{"id":5420,"date":"2026-10-06T15:13:11","date_gmt":"2026-10-06T09:43:11","guid":{"rendered":"https:\/\/www.catmock.com\/blog\/?p=5420"},"modified":"2026-10-06T15:13:12","modified_gmt":"2026-10-06T09:43:12","slug":"cat-quant-toppers-strategy","status":"publish","type":"post","link":"https:\/\/www.catmock.com\/blog\/cat-quant-toppers-strategy\/","title":{"rendered":"CAT Quant Toppers&#8217; Strategy: How Toppers Prepare for QA"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Ask ten CAT 99-percentilers how they cracked Quant, and nine of them say some version of the same two words: question selection. Not &#8220;I solved every problem.&#8221; Not &#8220;I&#8217;m naturally good at maths.&#8221; Here&#8217;s the short answer before you read further: toppers don&#8217;t attempt more QA questions than everyone else \u2014 they attempt fewer, pick the right ones with real judgement, and convert almost every single attempt into a correct answer.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This guide breaks down exactly what that looks like in practice \u2014 how toppers prioritise topics, how many questions they actually attempt in a 40-minute QA section, how they train question selection as a skill, and what a realistic month-by-month QA prep plan looks like, whether you&#8217;re an engineer or coming from a non-maths background entirely.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">CAT QA Section: Quick Facts<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Detail<\/th><th>Information<\/th><\/tr><\/thead><tbody><tr><td>Questions in QA section<\/td><td>22<\/td><\/tr><tr><td>Marks for QA<\/td><td>66 (out of 204 total)<\/td><\/tr><tr><td>Time limit<\/td><td>40 minutes (fixed, no switching between sections)<\/td><\/tr><tr><td>Marking scheme<\/td><td>+3 for correct, -1 for incorrect MCQ, no penalty for TITA<\/td><\/tr><tr><td>Typical topper attempts<\/td><td>15-18 out of 22<\/td><\/tr><tr><td>Typical topper accuracy<\/td><td>85-90%+ on attempted questions<\/td><\/tr><tr><td>Core high-weightage topics<\/td><td>Arithmetic, Algebra, Number System, Geometry<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">These figures reflect the exam pattern confirmed on the official CAT website, <a href=\"https:\/\/iimcat.ac.in\/\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-vivid-cyan-blue-color\">iimcat.ac.in<\/mark><\/a>, where IIM Indore publishes the current year&#8217;s structure and marking scheme ahead of the exam.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What Actually Separates a 99 Percentiler From a 90 Percentiler in QA<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">You don&#8217;t need to solve every question to hit 99 percentile in QA \u2014 you need to solve the right ones without mistakes. Here&#8217;s roughly how that plays out:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Percentile Band<\/th><th>Typical QA Attempts<\/th><th>Typical Accuracy<\/th><\/tr><\/thead><tbody><tr><td>90-95 percentile<\/td><td>10-13<\/td><td>70-80%<\/td><\/tr><tr><td>95-98 percentile<\/td><td>13-16<\/td><td>80-85%<\/td><\/tr><tr><td>99+ percentile<\/td><td>15-18<\/td><td>85-90%+<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Notice what doesn&#8217;t change much as you move up this table \u2014 the jump isn&#8217;t really about attempting dramatically more questions. It&#8217;s accuracy that climbs the fastest, and that only comes from picking questions you can actually solve cleanly, rather than fighting through ones that look doable but eat your time.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The Topper&#8217;s QA Study Blueprint<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Toppers rarely treat QA prep as one long, undifferentiated grind. They move through it in phases, and each phase has a different job to do:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Foundation phase (first 2-3 months).<\/strong> Build or rebuild core concepts \u2014 percentages, ratios, time-speed-distance, basic algebra, number properties \u2014 using NCERT-level material before touching advanced problems. Skipping this step is the single most common reason students plateau later.<\/li>\n\n\n\n<li><strong>Topic-wise practice phase (months 3-5).<\/strong> Work through each topic in isolation \u2014 Arithmetic, then Algebra, then Geometry, then Number System \u2014 solving a mix of easy, moderate, and tough questions within each, rather than jumping between topics randomly.<\/li>\n\n\n\n<li><strong>Mock-driven sprint (final 2-3 months).