2026年10月03日 Saturday Focus on Malaysia and Southeast Asia cross-border investment

Global Capital Flows: New Asset Allocation Landscape and Opportunities in Q4 2026

2026-10-03 09:00

Global Capital Flows: New Asset Allocation Landscape and Opportunities in Q4 2026

Global Capital Flows: New Asset Allocation Landscape and Opportunities in Q4 2026

The global economy is currently in a critical transition period, with divergent central bank policies, geopolitical shifts, and industrial technological innovation jointly driving the reallocation of global capital. In Q4 2026, as economic data continues to be released and policy directions become clearer, global capital flows present an unprecedented complex landscape. This article will deeply analyze the main trends of global capital flows, regional characteristics, and their impact on different asset classes, providing professional market insights and practical recommendations for investors.

Analysis of Major Global Capital Flow Trends

In Q4 2026, global capital flows show multidimensional changes. Firstly, the Federal Reserve's policy shift has a profound impact on global capital flows. With easing inflationary pressures and slowing economic growth, the Fed clearly signaled a "dovish stance" at its September meeting, potentially implementing 1-2 interest rate cuts before the end of 2026. This policy shift has led to a weaker US dollar, prompting global capital to reassess the attractiveness of dollar-denominated assets.

Secondly, the policy divergence between the European Central Bank and the Bank of Japan continues to widen. While maintaining higher interest rates, the ECB has shown significant success in combating inflation, enhancing the appeal of euro-denominated assets. In contrast, although the Bank of Japan has ended its negative interest rate policy, its monetary policy remains relatively loose, and the allocation of Japanese assets in global investment portfolios remains relatively stable.

Thirdly, emerging market capital flows show a divergent pattern. Asian emerging markets continue to attract international capital inflows through stable economic growth and reform policies. Meanwhile, some Latin American and Central European countries face capital outflow pressures due to geopolitical risks and structural economic issues.

Regional Capital Flow Characteristics

North American Market: Technology Stocks and Bond Markets in Parallel

In North America, the internal structure of the US stock market has undergone significant changes. After 15 years of US market concentration, the trend of technology stocks dominating the market is being broken. Goldman Sachs' latest report shows that in Q3 2026, non-tech sector capital inflows accounted for 42%, reaching a five-year high. Traditional sectors such as industrial, financial, and consumer goods sectors have regained capital favor, reflecting investors' preference for diversified market allocation.

Meanwhile, the US bond market is turning around with interest rate cut expectations. The 10-year Treasury yield fell from 4.8% at the beginning of the year to 3.6% in the third quarter, with rising bond prices attracting significant capital inflows. Particularly, the investment-grade corporate bond market saw net inflows of $85 billion in Q3 2026, showing investors' renewed focus on bond assets.

European Market: German Bonds Become the New Favorite

European market capital flows show clear regional differentiation. Germany, with its stable economic fundamentals and the ECB's relatively tight monetary policy, has become the new favorite for global capital in German government bonds. In Q3 2026, foreign net purchases of German government bonds reached €32 billion, a three-year high. Meanwhile, government bonds in Southern European countries like Italy face capital outflow pressures, reflecting market concerns about differentiated risks within Europe.

In European equities, technology and green energy sectors continue to attract capital inflows. The German DAX and French CAC40 indices rose by 7.2% and 6.8% respectively in the third quarter, outperforming the overall European market. ECB data shows that in the first three quarters of 2026, net foreign inflows into European equities reached €125 billion, mainly concentrated in technology and green energy sectors.

Asia-Pacific Market: Differentiated Patterns in China, Japan, and South Korea

Capital flows in the Asia-Pacific region show clear differentiation. The Japanese market, after ending ultra-loose monetary policy, has seen increased attractiveness in its stock market. The Nikkei 225 index rose 9.5% in Q3 2026, with net foreign inflows reaching $38 billion, mainly concentrated in technology and automotive sectors.

The Chinese market faces structural adjustments. On one hand, consumer sectors and high-tech industries continue to attract long-term capital; on the other hand, the real estate sector still faces capital outflow pressures. Foreign capital flow data for the first three quarters of 2026 shows that net foreign inflows into Chinese equities were approximately $22 billion, a decrease of about 15% compared to the same period in 2025.

The South Korean market continues to attract capital inflows through its leading position in the global semiconductor industry. Semiconductor giants like Samsung Electronics and SK Hynix saw net foreign purchases exceeding $5 billion in Q3 2026, reflecting global capital's confidence in South Korea's technology industry.

