{"id":21902,"date":"2026-02-24T11:03:53","date_gmt":"2026-02-24T05:33:53","guid":{"rendered":"https:\/\/trending.niftytrader.in\/?p=21902"},"modified":"2026-02-24T12:29:12","modified_gmt":"2026-02-24T06:59:12","slug":"3lakh-cr-selloff-sensex-crash-nifty-25550","status":"publish","type":"post","link":"https:\/\/www.niftytrader.in\/markets\/3lakh-cr-selloff-sensex-crash-nifty-25550\/","title":{"rendered":"\u20b93 Lakh Crore Wipeout: Sensex Crashes Nifty Slips Below 25,550\u20146 Triggers That Spooked Dalal Street"},"content":{"rendered":"<p data-start=\"554\" data-end=\"798\">Indian equities faced a <strong data-start=\"578\" data-end=\"608\">brutal sell-off on Tuesday<\/strong>, as <strong data-start=\"613\" data-end=\"674\">\u20b92.94 lakh crore in investor wealth vanished within hours<\/strong>, triggered by <strong data-start=\"689\" data-end=\"797\">a violent IT sector meltdown, fresh Trump tariff threats, a global tech rout, and weekly expiry volatility<\/strong>.<\/p>\n<p data-start=\"800\" data-end=\"1020\">The <strong data-start=\"804\" data-end=\"838\"><a href=\"https:\/\/www.bseindia.com\/sensex\/code\/16\/\" rel=\"noopener\">Sensex<\/a> plunged over 750 points<\/strong> to an intraday low of <strong data-start=\"861\" data-end=\"871\">82,481<\/strong>, while the <strong data-start=\"883\" data-end=\"933\">Nifty cracked below the crucial 25,550 support<\/strong>, shattering bullish momentum and forcing traders into aggressive risk-off positioning.<\/p>\n<p data-start=\"1022\" data-end=\"1145\">The sell-off was <strong data-start=\"1039\" data-end=\"1080\">fast, deep, and structurally damaging<\/strong>, flipping intraday sentiment from <strong data-start=\"1115\" data-end=\"1144\">dip-buying \u2192 sell-on-rise<\/strong>.<\/p>\n<h2 data-start=\"1191\" data-end=\"1219\">Market Damage Snapshot<\/h2>\n<div class=\"TyagGW_tableContainer\">\n<div class=\"group TyagGW_tableWrapper flex flex-col-reverse w-fit\" tabindex=\"-1\">\n<table class=\"w-fit min-w-(--thread-content-width)\" style=\"height: 97px;\" width=\"719\" data-start=\"1221\" data-end=\"1408\">\n<thead data-start=\"1221\" data-end=\"1245\">\n<tr data-start=\"1221\" data-end=\"1245\">\n<th class=\"\" data-start=\"1221\" data-end=\"1229\" data-col-size=\"sm\">Index<\/th>\n<th class=\"\" data-start=\"1229\" data-end=\"1235\" data-col-size=\"sm\">Low<\/th>\n<th class=\"\" data-start=\"1235\" data-end=\"1245\" data-col-size=\"sm\">Change<\/th>\n<\/tr>\n<\/thead>\n<tbody data-start=\"1274\" data-end=\"1408\">\n<tr data-start=\"1274\" data-end=\"1310\">\n<td data-start=\"1274\" data-end=\"1287\" data-col-size=\"sm\"><strong data-start=\"1276\" data-end=\"1286\">Sensex<\/strong><\/td>\n<td data-col-size=\"sm\" data-start=\"1287\" data-end=\"1296\">82,481<\/td>\n<td data-col-size=\"sm\" data-start=\"1296\" data-end=\"1310\">\u25bc 750+ pts<\/td>\n<\/tr>\n<tr data-start=\"1311\" data-end=\"1351\">\n<td data-start=\"1311\" data-end=\"1326\" data-col-size=\"sm\"><strong data-start=\"1313\" data-end=\"1325\">Nifty 50<\/strong><\/td>\n<td data-col-size=\"sm\" data-start=\"1326\" data-end=\"1337\">&lt; 25,550<\/td>\n<td data-col-size=\"sm\" data-start=\"1337\" data-end=\"1351\">\u25bc 150+ pts<\/td>\n<\/tr>\n<tr data-start=\"1352\" data-end=\"1408\">\n<td data-start=\"1352\" data-end=\"1374\" data-col-size=\"sm\"><strong data-start=\"1354\" data-end=\"1373\">Market Cap Loss<\/strong><\/td>\n<td data-col-size=\"sm\" data-start=\"1374\" data-end=\"1393\">\u20b92.94 lakh crore<\/td>\n<td