2026-08-14 |

Fed Rate Cut Cycle Begins and New Digital Asset Cycle: Analysis of Macroeconomic Landscape in Crypto Market for August 2026

Fed Rate Cut Cycle Begins and New Digital Asset Cycle: Analysis of Macroeconomic Landscape in Crypto Market for August 2026

In August 2026, after five consecutive rate holds, the Fed finally announced the start of a rate cut cycle. This decision not only marks a significant turning point in US monetary policy but also injects new vitality and uncertainty into the global crypto market. As a specialized investment research platform focused on US stocks and the global semiconductor industry, Sgrate US Stock Insights provides an in-depth analysis of the current macroeconomic environment's impact on the digital asset market, explores how the rate cut cycle will reshape the valuation framework of crypto assets, and discusses how investors can capture structural opportunities in this new cycle.

Rate Cut Cycle Begins: Major Shift in Macroeconomic Environment

The Fed's monetary policy meeting in August 2026 sent clear signals of rate cuts, with the federal funds rate target range lowered by 25 basis points to 5.25%-5.50%, marking the first rate cut since entering the hiking cycle in March 2022. The Fed Chair emphasized in the press conference that the current inflation rate has fallen to 2.8%, close to the 2% target, while the labor market remains strong but shows signs of cooling, making it time to adjust monetary policy to support sustained economic growth.

This decision marks a new phase in US monetary policy, with profound implications for global financial markets. Rate cut cycles typically mean improved liquidity conditions, lower funding costs, and often lead to revaluation of risk assets. For the crypto market, this shift is particularly crucial as digital assets, as an emerging asset class, have price performance closely tied to macro interest rate environments.

Historical Correlation Between Crypto Market and Rate Cycles

Looking at historical data, there's a clear correlation between the crypto market and interest rate cycles. During the low-rate environment from March 2020 to March 2022, Bitcoin surged from around $5,000 to its all-time high of $69,000, with major cryptocurrencies like Ethereum also experiencing significant growth. However, as the Fed embarked on an aggressive hiking cycle, the crypto market experienced a deep correction in 2022, with Bitcoin prices briefly falling below $16,000.

This cycle's shift has similarities with 2020-2022 but also important differences. First, the current crypto market is more mature with significantly increased institutional participation, and the establishment of compliant channels like ETFs has provided traditional investors with more accessible entry points. Second, the global regulatory environment has clearly improved, with major economies gradually clarifying their regulatory frameworks for digital assets, reducing policy uncertainty.

Structural Changes in Crypto Market Under Rate Cut Cycle

With the start of the rate cut cycle, the crypto market is showing several key structural changes. First, the narrative of Bitcoin as "digital gold" is being reinforced again. In a negative real interest rate environment, its value storage attributes are receiving more attention. Data shows that Bitcoin often performs better than traditional risk assets in the early stages of rate cut cycles, and its correlation with gold is gradually increasing.

Second, the DeFi ecosystem is embracing new development opportunities. In a low-rate environment, borrowing rates decrease, reducing financing costs for DeFi protocols while increasing user participation. Particularly, DeFi protocols offering stable returns, such as liquidity mining and yield aggregators, become more attractive in low-rate environments.

Third, Layer2 solutions and scalability technologies are becoming investment hotspots. As Ethereum networks adopt scaling technologies like Danksharding, transaction fees are expected to decrease significantly, greatly improving user experience and attracting more users to the crypto ecosystem. Meanwhile, the token economic models of Layer2 projects are also maturing, providing investors with diverse value capture methods.

Institutional Investor Role Shift and Allocation Strategies

Under the rate cut cycle, the role of institutional investors in the crypto market is undergoing significant transformation. In recent years, major Wall Street financial institutions like BlackRock and Fidelity have launched Bitcoin spot ETFs, which have attracted substantial inflows from traditional investors during the rate cut cycle. Data shows that in the first half of 2026, institutional holdings of Bitcoin ETFs exceeded $50 billion, an increase of about 60% from the beginning of the year.

For institutional investors, the rate cut cycle provides an opportunity to reassess their allocation to crypto assets. Many institutions are beginning to include digital assets in broader portfolios as tools to hedge inflation and diversify risk. Particularly, institutions with long-term liabilities, such as pension funds and insurance companies, have increased demand for asset classes that can provide long-term returns. Crypto assets, with their high volatility and potential high returns, have become part of their allocation mix.

