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Double Exponential Moving Average
The Double Exponential Moving Average (DEMA) indicator was introduced in January 1994 by Patrick G. Mulloy, in an article in the " Technical Analysis of Stocks & Commodities" magazine: "Smoothing Data with Faster Moving Averages" It attempts to remove the inherent lag associated with Moving Averages by placing more weight on recent values. The name suggests this is achieved by applying a double exponential smoothing which is not the case. The name double comes from the fact that the value of an EMA (Exponential Moving Average In statistics, a moving average (rolling average or running average) is a calculation to analyze data points by creating a series of averages of different subsets of the full data set. It is also called a moving mean (MM) or rolling mean and is ...) is doubled. To keep it in line with the actual data and to remove the lag the value "''EMA of EMA''" is subtracted from the previously doubled ema. The formula is: :\textit = 2 \times \textit - \textit(\textit ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Technical Analysis Of Stocks & Commodities
''Technical Analysis of Stocks & Commodities'' is an American, Seattle-based monthly magazine about commodity futures contracts, stocks, options, derivatives, and forex. History and profile ''Technical Analysis of Stocks & Commodities'' was founded in 1982 by Boeing mechanical engineer Jack Hutson who wanted people to learn about technical analysis. Hutson had a brief foray in the stock market in the late 1960s and bought two additional houses in the 1970s before returning to securities in 1980. Using his engineering and analytic background, he for hours delved into trading concepts by reading books in library. He purchased a personal computer system for $7,500 to allow him to automatically generate a chart that would take hours if created manually. When the software for a specific technical concept did not work, Hutson asked Boeing colleague and math doctorate Anthony Warren to collaborate with him to fix the program. After they corrected the software, a technicians congregation ga ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Moving Average
In statistics, a moving average (rolling average or running average) is a calculation to analyze data points by creating a series of averages of different subsets of the full data set. It is also called a moving mean (MM) or rolling mean and is a type of finite impulse response filter. Variations include: simple, cumulative, or weighted forms (described below). Given a series of numbers and a fixed subset size, the first element of the moving average is obtained by taking the average of the initial fixed subset of the number series. Then the subset is modified by "shifting forward"; that is, excluding the first number of the series and including the next value in the subset. A moving average is commonly used with time series data to smooth out short-term fluctuations and highlight longer-term trends or cycles. The threshold between short-term and long-term depends on the application, and the parameters of the moving average will be set accordingly. It is also used in econo ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Triple Exponential Moving Average
The Triple Exponential Moving Average (TEMA) indicator was introduced in January 1994 by Patrick G. Mulloy, in an article in the '' Technical Analysis of Stocks & Commodities'' magazine: "Smoothing Data with Faster Moving Averages" It attempts to remove the inherent lag associated to Moving Averages by placing more weight on recent values. The name suggests this is achieved by applying a triple exponential smoothing which is not the case. The name triple comes from the fact that the value of an EMA (Exponential Moving Average) is triple. To keep it in line with the actual data and to remove the lag the value "''EMA of EMA''" is subtracted 3 times from the previously tripled ema. Finally "''EMA of EMA of EMA''" is added. The formula is: :\textit = 3 \times \textit - 3 \times \textit(\textit) + \textit(\textit(\textit)) Because EMA(EMA(EMA)) is used in the calculation, TEMA needs 3 × period - 2 samples to start producing values in contrast to the period samples needed by a r ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
