{"id":2150,"date":"2025-01-16T07:18:03","date_gmt":"2025-01-16T07:18:03","guid":{"rendered":"https:\/\/streetgains.in\/insights\/?p=2150"},"modified":"2025-03-05T08:47:17","modified_gmt":"2025-03-05T08:47:17","slug":"how-to-calculate-beta-of-a-stock","status":"publish","type":"post","link":"https:\/\/streetgains.in\/insights\/how-to-calculate-beta-of-a-stock\/","title":{"rendered":"How to Calculate Beta of a Stock"},"content":{"rendered":"\n<p>Beta is a key metric in <a href=\"https:\/\/www.streetgains.in\/services\/stock-options\">stock trading<\/a>, used to measure a stock\u2019s volatility relative to the overall market. It helps investors understand how sensitive a stock is to market movements, making it an essential tool for risk assessment and <a href=\"https:\/\/streetgains.in\/insights\/building-a-stock-market-portfolio-for-25-cagr-earnings\/\">portfolio construction<\/a>.<\/p>\n\n\n\n<p>In this guide, we\u2019ll explore the concept of beta, its significance, and the step-by-step process to calculate it. Whether you\u2019re managing risk or diversifying your portfolio, mastering beta is crucial for making informed investment decisions.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What is Beta of a Stock?<\/strong><\/h2>\n\n\n\n<p>Beta is a measure of a stock\u2019s volatility relative to the overall market. It indicates how much a stock\u2019s price is expected to move in response to market changes, helping investors assess its risk level.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Understanding Beta Values<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Beta = 1<\/strong>:<br>The stock\u2019s price moves in line with the market. If the market rises by 1%, the stock is expected to rise by 1%.<\/li>\n\n\n\n<li><strong>Beta &gt; 1<\/strong>:<br>The stock is more volatile than the market. A beta of 1.5 means the stock is likely to move 1.5% for every 1% market change.<\/li>\n\n\n\n<li><strong>Beta &lt; 1<\/strong>:<br>The stock is less volatile than the market. Defensive stocks like utilities often have low beta values.<\/li>\n\n\n\n<li><strong>Beta &lt; 0<\/strong>:<br>Indicates an inverse relationship with the market. For example, gold-related stocks may rise when the market falls.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Why Beta Matters<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Helps investors gauge the <strong>risk<\/strong> associated with a stock.<\/li>\n\n\n\n<li>Aids in creating a <strong>balanced portfolio<\/strong> by combining high-beta and low-beta stocks.<\/li>\n\n\n\n<li>Serves as a core component in the <strong>Capital Asset Pricing Model (CAPM)<\/strong> to calculate expected returns.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Why Is Beta Important for Investors?<\/strong><\/h2>\n\n\n\n<p>Beta is a critical tool for assessing risk and shaping <a href=\"https:\/\/streetgains.in\/insights\/the-benefits-of-long-term-investment-strategies\/\">investment strategies<\/a>. Here\u2019s why it\u2019s important:<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>1. Assess Risk<\/strong><\/h4>\n\n\n\n<p>Beta quantifies a stock\u2019s sensitivity to market movements, helping investors understand its volatility:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>High-beta stocks (&gt;1) are riskier but offer higher potential returns during bullish markets.<\/li>\n\n\n\n<li>Low-beta stocks (&lt;1) provide stability and are suitable for conservative investors.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>2. Portfolio Diversification<\/strong><\/h4>\n\n\n\n<p>Beta helps create a diversified portfolio by balancing high-risk, high-return stocks with low-risk, stable options. This reduces overall portfolio volatility.<\/p>\n\n\n\n<p><strong>Example<\/strong>: Combining a high-beta tech stock with a low-beta utility stock can stabilise returns during market downturns.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>3. Pricing Models and Expected Returns<\/strong><\/h4>\n\n\n\n<p>Beta is a key component of the Capital Asset Pricing Model (CAPM), which calculates a stock\u2019s expected return based on its risk:<br><strong>Expected Return = Risk-Free Rate + Beta \u00d7 (Market Return &#8211; Risk-Free Rate)<\/strong><strong><br><\/strong>This allows investors to estimate whether a stock\u2019s return justifies its risk.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>4. Aligning with Risk Tolerance<\/strong><\/h4>\n\n\n\n<p>Beta enables investors to select stocks that match their risk preferences:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Aggressive Investors<\/strong>: High-beta stocks for maximum growth potential.<\/li>\n\n\n\n<li><strong>Conservative Investors<\/strong>: Low-beta stocks to preserve capital and minimise risk.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Data Points Required to Calculate Beta<\/strong><\/h2>\n\n\n\n<p>To calculate the beta of a stock accurately, you need the following data points:<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>1. Historical Stock Prices<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Collect the stock\u2019s daily, weekly, or monthly closing prices over a specific period (e.g., 1\u20133 years).