data-col-size=\"sm\" data-start=\"1393\" data-end=\"1408\">One session<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<h2 data-start=\"1454\" data-end=\"1517\">Reasons Behind Today\u2019s Sharp Market Fall<\/h2>\n<h3 data-start=\"1524\" data-end=\"1580\">1. IT Sector Bloodbath: AI Shock Reprices Valuations<\/h3>\n<p data-start=\"1582\" data-end=\"1723\">The <strong data-start=\"1586\" data-end=\"1622\">Nifty IT index collapsed over 2%<\/strong>, as <strong data-start=\"1627\" data-end=\"1690\">Infosys (-3%), HCL Tech, Mphasis, Persistent (-2%+), and TCS<\/strong> saw heavy institutional selling.<\/p>\n<p data-start=\"1725\" data-end=\"1912\">The trigger: <strong data-start=\"1738\" data-end=\"1768\">Anthropic\u2019s Claude Code AI<\/strong>, capable of <strong data-start=\"1781\" data-end=\"1815\">automating COBOL modernization<\/strong>, threatens <strong data-start=\"1827\" data-end=\"1869\">long-term Indian IT outsourcing demand<\/strong>, especially in <strong data-start=\"1885\" data-end=\"1911\">legacy system upgrades<\/strong>.<\/p>\n<p data-start=\"1914\" data-end=\"2001\">In the US, <strong data-start=\"1925\" data-end=\"1954\">IBM plunged 13% overnight<\/strong>, confirming <strong data-start=\"1967\" data-end=\"2000\">global tech derating pressure<\/strong>.<\/p>\n<p data-start=\"2003\" data-end=\"2113\"><strong data-start=\"2003\" data-end=\"2021\">Market Signal:<\/strong><br data-start=\"2021\" data-end=\"2024\" \/>\u00a0Structural valuation reset risk for Indian IT<br data-start=\"2072\" data-end=\"2075\" \/>\u201cBuy the dip\u201d \u2192 <strong data-start=\"2094\" data-end=\"2113\">Sell on rallies<\/strong><\/p>\n<h3 data-start=\"2159\" data-end=\"2217\">2. Trump Tariff Shock: Global Trade Risk Back on Table<\/h3>\n<p data-start=\"2219\" data-end=\"2415\">Former US President <strong data-start=\"2239\" data-end=\"2278\">Donald Trump reignited tariff fears<\/strong>, warning that countries <strong data-start=\"2303\" data-end=\"2365\">\u201cgaming the Supreme Court ruling\u201d would face steep tariffs<\/strong>, including a proposed <strong data-start=\"2388\" data-end=\"2414\">15% global import duty<\/strong>.<\/p>\n<p data-start=\"2417\" data-end=\"2541\">This <strong data-start=\"2422\" data-end=\"2458\">instantly revived trade war risk<\/strong>, pressuring export-heavy sectors like <strong data-start=\"2497\" data-end=\"2540\">IT, auto ancillaries, and manufacturing<\/strong>.<\/p>\n<p data-start=\"2543\" data-end=\"2645\"><strong data-start=\"2543\" data-end=\"2561\">Market Signal:<\/strong><br data-start=\"2561\" data-end=\"2564\" \/>Risk-off flows \u2192 EM selling<br data-start=\"2594\" data-end=\"2597\" \/>Export sectors face earnings downgrade risk<\/p>\n<h3 data-start=\"2691\" data-end=\"2736\">3. Global Tech Rout \u2192 Asian Markets Slide<\/h3>\n<p data-start=\"2738\" data-end=\"2784\">Overnight <strong data-start=\"2748\" data-end=\"2783\">US tech stocks sold off sharply<\/strong>:<\/p>\n<ul data-start=\"2786\" data-end=\"2830\">\n<li data-start=\"2786\" data-end=\"2808\">\n<p data-start=\"2788\" data-end=\"2808\"><strong data-start=\"2788\" data-end=\"2800\">S&amp;P 500:<\/strong> -1.0%<\/p>\n<\/li>\n<li data-start=\"2809\" data-end=\"2830\">\n<p data-start=\"2811\" data-end=\"2830\"><strong data-start=\"2811\" data-end=\"2822\">Nasdaq:<\/strong> -1.1%<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"2832\" data-end=\"2925\">Asian markets followed lower, dragging <strong data-start=\"2871\" data-end=\"2924\">India into a synchronized global de-risking cycle<\/strong>.