<\/strong> Shift almost entirely to full-length mocks and sectional tests, with detailed post-mock analysis replacing fresh topic learning as the main activity.<\/li>\n\n\n\n<li><strong>Final revision (last 3-4 weeks).<\/strong> Stop learning anything new. Revisit weak areas identified from mock analysis, redo flagged questions, and sharpen question-selection speed under timed conditions.<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">If you&#8217;re still mapping out when each of these phases should start relative to your target exam date, our <a href=\"https:\/\/www.catmock.com\/blog\/when-to-start-cat-mock-tests-2026-timing-strategy\/\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-vivid-cyan-blue-color\"><strong>guide on when to start CAT mock tests<\/strong><\/mark><\/a> lays out a realistic month-wise timeline.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Topic Prioritisation: What Toppers Master First<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Not every QA topic carries equal weight in the actual exam, and toppers prepare accordingly instead of spreading effort evenly:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Topic Area<\/th><th>Why Toppers Prioritise It<\/th><\/tr><\/thead><tbody><tr><td>Arithmetic (percentages, ratios, averages, time-speed-distance, time-work)<\/td><td>Consistently the highest-frequency topic area across recent CAT papers; strong arithmetic alone can anchor a large share of correct attempts<\/td><\/tr><tr><td>Algebra (equations, functions, inequalities)<\/td><td>Appears regularly and rewards strong fundamentals over memorised tricks<\/td><\/tr><tr><td>Number System<\/td><td>Smaller question count, but high-accuracy potential once concepts are genuinely clear<\/td><\/tr><tr><td>Geometry &amp; Mensuration<\/td><td>Lower frequency than Arithmetic or Algebra, but toppers still build at least working familiarity, since skipping it entirely caps your attempt ceiling<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Toppers typically master Arithmetic and Algebra first \u2014 since together they account for most QA questions in a given year \u2014 before investing deep time into Geometry, which has historically carried a smaller share of the section.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Question Selection: The Real Skill Behind a 99 Percentile QA Score<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">This is the part most aspirants underrate. Toppers train themselves to recognise, within the first 20-30 seconds of reading a question, whether it belongs in one of three buckets:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Solve now<\/strong> \u2014 a question you recognise instantly and can solve cleanly within 1.5-2 minutes.<\/li>\n\n\n\n<li><strong>Flag and return<\/strong> \u2014 a question you can solve, but it needs more time than you want to commit on a first pass.<\/li>\n\n\n\n<li><strong>Skip entirely<\/strong> \u2014 a question that either looks unfamiliar or has already cost you more time than it&#8217;s worth.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">The discipline toppers build isn&#8217;t mathematical \u2014 it&#8217;s the willingness to walk away from a half-solved problem rather than chase a sunk cost. Spending four minutes on a single tough question to &#8220;finish what you started&#8221; is one of the most common ways a strong QA attempt turns into a mediocre one.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How Toppers Use Mock Tests to Sharpen QA<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Toppers don&#8217;t just take mocks \u2014 they mine them for information. After every mock, the QA review typically covers:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Which questions they skipped that they could have solved<\/strong>, and why they misjudged them in the moment.<\/li>\n\n\n\n<li><strong>Where they lost time on a question they eventually got wrong anyway<\/strong> \u2014 a clear signal to walk away faster next time.<\/li>\n\n\n\n<li><strong>Calculation errors versus conceptual errors<\/strong>, since the fix for each is completely different.<\/li>\n\n\n\n<li><strong>Topic-wise accuracy trends across multiple mocks<\/strong>, not just a single test&#8217;s overall score.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">If you want a structured bank to analyse QA (and DILR) patterns against, our <a href=\"https:\/\/www.catmock.com\/blog\/dilr-bhandara-free-dilr-sets-cat-2026\/\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-vivid-cyan-blue-color\">free DILR practice sets<\/mark><\/a> and <a href=\"https:\/\/www.catmock.com\/blog\/cat-previous-year-question-paper\/\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-vivid-cyan-blue-color\"><em><strong>CAT previous year question papers<\/strong><\/em><\/mark><\/a> are both built for exactly this kind of topic-wise review.