2026年08月13日 Thursday Focus on Cross-border Investment in Malaysia and Southeast Asia
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Global Capital Migration: Reshaping Asset Allocation in the Second Half of 2026

Global Capital Migration: Reshaping Asset Allocation in the Second Half of 2026

In an era of deep integration between globalization and digitalization, the speed and scale of global capital flows are unprecedented. In the second half of 2026, as the global economic landscape undergoes profound changes, an unprecedented global capital migration is quietly unfolding. From US stocks to European bonds, from emerging markets to safe-haven assets, the reallocation of capital is reshaping the global investment landscape. This article will provide an in-depth analysis of the driving factors, development trends, and important implications for investors behind this phenomenon.

Macroeconomic Background of Global Capital Migration

In 2026, the global economy is at a critical turning point. According to the latest report from the International Monetary Fund (IMF), despite maintaining growth, the global economy's growth rate has significantly slowed, with an annual growth rate expected to be only 3.2%. At the same time, global inflationary pressures persist, and monetary policies of major central banks are significantly differentiated. These factors collectively form the macroeconomic background of global capital migration.

Against this backdrop, the logic of asset allocation for investors is undergoing fundamental changes. The traditional pattern of "US stocks dominating" is being broken, and the value of diversified allocation is being rerecognized by the market. Goldman Sachs' latest research shows that the concentrated pattern of US stocks in global asset allocation over the past 15 years is disintegrating, with global capital accelerating to flow into other markets, and the value of diversified allocation making a full comeback.

Main Directions of Capital Migration

From US Stocks to European Bonds: The Shift in Safe-Haven Logic

For a long time, US Treasury bonds have been the preferred safe-haven asset for global capital due to their safety and liquidity. However, in the second half of 2026, this traditional pattern is undergoing significant changes. With the continuous expansion of the US fiscal deficit and the relatively low yields of US Treasuries, European bonds, especially German government bonds, are gradually becoming the new favorite of global capital.

Data shows that in the first half of 2026, the European bond market attracted record capital inflows, with the yield advantage of German government bonds being particularly significant. Analysts point out that this shift reflects investors' reassessment of global economic prospects and expectations of a monetary policy shift by the European Central Bank. The interest rate cut signals released by the European Central Bank in the summer of 2026 have significantly enhanced the attractiveness of European bonds relative to US Treasuries.

Revaluation of Emerging Markets

In the landscape of capital migration, emerging markets are undergoing a revaluation. With the diversification of the global economic landscape, Asian, Latin American, and some African economies are showing strong growth potential, attracting renewed global attention.

Particularly, the Chinese bond market and Indian stock market are becoming key areas for foreign investment allocation. Data shows that in the first half of 2026, foreign investors continued to increase their holdings of Chinese government bonds, giving high marks to the stability of the Chinese economy and policy space. Meanwhile, India, with its demographic dividend and achievements in digital transformation, has shown outstanding stock market performance, accelerating the inflow of international capital.

The Dual Track of Gold and Cryptocurrencies as Safe-Haven Assets

In an environment of increasing uncertainty, traditional safe-haven assets like gold and emerging safe-haven assets like cryptocurrencies are forming a "dual-track parallel" pattern. Global central banks continue to increase gold reserves, with global central bank gold purchases reaching a historic high in the first half of 2026, pushing gold prices toward historic highs.

At the same time, the cryptocurrency market is also seeing widespread participation from institutional investors. Bitcoin prices broke through the $150,000 mark, reaching a historic high, driven by both safe-haven funds and institutional positioning. More and more institutional investors are including cryptocurrencies in their asset allocation portfolios, seeking diversified sources of returns beyond traditional assets.

Driving Factors of Capital Migration

Reshaping of Geopolitical Landscape

In 2026, the profound changes in the geopolitical landscape are important factors driving global capital migration. The ongoing Russia-Ukraine conflict, subtle changes in US-China relations, and turmoil in the Middle East are reshaping the paths of global capital flows. Investors are paying more attention to the impact of geopolitical risks on asset values, prompting capital to flow toward relatively stable markets and asset categories with policy support.

For example, Japanese assets have attracted foreign investment追捧 in 2026, with Japanese stocks and real estate becoming new favorites in global allocation. This is mainly due to Japan's relatively stable political environment, proactive economic reform measures, and the yen's attributes as a safe-haven currency.