<\/p>\n<p data-start=\"2927\" data-end=\"3039\"><strong data-start=\"2927\" data-end=\"2945\">Market Signal:<\/strong><br data-start=\"2945\" data-end=\"2948\" \/>Weak global risk appetite = fragile Indian bounce<br data-start=\"3000\" data-end=\"3003\" \/>High-beta stocks under pressure<\/p>\n<h3 data-start=\"3085\" data-end=\"3139\">4. Weekly Derivative Expiry \u2192 Volatility Explosion<\/h3>\n<p data-start=\"3141\" data-end=\"3254\">With <strong data-start=\"3146\" data-end=\"3169\">Nifty weekly expiry<\/strong>, traders aggressively <strong data-start=\"3192\" data-end=\"3241\">unwound long positions and added fresh hedges<\/strong>, triggering:<\/p>\n<ul data-start=\"3256\" data-end=\"3332\">\n<li data-start=\"3256\" data-end=\"3281\">\n<p data-start=\"3258\" data-end=\"3281\">Sharp intraday swings<\/p>\n<\/li>\n<li data-start=\"3282\" data-end=\"3304\">\n<p data-start=\"3284\" data-end=\"3304\">Forced liquidation<\/p>\n<\/li>\n<li data-start=\"3305\" data-end=\"3332\">\n<p data-start=\"3307\" data-end=\"3332\">Gamma-driven volatility<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"3334\" data-end=\"3418\"><strong data-start=\"3334\" data-end=\"3352\">Market Signal:<\/strong><br data-start=\"3352\" data-end=\"3355\" \/>\u00a0Intraday spikes unreliable<br data-start=\"3384\" data-end=\"3387\" \/>\u00a0Breakdowns get exaggerated<\/p>\n<h3 data-start=\"3464\" data-end=\"3501\">5. Weak Rupee Adds Macro Pressure<\/h3>\n<p data-start=\"3503\" data-end=\"3557\">The <strong data-start=\"3507\" data-end=\"3537\">rupee slipped to 90.95\/USD<\/strong>, reviving fears of:<\/p>\n<ul data-start=\"3559\" data-end=\"3632\">\n<li data-start=\"3559\" data-end=\"3575\">\n<p data-start=\"3561\" data-end=\"3575\">FII outflows<\/p>\n<\/li>\n<li data-start=\"3576\" data-end=\"3598\">\n<p data-start=\"3578\" data-end=\"3598\">Imported inflation<\/p>\n<\/li>\n<li data-start=\"3599\" data-end=\"3632\">\n<p data-start=\"3601\" data-end=\"3632\">Margin pressure on corporates<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"3634\" data-end=\"3729\"><strong data-start=\"3634\" data-end=\"3652\">Market Signal:<\/strong><br data-start=\"3652\" data-end=\"3655\" \/>\u00a0Rupee weakness = equity pressure<br data-start=\"3690\" data-end=\"3693\" \/>\u00a0Exporters outperform defensives<\/p>\n<h3 data-start=\"3775\" data-end=\"3826\">6. Auto Stocks Crack \u2192 Consumption Worries Rise<\/h3>\n<p data-start=\"3828\" data-end=\"3948\">Auto heavyweights also came under pressure, reinforcing <strong data-start=\"3884\" data-end=\"3911\">domestic demand caution and<\/strong>\u00a0amplifying <strong data-start=\"3924\" data-end=\"3947\">broad-based selling<\/strong>.<\/p>\n<h2 data-start=\"3955\" data-end=\"4017\">Nifty Technical Outlook<\/h2>\n<div class=\"TyagGW_tableContainer\">\n<div class=\"group TyagGW_tableWrapper flex flex-col-reverse w-fit\" tabindex=\"-1\">\n<table class=\"w-fit min-w-(--thread-content-width)\" data-start=\"4019\" data-end=\"4299\">\n<thead data-start=\"4019\" data-end=\"4046\">\n<tr data-start=\"4019\" data-end=\"4046\">\n<th class=\"\" data-start=\"4019\" data-end=\"4027\" data-col-size=\"sm\">Level<\/th>\n<th class=\"\" data-start=\"4027\" data-end=\"4034\" data-col-size=\"sm\">Zone<\/th>\n<th class=\"\" data-start=\"4034\" data-end=\"4046\" data-col-size=\"sm\">Strategy<\/th>\n<\/tr>\n<\/thead>\n<tbody data-start=\"4083\" data-end=\"4299\">\n<tr data-start=\"4083\" data-end=\"4140\">\n<td data-start=\"4083\" data-end=\"4105\" data-col-size=\"sm\"><strong