{"id":2052,"date":"2022-10-20T14:27:50","date_gmt":"2022-10-20T14:27:50","guid":{"rendered":"https:\/\/silicoded.com\/?p=2052"},"modified":"2023-03-19T04:50:38","modified_gmt":"2023-03-19T04:50:38","slug":"fibonacci-retracement-wikipedia","status":"publish","type":"post","link":"https:\/\/silicoded.com\/index.php\/2022\/10\/20\/fibonacci-retracement-wikipedia\/","title":{"rendered":"Fibonacci retracement Wikipedia"},"content":{"rendered":"<p><img decoding=\"async\" class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"300px\" alt=\"trades\"\/><\/p>\n<p><p>These levels are used for swing trading, placing stop orders, and trading resistance and support levels. Possible targets for correction and trend continuation can also be determined based on these levels. It helps traders trade in the market when stocks rally sharply, and all they have to do is wait for retracement or correction to happen.<\/p>\n<\/p>\n<ul>\n<li>It is important to use additional indicators, in particular MACD, to identify when support or resistance is actually being encountered and a reversal is likely.<\/li>\n<li>Fibonacci extensions are extremely helpful in determining price target objectives following a breakout.<\/li>\n<li>PullbackA pullback occurs when the price of a stock or commodity pauses or goes against a prevailing trend in the stock market.<\/li>\n<li>In this case it\u2019s more likely to see breakout of the bottom at 1,053.<\/li>\n<li>Use them to assess the depth of the corrective movement and the probability of its transition to a new reversal trend.<\/li>\n<\/ul>\n<p><p>Fibonacci levels are a fairly useful trading tool with various usages. They can be used to identify support and resistance levels and also potential targets past new highs or lows. As is the case with other indicators, the use of Fibonacci retracement is highly subjective.<\/p>\n<\/p>\n<p><h2>Chapter 7: Advanced Fibonacci Trading Topics<\/h2>\n<\/p>\n<p><p>The <a href=\"https:\/\/www.beaxy.com\/blog\/fibonacci-retracement-levels-explained\/\">fib levels explained<\/a> sequence is a series of numbers where the next number is simply the sum of the two preceding numbers. So for example, it would run 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144 and so on, with the sequence continuing indefinitely. Dow TheoryThe Dow theory is founded on ideas derived from Charles H. Dow&#8217;s editorials. It fundamentally states that a significant shift between bear and bull sentiment in a stock market will occur when multiple indices confirm it. The Fibonacci levels applied in Chart A using the standard method creates targets that would appear to be completely unreliable. However, applying the tool at the secondary high as the starting point on the same chart \u2013 as in Chart B \u2013 reveals a pattern that honors Fibonacci levels more accurately.<\/p>\n<\/p>\n<p><p>Technical analysis is only one approach to analyzing stocks. When considering which stocks to buy or sell, you should use the approach that you&#8217;re most comfortable with. Fibonacci Retracements are displayed by first drawing a trend line GAL between two extreme points.<\/p>\n<\/p>\n<p><h2>The Formula for Fibonacci Retracement Levels<\/h2>\n<\/p>\n<p><p>These countertrend moves tend to fall into certain parameters, which are often the Fibonacci Retracement levels. Are you looking to find the most volatile stocks today? Here\u2019s how you can use Scanz to find the top movers every single day. For short term trading, I personally prefer 9 or 21 day data points.<\/p>\n<\/p>\n<p><p>A strong trend can be defined as a stock with successive highs with pullbacks of less than 50%. If you see retracements of 61.8% or 100%, the stock is likely in a basing phase before the next move. Price action must be analyzed at these levels to understand if the countertrend move will stop and the trend will resume.<\/p>\n<\/p>\n<p><p>If the main <a href=\"https:\/\/www.beaxy.com\/\">https:\/\/www.beaxy.com\/<\/a> pulls strong, the correction will end here with the highest probability. The grid is stretched from the beginning of the trend to its end. Therefore, for an upward chart, 0% will be at its high, for a downtrend \u2013 at its low.<\/p>\n<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"300px\" alt=\"previous\"\/><\/p>\n<p><p>This two-line indicator can help identify overbought and oversold levels. The strategy looks for key signals from the stochastic indicator when the price touches an important Fibonacci level. The two signals together indicate an opportunity to open a position. Combining Fibonacci retracement lines with the MACD indicator\u200b. This strategy looks for a crossing over of the MACD indicator, when a security\u2019s price touches an important Fibonacci level. When this happens, a position can be opened in the direction of the trend.