Evolution of Regulatory Environment and Policy Resonance Effects

In 2026, the global crypto regulatory environment shows clear "policy resonance" characteristics. The US SEC released a more explicit digital asset regulatory framework in the first half of 2026, providing a clear development path for compliant businesses. Meanwhile, the EU's MiCA (Markets in Crypto-Assets) regulation has been fully implemented, establishing unified regulatory standards for member states. Major Asian economies like Japan and Singapore have also accelerated their regulatory pace, promoting the legalization process of digital assets.

This improvement in the global regulatory environment reduces policy uncertainty and lays the foundation for the healthy development of the crypto market. Especially during rate cut cycles, clear regulatory frameworks can attract more traditional financial institutions and long-term investors to the market, bringing more stable funding sources for crypto assets.

Macroeconomic Indicators and Forward-Looking Signals for Crypto Market

During the rate cut cycle, several key macroeconomic indicators have important forward-looking guidance for the crypto market. First is the change in the US Treasury yield curve. The current yield curve has gradually flattened from a deep inversion, which typically suggests an increased possibility of economic soft landing, beneficial for risk assets. Historical data shows that Bitcoin often achieves positive returns within 6-12 months after the Treasury yield curve flattens.

Second is inflation expectations. Although the current inflation rate is close to the Fed's target, changes in inflation expectations still need close monitoring. If inflation can continue to decline and stabilize around 2%, it will provide the Fed with more flexibility for rate cuts, which is positive for the crypto market. Conversely, if inflation rises again, it may limit the Fed's rate cut magnitude, putting pressure on the crypto market.

Third is changes in global liquidity. Rate cut cycles are often accompanied by synchronized or follow-up rate cuts by major central banks worldwide, leading to improved global liquidity conditions. For crypto assets in emerging markets, changes in US dollar liquidity are particularly important as the performance of these market assets is often closely related to the US dollar index and global liquidity conditions.

Investment Strategy Recommendations: Capturing Structural Opportunities in Rate Cut Cycle

Facing the new environment of the rate cut cycle beginning, investors should adopt more refined strategies to capture structural opportunities in the crypto market. First, for asset allocation, a core-satellite strategy is recommended, with Bitcoin as the core allocation while also allocating to high-growth potential emerging track projects such as AI+ blockchain integration projects and decentralized physical infrastructure networks.

Second, regarding investment timing, considering that the early stage of rate cut cycles often accompanies improved market sentiment, investors can appropriately increase risk exposure but should remain cautious and avoid excessive chasing of highs. Especially after significant market increases, a strategy of batch position building can be considered to reduce timing risk.

Third, for risk management, although rate cut cycles are generally beneficial for the crypto market overall, volatility may still be high. Investors should establish strict risk control mechanisms, set stop-loss points, and avoid excessive concentration in single positions. Meanwhile, derivative tools like options and futures can be considered for hedging to reduce portfolio volatility.

Conclusion: Beginning of New Digital Asset Cycle and Long-Term Value Reassessment

The start of the Fed's rate cut cycle marks a new phase for the digital asset market. Driven by multiple factors including improved macroeconomic environment, refined regulatory frameworks, and increased institutional participation, the crypto market is poised for a new round of value reassessment. However, investors should also clearly recognize that as an emerging asset class, digital assets still have significant price volatility, requiring rationality during the investment process with focus on long-term value rather than short-term price fluctuations.

Looking ahead, as the rate cut cycle deepens, the crypto market will gradually integrate with traditional financial markets, becoming an indispensable part of global asset allocation. For investors, understanding the relationship between macroeconomics and the crypto market and capturing structural opportunities will be key to achieving excess returns in this new cycle. Sgrate US Stock Insights will continue to monitor the impact of macroeconomic changes on the crypto market, providing professional and in-depth research analysis to help investors seize opportunities in the new digital asset cycle.

