SpaceX IPO Soars on Day One! Is Chasing SPCX a Wealth Chance or a Peak Trap?

2026-06-16 10:07 116 Reading US Stock Barometer
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SpaceX IPO Soars on Day One! Is Chasing SPCX a Wealth Chance or a Peak Trap?

SpaceX surged 19% on its first day. The scariest thing isn't that you missed out, but that you could rush in and catch Wall Street's chips. SPCX IPO price was $135, opened at $150, and closed up nearly 19%. This is not an ordinary IPO – Musk has packaged rockets, Starlink, AI, defense contracts, and space computing into a 'story for the next decade' and served it directly to capital markets. The problem is, the sexier the story, the more impulsive retail investors become. What's most frightening is not that SpaceX rose, but that it rose too smoothly. A company just went public, and before the market seriously looked at its finances, sentiment already skyrocketed. Some say this is a once-in-a-decade wealth opportunity; others say it's classic IPO frenzy – first movers feast, latecomers pay. Today, we're not telling you to buy or sell, but to break down this event clearly: Is the big SPCX bullish candle the start of a wealth train, or are retail investors lining up at the peak? My judgment is that SpaceX itself is definitely not junk hype – it's a top-tier asset, and a very scarce one. It has rocket launch capability, Starlink satellite internet, government and defense contracts, and future AI space computing imagination. The problem is, a great company doesn't mean any price is right. What retail investors need to think about now is not whether SpaceX is good, but whether after the first-day surge, the price has already factored in all the good news for the next decade. It's like finally getting a reservation at the hottest restaurant in town. The food may be great, the chef famous, but the queue stretches three streets and scalpers have inflated the number ten times. You don't ask if the restaurant is worth it; you ask if rushing in at ten times the price makes the meal worthwhile. SPCX is the same. The market loves Musk, loves space stories, loves Starlink cash flow, loves AI space computing, but if everyone gets excited at the same moment, short-term risk grows simultaneously. Why did this IPO attract so much attention? Simply because ordinary investors couldn't buy it before. To get exposure to SpaceX, you had to go through Tesla or buy some space concept stocks, military stocks, satellite communication stocks – not the real SpaceX. Now SPCX is directly on the Nasdaq, and regular people can finally buy SpaceX like they buy Apple, Nvidia, or Tesla. This scarcity greatly stimulates market sentiment. More importantly, SpaceX is not just a rocket company. If it were only a launch company, its valuation would be questioned. But it now presents a complete future package: rockets send things into space, Starlink provides global communications, government orders add strategic value, and future super-stories include AI data centers, space computing, and satellite networks. It's not selling a rocket ticket; it's selling a 'ticket to the future world.' Of course, the name 'Musk' itself is an emotional button in capital markets. Tesla was the same – many said its valuation was absurd, it sold few cars, and would eventually crash. But Tesla did change the EV industry and brought huge returns to early believers. So this time, many retail investors have the same thought: I missed Tesla, I can't miss SpaceX. This psychology is very real, and exactly what Wall Street knows how to exploit. On the first day of trading, the market reaction was triple-headed excitement. Retail investors had FOMO – fear of missing out. Seeing the stock price surge from $135 IPO price to $150, then near $160, most people didn't look at valuation; they trembled, afraid they wouldn't be able to buy tomorrow. It's like concert tickets going on sale – you plan to choose seats slowly, but after one refresh, only scalper tickets remain, and you instantly lose composure. Institutions look at different things. They look at liquidity, allocation value, index inclusion possibilities, and whether future tech funds, growth funds, and thematic ETFs will be forced to allocate. In other words, retail sees 'Musk wins again,' institutions see 'this could become a must-own asset.' If SPCX is eventually included in major indices, passive money, pension funds, and ETF money could be forced to buy – that's why institutions position early. But we can't ignore another possibility: SPCX is so hot that it sucks