The Capital Expenditure Inflection Point of AI Technology Revolution

The revolutionary breakthroughs in artificial intelligence technology are triggering the reallocation of global capital expenditures. In the second half of 2026, an inflection point in AI capital expenditures is emerging, with foreign investors collectively shifting to balanced allocation, and investment logic undergoing comprehensive changes in the second half. The investment boom in AI computing power, data centers, semiconductors, and related fields is changing the flow and allocation structure of global capital.

Taking data center REITs (Real Estate Investment Trusts) as an example, benefiting from the explosive growth in AI computing power demand, the global REIT market is entering a golden age. The dual engines of interest rate cut expectations and valuation recovery are driving large-scale capital回流 to data center-related REITs, driving their outstanding price performance.

Differentiated Monetary Policies and Economic Cycle Misalignment

The differentiation of monetary policies among major global central banks is another important driving factor of capital migration. In 2026, the Federal Reserve is in an interest rate cut cycle, while the European Central Bank and the Bank of Japan are relatively lagging. This policy differentiation leads to changes in interest rate differentials, which in turn affect cross-border capital flows.

The US July non-farm employment data showed a cooling job market, with the unemployment rate soaring to 4.6%. This data strengthened market expectations of a 2-point interest rate cut by the Federal Reserve in September. Changes in monetary policy expectations are reshaping global investors' risk appetite and asset allocation decisions.

Implications and Recommendations for Investors

The Return of Value in Diversified Allocation

The most important implication of the global capital migration is that the value of diversified allocation is making a full comeback. The era of concentrated investment in a single market is ending, and investors need to reassess their asset allocation strategies to build more balanced and diversified investment portfolios.

Specifically, investors should consider reducing reliance on a single market and appropriately increasing allocation to European bonds, emerging market assets, gold, and a proper proportion of cryptocurrencies. At the same time, in stock allocation, attention should also be paid to balanced allocation across different regions, industries, and market capitalization styles.

Focus on Structural Opportunities

Against the backdrop of global capital migration, structural opportunities are particularly worth noting. AI-driven industrial transformation, the rise of ESG investment, and the boom in infrastructure investment all provide unique structural opportunities for investors.

For example, the AI-driven M&A wave continued to heat up in 2026, with transaction volume expected to reach $4 trillion. This trend will reshape the competitive landscape of related industries, bringing substantial returns to savvy investors. Similarly, ESG and infrastructure investment are becoming new trends in global asset allocation, and investment opportunities in these areas deserve special attention.

Enhanced Importance of Risk Management

During the process of global capital migration, market volatility and uncertainty have significantly increased, making the importance of risk management unprecedented. Investors need to establish a more comprehensive risk management system, including setting reasonable stop-loss points, diversifying investments, and using financial derivatives to hedge risks.

At the same time, investors should also closely monitor changes in global economic indicators such as GDP growth, inflation data, and employment reports, and adjust investment strategies in a timely manner. During critical periods of economic cycle transitions, flexibility and adaptability will become key factors for investment success.

Conclusion

The global capital migration in the second half of 2026 is not just a change in the direction of capital flows, but a reshaping of global investment philosophies and landscapes. Driven by multiple factors such as geopolitics, technological revolution, and monetary policy, global asset allocation is developing in a more diversified and balanced direction.

For investors, this trend is both a challenge and an opportunity. By building diversified and balanced asset portfolios, focusing on structural opportunities, and strengthening risk management, investors can seize opportunities in this global capital migration and achieve steady wealth growth.

Looking ahead, as the global economic landscape continues to evolve and technological innovation advances, the patterns of global capital flows will continue to evolve. Investors need to maintain keen market insight and flexible adaptability to remain invincible in this transformation of global asset allocation.