Impact on Different Asset Classes

Equity Assets: Industry Rotation Accelerates

Changes in global capital flows are reshaping the stock market landscape. Traditional tech giants face increasing valuation pressures, while emerging areas such as artificial intelligence, green energy, and biotechnology have become the focus of capital pursuit. In Q3 2026, global AI-related companies received $38 billion in venture capital and private equity funding, a historical high.

Industry rotation phenomena are becoming increasingly evident. In global stock markets, the technology sector's share decreased from 28% at the end of 2025 to 24% in Q3 2026, while the industrial, financial, and healthcare sectors' shares increased by 2.5%, 1.8%, and 1.2% respectively. This industry allocation change reflects the trend of capital's increased sensitivity to economic cycles.

Bond Assets: Credit Differentiation Intensifies

In the interest rate decline cycle, the bond market shows clear internal differentiation. The credit spread between investment-grade bonds and high-yield bonds has widened to 350 basis points, a three-year high. Capital tends to flow toward higher-quality investment-grade bonds, especially safe-haven assets such as US Treasuries and German government bonds.

Meanwhile, emerging market dollar-denominated bonds face capital outflow pressures. In Q3 2026, foreign investors sold approximately $18 billion in emerging market dollar bonds, mainly concentrated in Latin American and some Eastern European countries. This reflects global capital's reassessment of emerging market currencies and political risks.

Alternative Assets: Diversification Trend Strengthens

Against the backdrop of increasing traditional asset volatility, the allocation proportion of alternative assets continues to rise. The real estate investment trust (REIT) market is experiencing a golden period driven by both interest rate cut expectations and valuation recovery. In Q3 2026, global REIT markets saw net inflows of $45 billion, a historical high.

Crypto assets are also receiving more attention from institutional capital. Bitcoin's price broke through $150,000 in Q3 2026, a historical high, mainly benefiting from increased allocation by institutional investors and improving regulatory frameworks. Among the world's top 50 asset management companies, 38 have already included crypto assets in their investment portfolios, with an average allocation ratio of 2.5%.

Investor Response Strategies

Asset Allocation: Diversification and Dynamic Balance

Facing the current complex global capital flow landscape, investors should adopt more flexible asset allocation strategies. Firstly, strengthen asset diversification to reduce reliance on single markets or asset classes. It is recommended to increase the allocation proportion of European and Asia-Pacific assets in investment portfolios, especially in markets with stable fundamentals such as Germany, Japan, and South Korea.

Secondly, implement dynamic asset allocation strategies, regularly adjusting allocation ratios based on changes in the macroeconomic environment and policy directions. For example, during an expected interest rate decline cycle, one can moderately increase long-term bond allocation; during an expected economic recovery cycle, one can increase cyclical industry stock allocation.

Risk Management: Focus on Tail Risk Hedging

With rising global market volatility and increased tail risks, investors should strengthen risk management measures, including establishing diversified investment portfolios, allocating to safe-haven assets (such as gold, volatility index-related products), and setting reasonable stop-loss mechanisms.

Especially for emerging market investments, it is recommended to adopt more stringent risk control measures. Consider using derivatives to hedge currency risks, or choose to invest in stocks of companies with stable cash flows and strong fundamentals.

Long-term Perspective: Grasping Structural Trends

Beyond short-term market fluctuations, investors should focus on long-term structural trends. Fields such as artificial intelligence, green energy, and industries related to population aging have long-term growth potential and deserve long-term allocation. Investors are advised to regularly assess the alignment between their investment portfolios and long-term trends, adjusting investment strategies as appropriate.

Future Outlook

Looking ahead to Q4 2026 and 2027, global capital flows will continue to be influenced by multiple factors. Firstly, the divergence in central bank policies will persist, especially the contrast between the Fed's interest rate cut pace and the ECB's tight policy stance, which will affect cross-asset and cross-regional capital allocation.

Secondly, geopolitical risks remain an important factor influencing capital flows. Geopolitical tensions in the Middle East, Eastern Europe, and other regions may cause short-term sharp fluctuations in capital flows, affecting the performance of related regional assets.

Thirdly, industrial technological innovation will continue to reshape the capital allocation landscape. Breakthroughs in fields such as artificial intelligence, quantum computing, and biotechnology will guide capital flows to related industries, creating new investment opportunities.

