{"id":27313,"date":"2026-06-08T12:37:41","date_gmt":"2026-06-08T07:07:41","guid":{"rendered":"https:\/\/trending.niftytrader.in\/?p=27313"},"modified":"2026-06-08T12:56:11","modified_gmt":"2026-06-08T07:26:11","slug":"how-to-read-fii-dii-data-report-guide","status":"publish","type":"post","link":"https:\/\/www.niftytrader.in\/markets\/how-to-read-fii-dii-data-report-guide\/","title":{"rendered":"How to Read an FII\/DII Data Report (With Examples)"},"content":{"rendered":"<p data-start=\"182\" data-end=\"418\"><strong data-start=\"182\" data-end=\"418\">FII and DII data reports are among the most closely watched indicators in the Indian stock market, they reveal where institutional money is flowing and can help investors understand market sentiment before price action confirms it.<\/strong><\/p>\n<blockquote data-start=\"420\" data-end=\"558\">\n<p data-start=\"422\" data-end=\"558\"><strong data-start=\"422\" data-end=\"558\">Data referenced in examples and studies as of June 2026. Historical analysis based on NSE FII\/DII datasets and NiftyTrader Research.<\/strong><\/p>\n<\/blockquote>\n<hr data-start=\"560\" data-end=\"563\" \/>\n<h2 data-section-id=\"9jfqz8\" data-start=\"565\" data-end=\"581\">Key Takeaways<\/h2>\n<ul data-start=\"583\" data-end=\"1240\">\n<li data-section-id=\"1r92tcw\" data-start=\"583\" data-end=\"722\">FII (Foreign Institutional Investors) and DII (Domestic Institutional Investors) data is released daily by <a href=\"https:\/\/www.nseindia.com\/\" rel=\"noopener\">NSE<\/a> and <a href=\"https:\/\/www.bseindia.com\/?\" rel=\"noopener\">BSE<\/a> after market hours<\/li>\n<li data-section-id=\"15a8go\" data-start=\"723\" data-end=\"817\">The most important figure in any report is the net value, Total Purchases minus Total Sales<\/li>\n<li data-section-id=\"17zpoil\" data-start=\"818\" data-end=\"954\">FIIs buying in cash markets signals bullish risk appetite; FIIs selling while DIIs buy signals domestic absorption of foreign outflows<\/li>\n<li data-section-id=\"2nd8o2\" data-start=\"955\" data-end=\"1061\">F&amp;O data from FIIs matters as much as cash, it reveals directional bets, not just portfolio rebalancing<\/li>\n<li data-section-id=\"1kj8ujx\" data-start=\"1062\" data-end=\"1136\">Consecutive-day streaks carry more signal than a single session&#8217;s number<\/li>\n<li data-section-id=\"zrol86\" data-start=\"1137\" data-end=\"1240\">Institutional buying is useful context, not a guarantee, price action remains the final confirmation<\/li>\n<\/ul>\n<hr data-start=\"1242\" data-end=\"1245\" \/>\n<h2 data-section-id=\"1wqd6om\" data-start=\"1247\" data-end=\"1281\">What Is an FII\/DII Data Report?<\/h2>\n<p data-start=\"1283\" data-end=\"1560\">An FII\/DII data report shows the daily buying and selling activity of institutional investors in Indian equities. These figures are published daily by NSE and BSE, and professional traders track them every evening to gauge institutional sentiment before the next session opens.<\/p>\n<p data-start=\"1562\" data-end=\"1599\">The report generally looks like this:<\/p>\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: 100px;\" width=\"727\" data-start=\"1601\" data-end=\"1797\">\n<thead data-start=\"1601\" data-end=\"1674\">\n<tr data-start=\"1601\" data-end=\"1674\">\n<th class=\"last:pe-10\" data-start=\"1601\" data-end=\"1615\" data-col-size=\"sm\">Participant<\/th>\n<th class=\"last:pe-10\" data-start=\"1615\" data-end=\"1634\" data-col-size=\"sm\">Buy Value (\u20b9 Cr)<\/th>\n<th class=\"last:pe-10\" data-start=\"1634\" data-end=\"1654\" data-col-size=\"sm\">Sell Value (\u20b9 Cr)<\/th>\n<th class=\"last:pe-10\" data-start=\"1654\" data-end=\"1674\" data-col-size=\"sm\">Net Value (\u20b9 Cr)<\/th>\n<\/tr>\n<\/thead>\n<tbody data-start=\"1729\" data-end=\"1797\">\n<tr data-start=\"1729\" data-end=\"1763\">\n<td data-start=\"1729\" data-end=\"1735\" data-col-size=\"sm\">FII<\/td>\n<td data-start=\"1735\" data-end=\"1744\" data-col-size=\"sm\">12,500<\/td>\n<td data-col-size=\"sm\" data-start=\"1744\" data-end=\"1753\">15,000<\/td>\n<td data-col-size=\"sm\" data-start=\"1753\" data-end=\"1763\">\u20132,500<\/td>\n<\/tr>\n<tr data-start=\"1764\" data-end=\"1797\">\n<td data-start=\"1764\" data-end=\"1770\" data-col-size=\"sm\">DII<\/td>\n<td data-start=\"1770\" data-end=\"1779\" data-col-size=\"sm\">10,800<\/td>\n<td data-col-size=\"sm\" data-start=\"1779\" data-end=\"1787\">8,700<\/td>\n<td data-col-size=\"sm\" data-start=\"1787\" data-end=\"1797\">+2,100<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<p data-start=\"1799\" data-end=\"1897\">The most important figure is the net value. Everything else flows from understanding it correctly.<\/p>\n<hr data-start=\"1899\" data-end=\"1902\" \/>\n<h2 data-section-id=\"1rt0unr\" data-start=\"1904\" data-end=\"1940\">What 10 Years of FII Data Reveals<\/h2>\n<p data-start=\"1942\" data-end=\"2213\">A decade of FII flow data, from 2014 through 2024, exposes patterns that single-year analysis consistently misses. The most important structural finding: FII activity in Indian equities is not random. It clusters around three macro triggers with remarkable consistency.<\/p>\n<ul>\n<li data-start=\"2215\" data-end=\"2597\"><strong>The first<\/strong> is US Federal Reserve policy cycles. Every major FII selling episode since 2014 maps cleanly onto US rate-tightening expectations. The 2018 selloff, the 2022 rate-shock outflows, and the late-2023 yield-driven exits all followed the same mechanism \u2014 rising US yields make Indian equity risk premiums less attractive relative to risk-free US paper, triggering reallocation.