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Moving average crossover of a 15-day exponential close-price MA (red) crossing over a 50-day exponential close-price MA (yellow) In the statistics of time series, and in particular the stock market technical analysis, a moving-average crossover occurs when, on plotting two moving averages each based on different degrees of smoothing, the traces of these moving averages cross.
The Triple Exponential Moving Average (TEMA) is a technical indicator in technical analysis that 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 triple exponential smoothing which is not the case.
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" [1] [2] It attempts to remove the inherent lag associated with Moving Averages by placing more weight on recent values.
An exponential moving average (EMA), also known as an exponentially weighted moving average (EWMA), [5] is a first-order infinite impulse response filter that applies weighting factors which decrease exponentially. The weighting for each older datum decreases exponentially, never reaching zero. This formulation is according to Hunter (1986). [6]
The Michael J. Boskin Stock Index From January 2008 to December 2012, if you bought shares in companies when Michael J. Boskin joined the board, and sold them when he left, you would have a 22.0 percent return on your investment, compared to a -2.8 percent return from the S&P 500.
Digital pictures are convenient for sharing, but they don’t offer the same nostalgia as physical prints. If your Valentine likes to look through cherished memories, you can put together a ...
Exponential smoothing or exponential moving average (EMA) is a rule of thumb technique for smoothing time series data using the exponential window function. Whereas in the simple moving average the past observations are weighted equally, exponential functions are used to assign exponentially decreasing weights over time. It is an easily learned ...
You'll never find someone who loves Ragdoll cats like one woman does. The vet tech was so excited when she saw there was a Ragdoll on the schedule for that day.