<\/p>\n<\/p>\n<p><p>Divide any number in the series by the previous number; the ratio is always approximately 1.618. The topic of Fibonacci retracements is quite intriguing. To fully understand and appreciate the concept of Fibonacci retracements, one must understand the Fibonacci series. The origins of the Fibonacci series can be traced back to the ancient Indian mathematic scripts, with some claims dating back to 200 BC. However, in the 12th century, Leonardo Pisano Bogollo, an Italian mathematician from Pisa, known to his friends as Fibonacci discovered Fibonacci numbers. You can use our ChartNotes annotation tool to add Fibonacci Retracement Lines to your charts.<\/p>\n<\/p>\n<div itemScope itemProp=\"mainEntity\" itemType=\"https:\/\/schema.org\/Question\">\n<div itemProp=\"name\">\n<h2>What are the best fib levels?<\/h2>\n<\/div>\n<div itemScope itemProp=\"acceptedAnswer\" itemType=\"https:\/\/schema.org\/Answer\">\n<div itemProp=\"text\">\n<p>Which Are the Best Fibonacci Retracement Settings? The most commonly-used Fibonacci retracement levels are at 23.6%, 38.2%, 61.8%, and 78.6%. 50% is also a common retracement level, although it is not derived from the Fibonacci numbers.<\/p>\n<\/div><\/div>\n<\/div>\n<p><p>The more confirming factors we use to study the  and reversal, more robust is the signal. The same logic can also be applied for the short trade. Fibonacci retracement levels shown on the USD\/CAD currency pair. In this case, price retraced approximately 38.2% of a move down before continuing. Fibonacci retracements trace their roots back to Fibonacci numbers where were discovered centuries ago and developed into a technical analysis tool.<\/p>\n<\/p>\n<p><p>Below, you&#8217;ll find an example of a chart annotated with Fibonacci Retracement Lines. One of the most important concepts that are uncovered ADA by the Fibonacci retracements is periods when the market is likely to consolidate. You can see in the chart of the S&#038;P 500 index that the Fibonacci Retracement levels act like magnets creating a self-fulfilling prophecy. The 38.2% Fibonacci ratio and the 61.8% Fibonacci ratio are calculated by subtracting the recent high from the recent low and targeting the impending rebound.<\/p>\n<\/p>\n<p><p>Now a days rather than fibonacci levels what i have observed is retracement of 33, 42 to 45, 52 and 65 to 68 percent range. To be precise i dont have data to give but i hope ypu have them to check and reply. Think of a situation where you wanted to buy a particular stock, but you have not been able to do so because of a sharp run-up in the stock. The most prudent action to take would be to wait for a retracement in the stock in such a situation. Fibonacci retracement levels such as 61.8%, 38.2%, and 23.6% act as a potential level upto which a stock can correct.<\/p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>These levels are used for swing trading, placing stop orders, and trading resistance and support levels. Possible targets for correction and trend continuation can also be determined based on these levels. It helps traders trade in the market when stocks rally sharply, and all they have to do is wait for retracement or correction to&hellip; <a class=\"more-link\" href=\"https:\/\/silicoded.com\/index.php\/2022\/10\/20\/fibonacci-retracement-wikipedia\/\">Continue reading <span class=\"screen-reader-text\">Fibonacci retracement Wikipedia<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false},"categories":[18],"tags":[],"_links":{"self":[{"href":"https:\/\/silicoded.com\/index.php\/wp-json\/wp\/v2\/posts\/2052"}],"collection":[{"href":"https:\/\/silicoded.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/silicoded.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/silicoded.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/silicoded.com\/index.php\/wp-json\/wp\/v2\/comments?post=2052"}],"version-history":[{"count":1,"href":"https:\/\/silicoded.com\/index.php\/wp-json\/wp\/v2\/posts\/2052\/revisions"}],"predecessor-version":[{"id":2053,"href":"https:\/\/silicoded.com\/index.php\/wp-json\/wp\/v2\/posts\/2052\/revisions\/2053"}],"wp:attachment":[{"href":"https:\/\/silicoded.com\/index.php\/wp-json\/wp\/v2\/media?parent=2052"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/silicoded.com\/index.php\/wp-json\/wp\/v2\/categories?post=2052"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/silicoded.com\/index.php\/wp-json\/wp\/v2\/tags?post=2052"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}