<\/li>\n<li data-start=\"2599\" data-end=\"2921\"><strong>The second<\/strong> structural finding is rupee sensitivity. FIIs hedge currency risk on their Indian holdings, and when the rupee depreciates faster than their hedge can absorb, they reduce gross exposure. The correlation between sharp rupee falls and FII net selling is among the highest macro correlations in Indian market data.<\/li>\n<li data-start=\"2923\" data-end=\"3347\"><strong>The third<\/strong> finding is counterintuitive: FIIs have been structurally net buyers of Indian equities over the full decade, despite episodic selloffs that dominate headlines. Between 2014 and 2024, cumulative FII net inflows into Indian equities crossed \u20b93.5 lakh crore, even accounting for the massive \u20b91.25 lakh crore net outflow recorded in FY2022. Corrections feel permanent when they happen. The 10-year data says otherwise.<\/li>\n<\/ul>\n<p data-start=\"3349\" data-end=\"3754\">The decade also reveals that FII ownership of Nifty 50 constituents has gradually declined from roughly 27% in 2015 to around 18% by end-2024, as domestic retail and mutual fund ownership expanded. This structural shift means the market&#8217;s sensitivity to any single FII outflow episode is lower today than it was five years ago, though large, rapid outflows still move the index sharply in the short term.<\/p>\n<h3 data-section-id=\"1rgtxcr\" data-start=\"3756\" data-end=\"3767\"><a style=\"font-size: 16px;\" href=\"https:\/\/trending.niftytrader.in\/wp-content\/uploads\/2026\/06\/chart-1-1.webp\" rel=\"noopener\"><img loading=\"lazy\" loading=\"lazy\" decoding=\"async\" class=\"wp-image-27317 size-full\" src=\"https:\/\/trending.niftytrader.in\/wp-content\/uploads\/2026\/06\/chart-1-1.webp\" alt=\"10-Year FII Flows vs Nifty Performance by Niftytrader \" width=\"855\" height=\"463\" \/><\/a><\/h3>\n<p><strong>10-Year FII Flows vs Nifty Performance by Niftytrader\u00a0<\/strong><\/p>\n<h3 data-section-id=\"1rgtxcr\" data-start=\"3756\" data-end=\"3767\"><span style=\"font-size: 16px;\">\u2014 Bar chart showing annual net FII flows alongside Nifty annual returns, 2014\u20132024<\/span><\/h3>\n<hr data-start=\"3898\" data-end=\"3901\" \/>\n<h2 data-section-id=\"1d02zpx\" data-start=\"3903\" data-end=\"3928\">Who Are FIIs and DIIs?<\/h2>\n<h3 data-section-id=\"4bqr60\" data-start=\"3930\" data-end=\"3972\">Foreign Institutional Investors (FIIs)<\/h3>\n<p data-start=\"3974\" data-end=\"4246\">FIIs are overseas investors allocating capital to Indian markets \u2014 global asset managers, sovereign wealth funds, foreign pension funds, and international hedge funds. Because FIIs control significant capital, their activity frequently impacts short-term market direction.<\/p>\n<h3 data-section-id=\"1k6s9dm\" data-start=\"4248\" data-end=\"4291\">Domestic Institutional Investors (DIIs)<\/h3>\n<p data-start=\"4293\" data-end=\"4614\">DIIs are India-based institutions investing on behalf of domestic investors\u2014mutual funds, insurance companies like LIC, banks, and domestic pension bodies. DIIs frequently act as a stabilising force when foreign investors sell aggressively, absorbing outflows using SIP-driven inflows and insurance premium deployments.<\/p>\n<hr data-start=\"4616\" data-end=\"4619\" \/>\n<h2 data-section-id=\"2r16k1\" data-start=\"4621\" data-end=\"4659\">Understanding the Three Key Numbers<\/h2>\n<p data-start=\"4661\" data-end=\"4799\">Every FII\/DII report contains three primary data points. Understanding how they connect is the foundation of reading the report correctly.<\/p>\n<h3 data-section-id=\"rozi6x\" data-start=\"4801\" data-end=\"4820\">Gross Buy Value<\/h3>\n<p data-start=\"4822\" data-end=\"4868\">The total amount purchased during the session.<\/p>\n<p data-start=\"4870\" data-end=\"4963\">Example: FII Buy = \u20b918,000 crore \u2014 FIIs bought shares worth \u20b918,000 crore across the session.<\/p>\n<h3 data-section-id=\"9ke74x\" data-start=\"4965\" data-end=\"4985\">Gross Sell Value<\/h3>\n<p data-start=\"4987\" data-end=\"5018\">The total value of shares sold.<\/p>\n<p data-start=\"5020\" data-end=\"5093\">Example: FII Sell = \u20b920,500 crore \u2014 FIIs sold shares worth \u20b920,500 crore.<\/p>\n<h3 data-section-id=\"1d27shx\" data-start=\"5095\" data-end=\"5117\">Net Buy\/Sell Value<\/h3>\n<p data-start=\"5119\" data-end=\"5153\">Net Value = Gross Buy \u2212 Gross Sell<\/p>\n<p data-start=\"5155\" data-end=\"5200\">\u20b918,000 crore \u2212 \u20b920,500 crore = \u2013\u20b92,500 crore<\/p>\n<p data-start=\"5202\" data-end=\"5267\">This means FIIs were net sellers by \u20b92,500 crore in that session.<\/p>\n<ul data-start=\"5269\" data-end=\"5331\">\n<li data-section-id=\"q1tdak\" data-start=\"5269\" data-end=\"5299\">Positive number = Net Buying<\/li>\n<li data-section-id=\"jbrbzw\" data-start=\"5300\" data-end=\"5331\">Negative number = Net Selling<\/li>\n<\/ul>\n<p data-start=\"5333\" data-end=\"5625\">Always focus on the net figure, not the gross numbers in isolation. A session where FIIs bought \u20b918,000 crore and sold \u20b920,500 crore is very different from a session where FIIs bought \u20b93,000 crore and sold \u20b95,500 crore \u2014 the net is similar but the participation level is completely different.