
{"id":2206,"date":"2013-02-28T15:36:14","date_gmt":"2013-02-28T15:36:14","guid":{"rendered":"http:\/\/blog.thehotpennystocks.com\/?p=2206"},"modified":"2013-04-09T11:36:24","modified_gmt":"2013-04-09T11:36:24","slug":"simple-moving-average","status":"publish","type":"post","link":"\/learn\/simple-moving-average\/","title":{"rendered":"Simple Moving Average"},"content":{"rendered":"<p>A simple moving average is formulated by adding up the last X number of market days\u2019 closing prices and dividing that total by X.<\/p>\n<p>For example, if you wanted to calculate a stock XYZ\u2019s 3 day simple moving average. You would add up 3 day\u2019s closing prices. Let\u2019s say XYZ\u2019s closed at, 10, 11 and 12 the last 3 days. These prices added together equals 33. We then take that number an divide it by the number of days used, which is 3. So, you would plot 33\/3 (= 11) over 3 days on the chart to show the moving average.<\/p>\n<p>($10+$11+$12) \/ 3 = $11 (3-Day Simple Average Price)<\/p>\n<p>You might be saying, \u201cOkay, great I know how to calculate a simple moving average now. So what, my charting tool already does that!\u201d Well, this way you should hopefully have a better understanding of how the SMA works and therefore have a greater ability to use it to help with your technical analysis.<\/p>\n<h2>Simple Moving Average Example<\/h2>\n<p><img decoding=\"async\" loading=\"lazy\" alt=\"simple moving averages\" src=\"http:\/\/www.thehotpennystocks.com\/Learn-To-Trade\/images\/moving-averages-sma.gif\" width=\"580\" height=\"204\" \/><\/p>\n<p>The above chart shows 3 examples of simple moving averages. Obviously, the closer the time span gets to 0 days, the closer it represents the actual price chart, and the faster it responds to price trends. The opposite is also true, the greater the number of days used to calculate the SMA the less quickly it responds to the current price trend.<\/p>\n<p>With looking at the simple moving average in the above chart, you will notice how it has the ability to quiet out some of the \u201cmarket noise\u201d and give you an easier way to predict future price movements.<\/p>\n<h3>Moving Averages : Table of Contents<\/h3>\n<ol>\n<li><a title=\"Introduction to Moving Averages\" href=\"http:\/\/learn-to-trade.thehotpennystocks.com\/introduction-to-moving-averages\/\">Introduction<\/a><\/li>\n<li><a title=\"Simple Moving Average\" href=\"http:\/\/learn-to-trade.thehotpennystocks.com\/simple-moving-average\/\">Simple Moving Averages<\/a><\/li>\n<li><a title=\"Exponential Moving Average\" href=\"http:\/\/learn-to-trade.thehotpennystocks.com\/exponential-moving-average\/\">Exponential Moving Averages<\/a><\/li>\n<li><a title=\"SMA vs EMA Moving Averages\" href=\"http:\/\/learn-to-trade.thehotpennystocks.com\/sma-vs-ema-moving-averages\/\">SMA vs. EMA<\/a><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>A simple moving average is formulated by adding up the last X number of market days\u2019 closing prices and dividing that total by X. For example, if you wanted to calculate a stock XYZ\u2019s 3 day simple moving average. You would add up 3 day\u2019s&#46;&#46;&#46;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2,5],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Simple Moving Average - The Hot Penny Stocks<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/learn-to-trade.thehotpennystocks.com\/learn\/simple-moving-average\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Simple Moving Average - The Hot Penny Stocks\" \/>\n<meta property=\"og:description\" content=\"A simple moving average is formulated by adding up the last X number of market days\u2019 closing prices and dividing that total by X. 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