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2026 US Stock Investment Strategy Full Analysis

2026 US Stock Investment Strategy Full Analysis

In-Depth Analysis of the US Stock Market: 2026 Investment Strategy and Outlook

Keywords: US stocks, investment strategy, market analysis, 2026 outlook, Federal Reserve

Introduction

Since the global pandemic outbreak in 2020, the US stock market has experienced unprecedented volatility and turning points. From a strong recovery in 2021 to a sharp correction in 2022, and then structural divergence between 2023 and 2025, US stocks have always been a bellwether for global capital markets. Entering 2026, with the Federal Reserve's (Fed) monetary policy path gradually clarifying, the artificial intelligence (AI) industry chain continuing to ferment, and dynamic shifts in geopolitical risks, the US stock market stands at a critical crossroads. This article provides a comprehensive professional analysis of the current US stock market from four dimensions: macroeconomic environment, major index performance, key influencing factors, and investment strategies, offering investors deep and forward-looking references.

I. Macroeconomic Environment: Fed Policy Shift and Inflation Trends

From late 2024 to 2025, the US inflation rate gradually fell from its peak but remained slightly above the Fed's 2% target. In early 2026, the core PCE price index grew at an annual rate fluctuating between 2.5% and 2.8%, indicating persistent inflation stickiness. The Fed cut interest rates three times in 2025, lowering the federal funds rate to the 4.25%-4.50% range, and paused rate cuts in the first quarter of 2026 to observe economic data. Markets generally expect that if the labor market cools or inflation further slows in the second half of 2026, the Fed may restart the rate-cutting cycle.

Notably, the US labor market remains robust, with the unemployment rate around 3.8% and average hourly earnings growing at an annual rate of about 4.2%, indicating that employment momentum has not fully weakened. However, the manufacturing PMI has been below the boom-bust line since Q4 2025, while the services PMI has remained expansionary, creating a structural imbalance of 'hot services, cold manufacturing.' This divergence has critical implications for different sectors of US stocks: consumer and tech stocks related to services gain support, while cyclical stocks such as industrials and materials face pressure from slowing demand.

Additionally, the US Treasury faces a large wave of debt maturities in 2026, reigniting the debt ceiling issue and potentially causing short-term market volatility. However, historically, debt ceiling negotiations often end in compromise, with limited long-term impact on the market. The real risk is that if bipartisan deadlock leads to a technical default, it could trigger a sharp spike in risk aversion, leading to a 5%-10% correction in US stocks.

II. Major Index and Sector Performance: Tech Stocks Lead, but Divergence Intensifies

US Major Index Trend Chart

As of April 2026, the S&P 500 is hovering around 5,800 points, up about 6.2% from the end of 2025; the Nasdaq Composite, benefiting from strong performance in AI-related stocks, has risen 9.8%; while the Dow Jones Industrial Average is up only 3.1%, dragged down by traditional cyclical stocks. The performance differences among the three major indices highlight the highly structural divergence in current US stocks.

At the sector level, the Magnificent Seven tech giants remain the core market driver. Nvidia, Microsoft, Google, and others have reported earnings generally exceeding expectations in Q1 2026 due to surging AI computing demand, pushing their stock prices to new highs. However, electric vehicle maker Tesla has underperformed the broader tech sector due to declining market share and intensified competition in China. In the consumer discretionary sector, Amazon and McDonald's have performed steadily, but retail giant Walmart faces some pressure from inventory issues.

On the other hand, the energy sector has been weak since 2026 due to falling international oil prices; the financial sector has seen limited gains as Fed rate cut expectations narrow net interest margins. The healthcare sector has become a top pick for defensive capital, especially the obesity drug leaders Eli Lilly and Novo Nordisk, which continue to expand market share, driving the pharmaceutical sub-sector to significantly outperform the broader market.

Notably, the small-cap index (Russell 2000) experienced a brief rebound in Q4 2025 but fell again in Q1 2026, indicating that market funds remain heavily concentrated in large-cap growth stocks rather than broadly participating in the economic recovery. This suggests that investor optimism about the economic outlook is still insufficient, reflecting more of a 'chase for certainty' mindset.