money from other parts of the market. Recently, some observers have noted funds reducing exposure to large tech stocks around the SpaceX IPO – simply selling some old tech to free up money for the new story. This logic is important: if SPCX rises, it doesn't mean the entire tech sector will blindly rally; sometimes funds just move from one crowded track to another sexier one. So SPCX's first-day surge seems like a stock price takeoff, but behind it are five layers of expectations simultaneously exploding. —————— First, scarcity. A private tech giant like SpaceX was previously unavailable to ordinary investors; now it's suddenly buyable, so the market naturally gives it a scarcity premium. Like limited sneakers – the shoes are good, but what really lifts the price is the word 'unavailable.' Second, Starlink cash flow. Rockets are cool, but what really makes Wall Street's eyes light up is probably Starlink. Starlink looks more like a global subscription business – users, monthly fees, network effects, expansion space. Rockets are the brand; Starlink might be the money machine. Of course, the latest Starlink revenue, user numbers, profit margins – you must check the latest disclosures before recording, not just online rumors. Third, government and defense contracts. SpaceX is not just a commercial company; it's tied to US aerospace, military communications, and national security. Once long-term cooperation is secured, the market sees it not just as a company but as a strategic asset. Strategic assets in capital markets usually get higher valuations because they carry an 'cannot easily fail' imaginary. Fourth, AI space computing. This story sounds sci-fi, but capital markets love sci-fi. What's the biggest bottleneck for AI now? Power, heat dissipation, land, data centers. If someone tells you that part of computing can be moved to space, using solar power and orbital heat dissipation, would Wall Street get excited? Of course. Even if this story hasn't fully materialized, the mere possibility makes valuation run ahead. Fifth, the Musk premium. The same story told by someone else might look like a slide deck, but when Musk tells it, the market thinks: what if he actually does it? This is Musk's greatest strength – he doesn't just sell products; he sells the imagination of a future rewritten by him. But the problem is that once the market gives too high a Musk premium, any execution shortfall in the future will cause huge stock volatility. So what is Wall Street doing now? Grabbing shares or luring buyers? I think it's not a simple binary. More accurately, Wall Street is probably doing three things simultaneously: grabbing long-term shares, creating liquidity, and testing retail receiving capacity. Sounds complicated – let me translate: I want good stuff too, but if the price gets too hot, I don't mind selling some shares to the most emotional people. In early IPOs, there is also a mechanism called the 'greenshoe option,' no need to remember the term. Think of it as adding extra seats for a concert. If tickets sell too well, the organizer can temporarily release more seats; if the scene gets chaotic, the mechanism can stabilize prices. In super IPOs, underwriters and large institutions have much more room to operate than ordinary retail investors. So the rise you see may not be entirely natural buying; it could be a mix of stabilization trades, fund rebalancing, and sentiment. This is where retail investors most easily misread. First, seeing a first-day surge, they assume it will continue to rise. Wrong. A first-day surge only indicates strong demand, not low short-term risk. Many IPOs are fierce on day one but later correct because early hot money runs fastest. You think it's a long-distance runner, but it might be gasping after the first sprint. Second, equating SpaceX's greatness with SPCX's current price being cheap. This fallacy is most dangerous. Good companies can be expensive. Apple, Nvidia, Tesla all had periods where they were right long-term but painful short-term. You have the right direction, but not the right entry point; you're optimistic about the future, but that doesn't mean there's no pullback now. The most tormenting part of investing is here: your logic may be correct, but if your position and price are wrong, the market will teach you a lesson. Third, only looking at Musk, not the financials. Musk can tell stories to Mars, but the stock price eventually has to come back to Earth for accounting. Revenue, losses, cash flow, Starlink growth sustainability, rocket launch cost reduction, future