Conclusion

In Q4 2026, global capital flows present a complex and changing landscape. The Fed's policy shift, the ECB's tight policy stance, and the differentiation of emerging markets are jointly driving the reallocation of global assets. Investors should adopt more flexible and diversified asset allocation strategies, strengthen risk management, while grasping long-term structural trend opportunities.

In the current market environment, investment strategies focusing on single assets or regions are difficult to maintain excellent performance. Investors need to establish a global perspective, dynamically adjust their investment portfolios based on changes in the macroeconomic environment and policy directions, to achieve long-term stable returns. In the future, as the global economic landscape continues to evolve, capital flow trends will further diversify, and investors need to remain highly vigilant and flexibly respond to market changes.

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  1. CONNECT:[ UseTime:0.001441s ] mysql:host=127.0.0.1;port=3306;dbname=cjgpcs;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `g3ys_config` [ RunTime:0.003816s ]
  3. SELECT `value` FROM `g3ys_config` WHERE `name` = 'timezone' AND `subsite_id` = '37' LIMIT 1 [ RunTime:0.000945s ]
  4. SHOW FULL COLUMNS FROM `g3ys_route` [ RunTime:0.004801s ]
  5. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001203s ]
  6. SHOW FULL COLUMNS FROM `g3ys_theme` [ RunTime:0.003943s ]
  7. SELECT `paginator` FROM `g3ys_theme` WHERE `module` = 'home' AND `name` = 'maju' AND `subsite_id` = '37' LIMIT 1 [ RunTime:0.001054s ]
  8. SHOW FULL COLUMNS FROM `g3ys_lang` [ RunTime:0.006295s ]
  9. SELECT * FROM `g3ys_lang` WHERE `subsite_id` = 37 AND ( ( LOWER(name) = 'en' ) OR `subtag` = 'en' ) AND `status` = 1 ORDER BY `id` ASC LIMIT 1 [ RunTime:0.002768s ]
  10. SHOW FULL COLUMNS FROM `g3ys_member` [ RunTime:0.007697s ]
  11. SELECT * FROM `g3ys_member` WHERE `id` = 0 AND `subsite_id` = '37' LIMIT 1 [ RunTime:0.001655s ]
  12. SHOW FULL COLUMNS FROM `g3ys_document` [ RunTime:0.008292s ]
  13. SELECT `id`,`document_type` FROM `g3ys_document` WHERE `subsite_id` = 37 AND `name` = 'global-capital-flow-2026-q4-asset-allocation-new-opportunities' AND `status` IN ('1','2') LIMIT 1 [ RunTime:0.009075s ]
  14. SELECT * FROM `g3ys_document` WHERE ( `name` = '7398' OR `id` = '7398' ) AND `subsite_id` = 37 LIMIT 1 [ RunTime:0.030307s ]
  15. SHOW TABLES LIKE 'g3ys_document_article' [ RunTime:0.004893s ]
  16. SHOW FULL COLUMNS FROM `g3ys_document_article` [ RunTime:0.002955s ]
  17. SELECT * FROM `g3ys_document_article` WHERE `document_id` = '7398' LIMIT 1 [ RunTime:0.001381s ]
  18. SHOW FULL COLUMNS FROM `g3ys_total` [ RunTime:0.003909s ]
  19. SELECT * FROM `g3ys_total` WHERE `target_id` = '7398' LIMIT 1 [ RunTime:0.000830s ]
  20. SHOW TABLES LIKE 'g3ys_document_article_lang' [ RunTime:0.003879s ]
  21. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.005307s ]
  22. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '37' AND `lang` = 'en' AND `document_id` = '7398' [ RunTime:0.020263s ]
  23. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.003489s ]
  24. SHOW TABLES LIKE 'g3ys_category_lang' [ RunTime:0.004939s ]
  25. SHOW FULL COLUMNS FROM `g3ys_category_lang` [ RunTime:0.003131s ]
  26. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '37' AND `category_id` = '1434' AND `lang` = 'en' LIMIT 1 [ RunTime:0.000932s ]
  27. SELECT * FROM `g3ys_total` WHERE `target_id` = '7398' LIMIT 1 [ RunTime:0.001175s ]
  28. UPDATE `g3ys_total` SET `view_total` = `view_total` + 1 WHERE `target_id` = '7398' [ RunTime:0.004460s ]
  29. SHOW FULL COLUMNS FROM `g3ys_record` [ RunTime:0.003940s ]