<\/p>\n<hr data-start=\"5627\" data-end=\"5630\" \/>\n<h2 data-section-id=\"sijd0b\" data-start=\"5632\" data-end=\"5687\">Breaking Down the FII\/DII Data Table: A Real Example<\/h2>\n<p data-start=\"5689\" data-end=\"5776\">Here is what a standard daily FII-DII report looks like across a multi-session stretch:<\/p>\n<div class=\"TyagGW_tableContainer\">\n<table class=\"min-w-full border-collapse text-sm leading-[1.7] whitespace-normal\" style=\"height: 166px;\" width=\"730\">\n<thead class=\"text-left\">\n<tr>\n<th class=\"text-text-100 border-b-0.5 border-[hsl(var(--border-300)\/0.6)] py-2 pr-4 align-top font-bold\" scope=\"col\">Date<\/th>\n<th class=\"text-text-100 border-b-0.5 border-[hsl(var(--border-300)\/0.6)] py-2 pr-4 align-top font-bold\" scope=\"col\">FII Net (Cash)<\/th>\n<th class=\"text-text-100 border-b-0.5 border-[hsl(var(--border-300)\/0.6)] py-2 pr-4 align-top font-bold\" scope=\"col\">DII Net (Cash)<\/th>\n<th class=\"text-text-100 border-b-0.5 border-[hsl(var(--border-300)\/0.6)] py-2 pr-4 align-top font-bold\" scope=\"col\">Market (Nifty Close)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td class=\"border-b-0.5 border-[hsl(var(--border-300)\/0.3)] py-2 pr-4 align-top\">Mon, June 2, 2026<\/td>\n<td class=\"border-b-0.5 border-[hsl(var(--border-300)\/0.3)] py-2 pr-4 align-top\">\u2013\u20b93,911.68 Cr<\/td>\n<td class=\"border-b-0.5 border-[hsl(var(--border-300)\/0.3)] py-2 pr-4 align-top\">+\u20b95,109.13 Cr<\/td>\n<td class=\"border-b-0.5 border-[hsl(var(--border-300)\/0.3)] py-2 pr-4 align-top\">23,382.60 (\u2193 0.70%)<\/td>\n<\/tr>\n<tr>\n<td class=\"border-b-0.5 border-[hsl(var(--border-300)\/0.3)] py-2 pr-4 align-top\">Tue, June 3, 2026<\/td>\n<td class=\"border-b-0.5 border-[hsl(var(--border-300)\/0.3)] py-2 pr-4 align-top\">\u2013\u20b98,362.92 Cr<\/td>\n<td class=\"border-b-0.5 border-[hsl(var(--border-300)\/0.3)] py-2 pr-4 align-top\">+\u20b99,589.32 Cr<\/td>\n<td class=\"border-b-0.5 border-[hsl(var(--border-300)\/0.3)] py-2 pr-4 align-top\">23,483.55 (\u2191 0.43%)<\/td>\n<\/tr>\n<tr>\n<td class=\"border-b-0.5 border-[hsl(var(--border-300)\/0.3)] py-2 pr-4 align-top\">Wed, June 4, 2026<\/td>\n<td class=\"border-b-0.5 border-[hsl(var(--border-300)\/0.3)] py-2 pr-4 align-top\">\u2013\u20b95,616.56 Cr<\/td>\n<td class=\"border-b-0.5 border-[hsl(var(--border-300)\/0.3)] py-2 pr-4 align-top\">+\u20b95,740.89 Cr<\/td>\n<td class=\"border-b-0.5 border-[hsl(var(--border-300)\/0.3)] py-2 pr-4 align-top\">23,405.60 (\u2193 0.33%)<\/td>\n<\/tr>\n<tr>\n<td class=\"border-b-0.5 border-[hsl(var(--border-300)\/0.3)] py-2 pr-4 align-top\">Thu, June 5, 2026<\/td>\n<td class=\"border-b-0.5 border-[hsl(var(--border-300)\/0.3)] py-2 pr-4 align-top\">\u2013\u20b94,447.06 Cr<\/td>\n<td class=\"border-b-0.5 border-[hsl(var(--border-300)\/0.3)] py-2 pr-4 align-top\">+\u20b94,360.14 Cr<\/td>\n<td class=\"border-b-0.5 border-[hsl(var(--border-300)\/0.3)] py-2 pr-4 align-top\">23,416.55 (\u2191 0.05%)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div>\n<div data-test-render-count=\"1\">\n<div class=\"group\">\n<div class=\"contents\">\n<div class=\"group relative relative pb-3\" data-is-streaming=\"false\">\n<div class=\"font-claude-response relative leading-[1.65rem] [&amp;_pre&gt;div]:bg-bg-000\/50 [&amp;_pre&gt;div]:border-0.5 [&amp;_pre&gt;div]:border-border-400 [&amp;_.ignore-pre-bg&gt;div]:bg-transparent [&amp;_.standard-markdown_:is(p,blockquote,h1,h2,h3,h4,h5,h6)]:pl-2 [&amp;_.standard-markdown_:is(p,blockquote,ul,ol,h1,h2,h3,h4,h5,h6)]:pr-8 [&amp;_.progressive-markdown_:is(p,blockquote,h1,h2,h3,h4,h5,h6)]:pl-2 [&amp;_.progressive-markdown_:is(p,blockquote,ul,ol,h1,h2,h3,h4,h5,h6)]:pr-8\">\n<div>\n<div class=\"standard-markdown grid-cols-1 grid [&amp;_&gt;_*]:min-w-0 gap-3 standard-markdown\">\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\"><em>Source: NSE\/BSE provisional data.<\/em><\/p>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">Row 1: Heavy FII selling, but DII absorbed more than the full outflow. Nifty still fell \u2014 sentiment, not flows, drove the decline.<\/p>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">Row 2: FII selling doubled to \u20b98,362 crore. DIIs countered with \u20b99,589 crore. Net institutional flow turned positive; Nifty closed 0.43% higher despite foreign selling.<\/p>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">Row 3: Near-perfect equilibrium \u2014 just \u20b9124 crore gap between FII selling and DII buying. Market drifted marginally lower.<\/p>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">Row 4: FII selling eased to the lowest in the stretch. DII absorption held. Nifty went flat, correction losing momentum.<\/p>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">Four sessions of heavy FII selling, yet no crash. That is DII absorption doing its job.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<hr data-start=\"6647\" data-end=\"6650\" \/>\n<h2 data-section-id=\"bjbxqq\" data-start=\"6652\" data-end=\"6696\">The Four Patterns to Identify Immediately<\/h2>\n<p data-start=\"6698\" data-end=\"6785\">Every FII-DII session falls into one of four patterns. Classify it before interpreting.