New Paradigm of US Stock Short-term Trading Strategies in 2026: A Practical Guide for Southeast Asian Investors

2026-08-09 05:53 22 Reading US Stock Bootcamp

New Paradigm of US Stock Short-term Trading Strategies in 2026: A Practical Guide for Southeast Asian Investors

Against the backdrop of increasingly complex global financial markets, US stock short-term trading strategies are undergoing unprecedented changes. For Southeast Asian investors, mastering trading methods that suit their risk preferences and time commitment has become crucial for achieving consistent returns in the US stock market. This article will delve into the new trends, practical strategies, and risk management frameworks for US stock short-term trading in 2026, providing Southeast Asian investors with a systematic practical guide.

I. Characteristics of the US Stock Market Environment in 2026

The US stock market in 2026 exhibits several significant features: First, the Federal Reserve's monetary policy has entered a new cycle stage, with changes in the interest rate environment bringing new volatility patterns to the market. Second, the widespread application of artificial intelligence and quantitative trading technologies has transformed traditional market structures and trading ecosystems. Third, geopolitical risks and global supply chain restructuring continue to impact market sentiment, leading to accelerated sector rotation.

According to market data, the average daily trading volume of US stocks in the first half of 2026 increased by 15% compared to the same period in 2025, with short-term trading accounting for 35%, reaching a historic high. This trend reflects the importance of short-term trading in the current market environment while also placing higher demands on traders' professional capabilities.

II. Advantages and Challenges for Southeast Asian Investors in US Stock Short-term Trading

For Southeast Asian investors, participating in US stock short-term trading offers unique advantages. First, the time zone difference between Southeast Asia and the US stock market creates complementary conditions, providing longer observation windows for certain short-term trading strategies. Second, investors in Southeast Asia generally possess strong cross-cultural adaptability, enabling them to better understand global market dynamics.

However, challenges also exist. Factors such as language barriers, time zone impacts, limited access to market information, and cross-border capital flow restrictions can all become obstacles for Southeast Asian investors engaging in US stock short-term trading. Additionally, the lack of systematic professional training and practical experience is a common problem faced by many Southeast Asian investors.

III. Core Strategies for US Stock Short-term Trading in 2026

1. Technical Analysis-based Short-term Strategies

As the foundation of short-term trading, technical analysis has shown new development trends in 2026. Traditional methods such as support-resistance analysis and trend line judgment remain effective but need to be optimized with machine learning algorithms. Here are several technical analysis strategies suitable for Southeast Asian investors:

  • Multi-timeframe Analysis: Combining daily, 4-hour, and 1-hour charts to improve signal accuracy. For example, determine trend direction at the daily level and find entry points at the 1-hour level.
  • Volume Confirmation: Pay attention to volume changes when prices break through key levels to avoid false breakouts. Increased volume typically indicates a higher probability of trend continuation.
  • RSI Optimization: Adjust RSI parameters based on market volatility to improve signal accuracy in ranging markets. 2026 data shows that optimized RSI strategies have a 12% higher win rate than traditional methods.
  • Volatility Breakout Strategy: Use Bollinger Bands and Average True Range (ATR) to identify price breakout opportunities, especially suitable for high-volatility periods such as earnings releases.

2. News Event-based Short-term Trading

The market environment in 2026 makes news event-based short-term trading strategies more important. Here are several practical news trading strategies:

  • Earnings Report Trading Strategy: Research a company's historical earnings performance and market expectations in advance, position before the earnings release, and typically complete trading within 30 minutes after the release.
  • Economic Data Reaction Strategy: Monitor important economic data releases such as Federal Reserve interest rate decisions and non-farm employment data, and set stop-loss and take-profit points in advance.
  • Mergers and Acquisitions Trading: Monitor merger announcements of listed companies and profit from short-term price volatility caused by information asymmetry.
  • Industry Policy Change Trading: Pay attention to the impact of regulatory policy changes on specific sectors, such as energy policies and tech regulations.