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Daily QA Practice Routine Toppers Follow<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A realistic daily QA routine during the active preparation phase typically looks like this:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>15-25 questions daily<\/strong> in the early topic-building stage, focused on a single topic at a time rather than mixed sets.<\/li>\n\n\n\n<li><strong>One timed, mixed-topic QA set<\/strong> two to three times a week once fundamentals are solid, simulating actual exam conditions.<\/li>\n\n\n\n<li><strong>A short, honest review<\/strong> after every practice session \u2014 not just marking right\/wrong, but noting <em>why<\/em> a wrong answer went wrong.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Consistency across months tends to matter more than any single marathon study session \u2014 toppers who put in steady, focused hours over 6-8 months consistently outperform those who cram intensively in the final few weeks.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Common QA Mistakes Toppers Deliberately Avoid<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Over-attempting.<\/strong> Chasing a high attempt count instead of a high accuracy rate is the fastest way to lose a QA sectional cutoff.<\/li>\n\n\n\n<li><strong>Collecting material without solving it.<\/strong> Toppers consistently say they solved more and hoarded less \u2014 a stacked folder of PDFs doesn&#8217;t move your percentile.<\/li>\n\n\n\n<li><strong>Ignoring weak topics instead of fixing them.<\/strong> Since CAT enforces sectional cutoffs, a single neglected QA sub-topic can cap your entire score regardless of how strong the rest of the section is.<\/li>\n\n\n\n<li><strong>Reacting emotionally to a bad mock.<\/strong> Toppers analyse a poor QA mock logically \u2014 what went wrong, where time leaked \u2014 instead of letting one bad score spiral into panic-studying.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Non-Engineering Background? How Toppers From Other Streams Crack QA<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A large share of 99-percentile QA scorers aren&#8217;t engineers, and their roadmap looks a little different:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Background<\/th><th>Starting Point<\/th><th>Core Focus<\/th><th>Realistic QA Target<\/th><\/tr><\/thead><tbody><tr><td>Non-math stream, no Class 12 maths<\/td><td>NCERT Class 9-10 revision<\/td><td>Arithmetic first, then basic Algebra, then minimal Geometry<\/td><td>85-93 percentile<\/td><\/tr><tr><td>Commerce, some maths exposure<\/td><td>Standard coaching-level material<\/td><td>Full Arithmetic and Algebra, then Geometry<\/td><td>90-97 percentile<\/td><\/tr><tr><td>Engineering background, strong maths foundation<\/td><td>Advanced-level practice directly<\/td><td>Algebra and Geometry depth, plus Number System<\/td><td>95-99+ percentile<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">The pattern holds across backgrounds: toppers from every stream treat Arithmetic as the non-negotiable starting point, because it consistently carries the highest share of QA questions regardless of your academic history.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Final 30 Days: How Toppers Approach QA Revision<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">In the last month, toppers largely stop learning and start refining. The typical shift looks like this:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>No new topics.<\/strong> Everything from this point forward is revision and speed-building on what&#8217;s already been learned.<\/li>\n\n\n\n<li><strong>Redo flagged mock questions<\/strong> from the last 2-3 months, specifically the ones marked &#8220;could have solved, ran out of time.&#8221;<\/li>\n\n\n\n<li><strong>Time-box practice sets tightly<\/strong> \u2014 simulate the real 40-minute pressure rather than practising QA questions in isolation with no clock running.<\/li>\n\n\n\n<li><strong>Revise formula sheets and shortcut notes<\/strong>, built up across the preparation months, rather than re-deriving concepts from scratch.