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  1. CONNECT:[ UseTime:0.001104s ] mysql:host=127.0.0.1;port=3306;dbname=cjgpcs;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `g3ys_config` [ RunTime:0.002759s ]
  3. SELECT `value` FROM `g3ys_config` WHERE `name` = 'timezone' AND `subsite_id` = '6' LIMIT 1 [ RunTime:0.000723s ]
  4. SHOW FULL COLUMNS FROM `g3ys_route` [ RunTime:0.002860s ]
  5. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '6' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000865s ]
  6. SHOW FULL COLUMNS FROM `g3ys_theme` [ RunTime:0.003125s ]
  7. SELECT `paginator` FROM `g3ys_theme` WHERE `module` = 'home' AND `name` = 'sgrateloan' AND `subsite_id` = '6' LIMIT 1 [ RunTime:0.000738s ]
  8. SHOW FULL COLUMNS FROM `g3ys_lang` [ RunTime:0.003253s ]
  9. SELECT * FROM `g3ys_lang` WHERE `subsite_id` = 6 AND ( ( LOWER(name) = 'en' ) OR `subtag` = 'en' ) AND `status` = 1 ORDER BY `id` ASC LIMIT 1 [ RunTime:0.001198s ]
  10. SHOW FULL COLUMNS FROM `g3ys_member` [ RunTime:0.003925s ]
  11. SELECT * FROM `g3ys_member` WHERE `id` = 0 AND `subsite_id` = '6' LIMIT 1 [ RunTime:0.000920s ]
  12. SHOW FULL COLUMNS FROM `g3ys_document` [ RunTime:0.004403s ]
  13. SELECT `id`,`document_type` FROM `g3ys_document` WHERE `subsite_id` = 6 AND `name` = 'fed-rate-cut-cycle-digital-assets-new-era-2026-august' AND `status` IN ('1','2') LIMIT 1 [ RunTime:0.011311s ]
  14. SELECT * FROM `g3ys_document` WHERE ( `name` = '6616' OR `id` = '6616' ) AND `subsite_id` = 6 LIMIT 1 [ RunTime:0.008178s ]
  15. SHOW TABLES LIKE 'g3ys_document_article' [ RunTime:0.003244s ]
  16. SHOW FULL COLUMNS FROM `g3ys_document_article` [ RunTime:0.001761s ]
  17. SELECT * FROM `g3ys_document_article` WHERE `document_id` = '6616' LIMIT 1 [ RunTime:0.000758s ]
  18. SHOW FULL COLUMNS FROM `g3ys_total` [ RunTime:0.002060s ]
  19. SELECT * FROM `g3ys_total` WHERE `target_id` = '6616' LIMIT 1 [ RunTime:0.000684s ]
  20. SHOW TABLES LIKE 'g3ys_document_article_lang' [ RunTime:0.002803s ]
  21. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.001841s ]
  22. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '6' AND `lang` = 'en' AND `document_id` = '6616' [ RunTime:0.006303s ]
  23. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.002312s ]
  24. SHOW TABLES LIKE 'g3ys_category_lang' [ RunTime:0.002064s ]
  25. SHOW FULL COLUMNS FROM `g3ys_category_lang` [ RunTime:0.001803s ]
  26. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '6' AND `category_id` = '1813' AND `lang` = 'en' LIMIT 1 [ RunTime:0.000727s ]
  27. SELECT * FROM `g3ys_total` WHERE `target_id` = '6616' LIMIT 1 [ RunTime:0.000665s ]
  28. UPDATE `g3ys_total` SET `view_total` = `view_total` + 1 WHERE `target_id` = '6616' [ RunTime:0.001742s ]
  29. SHOW FULL COLUMNS FROM `g3ys_record` [ RunTime:0.004685s ]
  30. SELECT `id` FROM `g3ys_record` WHERE `subsite_id` = '6' AND `type` = 'article' AND `url` = 'https://www.sgrateloan.com/fed-rate-cut-cycle-digital-assets-new-era-2026-august' AND `create_time` >= 1786681003 AND ( `visitor_id` = 'f1e78d9d9af324f65d7fd8719675d5ca' OR `session_id` = '0de4d6747c806fa91d5e247698ecd19a' ) LIMIT 1 [ RunTime:0.004057s ]
  31. INSERT INTO `g3ys_record` SET `subsite_id` = '6' , `uid` = '0' , `visitor_id` = 'f1e78d9d9af324f65d7fd8719675d5ca' , `session_id` = '0de4d6747c806fa91d5e247698ecd19a' , `type` = 'article' , `target_id` = '6616' , `target_type` = 0 , `category_id` = '1813' , `title` = 'Fed Rate Cut Cycle Begins and New Digital Asset Cycle: Analysis of Macroeconomic Landscape in Crypto Market for August 2026' , `url` = 'https://www.sgrateloan.com/fed-rate-cut-cycle-digital-assets-new-era-2026-august' , `path` = '/fed-rate-cut-cycle-digital-assets-new-era-2026-august' , `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` = '216.73.216.37' , `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` = 1786681063 , `update_time` = 1786681063 [ RunTime:0.009281s ]