financing dilution – these determine whether long-term valuation can hold. Stories ignite the rocket; financials provide endurance. Only ignition without endurance, and the rocket will fall. Fourth, seeing SPCX rise and assuming all space stocks will rise. This is also dangerous. SPCX is SpaceX; it doesn't mean RKLB, LUNR, PL, and other space concept stocks will all deliver simultaneously. When the market is in sentiment, everyone rides; when the market calms, it checks accounts one by one. Who has real orders, who has cash flow, who just sounds like a space concept – the difference is huge. Next, ordinary investors should not just stare at trending topics but watch five signals. First, the trading volume and turnover rate in the first 5-10 trading days after SPCX listing. If the price rises but volume shrinks quickly, chasing power may weaken. If it corrects with increased volume and buyers appear, capital support is still there. New stocks fear most: excitement on day one, no buyers on day two. Second, key price levels. The IPO price of $135, opening price of $150, and first-day closing price are important. If future prices can't hold the opening price, those who bought in start facing pressure. If after a pullback it can stand above key levels, the market continues to give it a premium. Don't just look at ups and downs; look at where they happen. —————— Third, institutional ratings and target prices. Pay special attention to non-underwriter institutions. Underwriters have inherent conflicts of interest; their words can be referenced but not taken as gospel. If independent institutions start warning about valuation risk, or rating divergence widens, the market is moving from frenzy to accounting. Fourth, Starlink data. User numbers, revenue growth, ARPU, profit margins, cash flow – these are more important than 'Mars dreams.' A simple rule for finance novices: dreams can inflate valuation, but cash flow defends it. Whether SpaceX can transform from a super story into a super stock likely depends on Starlink. Fifth, US Treasury yields and Fed expectations. SPCX, as a high-valuation growth stock, is essentially sensitive to rising rates. Higher rates make future cash flows worth less when discounted back. This concept sounds complex but is simple: if bank deposit rates are high, patience with high-risk growth stocks decreases. So if next week the market continues to worry about inflation and a hawkish Fed, high-valuation tech stocks will face pressure, and SPCX won't be completely immune. So what should ordinary people do? I don't give buy/sell advice, but I can provide a framework. First, if you know nothing about SpaceX and are only chasing because of the surge, my advice is: don't rush. You're not missing a one-day move; you're avoiding paying with emotion. First understand the company's revenue structure, valuation level, future growth logic, then decide. Second, if you are long-term bullish on Musk and the space economy, you don't need to go all in at once. Put SPCX on your long-term watchlist and wait for the first week's volatility, first earnings report, institutional ratings, and Starlink data to gradually emerge. Real long-term investing is not spending all ammunition on day one, but leaving room for mistakes and additions. Third, if you are a short-term trader, you must watch volume, key prices, and stop-loss levels. IPO new stocks are highly volatile. The worst is saying long-term but doing short-term chasing, then changing your story when it drops, calling it value investing. Many retail investors have this problem: traders before buying, Buffetts after being trapped. Fourth, if you want related concept stocks, don't blindly chase just because SPCX rises. Among space, satellite, military, and AI computing stocks, there will be speculation, but speculation doesn't equal fundamental improvement. Distinguish who has real orders, revenue, and moats, and who is just riding the SpaceX IPO wave. In summary, SpaceX's first-day surge proves that Musk's story still has huge appeal, and that Wall Street is still willing to pay for super tech narratives. But retail investors must remember: rockets can fly to space, but stock prices may return to Earth first. The real opportunity is not rushing in when everyone is most excited, but being able to understand price, valuation, and risk while others just watch. Musk tells stories to space; investors must bring the accounting back to Earth. SPCX may be a super opportunity for the next decade, or it may first give chasers an expensive lesson in emotion.