<\/li>\n\n\n\n<li>Longer time frames generally provide more reliable results but may smooth out short-term changes.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>2. Market Index Prices<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Gather corresponding closing prices for a benchmark index like the Nifty 50 (India) or S&amp;P 500 (US).<\/li>\n\n\n\n<li>The index serves as a reference point for comparing the stock\u2019s performance against the broader market.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>3. Time Frame<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Choose a consistent time frame for the stock and index data.<\/li>\n\n\n\n<li>Common time frames include:\n<ul class=\"wp-block-list\">\n<li><strong>1 Year: <\/strong>Reflects short-term market trends.<\/li>\n\n\n\n<li><strong>3 Years: <\/strong>Captures medium-term movements.<\/li>\n\n\n\n<li><strong>5 Years: <\/strong>Provides a long-term view of volatility.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>4. Frequency of Data<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Decide whether to use daily, weekly, or monthly returns:\n<ul class=\"wp-block-list\">\n<li><strong>Daily Returns: <\/strong>Capture fine-grained volatility but may be influenced by short-term noise.<\/li>\n\n\n\n<li><strong>Weekly or Monthly Returns: <\/strong>Better for identifying broader trends.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>5. Software or Tools<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Use tools like Excel, Google Sheets, or financial platforms for easier computation.<\/li>\n\n\n\n<li>Ensure the data is clean and free from missing values or inconsistencies.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>How to Calculate Beta of a Stock: Step-by-Step Guide<\/strong><\/h2>\n\n\n\n<p>Beta calculation involves comparing a stock\u2019s price movements to a benchmark market index. Here\u2019s a step-by-step guide:<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Step 1: Gather Historical Data<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Collect historical closing prices for the stock and the market index.<\/li>\n\n\n\n<li>Ensure the data corresponds to the same time period and frequency (e.g., daily, weekly, or monthly).<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Step 2: Calculate Returns<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Compute the percentage change in prices for both the stock and the market index:<br><strong>Return = (Current Price &#8211; Previous Price) \u00f7 Previous Price \u00d7 100<\/strong><\/li>\n\n\n\n<li>Repeat this for each time period in your dataset.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Step 3: Calculate Covariance<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Covariance measures how the stock\u2019s returns move relative to the market\u2019s returns.<\/li>\n\n\n\n<li>Use this formula:<br><strong>Covariance (Stock, Market) = \u03a3[(Stock Return &#8211; Stock Mean) \u00d7 (Market Return &#8211; Market Mean)] \u00f7 (n &#8211; 1)<\/strong><\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Step 4: Calculate Market Variance<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Variance reflects how much the market\u2019s returns deviate from their average:<br><strong>Variance (Market) = \u03a3[(Market Return &#8211; Market Mean)\u00b2] \u00f7 (n &#8211; 1)<\/strong><\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Step 5: Calculate Beta<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Finally, divide the covariance of the stock and market by the market\u2019s variance:<br><strong>Beta = Covariance (Stock, Market) \u00f7 Variance (Market)<\/strong><\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Step 6: Perform Regression Analysis (Optional)<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Use regression to confirm beta as the slope of the line when plotting stock returns (Y-axis) against market returns (X-axis).<\/li>\n\n\n\n<li>Most spreadsheet tools, like Excel, offer built-in regression functions.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Example of Beta Calculation<\/strong><\/h2>\n\n\n\n<p>Let\u2019s walk through an example to calculate the beta of a stock using hypothetical data:<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Scenario<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Stock Returns<\/strong>: Daily percentage returns over 5 days: [1.2%, 0.8%, -0.5%, 1.5%, -1.0%].<\/li>\n\n\n\n<li><strong>Market Index Returns<\/strong>: Corresponding daily returns: [1.0%, 0.6%, -0.4%, 1.2%, -0.8%].