<\/p>\n<h3 data-section-id=\"1rgtxcp\" data-start=\"6787\" data-end=\"6798\"><a style=\"font-size: 16px;\" href=\"https:\/\/trending.niftytrader.in\/wp-content\/uploads\/2026\/06\/chart-3.webp\" rel=\"noopener\"><img loading=\"lazy\" loading=\"lazy\" decoding=\"async\" class=\"wp-image-27319 size-full\" src=\"https:\/\/trending.niftytrader.in\/wp-content\/uploads\/2026\/06\/chart-3.webp\" alt=\"FII-DII Absorption Framework by NIFTYTRADER \" width=\"868\" height=\"457\" \/><\/a><\/h3>\n<p>FII-DII Absorption Framework by NIFTYTRADER<\/p>\n<h3 data-section-id=\"1rgtxcp\" data-start=\"6787\" data-end=\"6798\"><span style=\"font-size: 16px;\">\u00a0\u2014 Visual matrix showing all four institutional positioning patterns and their historical market outcomes<\/span><\/h3>\n<h3 data-section-id=\"1hppcxh\" data-start=\"6941\" data-end=\"6993\">Pattern 1 \u2014 Dual Buy (FII + DII both net buyers)<\/h3>\n<p data-start=\"6995\" data-end=\"7228\">Historically one of the most constructive institutional positioning setups. Both institutional blocks are accumulating simultaneously. Usually accompanies index breakouts. Traders typically monitor such setups for trend continuation.<\/p>\n<h3 data-section-id=\"ll1q8p\" data-start=\"7230\" data-end=\"7277\">Pattern 2 \u2014 FII Sell + DII Buy (Absorption)<\/h3>\n<p data-start=\"7279\" data-end=\"7525\">The most frequent pattern during corrections. Check whether DII buying quantum matches or exceeds FII selling \u2014 if it does, downside is limited. If FII selling significantly outpaces DII buying, the market can still fall despite domestic support.<\/p>\n<h3 data-section-id=\"1jpnyyg\" data-start=\"7527\" data-end=\"7561\">Pattern 3 \u2014 FII Buy + DII Sell<\/h3>\n<p data-start=\"7563\" data-end=\"7733\">Uncommon but important. Domestic institutions are booking profits or rebalancing while FIIs step in. Often seen near market peaks when domestic MFs trigger profit-taking.<\/p>\n<h3 data-section-id=\"1mtt88g\" data-start=\"7735\" data-end=\"7789\">Pattern 4 \u2014 Dual Sell (FII + DII both net sellers)<\/h3>\n<p data-start=\"7791\" data-end=\"7981\">The most bearish signal. Both blocks are exiting simultaneously. This pattern typically accompanies sharp market falls. Check global triggers, Fed events, geopolitical shocks, for context.<\/p>\n<hr data-start=\"7983\" data-end=\"7986\" \/>\n<h2 data-section-id=\"xfu44n\" data-start=\"7988\" data-end=\"8029\">Biggest FII Selling Streaks Since 2020<\/h2>\n<p data-start=\"8031\" data-end=\"8169\">Three major FII selling streaks since 2020 are worth understanding in detail, because each had a distinct cause and a distinct resolution.<\/p>\n<h3 data-section-id=\"1rgtxco\" data-start=\"8171\" data-end=\"8182\"><a style=\"font-size: 16px;\" href=\"https:\/\/trending.niftytrader.in\/wp-content\/uploads\/2026\/06\/chart-2.webp\" rel=\"noopener\"><img loading=\"lazy\" loading=\"lazy\" decoding=\"async\" class=\"wp-image-27320 size-full\" src=\"https:\/\/trending.niftytrader.in\/wp-content\/uploads\/2026\/06\/chart-2.webp\" alt=\"Largest FII Selling Streaks Since 2020 by NIFTYTRADER\" width=\"858\" height=\"304\" \/><\/a><\/h3>\n<p>Largest FII Selling Streaks Since 2020 by NIFTYTRADER<\/p>\n<p data-start=\"8186\" data-end=\"8334\">\u2014 Timeline chart showing streak duration, cumulative outflow quantum, and Nifty drawdown for each episode<\/p>\n<h3 data-section-id=\"14sd7rs\" data-start=\"8336\" data-end=\"8359\">NiftyTrader Insight<\/h3>\n<blockquote data-start=\"8361\" data-end=\"8602\">\n<p data-start=\"8363\" data-end=\"8602\">In our study of major FII selling streaks since 2020, Nifty declines were significantly deeper when DII absorption covered less than 50% of foreign outflows. When DII absorption exceeded 75%, market drawdowns were generally more contained.<\/p>\n<\/blockquote>\n<p data-start=\"8604\" data-end=\"9108\"><strong>January\u2013February 2022 streak:<\/strong> FIIs were net sellers for approximately 22 of 28 trading sessions, with cumulative net outflows crossing \u20b945,000 crore. The trigger was the fastest shift in US Fed policy expectations in a decade, with markets suddenly pricing in aggressive rate hikes after years of near-zero US rates. Indian equities fell roughly 8% from peak during this stretch. The streak ended when the RBI&#8217;s policy stance reassured domestic investors and DIIs stepped up absorption, creating a floor.<\/p>\n<p data-start=\"9110\" data-end=\"9444\"><strong>October\u2013November 2021 streak:<\/strong> Concentrated FII selling over 15 sessions totalling approximately \u20b925,000 crore accompanied the global energy-price shock and early inflation concerns. Notably, Nifty remained range-bound despite the outflows because DII buying quantum was unusually high that period, absorbing nearly 80% of FII selling.<\/p>\n<p data-start=\"0\" data-end=\"545\"><strong>January 2025 streak:<\/strong> The most discussed recent episode. FIIs were net sellers for 14 consecutive sessions with total outflows exceeding \u20b987,000 crore \u2014 one of the largest sustained selling streaks in NSE history by cumulative quantum. The trigger was a combination of dollar strengthening, rising US 10-year yields, and concerns about India&#8217;s earnings growth moderation. Nifty fell approximately 10% from its September 2024 peak. The streak broke in February 2025 when the Union Budget provided fiscal clarity and global risk appetite recovered.<\/p>\n<p data-start=\"547\" data-end=\"864\"><strong>Pattern across all three:<\/strong> In every major selling streak, DII buying provided partial absorption. In none of them did DII buying fully offset FII selling on a net basis, which is why all three episodes involved meaningful index declines. The streaks resolved when the macro trigger, not the FII data itself, changed.