  30. SELECT `id` FROM `g3ys_record` WHERE `subsite_id` = '37' AND `type` = 'article' AND `url` = 'https://www.setmal.asia/global-capital-flow-2026-q4-asset-allocation-new-opportunities' AND `create_time` >= 1791018021 AND ( `visitor_id` = '29157525dbb8b024e9c97bcae785fed3' OR `session_id` = '4b529357dc0430c4990beffc9a21f513' ) LIMIT 1 [ RunTime:0.001253s ]
  31. INSERT INTO `g3ys_record` SET `subsite_id` = '37' , `uid` = '0' , `visitor_id` = '29157525dbb8b024e9c97bcae785fed3' , `session_id` = '4b529357dc0430c4990beffc9a21f513' , `type` = 'article' , `target_id` = '7398' , `target_type` = 0 , `category_id` = '1434' , `title` = 'Global Capital Flows: New Asset Allocation Landscape and Opportunities in Q4 2026' , `url` = 'https://www.setmal.asia/global-capital-flow-2026-q4-asset-allocation-new-opportunities' , `path` = '/global-capital-flow-2026-q4-asset-allocation-new-opportunities' , `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` = '216.73.216.248' , `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` = 1791018081 , `update_time` = 1791018081 [ RunTime:0.009556s ]
  32. SHOW FULL COLUMNS FROM `g3ys_comment` [ RunTime:0.003965s ]
  33. SELECT COUNT(*) AS think_count FROM `g3ys_comment` WHERE `target_id` = '7398' AND `pid` = '0' [ RunTime:0.001175s ]
  34. SHOW FULL COLUMNS FROM `g3ys_model` [ RunTime:0.004105s ]
  35. SELECT `id`,`name`,`title`,`field_group` FROM `g3ys_model` WHERE `extend` = 0 AND `id` <> 1 AND `subsite_id` IN ('0','37') AND `status` = 1 [ RunTime:0.001254s ]
  36. SHOW TABLES LIKE 'g3ys_paragraph' [ RunTime:0.002369s ]
  37. SHOW TABLES LIKE 'g3ys_paragraph_lang' [ RunTime:0.002106s ]
  38. SHOW TABLES LIKE 'g3ys_gallery' [ RunTime:0.002066s ]
  39. SHOW TABLES LIKE 'g3ys_gallery_lang' [ RunTime:0.002681s ]
  40. SHOW TABLES LIKE 'g3ys_video' [ RunTime:0.002377s ]
  41. SHOW TABLES LIKE 'g3ys_video_lang' [ RunTime:0.002011s ]
  42. SHOW TABLES LIKE 'g3ys_faq' [ RunTime:0.002044s ]
  43. SHOW TABLES LIKE 'g3ys_faq_lang' [ RunTime:0.001981s ]
  44. SHOW TABLES LIKE 'g3ys_blockquote' [ RunTime:0.002052s ]
  45. SHOW TABLES LIKE 'g3ys_blockquote_lang' [ RunTime:0.002036s ]
  46. SHOW TABLES LIKE 'g3ys_cards' [ RunTime:0.002383s ]
  47. SHOW TABLES LIKE 'g3ys_cards_lang' [ RunTime:0.002051s ]
  48. SHOW TABLES LIKE 'g3ys_objects' [ RunTime:0.002502s ]
  49. SHOW TABLES LIKE 'g3ys_objects_lang' [ RunTime:0.002025s ]
  50. SHOW TABLES LIKE 'g3ys_videos' [ RunTime:0.001931s ]
  51. SHOW TABLES LIKE 'g3ys_videos_lang' [ RunTime:0.001949s ]
  52. SHOW TABLES LIKE 'g3ys_audios' [ RunTime:0.002007s ]
  53. SHOW TABLES LIKE 'g3ys_audios_lang' [ RunTime:0.002110s ]
  54. SHOW TABLES LIKE 'g3ys_files' [ RunTime:0.002050s ]
  55. SHOW TABLES LIKE 'g3ys_files_lang' [ RunTime:0.002788s ]
  56. SHOW TABLES LIKE 'g3ys_richmedia' [ RunTime:0.002732s ]
  57. SHOW TABLES LIKE 'g3ys_richmedia_lang' [ RunTime:0.002936s ]
  58. SHOW FULL COLUMNS FROM `g3ys_paragraph` [ RunTime:0.002240s ]
  59. SELECT * FROM `g3ys_paragraph` WHERE `document_id` = 7398 AND `subsite_id` = '37' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001057s ]
  60. SHOW FULL COLUMNS FROM `g3ys_gallery` [ RunTime:0.001915s ]
  61. SELECT * FROM `g3ys_gallery` WHERE `document_id` = 7398 AND `subsite_id` = 37 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000937s ]
  62. SHOW FULL COLUMNS FROM `g3ys_video` [ RunTime:0.001885s ]
  63. SELECT * FROM `g3ys_video` WHERE `document_id` = 7398 AND `subsite_id` = 37 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000961s ]
  64. SHOW FULL COLUMNS FROM `g3ys_faq` [ RunTime:0.002248s ]
  65. SELECT * FROM `g3ys_faq` WHERE `document_id` = 7398 AND `subsite_id` = 37 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000986s ]