3. Quantitative and Algorithmic Trading Strategies

With the popularization of artificial intelligence technology, quantitative trading has become an important component of short-term trading. For Southeast Asian investors, the following strategies can be adopted:

  • Statistical Arbitrage Strategy: Find highly correlated stock pairs and trade when prices deviate from historical means.
  • Mean Reversion Strategy: Trade based on statistical characteristics of price volatility when prices deviate from the mean.
  • Machine Learning Prediction Models: Use historical data to train prediction models and identify short-term price movement patterns.

It should be noted that quantitative trading requires certain programming skills and data acquisition capabilities. Beginners are advised to use mature quantitative trading platforms or participate in professional training courses.

IV. Risk Management Framework

The success of short-term trading largely depends on risk management capabilities. Here is a risk management framework suitable for Southeast Asian investors:

1. Capital Management

  • Position Control: Risk per trade should not exceed 1-2% of total capital, and maximum position should not exceed 20% of total capital.
  • Diversified Investment: Avoid concentrating capital in a few stocks or a single industry, diversify into at least 5-10 uncorrelated sectors.
  • Equity Curve Management: Adjust position size based on trading performance, increase positions when win rate is high, and decrease positions during consecutive losses.

2. Stop-loss Strategies

  • Technical Stop-loss: Set stop-loss points based on technical indicators such as support levels and moving averages.
  • Time Stop-loss: Set maximum holding time to avoid short-term positions becoming long-term holdings.
  • Volatility Stop-loss: Dynamically adjust stop-loss range based on market volatility, appropriately widening stops in high-volatility markets.

3. Psychological Risk Management

  • Trading Journal: Record the reasons, process, and results of each trade in detail, and review and analyze regularly.
  • Emotion Management: Avoid making trading decisions during emotional fluctuations, establish a cooling-off mechanism.
  • Expectation Management: Set reasonable profit targets to avoid greed and fear affecting judgment.

V. Practical Case Analysis

Case 1: Technology Stock Earnings Trading

In the second quarter of 2026, a Southeast Asian investor noticed that a cloud computing company was about to release its earnings report. By analyzing historical earnings data and market expectations, the investor found that the company's stock price had an average fluctuation of 15% after its last four earnings reports. The investor bought related options one day in advance and closed the position profitably within 30 minutes after the earnings release, achieving a return of 28% on a single trade.

Case 2: Industry Policy Change Trading

In May 2026, the US government announced new tax incentive policies for the new energy industry. A Southeast Asian investor researched the companies that would benefit most from these policies and bought related stocks immediately after the policy announcement, then closed the position profitably when the policy details were implemented a week later, achieving an 18% return.

VI. Practical Recommendations for Southeast Asian Investors

1. Learning Path

  • Basic Stage: Learn basic knowledge of the US stock market, trading rules, and basic analysis tools, recommended for 1-2 months.
  • Technical Analysis Stage: Master the basic principles of technical analysis and common indicators, recommended for 2-3 months.
  • Strategy Development Stage: Develop trading strategies suitable for your personal style, recommended for 3-6 months.
  • Practical Trading Stage: Start with small capital and gradually accumulate practical experience while continuously optimizing strategies.

2. Practical Tool Recommendations

  • Trading Platform: Choose a trading platform that supports Southeast Asia, has reasonable fees, and comprehensive functions.
  • Data Sources: Access paid data services for real-time quotes, news, and research reports.
  • Analysis Software: Use professional technical analysis software and quantitative backtesting tools.
  • Community Resources: Join investor communities to exchange experiences and strategies with other traders.

VII. Future Trends and Outlook

Looking ahead, US stock short-term trading will show the following trends: First, the application of artificial intelligence and big data technologies will further deepen, making trading decisions more data-driven. Second, changes in the regulatory environment may affect short-term trading strategies, especially in the high-frequency trading sector. Third, the interconnection of global markets will strengthen, providing more abundant cross-market arbitrage opportunities.