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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:0.001202s ] mysql:host=127.0.0.1;port=3306;dbname=cjgpcs;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `g3ys_config` [ RunTime:0.002931s ]
  3. SELECT `value` FROM `g3ys_config` WHERE `name` = 'timezone' AND `subsite_id` = '26' LIMIT 1 [ RunTime:0.000734s ]
  4. SHOW FULL COLUMNS FROM `g3ys_route` [ RunTime:0.002989s ]
  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:0.000855s ]
  6. SHOW FULL COLUMNS FROM `g3ys_theme` [ RunTime:0.002707s ]
  7. SELECT `paginator` FROM `g3ys_theme` WHERE `module` = 'home' AND `name` = 'scientex' AND `subsite_id` = '26' LIMIT 1 [ RunTime:0.000704s ]
  8. SHOW FULL COLUMNS FROM `g3ys_lang` [ RunTime:0.002894s ]
  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:0.001055s ]
  10. SHOW FULL COLUMNS FROM `g3ys_member` [ RunTime:0.004798s ]
  11. SELECT * FROM `g3ys_member` WHERE `id` = 0 AND `subsite_id` = '26' LIMIT 1 [ RunTime:0.001108s ]
  12. SHOW FULL COLUMNS FROM `g3ys_document` [ RunTime:0.004192s ]
  13. SELECT `id`,`document_type` FROM `g3ys_document` WHERE `subsite_id` = 26 AND `name` = 'spacex-shang-shi-shou-ri-bao-zhang-san-hu-xian-zai-zhui-spcx-shi-cai-fu-ji-hui-hai-shi-gao-wei-jie-p' AND `status` IN ('1','2') LIMIT 1 [ RunTime:0.001011s ]
  14. SELECT * FROM `g3ys_document` WHERE ( `name` = '4757' OR `id` = '4757' ) AND `subsite_id` = 26 LIMIT 1 [ RunTime:0.001511s ]
  15. SHOW TABLES LIKE 'g3ys_document_article' [ RunTime:0.002423s ]
  16. SHOW FULL COLUMNS FROM `g3ys_document_article` [ RunTime:0.001723s ]
  17. SELECT * FROM `g3ys_document_article` WHERE `document_id` = '4757' LIMIT 1 [ RunTime:0.000943s ]
  18. SHOW FULL COLUMNS FROM `g3ys_total` [ RunTime:0.002106s ]
  19. SELECT * FROM `g3ys_total` WHERE `target_id` = '4757' LIMIT 1 [ RunTime:0.000662s ]
  20. SHOW TABLES LIKE 'g3ys_document_article_lang' [ RunTime:0.002141s ]
  21. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.001947s ]
  22. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '26' AND `lang` = 'en-US' AND `document_id` = '4757' [ RunTime:0.006751s ]
  23. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.002300s ]
  24. SHOW TABLES LIKE 'g3ys_category_lang' [ RunTime:0.002233s ]
  25. SHOW FULL COLUMNS FROM `g3ys_category_lang` [ RunTime:0.002002s ]
  26. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '26' AND `category_id` = '1237' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.000733s ]
  27. SELECT * FROM `g3ys_total` WHERE `target_id` = '4757' LIMIT 1 [ RunTime:0.000703s ]
  28. UPDATE `g3ys_total` SET `view_total` = `view_total` + 1 WHERE `target_id` = '4757' [ RunTime:0.002388s ]
  29. SHOW FULL COLUMNS FROM `g3ys_record` [ RunTime:0.005825s ]
  30. SELECT `id` FROM `g3ys_record` WHERE `subsite_id` = '26' AND `type` = 'article' AND `url` = 'https://www.thaitour.asia/spacex-shang-shi-shou-ri-bao-zhang-san-hu-xian-zai-zhui-spcx-shi-cai-fu-ji-hui-hai-shi-gao-wei-jie-p' AND `create_time` >= 1786684767 AND ( `visitor_id` = '7ea26ac640042dcfe3a5652481711dc7' OR `session_id` = '460e877d1f6bf06397f9c23e7e8d4b34' ) LIMIT 1 [ RunTime:0.002782s ]
  31. INSERT INTO `g3ys_record` SET `subsite_id` = '26' , `uid` = '0' , `visitor_id` = '7ea26ac640042dcfe3a5652481711dc7' , `session_id` = '460e877d1f6bf06397f9c23e7e8d4b34' , `type` = 'article' , `target_id` = '4757' , `target_type` = 0 , `category_id` = '1237' , `title` = 'SpaceX IPO Soars on Day One! Is Chasing SPCX a Wealth Chance or a Peak Trap?' , `url` = 'https://www.thaitour.asia/spacex-shang-shi-shou-ri-bao-zhang-san-hu-xian-zai-zhui-spcx-shi-cai-fu-ji-hui-hai-shi-gao-wei-jie-p' , `path` = '/spacex-shang-shi-shou-ri-bao-zhang-san-hu-xian-zai-zhui-spcx-shi-cai-fu-ji-hui-hai-shi-gao-wei-jie-p' , `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` = 1786684827 , `update_time` = 1786684827 [ RunTime:0.004219s ]