  66. SHOW FULL COLUMNS FROM `g3ys_blockquote` [ RunTime:0.002091s ]
  67. SELECT * FROM `g3ys_blockquote` WHERE `document_id` = 7398 AND `subsite_id` = 37 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001010s ]
  68. SHOW FULL COLUMNS FROM `g3ys_cards` [ RunTime:0.002743s ]
  69. SELECT * FROM `g3ys_cards` WHERE `document_id` = 7398 AND `subsite_id` = '37' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001244s ]
  70. SHOW FULL COLUMNS FROM `g3ys_objects` [ RunTime:0.002162s ]
  71. SELECT * FROM `g3ys_objects` WHERE `document_id` = 7398 AND `subsite_id` = '37' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000961s ]
  72. SHOW FULL COLUMNS FROM `g3ys_videos` [ RunTime:0.002123s ]
  73. SELECT * FROM `g3ys_videos` WHERE `document_id` = 7398 AND `subsite_id` = '37' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001005s ]
  74. SHOW FULL COLUMNS FROM `g3ys_audios` [ RunTime:0.002124s ]
  75. SELECT * FROM `g3ys_audios` WHERE `document_id` = 7398 AND `subsite_id` = '37' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000971s ]
  76. SHOW FULL COLUMNS FROM `g3ys_files` [ RunTime:0.002052s ]
  77. SELECT * FROM `g3ys_files` WHERE `document_id` = 7398 AND `subsite_id` = '37' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000931s ]
  78. SHOW FULL COLUMNS FROM `g3ys_richmedia` [ RunTime:0.002126s ]
  79. SELECT * FROM `g3ys_richmedia` WHERE `document_id` = 7398 AND `subsite_id` = '37' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001043s ]
  80. SELECT * FROM `g3ys_document` WHERE `category_id` = 1434 AND `subsite_id` = 37 AND `pid` = '0' AND `status` = '1' AND ( ( sort > 0) or ( sort = 0 and id < 7398) ) ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.002088s ]
  81. SELECT * FROM `g3ys_document` WHERE `category_id` = 1434 AND `subsite_id` = 37 AND `pid` = '7374' AND `status` = '1' ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.001363s ]
  82. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '37' AND `lang` = 'en' AND `document_id` = '7374' [ RunTime:0.008620s ]
  83. SELECT * FROM `g3ys_document` WHERE `category_id` = 1434 AND `subsite_id` = 37 AND `pid` = '7398' AND `status` = '1' AND `document_type` = 0 ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001641s ]
  84. SELECT * FROM `g3ys_document` WHERE `category_id` = 1434 AND `subsite_id` = 37 AND `pid` = '0' AND `status` = '1' AND `document_type` = 0 AND ( ( sort>0 and sort <= 0 and id!=7398) or ( sort = 0 and id > 7398) ) ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001794s ]
  85. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001353s ]
  86. SHOW FULL COLUMNS FROM `g3ys_ad_location` [ RunTime:0.002736s ]
  87. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-detail-full' AND `subsite_id` = '37' AND `status` = 1 LIMIT 1 [ RunTime:0.000921s ]
  88. SHOW FULL COLUMNS FROM `g3ys_ad` [ RunTime:0.003238s ]
  89. SELECT * FROM `g3ys_ad` WHERE `subsite_id` = '37' AND `ad_location_id` = '70' AND `status` = 1 AND `device` IN ('all','pc') AND ( `start_time` = 0 OR `start_time` <= 1791018081 ) AND ( `end_time` = 0 OR `end_time` >= 1791018081 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.001355s ]
  90. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.002028s ]
  91. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 70 AND `subsite_id` = '37' AND `lang` = 'en' [ RunTime:0.000785s ]
  92. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.001825s ]
  93. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000800s ]
  94. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001016s ]
  95. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000767s ]
  96. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000778s ]
1.304565s