For Southeast Asian investors, seizing these trend changes and continuously improving professional capabilities will be key to achieving consistent returns in the US stock market. At the same time, it is also necessary to pay attention to geopolitical risks and regulatory changes and prepare risk prevention measures.

Conclusion

The US stock short-term trading environment in 2026 is full of opportunities as well as challenges. Through systematic learning, scientific strategies, and strict risk control, Southeast Asian investors can certainly succeed in this field. The framework and suggestions provided in this article hope to offer valuable references for investors and help achieve better performance in US stock market short-term trading.

Remember, short-term trading is an art that requires continuous learning and practice; there is no one-size-fits-all "holy grail" strategy. Only by continuously adapting to market changes and optimizing trading methods can one remain invincible in the fierce market competition.

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

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  1. CONNECT:[ UseTime:0.002388s ] mysql:host=127.0.0.1;port=3306;dbname=cjgpcs;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `g3ys_config` [ RunTime:0.003542s ]
  3. SELECT `value` FROM `g3ys_config` WHERE `name` = 'timezone' AND `subsite_id` = '26' LIMIT 1 [ RunTime:0.001129s ]
  4. SHOW FULL COLUMNS FROM `g3ys_route` [ RunTime:0.004571s ]
  5. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001340s ]
  6. SHOW FULL COLUMNS FROM `g3ys_theme` [ RunTime:0.005211s ]
  7. SELECT `paginator` FROM `g3ys_theme` WHERE `module` = 'home' AND `name` = 'scientex' AND `subsite_id` = '26' LIMIT 1 [ RunTime:0.001100s ]
  8. SHOW FULL COLUMNS FROM `g3ys_lang` [ RunTime:0.005256s ]
  9. SELECT * FROM `g3ys_lang` WHERE `subsite_id` = 26 AND ( ( LOWER(name) = 'en-us' ) OR `subtag` = 'en-us' ) AND `status` = 1 ORDER BY `id` ASC LIMIT 1 [ RunTime:0.002113s ]
  10. SHOW FULL COLUMNS FROM `g3ys_member` [ RunTime:0.007274s ]
  11. SELECT * FROM `g3ys_member` WHERE `id` = 0 AND `subsite_id` = '26' LIMIT 1 [ RunTime:0.001556s ]
  12. SHOW FULL COLUMNS FROM `g3ys_document` [ RunTime:0.008741s ]
  13. SELECT `id`,`document_type` FROM `g3ys_document` WHERE `subsite_id` = 26 AND `name` = 'us-stock-short-term-strategies-guide-2026' AND `status` IN ('1','2') LIMIT 1 [ RunTime:0.007305s ]
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  15. SHOW TABLES LIKE 'g3ys_document_article' [ RunTime:0.006206s ]
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  17. SELECT * FROM `g3ys_document_article` WHERE `document_id` = '6405' LIMIT 1 [ RunTime:0.003764s ]
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  19. SELECT * FROM `g3ys_total` WHERE `target_id` = '6405' LIMIT 1 [ RunTime:0.001153s ]
  20. SHOW TABLES LIKE 'g3ys_document_article_lang' [ RunTime:0.005237s ]
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  22. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '26' AND `lang` = 'en-US' AND `document_id` = '6405' [ RunTime:0.015187s ]
  23. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.003797s ]
  24. SHOW TABLES LIKE 'g3ys_category_lang' [ RunTime:0.004401s ]
  25. SHOW FULL COLUMNS FROM `g3ys_category_lang` [ RunTime:0.003237s ]
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  27. SELECT * FROM `g3ys_total` WHERE `target_id` = '6405' LIMIT 1 [ RunTime:0.000844s ]