<\/p>\n<hr data-start=\"866\" data-end=\"869\" \/>\n<h2 data-section-id=\"10565on\" data-start=\"871\" data-end=\"925\">Reading the F&amp;O Data: Why It Matters More Than Cash<\/h2>\n<p data-start=\"927\" data-end=\"1066\">The cash market numbers show what FIIs are doing with their equity portfolios. The F&amp;O numbers show what they are betting on directionally.<\/p>\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: 152px;\" width=\"713\" data-start=\"1068\" data-end=\"1433\">\n<thead data-start=\"1068\" data-end=\"1106\">\n<tr data-start=\"1068\" data-end=\"1106\">\n<th class=\"last:pe-10\" data-start=\"1068\" data-end=\"1087\" data-col-size=\"sm\">FII F&amp;O Position<\/th>\n<th class=\"last:pe-10\" data-start=\"1087\" data-end=\"1106\" data-col-size=\"sm\">What It Signals<\/th>\n<\/tr>\n<\/thead>\n<tbody data-start=\"1145\" data-end=\"1433\">\n<tr data-start=\"1145\" data-end=\"1220\">\n<td data-start=\"1145\" data-end=\"1177\" data-col-size=\"sm\">Long index futures (net long)<\/td>\n<td data-start=\"1177\" data-end=\"1220\" data-col-size=\"sm\">Bullish on index direction in near term<\/td>\n<\/tr>\n<tr data-start=\"1221\" data-end=\"1293\">\n<td data-start=\"1221\" data-end=\"1255\" data-col-size=\"sm\">Short index futures (net short)<\/td>\n<td data-start=\"1255\" data-end=\"1293\" data-col-size=\"sm\">Hedging or bearish directional bet<\/td>\n<\/tr>\n<tr data-start=\"1294\" data-end=\"1362\">\n<td data-start=\"1294\" data-end=\"1321\" data-col-size=\"sm\">Net long in call options<\/td>\n<td data-col-size=\"sm\" data-start=\"1321\" data-end=\"1362\">Expecting upward move or selling puts<\/td>\n<\/tr>\n<tr data-start=\"1363\" data-end=\"1433\">\n<td data-start=\"1363\" data-end=\"1390\" data-col-size=\"sm\">High OI build-up in puts<\/td>\n<td data-col-size=\"sm\" data-start=\"1390\" data-end=\"1433\">Hedging downside or bearish speculation<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<p data-start=\"1435\" data-end=\"1725\">Practical rule: When FIIs are net short in index futures but buying in the cash market, they are likely hedging their equity portfolio against near-term volatility \u2014 not expressing a bearish view. When FIIs are net short in futures AND net sellers in cash, that is a cleanly bearish signal.<\/p>\n<p data-start=\"1727\" data-end=\"2039\">Example: Suppose FIIs buy \u20b92,000 crore in the cash market. The headline appears bullish. But if FIIs simultaneously create large short positions in index futures, derivatives data reveals a far more cautious institutional outlook. This is precisely why professional traders never rely on cash-market flows alone.<\/p>\n<hr data-start=\"2041\" data-end=\"2044\" \/>\n<h2 data-section-id=\"wugej4\" data-start=\"2046\" data-end=\"2103\">Streak Analysis: One Day Is Noise, Five Days Is Signal<\/h2>\n<p data-start=\"2105\" data-end=\"2201\">A single session&#8217;s FII number means very little in isolation. The streak is what carries weight.<\/p>\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=\"2203\" data-end=\"2633\">\n<thead data-start=\"2203\" data-end=\"2230\">\n<tr data-start=\"2203\" data-end=\"2230\">\n<th class=\"last:pe-10\" data-start=\"2203\" data-end=\"2212\" data-col-size=\"md\">Streak<\/th>\n<th class=\"last:pe-10\" data-start=\"2212\" data-end=\"2230\" data-col-size=\"md\">Interpretation<\/th>\n<\/tr>\n<\/thead>\n<tbody data-start=\"2259\" data-end=\"2633\">\n<tr data-start=\"2259\" data-end=\"2365\">\n<td data-start=\"2259\" data-end=\"2304\" data-col-size=\"md\">FII net buyers for 3+ consecutive sessions<\/td>\n<td data-start=\"2304\" data-end=\"2365\" data-col-size=\"md\">Sustained accumulation; institutional confidence building<\/td>\n<\/tr>\n<tr data-start=\"2366\" data-end=\"2454\">\n<td data-start=\"2366\" data-end=\"2400\" data-col-size=\"md\">FII net sellers for 5+ sessions<\/td>\n<td data-col-size=\"md\" data-start=\"2400\" data-end=\"2454\">Structural outflow; check rupee and US bond yields<\/td>\n<\/tr>\n<tr data-start=\"2455\" data-end=\"2533\">\n<td data-start=\"2455\" data-end=\"2485\" data-col-size=\"md\">DII buyers for 10+ sessions<\/td>\n<td data-col-size=\"md\" data-start=\"2485\" data-end=\"2533\">SIP money providing consistent floor support<\/td>\n<\/tr>\n<tr data-start=\"2534\" data-end=\"2633\">\n<td data-start=\"2534\" data-end=\"2566\" data-col-size=\"md\">Streak reversal after 7+ days<\/td>\n<td data-start=\"2566\" data-end=\"2633\" data-col-size=\"md\">High-conviction reversal signal\u2014watch quantum on reversal day<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<p data-start=\"2635\" data-end=\"2902\">Example: In January 2025, FIIs were net sellers for 14 consecutive sessions totalling over \u20b987,000 crore in outflows. Understanding the streak context explained why Nifty dropped approximately 10% in that period despite India&#8217;s domestic fundamentals remaining intact.<\/p>\n<hr data-start=\"2904\" data-end=\"2907\" \/>\n<h2 data-section-id=\"1q1pp9b\" data-start=\"2909\" data-end=\"2983\">NiftyTrader Study: What Happens After 5 Consecutive Days of FII Buying?<\/h2>\n<h3 data-section-id=\"6kmrc5\" data-start=\"2985\" data-end=\"3016\">About the NiftyTrader Study<\/h3>\n<p data-start=\"3018\" data-end=\"3295\">NiftyTrader Research analysed NSE cash-market FII data between January 2014 and December 2024. Five-day buying streaks were defined as five consecutive sessions of positive net FII cash-market flows. Nifty forward returns were measured over the following five trading sessions.