III. Key Influencing Factors: AI Wave, Geopolitics, and Corporate Earnings

3.1 AI Industry Chain: Full Diffusion from Hardware to Applications

2025 was hailed as the 'First Year of AI Applications,' and 2026 has entered the 'Accelerated Commercialization Period for AI.' Visibility for Nvidia's H200 and B200 chip orders extends to the first half of 2027, while competitor AMD's MI400 series has begun mass production. Although its market share still lags far behind Nvidia, it provides the market with more options. More importantly, AI applications have expanded from cloud computing to edge computing, autonomous driving, and medical imaging diagnostics. Microsoft's Copilot subscription revenue and Google's Gemini commercialization progress have exceeded expectations, boosting valuations in the software services sector.

However, high valuations also bring fragility. The S&P 500 information technology sector currently trades at a P/E ratio of about 32 times, well above the historical median of 22 times. If future AI-related earnings reports fail to sustain high growth expectations, the sector may face profit-taking pressure. Additionally, the US Department of Commerce may further tighten semiconductor export controls on China, which, while beneficial in the short term for domestic chipmakers, will disrupt global supply chains in the long run and add uncertainty.

3.2 Geopolitical Risks: Middle East and East Asia Situation

In 2026, tensions in the Middle East have not yet fully subsided. Although the probability of direct military conflict between Iran and Israel has decreased, security risks along the Red Sea shipping lane persist, keeping shipping costs elevated and pressuring global trade and supply chains. Meanwhile, the Taiwan Strait situation experienced volatility in Q2 2026 due to political events, triggering brief risk aversion in global financial markets. While the actual impact is limited, such incidents remind investors that geopolitical risk has become a normal factor and cannot be ignored.

Historical backtesting shows that geopolitical events typically cause short-term shocks to US stocks (average decline of 3% to 5%), but if they do not trigger a global recession, markets often recover within one to three months. Therefore, for long-term investors, buying the dip in quality assets is wiser than panic selling.

3.3 Corporate Earnings: Slowing Growth but Strong Structure

The Q1 2026 US earnings season is nearing its end, with S&P 500 constituent companies posting overall earnings growth of about 4.5% year-over-year, slightly below the 5.2% for full-year 2025. However, excluding the energy sector, earnings growth in other sectors reached 5.8%, with technology and healthcare contributing 2.1 and 1.5 percentage points, respectively. This reflects that earnings growth is shifting from broad-based benefits to selected areas.

Notably, corporate buyback activity in Q1 2026 rose 18% compared to the same period in 2025, indicating management confidence in their own stocks. Buyback funding sources include improved free cash flow and lower debt costs (due to rate cut expectations), providing additional support for stock prices. But caution is needed: if the economy slips into an unexpected recession, buyback intensity could quickly wane, removing an important source of market buying.

IV. Investment Strategy Recommendations: Steady Progress with a Focus on Core Tracks

Based on the above analysis, the investment strategy for US stocks in Q2 to the second half of 2026 should adhere to the principle of 'steady progress with a focus on core tracks,' balancing defense and growth. Specific recommendations are as follows:

First, maintain core holdings in AI-related tech giants. Nvidia, Microsoft, Google, and others possess monopolistic competitive advantages and strong cash flows. Even if valuations are high, they can serve as long-term core positions. However, avoid chasing highs; it is advisable to buy in batches during technical pullbacks (e.g., 5% to 10%).

Second, increase allocation to healthcare and consumer staples. If the economic slowdown exceeds expectations, defensive sectors will show resilience. Eli Lilly, UnitedHealth, and other pharmaceutical and insurance leaders, as well as consumer staple brands like Procter & Gamble and Coca-Cola, can provide stable dividend income and hedging functions.

Third, be cautious with small-cap growth stocks. The Russell 2000 index trades at a P/E of about 15 times, which looks cheap, but the earnings growth outlook is unclear. It is advisable to select only companies with unique technology or pharmaceutical R&D pipelines, avoiding blind bets on a broad recovery.

Fourth, use options strategies to manage volatility. For investors with high stock holdings, consider selling covered calls to generate premium income, or establish protective puts on index futures to guard against sharp declines triggered by geopolitical or policy events.

Fifth, closely monitor Fed moves and inflation data. Monthly CPI and PCE reports are catalysts for short-term market swings. If inflation cools faster than expected, the Fed may cut rates early, potentially triggering catch-up gains in financial and real estate sectors; conversely, if inflation rebounds, growth stocks should be reduced.