  32. SHOW FULL COLUMNS FROM `g3ys_comment` [ RunTime:0.003266s ]
  33. SELECT COUNT(*) AS think_count FROM `g3ys_comment` WHERE `target_id` = '6616' AND `pid` = '0' [ RunTime:0.000765s ]
  34. SHOW FULL COLUMNS FROM `g3ys_model` [ RunTime:0.003887s ]
  35. SELECT `id`,`name`,`title`,`field_group` FROM `g3ys_model` WHERE `extend` = 0 AND `id` <> 1 AND `subsite_id` IN ('0','6') AND `status` = 1 [ RunTime:0.001096s ]
  36. SHOW TABLES LIKE 'g3ys_paragraph' [ RunTime:0.002073s ]
  37. SHOW TABLES LIKE 'g3ys_paragraph_lang' [ RunTime:0.002659s ]
  38. SHOW TABLES LIKE 'g3ys_gallery' [ RunTime:0.002286s ]
  39. SHOW TABLES LIKE 'g3ys_gallery_lang' [ RunTime:0.001857s ]
  40. SHOW TABLES LIKE 'g3ys_video' [ RunTime:0.003344s ]
  41. SHOW TABLES LIKE 'g3ys_video_lang' [ RunTime:0.002237s ]
  42. SHOW TABLES LIKE 'g3ys_faq' [ RunTime:0.002676s ]
  43. SHOW TABLES LIKE 'g3ys_faq_lang' [ RunTime:0.002150s ]
  44. SHOW TABLES LIKE 'g3ys_blockquote' [ RunTime:0.001979s ]
  45. SHOW TABLES LIKE 'g3ys_blockquote_lang' [ RunTime:0.001957s ]
  46. SHOW TABLES LIKE 'g3ys_cards' [ RunTime:0.002395s ]
  47. SHOW TABLES LIKE 'g3ys_cards_lang' [ RunTime:0.001884s ]
  48. SHOW TABLES LIKE 'g3ys_objects' [ RunTime:0.002028s ]
  49. SHOW TABLES LIKE 'g3ys_objects_lang' [ RunTime:0.001913s ]
  50. SHOW TABLES LIKE 'g3ys_videos' [ RunTime:0.002159s ]
  51. SHOW TABLES LIKE 'g3ys_videos_lang' [ RunTime:0.001914s ]
  52. SHOW TABLES LIKE 'g3ys_audios' [ RunTime:0.001985s ]
  53. SHOW TABLES LIKE 'g3ys_audios_lang' [ RunTime:0.001981s ]
  54. SHOW TABLES LIKE 'g3ys_files' [ RunTime:0.001926s ]
  55. SHOW TABLES LIKE 'g3ys_files_lang' [ RunTime:0.002793s ]
  56. SHOW TABLES LIKE 'g3ys_richmedia' [ RunTime:0.002094s ]
  57. SHOW TABLES LIKE 'g3ys_richmedia_lang' [ RunTime:0.001963s ]
  58. SHOW FULL COLUMNS FROM `g3ys_paragraph` [ RunTime:0.002110s ]
  59. SELECT * FROM `g3ys_paragraph` WHERE `document_id` = 6616 AND `subsite_id` = '6' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001410s ]
  60. SHOW FULL COLUMNS FROM `g3ys_gallery` [ RunTime:0.002388s ]
  61. SELECT * FROM `g3ys_gallery` WHERE `document_id` = 6616 AND `subsite_id` = 6 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001041s ]
  62. SHOW FULL COLUMNS FROM `g3ys_video` [ RunTime:0.002040s ]
  63. SELECT * FROM `g3ys_video` WHERE `document_id` = 6616 AND `subsite_id` = 6 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000946s ]
  64. SHOW FULL COLUMNS FROM `g3ys_faq` [ RunTime:0.001908s ]
  65. SELECT * FROM `g3ys_faq` WHERE `document_id` = 6616 AND `subsite_id` = 6 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000896s ]
  66. SHOW FULL COLUMNS FROM `g3ys_blockquote` [ RunTime:0.002414s ]
  67. SELECT * FROM `g3ys_blockquote` WHERE `document_id` = 6616 AND `subsite_id` = 6 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000895s ]
  68. SHOW FULL COLUMNS FROM `g3ys_cards` [ RunTime:0.002077s ]
  69. SELECT * FROM `g3ys_cards` WHERE `document_id` = 6616 AND `subsite_id` = '6' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000946s ]
  70. SHOW FULL COLUMNS FROM `g3ys_objects` [ RunTime:0.002029s ]
  71. SELECT * FROM `g3ys_objects` WHERE `document_id` = 6616 AND `subsite_id` = '6' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001117s ]
  72. SHOW FULL COLUMNS FROM `g3ys_videos` [ RunTime:0.002695s ]
  73. SELECT * FROM `g3ys_videos` WHERE `document_id` = 6616 AND `subsite_id` = '6' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000975s ]
  74. SHOW FULL COLUMNS FROM `g3ys_audios` [ RunTime:0.002073s ]
  75. SELECT * FROM `g3ys_audios` WHERE `document_id` = 6616 AND `subsite_id` = '6' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000942s ]