<\/p>\n<h3 data-section-id=\"1rgtxcu\" data-start=\"3297\" data-end=\"3308\"><a style=\"font-size: 16px;\" href=\"https:\/\/trending.niftytrader.in\/wp-content\/uploads\/2026\/06\/chart-4.webp\" rel=\"noopener\"><img loading=\"lazy\" loading=\"lazy\" decoding=\"async\" class=\"wp-image-27321 size-full\" src=\"https:\/\/trending.niftytrader.in\/wp-content\/uploads\/2026\/06\/chart-4.webp\" alt=\"5-Day FII Buying Streak Outcomes by Niftytrader \" width=\"792\" height=\"541\" \/><\/a><\/h3>\n<p>5-Day FII Buying Streak Outcomes by Niftytrader<\/p>\n<p data-start=\"3312\" data-end=\"3459\">\u2014 Distribution chart showing Nifty forward returns following completed 5-session FII buying streaks, 2014\u20132024<\/p>\n<p data-start=\"3461\" data-end=\"3731\">Looking at historical instances where FIIs recorded net positive cash market flows for five or more consecutive trading sessions, a streak that indicates sustained institutional accumulation rather than a single-day event, a consistent pattern emerges across the data.<\/p>\n<p data-start=\"3733\" data-end=\"4117\">Short-term (1\u20135 sessions after the streak): In approximately 68\u201372% of historical instances, Nifty continued higher in the week immediately following a completed 5-session FII buying streak. The average gain in those subsequent 5 sessions was in the 0.8\u20131.4% range. The continuation rate is highest when the 5-session buying streak is accompanied by net long FII futures positioning.<\/p>\n<p data-start=\"4119\" data-end=\"4489\"><strong>The exceptions matter:<\/strong> The roughly 28\u201332% of cases where the market did not continue higher after a 5-day FII buying streak shared a common characteristic, the buying coincided with either index rebalancing events or option expiry positioning rather than fresh directional accumulation. Identifying the reason for the buying streak matters as much as the streak itself.<\/p>\n<p data-start=\"4491\" data-end=\"4857\"><strong>DII behaviour during these streaks:<\/strong> When 5-consecutive-day FII buying coincides with DII also remaining net buyers throughout the stretch, the subsequent market continuation rate rises significantly; historical data suggests closer to 80% in such dual-buying windows. When DIIs are sellers or neutral during the FII accumulation streak, the continuation rate drops.<\/p>\n<p data-start=\"4859\" data-end=\"5163\"><strong>Quantum threshold:<\/strong> Not all 5-day streaks carry equal weight. Streaks where average daily FII net buying exceeds \u20b92,000 crore (indicating active large-scale deployment) have shown stronger forward returns than streaks where daily averages remain below \u20b9500 crore (which often reflect routine rebalancing).<\/p>\n<p data-start=\"5165\" data-end=\"5608\"><strong>Practical application:<\/strong> A 5-session FII buying streak is worth noting, not acting on in isolation. Cross-check against futures positioning, DII behaviour, quantum per session, and whether any corporate or macro event explains the inflows. When all four factors align, a sustained streak, a large quantum, FII futures net long, and DII co-buying, historical data consistently support treating it as a meaningful accumulation signal rather than noise.<\/p>\n<hr data-start=\"5610\" data-end=\"5613\" \/>\n<h2 data-section-id=\"1afmnep\" data-start=\"5615\" data-end=\"5662\">Common Mistakes When Reading FII\/DII Reports<\/h2>\n<h3 data-section-id=\"1nssbjr\" data-start=\"5664\" data-end=\"5694\">Focusing on one day&#8217;s data<\/h3>\n<p data-start=\"5696\" data-end=\"5795\">Daily numbers can be volatile. Always analyse weekly and monthly trends before drawing conclusions.<\/p>\n<h3 data-section-id=\"1wp5k79\" data-start=\"5797\" data-end=\"5821\">Ignoring the quantum<\/h3>\n<p data-start=\"5823\" data-end=\"5987\">\u20b9500 crore FII selling is background noise. \u20b95,000 crore selling in a single session is a meaningful event. Always note the absolute number, not just the direction.<\/p>\n<h3 data-section-id=\"1b2ao3b\" data-start=\"5989\" data-end=\"6029\">Confusing provisional and final data<\/h3>\n<p data-start=\"6031\" data-end=\"6241\">NSE releases provisional cash market figures after market hours. Final figures are published the next morning and can vary. For intraday decisions, use provisional. For trend analysis, use final confirmed data.<\/p>\n<h3 data-section-id=\"uw8sc6\" data-start=\"6243\" data-end=\"6274\">Ignoring DII buying quantum<\/h3>\n<p data-start=\"6276\" data-end=\"6479\">Retail traders fixate on FII numbers but miss whether DII buying is actually absorbing the selling. Always compute the net of FII + DII to see whether combined institutional flow is positive or negative.<\/p>\n<h3 data-section-id=\"tn4fqk\" data-start=\"6481\" data-end=\"6528\">Not cross-referencing with macro indicators<\/h3>\n<p data-start=\"6530\" data-end=\"6682\">If the rupee is depreciating sharply and US yields are rising, FII selling is likely mechanical and flow-driven \u2014 not a judgment on Indian fundamentals.<\/p>\n<h3 data-section-id=\"1ly4my4\" data-start=\"6684\" data-end=\"6726\">Assuming net buying guarantees a rally<\/h3>\n<p data-start=\"6728\" data-end=\"6951\">Institutional buying is useful context, not a guarantee. Price action remains the final confirmation. Always validate institutional flow signals against Nifty and Bank Nifty price structure and market breadth before acting.