Conclusion

The 2026 US stock market continues the structural bull market driven by AI technology, while also layering in complex factors such as monetary policy shifts, geopolitical disruptions, and economic divergence. Overall, the macro environment still leans toward a 'soft landing' scenario, where economic growth slows but does not slip into recession, and the Fed eases moderately to maintain market liquidity. Against this backdrop, indices may exhibit a pattern of 'range-bound oscillation with gradual ascent,' with the S&P 500 estimated to gain between 8% and 12% for the full year.

However, investors must recognize that the current high divergence means 'stock selection' is far more important than 'market timing.' Blindly diversifying across the index may not yield excess returns. Only by deeply exploring industry trends and carefully selecting high-quality stocks can one seize structural opportunities amid volatility. The key questions ahead: Can AI commercialization continue to exceed expectations? Will the Fed's policy path deviate due to political pressure? The answers to these questions will determine the true direction of US stocks in the second half of 2026.

In any case, as the 'bellwether' of global capital markets, the inherent resilience and innovation momentum of US stocks remain strong. For investors with a long-term perspective, every deep correction is an opportunity to position for the future. Stay rational, adhere to discipline, and embrace trends to navigate uncertainty steadily.

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  1. CONNECT:[ UseTime:0.004250s ] mysql:host=127.0.0.1;port=3306;dbname=cjgpcs;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `g3ys_config` [ RunTime:0.010382s ]
  3. SELECT `value` FROM `g3ys_config` WHERE `name` = 'timezone' AND `subsite_id` = '37' LIMIT 1 [ RunTime:0.002689s ]
  4. SHOW FULL COLUMNS FROM `g3ys_route` [ RunTime:0.007754s ]
  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:0.003631s ]
  6. SHOW FULL COLUMNS FROM `g3ys_theme` [ RunTime:0.013758s ]
  7. SELECT `paginator` FROM `g3ys_theme` WHERE `module` = 'home' AND `name` = 'maju' AND `subsite_id` = '37' LIMIT 1 [ RunTime:0.002657s ]
  8. SHOW FULL COLUMNS FROM `g3ys_lang` [ RunTime:0.016085s ]
  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:0.005284s ]
  10. SHOW FULL COLUMNS FROM `g3ys_member` [ RunTime:0.025134s ]
  11. SELECT * FROM `g3ys_member` WHERE `id` = 0 AND `subsite_id` = '37' LIMIT 1 [ RunTime:0.004956s ]
  12. SHOW FULL COLUMNS FROM `g3ys_document` [ RunTime:0.014268s ]
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  14. SELECT * FROM `g3ys_document` WHERE ( `name` = '5498' OR `id` = '5498' ) AND `subsite_id` = 37 LIMIT 1 [ RunTime:0.014667s ]
  15. SHOW TABLES LIKE 'g3ys_document_article' [ RunTime:0.006458s ]
  16. SHOW FULL COLUMNS FROM `g3ys_document_article` [ RunTime:0.006890s ]
  17. SELECT * FROM `g3ys_document_article` WHERE `document_id` = '5498' LIMIT 1 [ RunTime:0.005752s ]
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  22. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '37' AND `lang` = 'en' AND `document_id` = '5498' [ RunTime:0.038830s ]
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  24. SHOW TABLES LIKE 'g3ys_category_lang' [ RunTime:0.012381s ]
  25. SHOW FULL COLUMNS FROM `g3ys_category_lang` [ RunTime:0.005576s ]
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  28. UPDATE `g3ys_total` SET `view_total` = `view_total` + 1 WHERE `target_id` = '5498' [ RunTime:0.002605s ]
  29. SHOW FULL COLUMNS FROM `g3ys_record` [ RunTime:0.007533s ]
  30. SELECT `id` FROM `g3ys_record` WHERE `subsite_id` = '37' AND `type` = 'article' AND `url` = 'https://www.setmal.asia/2026-us-stock-investment-strategy-analysis' AND `create_time` >= 1787569808 AND ( `visitor_id` = '385cead3f1e963cec2075f169efb753b' OR `session_id` = '3a898033ce89f6a0322534f69c200043' ) LIMIT 1 [ RunTime:0.002161s ]
  31. INSERT INTO `g3ys_record` SET `subsite_id` = '37' , `uid` = '0' , `visitor_id` = '385cead3f1e963cec2075f169efb753b' , `session_id` = '3a898033ce89f6a0322534f69c200043' , `type` = 'article' , `target_id` = '5498' , `target_type` = 0 , `category_id` = '1433' , `title` = '2026 US Stock Investment Strategy Full Analysis' , `url` = 'https://www.setmal.asia/2026-us-stock-investment-strategy-analysis' , `path` = '/2026-us-stock-investment-strategy-analysis' , `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` = '216.73.216.145' , `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` = 1787569868 , `update_time` = 1787569868 [ RunTime:0.010387s ]