<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\">Summary<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>CAT QA has <strong>22 questions worth 66 marks<\/strong> in a fixed 40-minute window, with +3\/-1 marking on MCQs and no penalty on TITA.<\/li>\n\n\n\n<li><strong>99 percentile typically needs 15-18 correct attempts at 85-90%+ accuracy<\/strong>, not a near-complete attempt of the section.<\/li>\n\n\n\n<li>Toppers prioritise <strong>Arithmetic and Algebra first<\/strong>, since these topics carry the highest question share, before deepening Geometry and Number System.<\/li>\n\n\n\n<li><strong>Question selection \u2014 not raw problem-solving speed \u2014 is the real differentiator<\/strong>, trained through deliberate practice in recognising which questions to solve, flag, or skip.<\/li>\n\n\n\n<li>Non-engineers reach 99 percentile too, following the same Arithmetic-first roadmap, just starting from an earlier foundational point.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">FAQs: CAT Quant Toppers&#8217; Strategy<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Q1. How many QA questions do CAT toppers actually attempt?<\/strong> <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Most 99-percentile scorers attempt 15-18 out of 22 QA questions, prioritising accuracy over attempting every question in the section.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Q2. What accuracy do CAT toppers maintain in Quant?<\/strong> <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Toppers typically maintain 85-90%+ accuracy on the questions they attempt in QA, rather than attempting more questions at lower accuracy.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Q3. Which QA topics should I prioritise first for CAT?<\/strong> <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Start with Arithmetic and Algebra, since these consistently carry the highest share of QA questions, before moving to Number System and Geometry.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Q4. Can a non-engineering student score 99 percentile in CAT QA?<\/strong> <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Yes. Many 99-percentile scorers come from non-engineering backgrounds. The roadmap typically starts with NCERT Class 9-10 revision before moving into Arithmetic, Algebra, and selectively into Geometry.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Q5. How do toppers decide which QA questions to skip?<\/strong> <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Toppers judge a question within the first 20-30 seconds of reading it \u2014 solving it immediately if it&#8217;s familiar, flagging it for later if it needs more time, or skipping it outright if it looks unfamiliar or has already cost too much time.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Q6. How many hours should I practice QA daily for a 99-percentile strategy?<\/strong> <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Most toppers practice 15-25 QA questions daily during the foundation phase, shifting to timed mixed sets two to three times a week as their preparation progresses, over a consistent 6-8 month period.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">  Conclusion<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A 99-percentile QA score isn&#8217;t about solving harder questions than everyone else \u2014 it&#8217;s about solving fewer questions with near-perfect accuracy and knowing, almost instinctively, which ones to walk away from. Build your Arithmetic and Algebra fundamentals first, train question selection as deliberately as you train problem-solving, and let your mock analysis \u2014 not your mock score \u2014 drive what you study next. Once your QA strategy is in place, put it to the test with <a href=\"https:\/\/www.catmock.com\/\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-vivid-cyan-blue-color\">free CAT mock tests on CATMOCK<\/mark><\/a> and track your attempt-vs-accuracy numbers the same way toppers do.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">You May Also Like :&nbsp;<strong><a href=\"https:\/\/www.catmock.com\/\"><mark style=\"background-color:rgba(0, 0, 0, 0);color:#1e26ca\" class=\"has-inline-color\">CAT MOCK<\/mark><\/a><\/strong>,&nbsp;<strong><a href=\"https:\/\/www.catmock.com\/pyq\/cat\/2017\"><mark style=\"background-color:rgba(0, 0, 0, 0);color:#1e26ca\" class=\"has-inline-color\">CAT MOCK PYQ<\/mark><\/a><\/strong><br>Follow Us On :&nbsp;<a href=\"https:\/\/www.facebook.com\/catmock.in?mibextid=ZbWKwL\"><strong><mark style=\"background-color:rgba(0, 0, 0, 0);color:#113dc3\" class=\"has-inline-color\">Facebook<\/mark><\/strong><\/a>,&nbsp;<strong><a href=\"https:\/\/www.instagram.com\/cat.mock\"><mark style=\"background-color:rgba(0, 0, 0, 0);color:#ed05b3\" class=\"has-inline-color\">Instagram<\/mark><\/a><\/strong>,&nbsp;<a href=\"https:\/\/www.youtube.com\/@CATMock\"><strong><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-vivid-red-color\">Youtube<\/mark><\/strong><\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Ask ten CAT 99-percentilers how they cracked Quant, and nine of them say some version of the same two words: question selection. Not &#8220;I solved every problem.