data-start=\"4085\" data-end=\"4104\">25,850 \u2013 25,900<\/strong><\/td>\n<td data-col-size=\"sm\" data-start=\"4105\" data-end=\"4124\">Heavy Resistance<\/td>\n<td data-col-size=\"sm\" data-start=\"4124\" data-end=\"4140\">Sell on rise<\/td>\n<\/tr>\n<tr data-start=\"4141\" data-end=\"4189\">\n<td data-start=\"4141\" data-end=\"4154\" data-col-size=\"sm\"><strong data-start=\"4143\" data-end=\"4153\">25,550<\/strong><\/td>\n<td data-col-size=\"sm\" data-start=\"4154\" data-end=\"4171\">Breakdown Zone<\/td>\n<td data-col-size=\"sm\" data-start=\"4171\" data-end=\"4189\">Now resistance<\/td>\n<\/tr>\n<tr data-start=\"4190\" data-end=\"4251\">\n<td data-start=\"4190\" data-end=\"4212\" data-col-size=\"sm\"><strong data-start=\"4192\" data-end=\"4211\">25,300 \u2013 25,250<\/strong><\/td>\n<td data-col-size=\"sm\" data-start=\"4212\" data-end=\"4232\">Immediate Support<\/td>\n<td data-col-size=\"sm\" data-start=\"4232\" data-end=\"4251\">Bounce possible<\/td>\n<\/tr>\n<tr data-start=\"4252\" data-end=\"4299\">\n<td data-start=\"4252\" data-end=\"4265\" data-col-size=\"sm\"><strong data-start=\"4254\" data-end=\"4264\">25,000<\/strong><\/td>\n<td data-col-size=\"sm\" data-start=\"4265\" data-end=\"4281\">Psychological<\/td>\n<td data-col-size=\"sm\" data-start=\"4281\" data-end=\"4299\">High-risk zone<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<p data-start=\"4301\" data-end=\"4399\"><strong data-start=\"4301\" data-end=\"4316\">Trend Bias:<\/strong><br data-start=\"4316\" data-end=\"4319\" \/><strong data-start=\"4322\" data-end=\"4399\">Sell on rallies | Intraday volatility elevated | Trend turning corrective<\/strong><\/p>\n<h2 data-start=\"4406\" data-end=\"4445\">Why This Matters for Traders Today<\/h2>\n<p data-start=\"4447\" data-end=\"4482\">This is <strong data-start=\"4455\" data-end=\"4481\">not just a routine dip<\/strong>.<\/p>\n<p data-start=\"4484\" data-end=\"4502\">This move signals:<\/p>\n<ul data-start=\"4504\" data-end=\"4648\">\n<li data-start=\"4504\" data-end=\"4540\">\n<p data-start=\"4506\" data-end=\"4540\"><strong data-start=\"4506\" data-end=\"4540\">Structural risk to IT earnings<\/strong><\/p>\n<\/li>\n<li data-start=\"4541\" data-end=\"4591\">\n<p data-start=\"4543\" data-end=\"4591\"><strong data-start=\"4543\" data-end=\"4591\">Global macro shock from Trump tariff revival<\/strong><\/p>\n<\/li>\n<li data-start=\"4592\" data-end=\"4648\">\n<p data-start=\"4594\" data-end=\"4648\"><strong data-start=\"4594\" data-end=\"4648\">Shift from momentum \u2192 defensive market positioning<\/strong><\/p>\n<\/li>\n<\/ul>\n<p data-start=\"4650\" data-end=\"4757\"><strong data-start=\"4650\" data-end=\"4669\">Smart Strategy:<\/strong><br data-start=\"4669\" data-end=\"4672\" \/>\u2714 Book profits on rallies<br data-start=\"4697\" data-end=\"4700\" \/>\u2714 Reduce IT overweight<br data-start=\"4722\" data-end=\"4725\" \/>\u2714 Trade light, protect capital<\/p>\n<h2 data-start=\"5731\" data-end=\"5756\">Final Market Verdict<\/h2>\n<p data-start=\"5758\" data-end=\"5813\"><strong data-start=\"5758\" data-end=\"5813\">Today\u2019s sell-off marks a critical inflection point.<\/strong><\/p>\n<p data-start=\"5815\" data-end=\"5999\">Markets are <strong data-start=\"5827\" data-end=\"5906\">re-pricing global risk, AI disruption, and trade uncertainty simultaneously,<\/strong>\u00a0a combination that <strong data-start=\"5928\" data-end=\"5999\">demands defensive trading strategy and disciplined risk management.