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Fractal geometry gets its fractal component derived from the Latin word "fractus" which means broken or fractured. Benoit Mandelbrot is credited with coining the phrase "fractal" prior to 1980. Fractal geometry is used to describe shapes which Euclidean geometry simply cannot because of their "non-regular" characteristics.

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http://trading-u.com/blog/index.php/archives/293

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Fractal Geometry, pionereed by Benoit Mandelbrot, is the mathematics of size, shape and special relationships. Where it differs from standard (that is, Euclidean) geometry, is that it deals with shapes that are, by definition, infinitely irregular.

A fractal is a complex shape which, when viewed in finer and finer detail, shows itself to be made up of ever smaller parts, similar to the original.

Fractal Geometry has been employed to describe diverse behaviour in economics, finance, the stock market, astronomy, and computer science.

In Forex, fractal geometry has to do with the fact that most chart patterns will work on multiple time frames. Similar patterns repeat themselves throughout different trading time frames such as hourly, daily, weekly, etc.

Applying it in Forex trading means observing the patterns that take place at market reversals and trading those patterns as they repeat in your chosen timeframe. Within every monthly reversal pattern is a weekly reversal pattern that has within it a daily reversal pattern that has within it an hourly reversal pattern, and so on.

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Geometry theory that refers to the fact that certain irregular objects have a fractal number of dimensions. In other words, an object cannot fill an integer number of dimensions

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A fractal is "a rough or fragmented geometric shape that can be split into parts, each of which is (at least approximately) a reduced-size copy of the whole," a property called self-similarity.

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mathematics) the geometry of fractals; "Benoit Mandelbrot pioneered fractal geometry"

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A Fractal is generally "a rough or fragmented geometric shape that can be split into parts, each of which is (at least approximately) a reduced-size copy of the whole," a property called self-similarity. The term was coined by Benoit Mandelbrot in 1975 and was derived from the Latin fractus meaning "broken" or "fractured." A mathematical fractal is based on an equation that undergoes iteration, a form of feedback based on recursion. A fractal often has the following features: * It has a fine structure at arbitrarily small scales. * It is too irregular to be easily described in traditional Euclidean geometric language. * It is self-similar (at least approximately or stochastically). * It has a simple and recursive definition. * It has a Hausdorff dimension which is greater than its topological dimension (although this requirement is not met by space-filling curves such as the Hilbert curve).

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Fractals are non-regular geometric shapes that have the same degree of non-regularity on all scales. Just as a stone at the base of a foothill can resemble in miniature the mountain from which it originally tumbled down, so are fractals self-similar whether you view them from close up or very far away.

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Good article on it

Source(s):

http://olesiafx.com/ Bill.Williams.Trading.Chaos.Applying.Expert.Techni ques.To.Maximize.Your.Profits.pdf/3.4.stock- market.stock-investing.online-stock-trading.html

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A type of pattern used in technical analysis to predict a reversal in the current trend. A fractal pattern consists of five bars and is identified when the price meets the following characteristics:

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. In technical analysis, an indicator of the reversal of the previous trend. It is shown on a candlestick chart as a series of five candles, representing five trading days. A bullish fractal occurs when the lowest low of any trading day is represented by the middle candle, with two successively less low trading days on each side. This is seen as a buy signal. A bearish fractal occurs when the highest high of the five days is represented by the middle candle, with two successively less high trading days on each side. This is seen as a sell signal.

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The science of chaos represents considerably more than a new trading technique. It is a new way of viewing our world. This worldview is actually older than recorded history but, until the mid-1970s, we lacked the powerful computers or other equipment needed to deal with this worldview on a mathematical and functional basis. Chaos theory is the first approach that successfully models complex forms (living and nonliving) and turbulent flows with rigorous mathematical methodology.