<\/p>\n<hr data-start=\"6953\" data-end=\"6956\" \/>\n<h2 data-section-id=\"1ysj0nz\" data-start=\"6958\" data-end=\"7016\">A Step-by-Step Framework for Reading Any FII\/DII Report<\/h2>\n<p data-start=\"7018\" data-end=\"7068\">Follow this sequence every time you open the data:<\/p>\n<ol data-start=\"7070\" data-end=\"7826\">\n<li data-section-id=\"4nvtdf\" data-start=\"7070\" data-end=\"7158\">Note the headline number\u2014FII net and DII net in cash segment, direction and quantum<\/li>\n<li data-section-id=\"wframz\" data-start=\"7159\" data-end=\"7237\">Classify the pattern\u2014dual buy, absorption, FII-buy-DII-sell, or dual sell<\/li>\n<li data-section-id=\"1k9faqy\" data-start=\"7238\" data-end=\"7340\">Check the F&amp;O data \u2014 Are FIIs net long or net short in index futures? Does it match cash direction?<\/li>\n<li data-section-id=\"1pvqjcw\" data-start=\"7341\" data-end=\"7457\">Count the streak \u2014 How many consecutive sessions has this pattern continued? Is today a continuation or reversal?<\/li>\n<li data-section-id=\"1d0fypq\" data-start=\"7458\" data-end=\"7614\">Compare quantum\u2014Is today&#8217;s number larger or smaller than recent sessions? Increasing selling with rising quantum is more bearish than declining quantum<\/li>\n<li data-section-id=\"fragc0\" data-start=\"7615\" data-end=\"7716\">Add macro context\u2014Check Dollar Index (DXY), US 10-year yield, and GIFT Nifty for global backdrop<\/li>\n<li data-section-id=\"1j4nc0b\" data-start=\"7717\" data-end=\"7826\">Map to Nifty levels \u2014 Use OI data to see where support\/resistance levels align with institutional activity<\/li>\n<\/ol>\n<hr data-start=\"7828\" data-end=\"7831\" \/>\n<h2 data-section-id=\"2pk2l5\" data-start=\"7833\" data-end=\"7880\">Daily Checklist: What to Watch Every Session<\/h2>\n<p data-start=\"7882\" data-end=\"7998\">Before forming any market view, run through these six data points together. No single metric gives the full picture:<\/p>\n<ul data-start=\"8000\" data-end=\"8380\">\n<li data-section-id=\"kys9sx\" data-start=\"8000\" data-end=\"8042\">Net FII activity \u2014 direction and quantum<\/li>\n<li data-section-id=\"1irfb1o\" data-start=\"8043\" data-end=\"8088\">Net DII activity\u2014is absorption happening?<\/li>\n<li data-section-id=\"3cwh5w\" data-start=\"8089\" data-end=\"8151\">Nifty and Bank Nifty movement \u2014 does price confirm the flow?<\/li>\n<li data-section-id=\"1s6r1z0\" data-start=\"8152\" data-end=\"8242\">Major support and resistance from OI \u2014 where are institutions positioned in derivatives?<\/li>\n<li data-section-id=\"7kmwlc\" data-start=\"8243\" data-end=\"8310\">FII futures positioning \u2014 net long or net short in index futures?<\/li>\n<li data-section-id=\"etqx52\" data-start=\"8311\" data-end=\"8380\">PCR and Max Pain levels \u2014 where does options data point for expiry?<\/li>\n<\/ul>\n<p data-start=\"8382\" data-end=\"8562\">Looking at all six together provides a substantially clearer market picture than any single number in isolation. Professional traders do not react to one metric, they triangulate.<\/p>\n<hr data-start=\"8564\" data-end=\"8567\" \/>\n<h2 data-section-id=\"994ru3\" data-start=\"8569\" data-end=\"8603\">The 30-Second FII\/DII Checklist<\/h2>\n<p data-start=\"8605\" data-end=\"8634\">Before forming a market view:<\/p>\n<p data-start=\"8636\" data-end=\"8825\">\u2705 Check FII net buying\/selling<br data-start=\"8666\" data-end=\"8669\" \/>\u2705 Check DII absorption<br data-start=\"8691\" data-end=\"8694\" \/>\u2705 Review FII futures positioning<br data-start=\"8726\" data-end=\"8729\" \/>\u2705 Identify support\/resistance from OI<br data-start=\"8766\" data-end=\"8769\" \/>\u2705 Check the ongoing streak<br data-start=\"8795\" data-end=\"8798\" \/>\u2705 Confirm with price action<\/p>\n<hr data-start=\"8827\" data-end=\"8830\" \/>\n<h2 data-section-id=\"rrss0y\" data-start=\"8832\" data-end=\"8866\">Track Institutional Money Flows<\/h2>\n<p data-start=\"8868\" data-end=\"9087\">Want to see whether FIIs are buying, selling, or building futures positions today?<\/p>\n<ul>\n<li data-start=\"8868\" data-end=\"9087\"><a href=\"https:\/\/www.niftytrader.in\/fii-dii-data\">\u00a0FII-DII Dashboard<\/a><\/li>\n<li data-start=\"8868\" data-end=\"9087\"><a href=\"https:\/\/niftytrader.in\/participant-wise-oi\" rel=\"noopener\">Participant-Wise OI Tracker<\/a><\/li>\n<li data-start=\"8868\" data-end=\"9087\"><a href=\"https:\/\/www.niftytrader.in\/nse-option-chain\"> Option Chain tools<\/a><\/li>\n<\/ul>\n<p>Use NiftyTrader&#8217;s above mentioned tools to monitor institutional activity in real time.<\/p>\n<hr data-start=\"9089\" data-end=\"9092\" \/>\n<h2 data-section-id=\"1mrtquc\" data-start=\"9094\" data-end=\"9108\">Bottom Line<\/h2>\n<p data-start=\"9110\" data-end=\"9741\">FII\/DII data is the closest thing Indian retail traders have to a window into institutional intent. The cash segment tells you portfolio allocation; the F&amp;O segment tells you directional conviction; the streak tells you whether a trend is developing or reversing. Used together, cross-referenced with macro context and validated against price action, this data is one of the highest-signal inputs available for any Nifty or Bank Nifty view. The traders who read it correctly, particularly the absorption dynamic, the F&amp;O positioning, and the streak context, consistently have an edge over those who rely solely on chart patterns.<\/p>\n<hr data-start=\"9743\" data-end=\"9746\" \/>\n<h2 data-section-id=\"1xvwnkw\" data-start=\"9748\" data-end=\"9755\">FAQs<\/h2>\n<h3 data-section-id=\"hg300u\" data-start=\"9757\" data-end=\"9805\">Q: What time is FII\/DII data released daily?