Search results
Results from the WOW.Com Content Network
Fractal branching of trees. Fractal analysis is assessing fractal characteristics of data.It consists of several methods to assign a fractal dimension and other fractal characteristics to a dataset which may be a theoretical dataset, or a pattern or signal extracted from phenomena including topography, [1] natural geometric objects, ecology and aquatic sciences, [2] sound, market fluctuations ...
Williams %R, or just %R, is a technical analysis oscillator showing the current closing price in relation to the high and low of the past N days (for a given N). It was developed by a publisher and promoter of trading materials, Larry Williams .
Bill M. Williams (1932–2019) [1] was an American trader and author of books on trading psychology, technical analysis, and chaos theory [2] in trading the stock, commodity, and foreign exchange (Forex) markets. His study of stock market data led him to develop a number of technical analyses that identify trends in the financial markets.
The Market Facilitation Index [1] (MFI) is the creation of Bill Williams. The indicator endeavors to establish the effectiveness of price movement by computing the price movement per volume unit. This is accomplished by subtracting the day's low from the high and dividing the result by the total volume. (See below)
In statistics and research design, an indicator is an observed value of a variable, or in other words "a sign of a presence or absence of the concept being studied". [1] Just like each color indicates in a traffic lights the change in the movement.
The seven states of randomness in probability theory, fractals and risk analysis are extensions of the concept of randomness as modeled by the normal distribution. These seven states were first introduced by Benoît Mandelbrot in his 1997 book Fractals and Scaling in Finance, which applied fractal analysis to the study of risk and randomness. [1]
Grassberger and Procaccia introduced the technique in 1983; [1] the article gives the results of such estimates for a number of fractal objects, as well as comparing the values to other measures of fractal dimension. The technique can be used to distinguish between (deterministic) chaotic and truly random behavior, although it may not be good ...
In fractal geometry, the generalized Hurst exponent has been denoted by H or H q in honor of both Harold Edwin Hurst and Ludwig Otto Hölder (1859–1937) by Benoît Mandelbrot (1924–2010). [3] H is directly related to fractal dimension, D, and is a measure of a data series' "mild" or "wild" randomness. [4]