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  1. CONNECT:[ UseTime:0.003310s ] mysql:host=127.0.0.1;port=3306;dbname=cjgpcs;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `g3ys_config` [ RunTime:0.010690s ]
  3. SELECT `value` FROM `g3ys_config` WHERE `name` = 'timezone' AND `subsite_id` = '37' LIMIT 1 [ RunTime:0.001248s ]
  4. SHOW FULL COLUMNS FROM `g3ys_route` [ RunTime:0.002753s ]
  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:0.000775s ]
  6. SHOW FULL COLUMNS FROM `g3ys_theme` [ RunTime:0.003883s ]
  7. SELECT `paginator` FROM `g3ys_theme` WHERE `module` = 'home' AND `name` = 'maju' AND `subsite_id` = '37' LIMIT 1 [ RunTime:0.000848s ]
  8. SHOW FULL COLUMNS FROM `g3ys_lang` [ RunTime:0.003706s ]
  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:0.001295s ]
  10. SHOW FULL COLUMNS FROM `g3ys_member` [ RunTime:0.004244s ]
  11. SELECT * FROM `g3ys_member` WHERE `id` = 0 AND `subsite_id` = '37' LIMIT 1 [ RunTime:0.000915s ]
  12. SHOW FULL COLUMNS FROM `g3ys_document` [ RunTime:0.004353s ]
  13. SELECT `id`,`document_type` FROM `g3ys_document` WHERE `subsite_id` = 37 AND `name` = 'global-capital-migration-2026-asset-allocation' AND `status` IN ('1','2') LIMIT 1 [ RunTime:0.002544s ]
  14. SELECT * FROM `g3ys_document` WHERE ( `name` = '6590' OR `id` = '6590' ) AND `subsite_id` = 37 LIMIT 1 [ RunTime:0.006732s ]
  15. SHOW TABLES LIKE 'g3ys_document_article' [ RunTime:0.002762s ]
  16. SHOW FULL COLUMNS FROM `g3ys_document_article` [ RunTime:0.001639s ]
  17. SELECT * FROM `g3ys_document_article` WHERE `document_id` = '6590' LIMIT 1 [ RunTime:0.000743s ]
  18. SHOW FULL COLUMNS FROM `g3ys_total` [ RunTime:0.002135s ]
  19. SELECT * FROM `g3ys_total` WHERE `target_id` = '6590' LIMIT 1 [ RunTime:0.000705s ]
  20. SHOW TABLES LIKE 'g3ys_document_article_lang' [ RunTime:0.002204s ]
  21. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.001880s ]
  22. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '37' AND `lang` = 'en' AND `document_id` = '6590' [ RunTime:0.005920s ]
  23. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.002317s ]
  24. SHOW TABLES LIKE 'g3ys_category_lang' [ RunTime:0.002095s ]
  25. SHOW FULL COLUMNS FROM `g3ys_category_lang` [ RunTime:0.001816s ]
  26. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '37' AND `category_id` = '1433' AND `lang` = 'en' LIMIT 1 [ RunTime:0.000775s ]
  27. SELECT * FROM `g3ys_total` WHERE `target_id` = '6590' LIMIT 1 [ RunTime:0.000674s ]
  28. UPDATE `g3ys_total` SET `view_total` = `view_total` + 1 WHERE `target_id` = '6590' [ RunTime:0.001892s ]
  29. SHOW FULL COLUMNS FROM `g3ys_record` [ RunTime:0.003798s ]
  30. SELECT `id` FROM `g3ys_record` WHERE `subsite_id` = '37' AND `type` = 'article' AND `url` = 'https://www.setmal.asia/global-capital-migration-2026-asset-allocation' AND `create_time` >= 1786593035 AND ( `visitor_id` = '8c08d59403d1653ccdf6b68f0f438b57' OR `session_id` = '6f01838c2eceb3bb0894ae078d348b58' ) LIMIT 1 [ RunTime:0.001246s ]
  31. INSERT INTO `g3ys_record` SET `subsite_id` = '37' , `uid` = '0' , `visitor_id` = '8c08d59403d1653ccdf6b68f0f438b57' , `session_id` = '6f01838c2eceb3bb0894ae078d348b58' , `type` = 'article' , `target_id` = '6590' , `target_type` = 0 , `category_id` = '1433' , `title` = 'Global Capital Migration: Reshaping Asset Allocation in the Second Half of 2026' , `url` = 'https://www.setmal.asia/global-capital-migration-2026-asset-allocation' , `path` = '/global-capital-migration-2026-asset-allocation' , `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` = '216.73.216.241' , `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` = 1786593095 , `update_time` = 1786593095 [ RunTime:0.007296s ]
  32. SHOW FULL COLUMNS FROM `g3ys_comment` [ RunTime:0.003371s ]
  33. SELECT COUNT(*) AS think_count FROM `g3ys_comment` WHERE `target_id` = '6590' AND `pid` = '0' [ RunTime:0.000730s ]
  34. SELECT * FROM `g3ys_document` WHERE `category_id` = 1433 AND `subsite_id` = 37 AND `pid` = '0' AND `status` = '1' AND ( ( sort > 0) or ( sort = 0 and id < 6590) ) ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.001368s ]
  35. SELECT * FROM `g3ys_document` WHERE `category_id` = 1433 AND `subsite_id` = 37 AND `pid` = '6489' AND `status` = '1' ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.001241s ]
  36. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '37' AND `lang` = 'en' AND `document_id` = '6489' [ RunTime:0.006122s ]
  37. SELECT * FROM `g3ys_document` WHERE `category_id` = 1433 AND `subsite_id` = 37 AND `pid` = '6590' AND `status` = '1' AND `document_type` = 0 ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001591s ]