<\/strong><\/p>\n<h2 data-start=\"5815\" data-end=\"5999\">Frequently Asked Questions<\/h2>\n<h3 data-start=\"5214\" data-end=\"5260\">1. Why did Indian markets fall sharply today?<\/h3>\n<p data-start=\"5261\" data-end=\"5392\">Markets crashed due to the IT<strong data-start=\"5284\" data-end=\"5392\"> sector selloff, Trump&#8217;s tariff threats, the US tech rout, rupee weakness, and derivative expiry volatility.<\/strong><\/p>\n<h3 data-start=\"5394\" data-end=\"5427\">2. Which sectors were worst hit?<\/h3>\n<p data-start=\"5428\" data-end=\"5494\"><strong data-start=\"5428\" data-end=\"5463\">IT and auto stocks led the fall<\/strong>, followed by global cyclicals.<\/p>\n<h3 data-start=\"5496\" data-end=\"5537\">3. Is this correction or trend reversal?<\/h3>\n<p data-start=\"5538\" data-end=\"5630\">This signals <strong data-start=\"5551\" data-end=\"5606\">short-term trend reversal with corrective structure<\/strong>, not just a normal dip.<\/p>\n<h3 data-start=\"5632\" data-end=\"5666\">4. What are key Nifty levels now?<\/h3>\n<p data-start=\"5667\" data-end=\"5724\">Support: <strong data-start=\"5676\" data-end=\"5693\">25,300\u201325,250<\/strong>, Resistance: <strong data-start=\"5707\" data-end=\"5724\">25,850\u201325,900<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Indian equities faced a brutal sell-off on Tuesday, as \u20b92.94 lakh crore in investor wealth vanished within hours, triggered by a violent IT sector meltdown, fresh Trump tariff threats, a global tech rout, and weekly expiry volatility. The Sensex plunged over 750 points to an intraday low of 82,481, while the Nifty cracked below the [&hellip;]<\/p>\n","protected":false},"author":11,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[615],"tags":[],"ppma_author":[1523],"class_list":{"0":"post-21902","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-stock-market-news"}," _eael_post_view_count":0,"authors":[{"term_id":1523,"user_id":11,"is_guest":0,"slug":"nikki","display_name":"Nikki Lodha","avatar_url":"https:\/\/secure.gravatar.com\/avatar\/ae2e265bd56e0e890c866fbaa55d29846ba20cc5372adf666652268816af117e?s=96&d=mm&r=g","0":null,"1":"","2":"","3":"","4":"","5":"","6":"","7":""}],"_links":{"self":[{"href":"https:\/\/www.niftytrader.in\/markets\/wp-json\/wp\/v2\/posts\/21902","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.niftytrader.in\/markets\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.niftytrader.in\/markets\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.niftytrader.in\/markets\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/www.niftytrader.in\/markets\/wp-json\/wp\/v2\/comments?post=21902"}],"version-history":[{"count":2,"href":"https:\/\/www.niftytrader.in\/markets\/wp-json\/wp\/v2\/posts\/21902\/revisions"}],"predecessor-version":[{"id":21907,"href":"https:\/\/www.niftytrader.in\/markets\/wp-json\/wp\/v2\/posts\/21902\/revisions\/21907"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.niftytrader.in\/markets\/wp-json\/wp\/v2\/media\/21903"}],"wp:attachment":[{"href":"https:\/\/www.niftytrader.in\/markets\/wp-json\/wp\/v2\/media?parent=21902"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.niftytrader.in\/markets\/wp-json\/wp\/v2\/categories?post=21902"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.niftytrader.in\/markets\/wp-json\/wp\/v2\/tags?post=21902"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.niftytrader.in\/markets\/wp-json\/wp\/v2\/ppma_author?post=21902"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}