  32. SHOW FULL COLUMNS FROM `g3ys_comment` [ RunTime:0.003171s ]
  33. SELECT COUNT(*) AS think_count FROM `g3ys_comment` WHERE `target_id` = '4757' AND `pid` = '0' [ RunTime:0.000854s ]
  34. SHOW FULL COLUMNS FROM `g3ys_model` [ RunTime:0.003919s ]
  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:0.001186s ]
  36. SHOW TABLES LIKE 'g3ys_paragraph' [ RunTime:0.003145s ]
  37. SHOW TABLES LIKE 'g3ys_paragraph_lang' [ RunTime:0.002524s ]
  38. SHOW TABLES LIKE 'g3ys_gallery' [ RunTime:0.002417s ]
  39. SHOW TABLES LIKE 'g3ys_gallery_lang' [ RunTime:0.001985s ]
  40. SHOW TABLES LIKE 'g3ys_video' [ RunTime:0.002009s ]
  41. SHOW TABLES LIKE 'g3ys_video_lang' [ RunTime:0.002345s ]
  42. SHOW TABLES LIKE 'g3ys_faq' [ RunTime:0.001978s ]
  43. SHOW TABLES LIKE 'g3ys_faq_lang' [ RunTime:0.001989s ]
  44. SHOW TABLES LIKE 'g3ys_blockquote' [ RunTime:0.001868s ]
  45. SHOW TABLES LIKE 'g3ys_blockquote_lang' [ RunTime:0.002293s ]
  46. SHOW TABLES LIKE 'g3ys_cards' [ RunTime:0.002474s ]
  47. SHOW TABLES LIKE 'g3ys_cards_lang' [ RunTime:0.001894s ]
  48. SHOW TABLES LIKE 'g3ys_objects' [ RunTime:0.002051s ]
  49. SHOW TABLES LIKE 'g3ys_objects_lang' [ RunTime:0.001999s ]
  50. SHOW TABLES LIKE 'g3ys_videos' [ RunTime:0.002454s ]
  51. SHOW TABLES LIKE 'g3ys_videos_lang' [ RunTime:0.003653s ]
  52. SHOW TABLES LIKE 'g3ys_audios' [ RunTime:0.004507s ]
  53. SHOW TABLES LIKE 'g3ys_audios_lang' [ RunTime:0.002784s ]
  54. SHOW TABLES LIKE 'g3ys_files' [ RunTime:0.002242s ]
  55. SHOW TABLES LIKE 'g3ys_files_lang' [ RunTime:0.002104s ]
  56. SHOW TABLES LIKE 'g3ys_richmedia' [ RunTime:0.002022s ]
  57. SHOW TABLES LIKE 'g3ys_richmedia_lang' [ RunTime:0.002408s ]
  58. SHOW FULL COLUMNS FROM `g3ys_paragraph` [ RunTime:0.002111s ]
  59. SELECT * FROM `g3ys_paragraph` WHERE `document_id` = 4757 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000972s ]
  60. SHOW FULL COLUMNS FROM `g3ys_gallery` [ RunTime:0.002018s ]
  61. SELECT * FROM `g3ys_gallery` WHERE `document_id` = 4757 AND `subsite_id` = 26 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000905s ]
  62. SHOW FULL COLUMNS FROM `g3ys_video` [ RunTime:0.002141s ]
  63. SELECT * FROM `g3ys_video` WHERE `document_id` = 4757 AND `subsite_id` = 26 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000957s ]
  64. SHOW FULL COLUMNS FROM `g3ys_faq` [ RunTime:0.001810s ]
  65. SELECT * FROM `g3ys_faq` WHERE `document_id` = 4757 AND `subsite_id` = 26 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000922s ]
  66. SHOW FULL COLUMNS FROM `g3ys_blockquote` [ RunTime:0.002129s ]
  67. SELECT * FROM `g3ys_blockquote` WHERE `document_id` = 4757 AND `subsite_id` = 26 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000925s ]
  68. SHOW FULL COLUMNS FROM `g3ys_cards` [ RunTime:0.002058s ]
  69. SELECT * FROM `g3ys_cards` WHERE `document_id` = 4757 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001256s ]
  70. SHOW FULL COLUMNS FROM `g3ys_objects` [ RunTime:0.002161s ]
  71. SELECT * FROM `g3ys_objects` WHERE `document_id` = 4757 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000978s ]
  72. SHOW FULL COLUMNS FROM `g3ys_videos` [ RunTime:0.002014s ]
  73. SELECT * FROM `g3ys_videos` WHERE `document_id` = 4757 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000954s ]
  74. SHOW FULL COLUMNS FROM `g3ys_audios` [ RunTime:0.002426s ]
  75. SELECT * FROM `g3ys_audios` WHERE `document_id` = 4757 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001036s ]
  76. SHOW FULL COLUMNS FROM `g3ys_files` [ RunTime:0.004099s ]
  77. SELECT * FROM `g3ys_files` WHERE `document_id` = 4757 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001647s ]
  78. SHOW FULL COLUMNS FROM `g3ys_richmedia` [ RunTime:0.006903s ]
  79. SELECT * FROM `g3ys_richmedia` WHERE `document_id` = 4757 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.003341s ]