  38. SELECT * FROM `g3ys_document` WHERE `category_id` = 1433 AND `subsite_id` = 37 AND `pid` = '0' AND `status` = '1' AND `document_type` = 0 AND ( ( sort>0 and sort <= 0 and id!=6590) or ( sort = 0 and id > 6590) ) ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.002359s ]
  39. 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:0.001257s ]
  40. SELECT * FROM `g3ys_total` WHERE `target_id` = '6590' LIMIT 1 [ RunTime:0.000740s ]
  41. SHOW FULL COLUMNS FROM `g3ys_ad_location` [ RunTime:0.002450s ]
  42. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-detail-full' AND `subsite_id` = '37' AND `status` = 1 LIMIT 1 [ RunTime:0.000897s ]
  43. SHOW FULL COLUMNS FROM `g3ys_ad` [ RunTime:0.002467s ]
  44. 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` <= 1786593095 ) AND ( `end_time` = 0 OR `end_time` >= 1786593095 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.001010s ]
  45. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.001774s ]
  46. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 70 AND `subsite_id` = '37' AND `lang` = 'en' [ RunTime:0.000875s ]
  47. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.002180s ]
  48. 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:0.000734s ]
  49. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-right' AND `subsite_id` = '37' AND `status` = 1 LIMIT 1 [ RunTime:0.001183s ]
  50. SELECT * FROM `g3ys_ad` WHERE `subsite_id` = '37' AND `ad_location_id` = '72' AND `status` = 1 AND `device` IN ('all','pc') AND ( `start_time` = 0 OR `start_time` <= 1786593095 ) AND ( `end_time` = 0 OR `end_time` >= 1786593095 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.001063s ]
  51. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 72 AND `subsite_id` = '37' AND `lang` = 'en' [ RunTime:0.000726s ]
  52. 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:0.000794s ]
  53. 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:0.000725s ]
  54. SELECT * FROM `g3ys_total` WHERE `target_id` = '6088' LIMIT 1 [ RunTime:0.000640s ]
  55. 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:0.000685s ]
  56. 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:0.000666s ]
  57. SELECT * FROM `g3ys_total` WHERE `target_id` = '6071' LIMIT 1 [ RunTime:0.000729s ]
  58. 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:0.000884s ]
  59. 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:0.000746s ]
  60. SELECT * FROM `g3ys_total` WHERE `target_id` = '6056' LIMIT 1 [ RunTime:0.000660s ]
  61. 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:0.000751s ]
  62. 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:0.000833s ]
  63. SELECT * FROM `g3ys_total` WHERE `target_id` = '6050' LIMIT 1 [ RunTime:0.000614s ]
  64. 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:0.000728s ]
  65. 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:0.000746s ]
  66. SELECT * FROM `g3ys_total` WHERE `target_id` = '6002' LIMIT 1 [ RunTime:0.000615s ]
  67. 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:0.000731s ]
  68. 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:0.000779s ]
  69. 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:0.000798s ]
  70. 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:0.000720s ]
  71. 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:0.000685s ]
  72. 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:0.000684s ]
  73. 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:0.000678s ]
  74. 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:0.000700s ]
  75. 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:0.000706s ]
  76. 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:0.000656s ]
  77. SHOW FULL COLUMNS FROM `g3ys_tags` [ RunTime:0.002375s ]
  78. SELECT * FROM `g3ys_tags` WHERE `subsite_id` = 37 AND `status` = 1 ORDER BY `sort` DESC,`id` DESC LIMIT 15 [ RunTime:0.002829s ]
  79. SHOW FULL COLUMNS FROM `g3ys_tags_lang` [ RunTime:0.002580s ]
  80. SELECT * FROM `g3ys_tags_lang` WHERE `tags_id` IN (364,363,361,359,358,357,356,355,354,353,352,351,350,349,348) AND `subsite_id` = 37 AND `lang` = 'en' [ RunTime:0.001359s ]
  81. 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:0.000911s ]
  82. 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:0.000770s ]
  83. 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:0.001049s ]
  84. 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:0.001066s ]
0.637974s