  28. UPDATE `g3ys_total` SET `view_total` = `view_total` + 1 WHERE `target_id` = '6405' [ RunTime:0.003639s ]
  29. SHOW FULL COLUMNS FROM `g3ys_record` [ RunTime:0.006622s ]
  30. SELECT `id` FROM `g3ys_record` WHERE `subsite_id` = '26' AND `type` = 'article' AND `url` = 'https://www.thaitour.asia/us-stock-short-term-strategies-guide-2026' AND `create_time` >= 1786677455 AND ( `visitor_id` = 'cabb4eeb2784db0325321b259f465593' OR `session_id` = '0827143da43c490af0b606710a1e8ef2' ) LIMIT 1 [ RunTime:0.004630s ]
  31. INSERT INTO `g3ys_record` SET `subsite_id` = '26' , `uid` = '0' , `visitor_id` = 'cabb4eeb2784db0325321b259f465593' , `session_id` = '0827143da43c490af0b606710a1e8ef2' , `type` = 'article' , `target_id` = '6405' , `target_type` = 0 , `category_id` = '1241' , `title` = 'New Paradigm of US Stock Short-term Trading Strategies in 2026: A Practical Guide for Southeast Asian Investors' , `url` = 'https://www.thaitour.asia/us-stock-short-term-strategies-guide-2026' , `path` = '/us-stock-short-term-strategies-guide-2026' , `query_string` = '' , `referer` = '' , `referer_domain` = '' , `source_type` = 'direct' , `source_domain` = '' , `search_engine` = '' , `search_keyword` = '' , `utm_source` = '' , `utm_medium` = '' , `utm_campaign` = '' , `utm_term` = '' , `utm_content` = '' , `ip` = '216.73.216.250' , `user_agent` = 'Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)' , `device_type` = 'pc' , `browser` = '其他' , `browser_version` = '' , `os` = '其他' , `os_version` = '' , `language` = '' , `is_spider` = 0 , `spider_name` = '' , `status_code` = 200 , `country` = '' , `province` = '' , `city` = '' , `district` = '' , `isp` = '' , `region_code` = '' , `geo_status` = 0 , `geo_time` = 0 , `create_time` = 1786677515 , `update_time` = 1786677515 [ RunTime:0.008030s ]
  32. SHOW FULL COLUMNS FROM `g3ys_comment` [ RunTime:0.005985s ]
  33. SELECT COUNT(*) AS think_count FROM `g3ys_comment` WHERE `target_id` = '6405' AND `pid` = '0' [ RunTime:0.001102s ]
  34. SHOW FULL COLUMNS FROM `g3ys_model` [ RunTime:0.009363s ]
  35. SELECT `id`,`name`,`title`,`field_group` FROM `g3ys_model` WHERE `extend` = 0 AND `id` <> 1 AND `subsite_id` IN ('0','26') AND `status` = 1 [ RunTime:0.001373s ]
  36. SHOW TABLES LIKE 'g3ys_paragraph' [ RunTime:0.004025s ]
  37. SHOW TABLES LIKE 'g3ys_paragraph_lang' [ RunTime:0.004025s ]
  38. SHOW TABLES LIKE 'g3ys_gallery' [ RunTime:0.003891s ]
  39. SHOW TABLES LIKE 'g3ys_gallery_lang' [ RunTime:0.003635s ]
  40. SHOW TABLES LIKE 'g3ys_video' [ RunTime:0.003950s ]
  41. SHOW TABLES LIKE 'g3ys_video_lang' [ RunTime:0.003376s ]
  42. SHOW TABLES LIKE 'g3ys_faq' [ RunTime:0.004101s ]
  43. SHOW TABLES LIKE 'g3ys_faq_lang' [ RunTime:0.003537s ]
  44. SHOW TABLES LIKE 'g3ys_blockquote' [ RunTime:0.004094s ]
  45. SHOW TABLES LIKE 'g3ys_blockquote_lang' [ RunTime:0.006173s ]
  46. SHOW TABLES LIKE 'g3ys_cards' [ RunTime:0.003429s ]
  47. SHOW TABLES LIKE 'g3ys_cards_lang' [ RunTime:0.003691s ]
  48. SHOW TABLES LIKE 'g3ys_objects' [ RunTime:0.004167s ]
  49. SHOW TABLES LIKE 'g3ys_objects_lang' [ RunTime:0.003478s ]
  50. SHOW TABLES LIKE 'g3ys_videos' [ RunTime:0.004098s ]
  51. SHOW TABLES LIKE 'g3ys_videos_lang' [ RunTime:0.003188s ]
  52. SHOW TABLES LIKE 'g3ys_audios' [ RunTime:0.003862s ]
  53. SHOW TABLES LIKE 'g3ys_audios_lang' [ RunTime:0.003740s ]
  54. SHOW TABLES LIKE 'g3ys_files' [ RunTime:0.003520s ]
  55. SHOW TABLES LIKE 'g3ys_files_lang' [ RunTime:0.004484s ]
  56. SHOW TABLES LIKE 'g3ys_richmedia' [ RunTime:0.003469s ]