  32. SHOW FULL COLUMNS FROM `g3ys_comment` [ RunTime:0.005315s ]
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  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 < 5498) ) ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.002588s ]
  35. SELECT * FROM `g3ys_document` WHERE `category_id` = 1433 AND `subsite_id` = 37 AND `pid` = '5498' AND `status` = '1' AND `document_type` = 0 ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.003659s ]
  36. 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!=5498) or ( sort = 0 and id > 5498) ) ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.002293s ]
  37. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '37' AND `lang` = 'en' AND `document_id` = '5499' [ RunTime:0.017640s ]
  38. 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:0.002198s ]
  39. SELECT * FROM `g3ys_total` WHERE `target_id` = '5498' LIMIT 1 [ RunTime:0.000809s ]
  40. SHOW FULL COLUMNS FROM `g3ys_ad_location` [ RunTime:0.003570s ]
  41. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-detail-full' AND `subsite_id` = '37' AND `status` = 1 LIMIT 1 [ RunTime:0.001105s ]
  42. SHOW FULL COLUMNS FROM `g3ys_ad` [ RunTime:0.004700s ]
  43. 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` <= 1787569868 ) AND ( `end_time` = 0 OR `end_time` >= 1787569868 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.001526s ]
  44. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.004142s ]
  45. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 70 AND `subsite_id` = '37' AND `lang` = 'en' [ RunTime:0.001035s ]
  46. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.003674s ]
  47. 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:0.000980s ]
  48. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-right' AND `subsite_id` = '37' AND `status` = 1 LIMIT 1 [ RunTime:0.001056s ]
  49. 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` <= 1787569868 ) AND ( `end_time` = 0 OR `end_time` >= 1787569868 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.001209s ]
  50. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 72 AND `subsite_id` = '37' AND `lang` = 'en' [ RunTime:0.002435s ]
  51. 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:0.001516s ]
  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:0.001053s ]
  53. SELECT * FROM `g3ys_total` WHERE `target_id` = '6590' LIMIT 1 [ RunTime:0.000957s ]
  54. 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:0.000989s ]
  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:0.001038s ]
  56. SELECT * FROM `g3ys_total` WHERE `target_id` = '6585' LIMIT 1 [ RunTime:0.000908s ]
  57. 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:0.001038s ]
  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:0.001018s ]
  59. SELECT * FROM `g3ys_total` WHERE `target_id` = '6549' LIMIT 1 [ RunTime:0.001289s ]
  60. 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:0.001134s ]
  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:0.001522s ]
  62. SELECT * FROM `g3ys_total` WHERE `target_id` = '6534' LIMIT 1 [ RunTime:0.001141s ]
  63. 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:0.001129s ]
  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:0.001029s ]
  65. SELECT * FROM `g3ys_total` WHERE `target_id` = '6489' LIMIT 1 [ RunTime:0.000775s ]
  66. 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:0.002886s ]
  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:0.001080s ]
  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:0.000835s ]
  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:0.000680s ]
  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:0.000685s ]
  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:0.000653s ]
  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:0.000671s ]
  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:0.000705s ]
  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:0.000706s ]
  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:0.000964s ]
  76. SHOW FULL COLUMNS FROM `g3ys_tags` [ RunTime:0.003347s ]
  77. SELECT * FROM `g3ys_tags` WHERE `subsite_id` = 37 AND `status` = 1 ORDER BY `sort` DESC,`id` DESC LIMIT 15 [ RunTime:0.002632s ]
  78. SHOW FULL COLUMNS FROM `g3ys_tags_lang` [ RunTime:0.001710s ]
  79. 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:0.001087s ]
  80. 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:0.000697s ]
  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:0.000761s ]
  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:0.000669s ]
  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:0.000718s ]
1.069704s