  80. SELECT * FROM `g3ys_document` WHERE `category_id` = 1237 AND `subsite_id` = 26 AND `pid` = '0' AND `status` = '1' AND ( ( sort > 0) or ( sort = 0 and id < 4757) ) ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.003631s ]
  81. SELECT * FROM `g3ys_document` WHERE `category_id` = 1237 AND `subsite_id` = 26 AND `pid` = '4757' AND `status` = '1' AND `document_type` = 0 ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.002001s ]
  82. SELECT * FROM `g3ys_document` WHERE `category_id` = 1237 AND `subsite_id` = 26 AND `pid` = '0' AND `status` = '1' AND `document_type` = 0 AND ( ( sort>0 and sort <= 0 and id!=4757) or ( sort = 0 and id > 4757) ) ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.002351s ]
  83. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '26' AND `lang` = 'en-US' AND `document_id` = '4759' [ RunTime:0.007548s ]
  84. 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:0.001332s ]
  85. SELECT * FROM `g3ys_total` WHERE `target_id` = '4757' LIMIT 1 [ RunTime:0.001046s ]
  86. SHOW FULL COLUMNS FROM `g3ys_ad_location` [ RunTime:0.002626s ]
  87. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-detail-full' AND `subsite_id` = '26' AND `status` = 1 LIMIT 1 [ RunTime:0.000923s ]
  88. SHOW FULL COLUMNS FROM `g3ys_ad` [ RunTime:0.002660s ]
  89. 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` <= 1786684827 ) AND ( `end_time` = 0 OR `end_time` >= 1786684827 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.001266s ]
  90. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.002082s ]
  91. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 23 AND `subsite_id` = '26' AND `lang` = 'en-US' [ RunTime:0.001014s ]
  92. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.002301s ]
  93. 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:0.000899s ]
  94. 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:0.000768s ]
  95. 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:0.000965s ]
  96. 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:0.000747s ]
  97. 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:0.001468s ]
  98. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-right' AND `subsite_id` = '26' AND `status` = 1 LIMIT 1 [ RunTime:0.001175s ]
  99. 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` <= 1786684827 ) AND ( `end_time` = 0 OR `end_time` >= 1786684827 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.000943s ]
  100. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 25 AND `subsite_id` = '26' AND `lang` = 'en-US' [ RunTime:0.001173s ]
  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:0.000795s ]
  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:0.000870s ]
  103. 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:0.000833s ]
  104. 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:0.001258s ]
  105. 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:0.000959s ]
  106. SHOW FULL COLUMNS FROM `g3ys_tags` [ RunTime:0.004564s ]
  107. SELECT * FROM `g3ys_tags` WHERE `subsite_id` = 26 AND `status` = 1 ORDER BY `sort` DESC,`id` DESC LIMIT 15 [ RunTime:0.002071s ]
  108. SHOW FULL COLUMNS FROM `g3ys_tags_lang` [ RunTime:0.002576s ]
  109. 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:0.002237s ]
  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:0.001358s ]
  111. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '26' AND `category_id` = '2052' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.001688s ]
  112. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '26' AND `category_id` = '2053' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.000771s ]
  113. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '26' AND `category_id` = '2054' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.000861s ]
  114. 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:0.001023s ]
  115. 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:0.000890s ]
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