  57. SHOW TABLES LIKE 'g3ys_richmedia_lang' [ RunTime:0.003615s ]
  58. SHOW FULL COLUMNS FROM `g3ys_paragraph` [ RunTime:0.004049s ]
  59. SELECT * FROM `g3ys_paragraph` WHERE `document_id` = 6405 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001298s ]
  60. SHOW FULL COLUMNS FROM `g3ys_gallery` [ RunTime:0.003071s ]
  61. SELECT * FROM `g3ys_gallery` WHERE `document_id` = 6405 AND `subsite_id` = 26 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001212s ]
  62. SHOW FULL COLUMNS FROM `g3ys_video` [ RunTime:0.004117s ]
  63. SELECT * FROM `g3ys_video` WHERE `document_id` = 6405 AND `subsite_id` = 26 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001308s ]
  64. SHOW FULL COLUMNS FROM `g3ys_faq` [ RunTime:0.003103s ]
  65. SELECT * FROM `g3ys_faq` WHERE `document_id` = 6405 AND `subsite_id` = 26 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001277s ]
  66. SHOW FULL COLUMNS FROM `g3ys_blockquote` [ RunTime:0.002545s ]
  67. SELECT * FROM `g3ys_blockquote` WHERE `document_id` = 6405 AND `subsite_id` = 26 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001149s ]
  68. SHOW FULL COLUMNS FROM `g3ys_cards` [ RunTime:0.004660s ]
  69. SELECT * FROM `g3ys_cards` WHERE `document_id` = 6405 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.002839s ]
  70. SHOW FULL COLUMNS FROM `g3ys_objects` [ RunTime:0.003766s ]
  71. SELECT * FROM `g3ys_objects` WHERE `document_id` = 6405 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001274s ]
  72. SHOW FULL COLUMNS FROM `g3ys_videos` [ RunTime:0.003607s ]
  73. SELECT * FROM `g3ys_videos` WHERE `document_id` = 6405 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001402s ]
  74. SHOW FULL COLUMNS FROM `g3ys_audios` [ RunTime:0.003178s ]
  75. SELECT * FROM `g3ys_audios` WHERE `document_id` = 6405 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001193s ]
  76. SHOW FULL COLUMNS FROM `g3ys_files` [ RunTime:0.003831s ]
  77. SELECT * FROM `g3ys_files` WHERE `document_id` = 6405 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001140s ]
  78. SHOW FULL COLUMNS FROM `g3ys_richmedia` [ RunTime:0.003065s ]
  79. SELECT * FROM `g3ys_richmedia` WHERE `document_id` = 6405 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001191s ]
  80. SELECT * FROM `g3ys_document` WHERE `category_id` = 1241 AND `subsite_id` = 26 AND `pid` = '0' AND `status` = '1' AND ( ( sort > 0) or ( sort = 0 and id < 6405) ) ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.001853s ]
  81. SELECT * FROM `g3ys_document` WHERE `category_id` = 1241 AND `subsite_id` = 26 AND `pid` = '5851' AND `status` = '1' ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.001688s ]
  82. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '26' AND `lang` = 'en-US' AND `document_id` = '5851' [ RunTime:0.012461s ]
  83. SELECT * FROM `g3ys_document` WHERE `category_id` = 1241 AND `subsite_id` = 26 AND `pid` = '6405' AND `status` = '1' AND `document_type` = 0 ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001869s ]
  84. SELECT * FROM `g3ys_document` WHERE `category_id` = 1241 AND `subsite_id` = 26 AND `pid` = '0' AND `status` = '1' AND `document_type` = 0 AND ( ( sort>0 and sort <= 0 and id!=6405) or ( sort = 0 and id > 6405) ) ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001817s ]
  85. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001104s ]
  86. SELECT * FROM `g3ys_total` WHERE `target_id` = '6405' LIMIT 1 [ RunTime:0.001150s ]
  87. SHOW FULL COLUMNS FROM `g3ys_tags` [ RunTime:0.005076s ]
