{"id":3573,"date":"2014-10-21T16:25:01","date_gmt":"2014-10-21T10:55:01","guid":{"rendered":"http:\/\/zerodha.com\/z-connect\/?p=3573"},"modified":"2024-02-02T15:33:04","modified_gmt":"2024-02-02T10:03:04","slug":"quant-market-trends","status":"publish","type":"post","link":"https:\/\/zerodha.com\/z-connect\/general\/quant-market-trends","title":{"rendered":"Quant &#8211; Market Trends"},"content":{"rendered":"<div dir=\"ltr\">\n<div>\n<div>\n<p>Traders,<\/p>\n<p>If you are looking at Quant\u00a0for the first time, I\u2019d suggest you to start with\u00a0our introduction on\u00a0<a href=\"https:\/\/zerodha.com\/z-connect\/tradezerodha\/q-reporting-analytics\/quant\/quant-sabermetric-approach-to-trading\" target=\"_blank\" rel=\"noopener\">Quant\u00a0\u2013 Time Based Analytics and Equity Curve.\u00a0<\/a><\/p>\n<p>There are traders who perform better in bullish markets compared to bearish, and\u00a0vice-versa. Do you know which category you fall in?<\/p>\n<p>The new <b>Quant \u2013 Market Trends<\/b> will help you figure this out based on your trading history. It will not only tell you the number of times you have been profitable in bullish\/bearish markets, but also the quantum of profits\/losses made. This should give you that edge as a trader to know what conditions to avoid and when to be aggressive.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<h3>Determining Bullishness\/Bearishness<\/h3>\n<p>Bullishness\/bearishness is a relative term, and hence we have given each one of you an option to tailor the conditions to your definition. Since this analytic is based on the\u00a0market trend, we will be using Nifty Index to help determine if a day is bullish or bearish.<\/p>\n<div id=\"attachment_3586\" style=\"width: 1226px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/zerodha.com\/z-connect\/wp-content\/uploads\/2014\/10\/q1.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-3586\" class=\"wp-image-3586 size-full\" src=\"https:\/\/zerodha.com\/z-connect\/wp-content\/uploads\/2014\/10\/q1.png\" alt=\"q1\" width=\"1216\" height=\"185\" srcset=\"https:\/\/zerodha.com\/z-connect\/wp-content\/uploads\/2014\/10\/q1.png 1216w, https:\/\/zerodha.com\/z-connect\/wp-content\/uploads\/2014\/10\/q1-300x45.png 300w, https:\/\/zerodha.com\/z-connect\/wp-content\/uploads\/2014\/10\/q1-1024x155.png 1024w\" sizes=\"auto, (max-width: 1216px) 100vw, 1216px\" \/><\/a><p id=\"caption-attachment-3586\" class=\"wp-caption-text\">Determine Bullish\/Bearish Day<\/p><\/div>\n<ul>\n<li>SMA: Choose a time period for simple moving average (SMA) of the Nifty. Higher the trading day&#8217;s Nifty closing price above this SMA higher the bullishness and vice versa. By default you will see a 35% weightage for this SMA metric to calculate if a day is bullish\/bearish. If you want to give more importance to this, you can increase the %.<\/li>\n<li>Open-Close: Day is Bullish if Closing price &gt; Open price and Bearish if Close &lt; Open of Nifty. Higher the range ( Open &#8211; Close) , more the bullishness\/bearishness. By default this factor contributes 40%.<\/li>\n<li>High-Low: Bullish if High of Nifty is near the closing price of Nifty for the day, and Bearish if Low of Nifty is near the closing price of Nifty for the day. Closer the High\/Low to the closing price of Nifty, higher the bullishness\/bearishness respectively. This by default contributes 25%.<\/li>\n<\/ul>\n<p>Based on the SMA period and the weightage for each of the three options that you choose, we will determine if a day is bullish or bearish. You can see in the picture of the scatter plot below that the size of each point on the plot will depend on how bullish\/bearish that day was for the market (Nifty). Big green dots represent very bullish days, and big red dots represent very bearish days.<\/p>\n<h3>Your Historical Trading Performance<\/h3>\n<p>Once we have determined bullishness\/bearishness, your trading performance on each of these days are plotted against them. All points above the 0 (x-axis) coloured in green are the days you were profitable and the ones below the x-axis in red are loss making days.<\/p>\n<div id=\"attachment_3587\" style=\"width: 1186px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/zerodha.com\/z-connect\/wp-content\/uploads\/2014\/10\/Untitled-2.gif\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-3587\" class=\"wp-image-3587 size-full\" src=\"https:\/\/zerodha.com\/z-connect\/wp-content\/uploads\/2014\/10\/Untitled-2.gif\" alt=\"Untitled-2\" width=\"1176\" height=\"868\" \/><\/a><p id=\"caption-attachment-3587\" class=\"wp-caption-text\">Quant &#8211; Market Trends<\/p><\/div>\n<p>The following inferences can be made looking at the above plot and data shared:<\/p>\n<ol>\n<li>The client is profitable on 60% of the days when market is bullish, compared to only 44% when market is bearish.<\/li>\n<li>In terms of Rs profits made, 30% more profitable trading bullish days as compared to bearish days.<\/li>\n<li>In terms of Rs losses made, a 200% increase in loss trading bearish days as compared to trading bullish days.<\/li>\n<li>Clearly, the odds of this client winning are much more trading when market is bullish compared to when markets are bearish. So, it might be a good idea to reduce trading size when market is bearish and increase when markets are bullish.