<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Step 1: Calculate Averages<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Average Stock Return<\/strong> = (1.2 + 0.8 &#8211; 0.5 + 1.5 &#8211; 1.0) \u00f7 5 = <strong>0.4%<\/strong><\/li>\n\n\n\n<li><strong>Average Market Return<\/strong> = (1.0 + 0.6 &#8211; 0.4 + 1.2 &#8211; 0.8) \u00f7 5 = <strong>0.32%<\/strong><\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Step 2: Calculate Covariance<\/strong><\/h4>\n\n\n\n<p>Use the formula:<br><strong>Covariance = \u03a3[(Stock Return &#8211; Stock Average) \u00d7 (Market Return &#8211; Market Average)] \u00f7 (n &#8211; 1)<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Calculate deviations for each day:\n<ul class=\"wp-block-list\">\n<li>Stock Deviations: [0.8, 0.4, -0.9, 1.1, -1.4]<\/li>\n\n\n\n<li>Market Deviations: [0.68, 0.28, -0.72, 0.88, -1.12]<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Multiply deviations for each day:\n<ul class=\"wp-block-list\">\n<li>Products: [0.544, 0.112, 0.648, 0.968, 1.568]<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Sum products: <strong>\u03a3 = 3.84<\/strong><\/li>\n\n\n\n<li>Divide by (n &#8211; 1):<\/li>\n<\/ol>\n\n\n\n<p><strong>Covariance = 3.84 \u00f7 4 = 0.96%<\/strong><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Step 3: Calculate Market Variance<\/strong><\/h4>\n\n\n\n<p>Use the formula:<br><strong>Variance = \u03a3[(Market Return &#8211; Market Average)\u00b2] \u00f7 (n &#8211; 1)<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Square each market deviation: [0.4624, 0.0784, 0.5184, 0.7744, 1.2544]<\/li>\n\n\n\n<li>Sum squared deviations: <strong>\u03a3 = 3.088<\/strong><\/li>\n\n\n\n<li>Divide by (n &#8211; 1):<\/li>\n<\/ol>\n\n\n\n<p><strong>Variance = 3.088 \u00f7 4 = 0.772%<\/strong><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Step 4: Calculate Beta<\/strong><\/h4>\n\n\n\n<p>Beta = Covariance \u00f7 Variance<br>Beta = 0.96 \u00f7 0.772 = 1.24<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Interpretation<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The beta of <strong>1.24<\/strong> indicates that the stock is more volatile than the market.<\/li>\n\n\n\n<li>For every 1% market movement, the stock is expected to move <strong>1.24%<\/strong> in the same direction.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Tools to Calculate Beta Easily<\/strong><\/h2>\n\n\n\n<p>Calculating beta manually can be time-consuming, especially with large datasets. Thankfully, various tools and platforms simplify the process, making it accessible for all levels of traders and investors.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>1. Online Beta Calculators<\/strong><\/h4>\n\n\n\n<p>Free online calculators are widely available and require minimal input. Simply provide the stock symbol, benchmark index, and time frame.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Examples<\/strong>:\n<ul class=\"wp-block-list\">\n<li>Investing.com Beta Calculator<\/li>\n\n\n\n<li>MarketWatch Tools<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>2. Spreadsheet Software (Excel\/Google Sheets)<\/strong><\/h4>\n\n\n\n<p>Spreadsheet programs are versatile for beta calculations using built-in statistical functions.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Key Steps<\/strong>:\n<ul class=\"wp-block-list\">\n<li>Input historical returns for the stock and market.<\/li>\n\n\n\n<li>Use the <strong>COVAR<\/strong> function to calculate covariance.<\/li>\n\n\n\n<li>Use the <strong>VAR<\/strong> function for market variance.<\/li>\n\n\n\n<li>Divide covariance by variance to get beta.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Advantages<\/strong>:\n<ul class=\"wp-block-list\">\n<li>Customisation for different time frames and data sets.<\/li>\n\n\n\n<li>Easy to automate for multiple stocks.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>3. Advanced Trading Platforms<\/strong><\/h4>\n\n\n\n<p>Professional trading platforms often include pre-calculated beta values for stocks.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Examples<\/strong>:\n<ul class=\"wp-block-list\">\n<li>Bloomberg Terminal<\/li>\n\n\n\n<li>Reuters Eikon<\/li>\n\n\n\n<li>ThinkOrSwim<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Additional Benefits<\/strong>:\n<ul class=\"wp-block-list\">\n<li>Real-time data integration.<\/li>\n\n\n\n<li>Sector-specific beta comparisons.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>4. Brokerage Apps<\/strong><\/h4>\n\n\n\n<p>Many brokerage platforms provide beta values as part of their research tools, allowing investors to access data quickly.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Examples<\/strong>:\n<ul class=\"wp-block-list\">\n<li>Zerodha (India)<\/li>\n\n\n\n<li>TD Ameritrade (US)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>5. Financial Websites<\/strong><\/h4>\n\n\n\n<p>Platforms like Yahoo Finance and Morningstar display beta values alongside other stock metrics.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Key Features<\/strong>:\n<ul class=\"wp-block-list\">\n<li>Pre-calculated beta based on historical data.<\/li>\n\n\n\n<li>Comparison with industry benchmarks.