  88. SELECT `title`,`color`,`description`,`seotitle`,`keyword`,`name`,`id` FROM `g3ys_tags` WHERE `id` IN (699,698,690,705,704,707,688) AND `status` = 1 [ RunTime:0.003032s ]
  89. SHOW FULL COLUMNS FROM `g3ys_tags_lang` [ RunTime:0.003001s ]
  90. SELECT * FROM `g3ys_tags_lang` WHERE `tags_id` IN (699,698,690,705,704,707,688) AND `subsite_id` = 26 AND `lang` = 'en-US' [ RunTime:0.001838s ]
  91. SHOW FULL COLUMNS FROM `g3ys_ad_location` [ RunTime:0.002929s ]
  92. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-detail-full' AND `subsite_id` = '26' AND `status` = 1 LIMIT 1 [ RunTime:0.001180s ]
  93. SHOW FULL COLUMNS FROM `g3ys_ad` [ RunTime:0.003975s ]
  94. SELECT * FROM `g3ys_ad` WHERE `subsite_id` = '26' AND `ad_location_id` = '23' AND `status` = 1 AND `device` IN ('all','pc') AND ( `start_time` = 0 OR `start_time` <= 1786677516 ) AND ( `end_time` = 0 OR `end_time` >= 1786677516 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.001213s ]
  95. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.002565s ]
  96. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 23 AND `subsite_id` = '26' AND `lang` = 'en-US' [ RunTime:0.000985s ]
  97. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.003185s ]
  98. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000964s ]
  99. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000904s ]
  100. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000923s ]
  101. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000934s ]
  102. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000928s ]
  103. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-right' AND `subsite_id` = '26' AND `status` = 1 LIMIT 1 [ RunTime:0.000959s ]
  104. SELECT * FROM `g3ys_ad` WHERE `subsite_id` = '26' AND `ad_location_id` = '25' AND `status` = 1 AND `device` IN ('all','pc') AND ( `start_time` = 0 OR `start_time` <= 1786677516 ) AND ( `end_time` = 0 OR `end_time` >= 1786677516 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.001168s ]
  105. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 25 AND `subsite_id` = '26' AND `lang` = 'en-US' [ RunTime:0.000946s ]
  106. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000859s ]
  107. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000837s ]
  108. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000808s ]
  109. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000885s ]
  110. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001388s ]
  111. SELECT * FROM `g3ys_tags` WHERE `subsite_id` = 26 AND `status` = 1 ORDER BY `sort` DESC,`id` DESC LIMIT 15 [ RunTime:0.001877s ]
  112. SELECT * FROM `g3ys_tags_lang` WHERE `tags_id` IN (719,717,715,714,713,712,711,710,709,708,707,706,705,704,703) AND `subsite_id` = 26 AND `lang` = 'en-US' [ RunTime:0.002811s ]
  113. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000859s ]
  114. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '26' AND `category_id` = '2052' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.001024s ]
  115. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '26' AND `category_id` = '2053' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.000984s ]
  116. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '26' AND `category_id` = '2054' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.000981s ]
  117. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001204s ]
  118. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000915s ]
0.793287s