  76. SHOW FULL COLUMNS FROM `g3ys_files` [ RunTime:0.002055s ]
  77. SELECT * FROM `g3ys_files` WHERE `document_id` = 6616 AND `subsite_id` = '6' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001240s ]
  78. SHOW FULL COLUMNS FROM `g3ys_richmedia` [ RunTime:0.002314s ]
  79. SELECT * FROM `g3ys_richmedia` WHERE `document_id` = 6616 AND `subsite_id` = '6' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000935s ]
  80. SELECT * FROM `g3ys_document` WHERE `category_id` = 1813 AND `subsite_id` = 6 AND `pid` = '0' AND `status` = '1' AND ( ( sort > 0) or ( sort = 0 and id < 6616) ) ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.001547s ]
  81. SELECT * FROM `g3ys_document` WHERE `category_id` = 1813 AND `subsite_id` = 6 AND `pid` = '6570' AND `status` = '1' ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.001204s ]
  82. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '6' AND `lang` = 'en' AND `document_id` = '6570' [ RunTime:0.007348s ]
  83. SELECT * FROM `g3ys_document` WHERE `category_id` = 1813 AND `subsite_id` = 6 AND `pid` = '6616' AND `status` = '1' AND `document_type` = 0 ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001585s ]
  84. SELECT * FROM `g3ys_document` WHERE `category_id` = 1813 AND `subsite_id` = 6 AND `pid` = '0' AND `status` = '1' AND `document_type` = 0 AND ( ( sort>0 and sort <= 0 and id!=6616) or ( sort = 0 and id > 6616) ) ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001945s ]
  85. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '6' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001027s ]
  86. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '6' AND `category_id` = '1816' AND `lang` = 'en' LIMIT 1 [ RunTime:0.000731s ]
  87. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '6' AND `category_id` = '1817' AND `lang` = 'en' LIMIT 1 [ RunTime:0.000613s ]
  88. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '6' AND `category_id` = '1819' AND `lang` = 'en' LIMIT 1 [ RunTime:0.000599s ]
  89. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '6' AND `category_id` = '2048' AND `lang` = 'en' LIMIT 1 [ RunTime:0.000795s ]
  90. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '6' AND `category_id` = '2049' AND `lang` = 'en' LIMIT 1 [ RunTime:0.000668s ]
  91. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '6' AND `category_id` = '2050' AND `lang` = 'en' LIMIT 1 [ RunTime:0.000882s ]
  92. SELECT * FROM `g3ys_total` WHERE `target_id` = '6616' LIMIT 1 [ RunTime:0.000716s ]
  93. SHOW FULL COLUMNS FROM `g3ys_ad_location` [ RunTime:0.002357s ]
  94. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-detail-full' AND `subsite_id` = '6' AND `status` = 1 LIMIT 1 [ RunTime:0.000886s ]
  95. SHOW FULL COLUMNS FROM `g3ys_ad` [ RunTime:0.002782s ]
  96. SELECT * FROM `g3ys_ad` WHERE `subsite_id` = '6' AND `ad_location_id` = '15' AND `status` = 1 AND `device` IN ('all','pc') AND ( `start_time` = 0 OR `start_time` <= 1786681063 ) AND ( `end_time` = 0 OR `end_time` >= 1786681063 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.001008s ]
  97. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.001892s ]
  98. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 15 AND `subsite_id` = '6' AND `lang` = 'en' [ RunTime:0.000821s ]
  99. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.002029s ]
  100. SHOW FULL COLUMNS FROM `g3ys_tags` [ RunTime:0.002384s ]
  101. SELECT `title`,`color`,`description`,`seotitle`,`keyword`,`name`,`id` FROM `g3ys_tags` WHERE `id` IN (69,66,61,53,71,56,64,52) AND `status` = 1 [ RunTime:0.001028s ]
  102. SHOW FULL COLUMNS FROM `g3ys_tags_lang` [ RunTime:0.002344s ]
  103. SELECT * FROM `g3ys_tags_lang` WHERE `tags_id` IN (69,66,61,53,71,56,64,52) AND `subsite_id` = 6 AND `lang` = 'en' [ RunTime:0.000871s ]