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Limitations of Beta<\/strong><\/h2>\n\n\n\n<p>While beta is a valuable tool for assessing stock volatility and market risk, it has several limitations that investors should consider:<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>1. Historical Nature<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Limitation<\/strong>: Beta is calculated using past price data and may not accurately predict future stock behaviour.<\/li>\n\n\n\n<li><strong>Impact<\/strong>: Stocks can react differently to market movements during unexpected events, such as economic crises or regulatory changes.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>2. Sector and Industry Variations<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Limitation<\/strong>: Beta values can differ significantly across industries. A high beta may indicate normal behaviour in tech stocks but signal excessive risk in utilities.<\/li>\n\n\n\n<li><strong>Impact<\/strong>: Comparing beta across sectors can be misleading without understanding industry norms.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>3. Time Frame Dependency<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Limitation<\/strong>: Beta calculations can vary depending on the time frame used (e.g., 1 year vs 5 years).<\/li>\n\n\n\n<li><strong>Impact<\/strong>: Short time frames may reflect temporary volatility, while long time frames may smooth out significant changes.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>4. Ignores Non-Market Risks<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Limitation<\/strong>: Beta only measures market-related risk (systematic risk) and ignores company-specific risks, such as management issues or product failures.<\/li>\n\n\n\n<li><strong>Impact<\/strong>: Investors relying solely on beta may overlook critical risks affecting the stock.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>5. Limited Use for New or Illiquid Stocks<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Limitation<\/strong>: Stocks with insufficient trading history or low liquidity often have unreliable beta values.<\/li>\n\n\n\n<li><strong>Impact<\/strong>: New companies or thinly traded stocks may show distorted or unstable beta readings.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>6. Oversimplifies Volatility<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Limitation<\/strong>: Beta assumes a linear relationship between stock and market movements, which may not always hold true.<\/li>\n\n\n\n<li><strong>Impact<\/strong>: During extreme market conditions, stock behaviour may deviate significantly from beta predictions.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Conclusion: Trade Confidently with Proper Position Sizing<\/strong><\/h2>\n\n\n\n<p>Beta is a crucial metric for evaluating a stock\u2019s volatility and its relationship with the market. It helps investors assess risk, manage portfolio diversification, and align stock choices with their financial goals.<\/p>\n\n\n\n<p>However, beta has its limitations and should be used alongside other tools like fundamental analysis and sector trends to ensure comprehensive investment decisions.At <strong>Streetgains<\/strong>, we empower retail investors with actionable insights and simplified tools to interpret key metrics like beta effectively. Leverage our expertise to make informed, confident investment decisions.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Beta is a key metric in stock trading, used to measure a stock\u2019s volatility relative to the overall market. It [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":2227,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[42],"tags":[],"class_list":["post-2150","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-stock-market-basics"],"acf":[],"_links":{"self":[{"href":"https:\/\/streetgains.in\/insights\/wp-json\/wp\/v2\/posts\/2150","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/streetgains.in\/insights\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/streetgains.in\/insights\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/streetgains.in\/insights\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/streetgains.in\/insights\/wp-json\/wp\/v2\/comments?post=2150"}],"version-history":[{"count":6,"href":"https:\/\/streetgains.in\/insights\/wp-json\/wp\/v2\/posts\/2150\/revisions"}],"predecessor-version":[{"id":3500,"href":"https:\/\/streetgains.in\/insights\/wp-json\/wp\/v2\/posts\/2150\/revisions\/3500"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/streetgains.in\/insights\/wp-json\/wp\/v2\/media\/2227"}],"wp:attachment":[{"href":"https:\/\/streetgains.in\/insights\/wp-json\/wp\/v2\/media?parent=2150"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/streetgains.in\/insights\/wp-json\/wp\/v2\/categories?post=2150"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/streetgains.in\/insights\/wp-json\/wp\/v2\/tags?post=2150"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}