{"id":17009,"date":"2020-11-17T23:22:00","date_gmt":"2020-11-17T23:22:00","guid":{"rendered":"https:\/\/adhikarnama.in\/?p=17009"},"modified":"2023-01-23T09:36:55","modified_gmt":"2023-01-23T09:36:55","slug":"what-are-moving-averages-technical-analysis","status":"publish","type":"post","link":"https:\/\/adhikarnama.in\/?p=17009","title":{"rendered":"What are Moving Averages? Technical Analysis"},"content":{"rendered":"<div id=\"toc\" style=\"background: #f9f9f9;border: 1px solid #aaa;display: table;margin-bottom: 1em;padding: 1em;width: 350px;\">\n<p class=\"toctitle\" style=\"font-weight: 700;text-align: center;\">Content<\/p>\n<ul class=\"toc_list\">\n<li><a href=\"#toc-0\">Types of Moving averages<\/a><\/li>\n<li><a href=\"#toc-1\">How to Interpret the Moving Average<\/a><\/li>\n<li><a href=\"#toc-2\">What is the Moving Average?<\/a><\/li>\n<li><a href=\"#toc-3\">How Does the Moving Average Compare With Other Technical Indicators?<\/a><\/li>\n<li><a href=\"#toc-4\">Exponential Moving Average<\/a><\/li>\n<li><a href=\"#toc-5\">How to Trade With Moving Averages<\/a><\/li>\n<\/ul>\n<\/div>\n<p><img decoding=\"async\" class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"250px\" alt=\"what is moving average\"\/><\/p>\n<p>When one moving average is applied to the chart, then a buy signal is provided when the chart breaks the moving average from the bottom with the body of a candlestick. On the other hand, a sell signal is provided <a href=\"https:\/\/www.bigshotrading.info\/\">https:\/\/www.bigshotrading.info\/<\/a> when the chart breaks the moving average from the top with the body of a candlestick. A moving average is calculated by choosing certain periods and then dividing this number by the number of chosen periods.<\/p>\n<ul>\n<li>To clarify, old data points retain a multiplier even if they are outside of the selected data series length.<\/li>\n<li>It is calculated by adding up all the data points during a specific period and dividing the sum by the number of time periods.<\/li>\n<li>Most moving averages are based on closing prices; for example, a 5-day simple moving average is the five-day sum of closing prices divided by five.<\/li>\n<li>On the flip side, the EMA will probably experience more short-term changes than a corresponding SMA.<\/li>\n<li>Longer-term traders, on the other hand, tend to prefer SMAs because they\u2019re not in a rush to act and can be less actively engaged in their trades.<\/li>\n<li>The exponential moving average puts more emphasis on the latest prices.<\/li>\n<\/ul>\n<p>It is popular amongst traders because it can help to determine the direction of the current trend, while lessening the impact of random price spikes. There are various types of moving averages, simple moving averages and exponential moving averages being the most commonly used.<\/p>\n<h2 id=\"toc-0\">Types of Moving averages<\/h2>\n<p>The moving average calculation applies the moving average period to dates in your dataset, not calendar days. If a date is missing from your dataset, the next closest date in the dataset will be used, rather than using the consecutive calendar date. Therefore, datasets with large ranges of missing dates may result in inaccurate calculations near the beginning and end of the missing dates. Parameter determines how many days are included in the moving average calculation. For example, if you want to calculate a one-week moving average, use a period of seven days. The MACD can be used on multiple timeframes ranging across minutes, hours, days and weeks. The common timeframes are daily for short-term traders and weekly for longer-term traders.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src=\"data:image\/jpeg;base64,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\" width=\"259px\" alt=\"what is moving average\"\/><\/p>\n<p>This is a system that is created by combining not just one but two lagging indicators. Both of these indicators react only to what has already happened and are not designed to make predictions. A system like this one definitely works best in a very strong trend. While in a strong trend, this system or a similar <a href=\"https:\/\/www.bigshotrading.info\/blog\/moving-average-what-do-you-need-to-know\/\">what is moving average<\/a> one can actually be quite valuable. Crossovers require the use of two Moving Averages of varying length on the same chart. Mr. Vivek wants to compute the estimated price of the onion for tomorrow based on an average of the last ten days. He believes there is a 10% upwards trend because of rising fuel prices.<\/p>\n<h2 id=\"toc-1\">How to Interpret the Moving Average<\/h2>\n<p>Whenever the yellow line crosses the purple line from above the price of the asset decreases. In the graph above you can see a major drop in volume as the yellow line creates a death cross with the purple line after  dissecting it from above. On the other hand, when the yellow line crosses the purple line from belowa golden cross is formed, as seen at the right-hand side of the graph. This parameter is only available if the time series  graph was created with multiple number fields or multiple date\/time fields.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"257px\" alt=\"what is moving average\"\/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Content Types of Moving averages How to Interpret the Moving Average What is the Moving Average? How Does the Moving Average Compare With Other Technical Indicators? Exponential Moving Average How to Trade With Moving Averages When one moving average is applied to the chart, then a buy signal is provided when the chart breaks the [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":{"0":"post-17009","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-1"},"_links":{"self":[{"href":"https:\/\/adhikarnama.in\/index.php?rest_route=\/wp\/v2\/posts\/17009","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/adhikarnama.in\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/adhikarnama.in\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/adhikarnama.in\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/adhikarnama.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=17009"}],"version-history":[{"count":1,"href":"https:\/\/adhikarnama.in\/index.php?rest_route=\/wp\/v2\/posts\/17009\/revisions"}],"predecessor-version":[{"id":17010,"href":"https:\/\/adhikarnama.in\/index.php?rest_route=\/wp\/v2\/posts\/17009\/revisions\/17010"}],"wp:attachment":[{"href":"https:\/\/adhikarnama.in\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=17009"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/adhikarnama.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=17009"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/adhikarnama.in\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=17009"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}