&#8221; Not &#8220;I&#8217;m naturally good at maths.&#8221; Here&#8217;s the short answer before you read further: toppers don&#8217;t attempt more QA questions than everyone else \u2014 they attempt fewer, pick [&hellip;]<\/p>\n","protected":false},"author":14,"featured_media":5425,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ocean_front_end_style_editor":"no","ocean_post_layout":"","ocean_both_sidebars_style":"","ocean_both_sidebars_content_width":0,"ocean_both_sidebars_sidebars_width":0,"ocean_sidebar":"","ocean_second_sidebar":"","ocean_disable_margins":"enable","ocean_add_body_class":"","ocean_shortcode_before_top_bar":"","ocean_shortcode_after_top_bar":"","ocean_shortcode_before_header":"","ocean_shortcode_after_header":"","ocean_has_shortcode":"","ocean_shortcode_after_title":"","ocean_shortcode_before_footer_widgets":"","ocean_shortcode_after_footer_widgets":"","ocean_shortcode_before_footer_bottom":"","ocean_shortcode_after_footer_bottom":"","ocean_display_top_bar":"default","ocean_display_header":"default","ocean_header_style":"","ocean_center_header_left_menu":"","ocean_custom_header_template":"","ocean_custom_logo":0,"ocean_custom_retina_logo":0,"ocean_custom_logo_max_width":0,"ocean_custom_logo_tablet_max_width":0,"ocean_custom_logo_mobile_max_width":0,"ocean_custom_logo_max_height":0,"ocean_custom_logo_tablet_max_height":0,"ocean_custom_logo_mobile_max_height":0,"ocean_header_custom_menu":"","ocean_menu_typo_font_family":"","ocean_menu_typo_font_subset":"","ocean_menu_typo_font_size":0,"ocean_menu_typo_font_size_tablet":0,"ocean_menu_typo_font_size_mobile":0,"ocean_menu_typo_font_size_unit":"px","ocean_menu_typo_font_weight":"","ocean_menu_typo_font_weight_tablet":"","ocean_menu_typo_font_weight_mobile":"","ocean_menu_typo_transform":"","ocean_menu_typo_transform_tablet":"","ocean_menu_typo_transform_mobile":"","ocean_menu_typo_line_height":0,"ocean_menu_typo_line_height_tablet":0,"ocean_menu_typo_line_height_mobile":0,"ocean_menu_typo_line_height_unit":"","ocean_menu_typo_spacing":0,"ocean_menu_typo_spacing_tablet":0,"ocean_menu_typo_spacing_mobile":0,"ocean_menu_typo_spacing_unit":"","ocean_menu_link_color":"","ocean_menu_link_color_hover":"","ocean_menu_link_color_active":"","ocean_menu_link_background":"","ocean_menu_link_hover_background":"","ocean_menu_link_active_background":"","ocean_menu_social_links_bg":"","ocean_menu_social_hover_links_bg":"","ocean_menu_social_links_color":"","ocean_menu_social_hover_links_color":"","ocean_disable_title":"default","ocean_disable_heading":"default","ocean_post_title":"","ocean_post_subheading":"","ocean_post_title_style":"","ocean_post_title_background_color":"","ocean_post_title_background":0,"ocean_post_title_bg_image_position":"","ocean_post_title_bg_image_attachment":"","ocean_post_title_bg_image_repeat":"","ocean_post_title_bg_image_size":"","ocean_post_title_height":0,"ocean_post_title_bg_overlay":0.5,"ocean_post_title_bg_overlay_color":"","ocean_disable_breadcrumbs":"default","ocean_breadcrumbs_color":"","ocean_breadcrumbs_separator_color":"","ocean_breadcrumbs_links_color":"","ocean_breadcrumbs_links_hover_color":"","ocean_display_footer_widgets":"default","ocean_display_footer_bottom":"default","ocean_custom_footer_template":"","ocean_post_oembed":"","ocean_post_self_hosted_media":"","ocean_post_video_embed":"","ocean_link_format":"","ocean_link_format_target":"self","ocean_quote_format":"","ocean_quote_format_link":"post","ocean_gallery_link_images":"on","ocean_gallery_id":[],"footnotes":""},"categories":[1],"tags":[],"class_list":["post-5420","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","entry","has-media"],"featured_image_src":"https:\/\/www.catmock.com\/blog\/wp-content\/uploads\/2026\/10\/CAT-Quant-Toppers-Strategy-e1791279738921.webp","author_info":{"display_name":"Suesh Pandey","author_link":"https:\/\/www.catmock.com\/blog\/author\/suesh\/"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>CAT Quant Toppers&#039; 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