  104. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '6' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000710s ]
  105. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-right' AND `subsite_id` = '6' AND `status` = 1 LIMIT 1 [ RunTime:0.000877s ]
  106. SELECT * FROM `g3ys_ad` WHERE `subsite_id` = '6' AND `ad_location_id` = '17' AND `status` = 1 AND `device` IN ('all','pc') AND ( `start_time` = 0 OR `start_time` <= 1786681063 ) AND ( `end_time` = 0 OR `end_time` >= 1786681063 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.000882s ]
  107. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 17 AND `subsite_id` = '6' AND `lang` = 'en' [ RunTime:0.000719s ]
  108. SELECT `id`,`name`,`title`,`create_time`,`model_id` FROM `g3ys_document` `a` INNER JOIN `g3ys_total` `b` ON `a`.`id`=`b`.`target_id` INNER JOIN `g3ys_document_article` `c` ON `a`.`id`=`c`.`document_id` WHERE `subsite_id` = 6 AND `category_id` = 1813 AND `status` = '1' AND `model_id` = 2 AND `document_type` = 0 AND `id` <> '6616' ORDER BY `sort` DESC,`id` DESC LIMIT 0,10 [ RunTime:0.001546s ]
  109. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '6' AND `lang` = 'en' AND `document_id` IN ('6570','6519','6469','6418','6328','6275','6202','6149','6111','6035') [ RunTime:0.007895s ]
  110. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '6' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001007s ]
  111. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '6' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000689s ]
  112. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '6' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000691s ]
  113. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '6' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000701s ]
  114. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '6' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000663s ]
  115. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '6' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000679s ]
  116. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '6' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000701s ]
  117. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '6' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000931s ]
  118. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '6' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000755s ]
  119. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '6' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000794s ]
  120. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '6' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000699s ]
  121. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '6' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000776s ]
  122. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '6' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000724s ]
  123. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '6' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000680s ]
  124. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '6' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000685s ]
  125. SELECT * FROM `g3ys_tags` WHERE `subsite_id` = 6 AND `status` = 1 ORDER BY `sort` DESC,`id` DESC LIMIT 15 [ RunTime:0.003003s ]
  126. SELECT * FROM `g3ys_tags_lang` WHERE `tags_id` IN (78,77,76,75,74,73,72,71,70,69,68,67,66,65,64) AND `subsite_id` = 6 AND `lang` = 'en' [ RunTime:0.000980s ]
  127. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '6' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000736s ]
  128. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '6' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000696s ]
  129. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '6' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000701s ]
0.601465s