<\/li>\n<\/ol>\n<p>Note: Check this<a href=\"https:\/\/zerodha.com\/z-connect\/tradezerodha\/q-reporting-analytics\/quant\/quant-sabermetric-approach-to-trading\" target=\"_blank\" rel=\"noopener\"> post<\/a> to know the difference between Type &#8211; T and D,\u00a0while generating Quant. All these reports are on a gross basis only (excluding brokerage, taxes, and all other charges). Use higher Simple moving average day interval, and give a higher % weightage for SMA to determine your profitability during longer bullish\/bearish market trends.<\/p>\n<p><span style=\"color: #008000;\">***Update &#8211; 3rd Nov 2014.\u00a0By popular demand, we have decided to include\u00a0approximate trading costs before displaying the quant. Computing exact costs is not available right now, but is planned for the future. Also, since all quants are meant to show you relative performance, we believe that it is reasonable enough to help you make decisions based on approximate trading costs. If you want to see your normal P&amp;L statements with exact costs, it is available in the report section under\u00a0<a style=\"color: #008000;\" href=\"http:\/\/q.zerodha.com\/\" target=\"_blank\" rel=\"noopener\">Q<\/a>.<\/span><\/p>\n<p><span style=\"color: #008000;\">Approximate\u00a0Trading\u00a0Costs\u00a0<wbr \/>assumed (including\u00a0Brokerage, STT\/CTT, Transaction charges, Service tax, Stamp duty), :<\/span><\/p>\n<div><span style=\"color: #008000;\">1. Equity : 0.02% or Rs 2000\/crore of turnover<\/span><\/div>\n<div><span style=\"color: #008000;\">2. Equity Futures: 0.0125% or Rs 1500\/crore of turnover<\/span><\/div>\n<div><span style=\"color: #008000;\">3. Equity Options: 0.08% or Rs 8000\/crore of premium turnover<\/span><\/div>\n<div><span style=\"color: #008000;\">4. Currency Futures: 0.0075% or Rs 750\/crore of turnover<\/span><\/div>\n<div><span style=\"color: #008000;\">5. Currency Options: 0.06% or Rs 6000\/crore of premium turnover<\/span><\/div>\n<div><span style=\"color: #008000;\">6. Commodity Futures: 0.0125% or Rs 1250\/crore of turnover<\/span><\/div>\n<div><\/div>\n<div>You can also see all your quants without trading costs, Click on N to not consider trading costs.<\/div>\n<div><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-3896 size-full\" src=\"https:\/\/zerodha.com\/z-connect\/wp-content\/uploads\/2014\/12\/img_5491c17467d3b.png\" alt=\"\" width=\"1212\" height=\"129\" srcset=\"https:\/\/zerodha.com\/z-connect\/wp-content\/uploads\/2014\/12\/img_5491c17467d3b.png 1212w, https:\/\/zerodha.com\/z-connect\/wp-content\/uploads\/2014\/12\/img_5491c17467d3b-300x31.png 300w, https:\/\/zerodha.com\/z-connect\/wp-content\/uploads\/2014\/12\/img_5491c17467d3b-1024x108.png 1024w\" sizes=\"auto, (max-width: 1212px) 100vw, 1212px\" \/><\/div>\n<p>Hopefully these insights will help improve your trading performance. We will have many more of such interesting analytics released in the next few months on Quant to help you learn &amp; improve as you trade, do let us know if there is anything in particular you would like to see.<\/p>\n<p>Happy Trading,<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Traders, If you are looking at Quant\u00a0for the first time, I\u2019d suggest you to start with\u00a0our introduction on\u00a0Quant\u00a0\u2013 Time Based Analytics and Equity Curve.\u00a0 There are traders who perform better in bullish markets compared to bearish, and\u00a0vice-versa. Do you know which category you fall in? The new Quant \u2013 Market Trends will help you figure [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":3585,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[531],"tags":[327,325],"class_list":["post-3573","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-general","tag-market-trends","tag-quant-2"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v23.5 (Yoast SEO v26.6) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Quant - Market Trends &#8211; Z-Connect by Zerodha<\/title>\n<meta name=\"description\" content=\"Traders, If you are looking at Quant\u00a0for the first time, I\u2019d suggest you to start with\u00a0our introduction on\u00a0Quant\u00a0\u2013 Time Based Analytics and Equity Curve.\u00a0\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/zerodha.com\/z-connect\/general\/quant-market-trends\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Quant - Market Trends\" \/>\n<meta property=\"og:description\" content=\"Traders, If you are looking at Quant\u00a0for the first time, I\u2019d suggest you to start with\u00a0our introduction on\u00a0Quant\u00a0\u2013 Time Based Analytics and Equity Curve.\u00a0\" \/>\n<meta property=\"og:url\" content=\"https:\/\/zerodha.com\/z-connect\/general\/quant-market-trends\" \/>\n<meta property=\"og:site_name\" content=\"Z-Connect by Zerodha\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/zerodha.social\" \/>\n<meta property=\"article:published_time\" content=\"2014-10-21T10:55:01+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-02-02T10:03:04+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/zerodha.com\/z-connect\/wp-content\/uploads\/2014\/10\/QUant2.gif\" \/>\n\t<meta property=\"og:image:width\" content=\"708\" \/>\n\t<meta property=\"og:image:height\" content=\"375\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/gif\" \/>\n<meta name=\"author\" content=\"Nithin Kamath\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@nithin0dha\" \/>\n<meta name=\"twitter:site\" content=\"@zerodhaonline\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Nithin Kamath\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/zerodha.com\/z-connect\/general\/quant-market-trends\",\"url\":\"https:\/\/zerodha.com\/z-connect\/general\/quant-market-trends\",\"name\":\"Quant - Market Trends &#8211; 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