime:0.002234s ]
  79. SELECT * FROM `g3ys_richmedia` WHERE `document_id` = 6997 AND `subsite_id` = '35' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001012s ]
  80. SELECT * FROM `g3ys_document` WHERE `category_id` = 1393 AND `subsite_id` = 35 AND `pid` = '0' AND `status` = '1' AND ( ( sort > 0) or ( sort = 0 and id < 6997) ) ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.001497s ]
  81. SELECT * FROM `g3ys_document` WHERE `category_id` = 1393 AND `subsite_id` = 35 AND `pid` = '6943' AND `status` = '1' ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.001147s ]
  82. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '35' AND `lang` = 'en-US' AND `document_id` = '6943' [ RunTime:0.008529s ]
  83. SELECT * FROM `g3ys_document` WHERE `category_id` = 1393 AND `subsite_id` = 35 AND `pid` = '6997' AND `status` = '1' AND `document_type` = 0 ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001442s ]
  84. SELECT * FROM `g3ys_document` WHERE `category_id` = 1393 AND `subsite_id` = 35 AND `pid` = '0' AND `status` = '1' AND `document_type` = 0 AND ( ( sort>0 and sort <= 0 and id!=6997) or ( sort = 0 and id > 6997) ) ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001509s ]
  85. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '35' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000930s ]
  86. SELECT * FROM `g3ys_total` WHERE `target_id` = '6997' LIMIT 1 [ RunTime:0.000869s ]
  87. SHOW FULL COLUMNS FROM `g3ys_tags` [ RunTime:0.002473s ]
  88. SELECT `title`,`color`,`description`,`seotitle`,`keyword`,`name`,`id` FROM `g3ys_tags` WHERE `id` IN (758,766,756,754,753,752) AND `status` = 1 [ RunTime:0.000834s ]
  89. SHOW FULL COLUMNS FROM `g3ys_tags_lang` [ RunTime:0.001746s ]
  90. SELECT * FROM `g3ys_tags_lang` WHERE `tags_id` IN (758,766,756,754,753,752) AND `subsite_id` = 35 AND `lang` = 'en-US' [ RunTime:0.000867s ]
  91. SHOW FULL COLUMNS FROM `g3ys_ad_location` [ RunTime:0.002006s ]
  92. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-detail-full' AND `subsite_id` = '35' AND `status` = 1 LIMIT 1 [ RunTime:0.000811s ]
  93. SHOW FULL COLUMNS FROM `g3ys_ad` [ RunTime:0.003194s ]
  94. SELECT * FROM `g3ys_ad` WHERE `subsite_id` = '35' AND `ad_location_id` = '61' AND `status` = 1 AND `device` IN ('all','pc') AND ( `start_time` = 0 OR `start_time` <= 1787731711 ) AND ( `end_time` = 0 OR `end_time` >= 1787731711 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.001033s ]
  95. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.001969s ]
  96. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 61 AND `subsite_id` = '35' AND `lang` = 'en-US' [ RunTime:0.000814s ]
  97. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.001786s ]
  98. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '35' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000798s ]
  99. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '35' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000671s ]
  100. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '35' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000727s ]
  101. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '35' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000797s ]
  102. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '35' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000727s ]
  103. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-right' AND `subsite_id` = '35' AND `status` = 1 LIMIT 1 [ RunTime:0.000737s ]
  104. SELECT * FROM `g3ys_ad` WHERE `subsite_id` = '35' AND `ad_location_id` = '63' AND `status` = 1 AND `device` IN ('all','pc') AND ( `start_time` = 0 OR `start_time` <= 1787731711 ) AND ( `end_time` = 0 OR `end_time` >= 1787731711 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.000891s ]
  105. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 63 AND `subsite_id` = '35' AND `lang` = 'en-US' [ RunTime:0.000690s ]
  106. SELECT * FROM `g3ys_tags` WHERE `subsite_id` = 35 AND `status` = 1 ORDER BY `sort` DESC,`id` DESC LIMIT 15 [ RunTime:0.000898s ]
  107. SELECT * FROM `g3ys_tags_lang` WHERE `tags_id` IN (777,776,775,774,773,772,771,770,769,768,767,766,765,764,763) AND `subsite_id` = 35 AND `lang` = 'en-US' [ RunTime:0.001347s ]
  108. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '35' AND `category_id` = '2075' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.000878s ]
  109. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '35' AND `category_id` = '2076' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.000653s ]
  110. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '35' AND `category_id` = '2077' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.000681s ]
  111. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '35' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000956s ]
  112. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '35' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000727s ]
0.505307s