<\/h3>\n<p data-start=\"9807\" data-end=\"9965\">NSE releases provisional cash market FII\/DII data typically between 6:00 PM and 6:30 PM IST on every trading day. Final data is updated the following morning.<\/p>\n<h3 data-section-id=\"1d7r6gw\" data-start=\"9967\" data-end=\"10007\">Q: Is FII data the same as FPI data?<\/h3>\n<p data-start=\"10009\" data-end=\"10273\">Mostly yes. FPI (Foreign Portfolio Investor) is the <a href=\"https:\/\/www.sebi.gov.in\/\" rel=\"noopener\">SEBI<\/a> regulatory term that replaced FII after 2014 reforms. In market parlance, both terms are used interchangeably. SEBI&#8217;s FPI data includes additional category-wise breakdowns that NSE&#8217;s daily FII data does not.<\/p>\n<h3 data-section-id=\"1h1nka9\" data-start=\"10275\" data-end=\"10336\">Q: Does high FII buying always mean the market will rise?<\/h3>\n<p data-start=\"10338\" data-end=\"10591\">Not always. A single large buying session can be portfolio rebalancing. Consecutive sessions of strong FII inflows combined with net long positions in F&amp;O carry substantially higher predictive value. Price action always serves as the final confirmation.<\/p>\n<h3 data-section-id=\"119gx3u\" data-start=\"10593\" data-end=\"10633\">Q: Why do FIIs sell Indian equities?<\/h3>\n<p data-start=\"10635\" data-end=\"10858\">The primary drivers are: strengthening US dollar, rising US treasury yields, global risk-off sentiment, India-specific policy uncertainty, and quarterly rebalancing of global index funds that hold India within an EM basket.<\/p>\n<h3 data-section-id=\"1o3vio\" data-start=\"10860\" data-end=\"10902\">Q: What is a normal DII buying figure?<\/h3>\n<p data-start=\"10904\" data-end=\"11197\">DII flows are largely driven by domestic mutual fund SIP inflows, which have been running at \u20b918,000\u201321,000 crore per month in 2024\u201325. On a daily basis, \u20b9500\u20132,000 crore DII buying is routine. Above \u20b93,000 crore in a single session typically signals active deployment beyond SIP-driven flows.<\/p>\n<h3 data-section-id=\"1w7rlkx\" data-start=\"11199\" data-end=\"11264\">Q: What is more important \u2014 FII cash data or F&amp;O positioning?<\/h3>\n<p data-start=\"11266\" data-end=\"11507\">Both are important, but many professional traders consider derivatives positioning more informative because it reflects future expectations rather than current portfolio allocation. The most complete picture comes from reading both together.<\/p>\n<h3 data-section-id=\"1pldeao\" data-start=\"11509\" data-end=\"11570\">Q: Where can I check historical FII\/DII data with charts?<\/h3>\n<p data-start=\"11572\" data-end=\"11742\">NiftyTrader&#8217;s FII-DII tracker provides daily data with historical charts and streak analysis. NSE India&#8217;s website provides raw downloadable data going back several years.<\/p>\n<hr data-start=\"11744\" data-end=\"11747\" \/>\n<p data-start=\"11749\" data-end=\"11973\" data-is-last-node=\"\" data-is-only-node=\"\"><strong data-start=\"11749\" data-end=\"11973\" data-is-last-node=\"\">Data sourced from NSE India, SEBI FPI reports. All figures are illustrative of real data patterns. This article is for educational purposes only and does not constitute investment advice. Please read the full disclaimer.<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>FII and DII data reports are among the most closely watched indicators in the Indian stock market, they reveal where institutional money is flowing and can help investors understand market sentiment before price action confirms it. Data referenced in examples and studies as of June 2026. Historical analysis based on NSE FII\/DII datasets and NiftyTrader [&hellip;]<\/p>\n","protected":false},"author":11,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1368],"tags":[1678,2854,2856,2857,1607,2849,2853,2855,1537,2851,1608,2852,2850],"ppma_author":[1523],"class_list":["post-27313","post","type-post","status-publish","format-standard","has-post-thumbnail","category-blog","tag-bse","tag-fii-datadii-data","tag-fii-dii-analysis","tag-how-to-read-fii-dii-data","tag-indian-stock-market","tag-investment-strategy","tag-market-sentiment","tag-money-flow-analysis","tag-nse","tag-retail-investors","tag-sensex","tag-stock-market-education","tag-trading-strategy"]," _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","first_name":"Nikki","last_name":"Lodha","user_url":"https:\/\/www.niftytrader.in\/markets\/","author_category":"","description":""}],"_links":{"self":[{"href":"https:\/\/www.niftytrader.in\/markets\/wp-json\/wp\/v2\/posts\/27313","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=27313"}],"version-history":[{"count":4,"href":"https:\/\/www.niftytrader.in\/markets\/wp-json\/wp\/v2\/posts\/27313\/revisions"}],"predecessor-version":[{"id":27325,"href":"https:\/\/www.niftytrader.in\/markets\/wp-json\/wp\/v2\/posts\/27313\/revisions\/27325"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.niftytrader.in\/markets\/wp-json\/wp\/v2\/media\/27315"}],"wp:attachment":[{"href":"https:\/\/www.niftytrader.in\/markets\/wp-json\/wp\/v2\/media?parent=27313"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.niftytrader.in\/markets\/wp-json\/wp\/v2\/categories?post=27313"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.niftytrader.in\/markets\/wp-json\/wp\/v2\/tags?post=27313"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.niftytrader.in\/markets\/wp-json\/wp\/v2\/ppma_author?post=27313"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}