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  2. Moving average crossover - Wikipedia

    en.wikipedia.org/wiki/Moving_average_crossover

    This indicator uses two (or more) moving averages, a slower moving average and a faster moving average. The faster moving average is a short term moving average. For end-of-day stock markets, for example, it may be 5-, 10- or 25-day period while the slower moving average is medium or long term moving average (e.g. 50-, 100- or 200-day period).

  3. Double exponential moving average - Wikipedia

    en.wikipedia.org/wiki/Double_exponential_moving...

    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) 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.

  4. Triple exponential moving average - Wikipedia

    en.wikipedia.org/wiki/Triple_exponential_moving...

    The 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] The same article also introduced another EMA related indicator: Double exponential moving average (DEMA).

  5. Moving average - Wikipedia

    en.wikipedia.org/wiki/Moving_average

    Smoothing of a noisy sine (blue curve) with a moving average (red curve). In statistics, a moving average (rolling average or running average or moving mean [1] or rolling mean) is a calculation to analyze data points by creating a series of averages of different selections of the full data set.

  6. Exponential smoothing - Wikipedia

    en.wikipedia.org/wiki/Exponential_smoothing

    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 ...

  7. Zero lag exponential moving average - Wikipedia

    en.wikipedia.org/wiki/Zero_lag_exponential...

    The idea is do a regular exponential moving average (EMA) calculation but on a de-lagged data instead of doing it on the regular data. Data is de-lagged by removing the data from "lag" days ago thus removing (or attempting to) the cumulative effect of the moving average.

  8. Trix (technical analysis) - Wikipedia

    en.wikipedia.org/wiki/Trix_(technical_analysis)

    Smooth that series using another N-day EMA. Smooth a third time, using a further N-day EMA. Calculate the percentage difference between today's and yesterday's value in that final smoothed series. Like any moving average, the triple EMA is just a smoothing of price data and, therefore, is trend-following. A rising or falling line is an uptrend ...

  9. McClellan oscillator - Wikipedia

    en.wikipedia.org/wiki/McClellan_Oscillator

    By calculating McClellan Oscillator as the difference between 19-day EMA and 39-day EMA of advances minus declines, we apply MACD principle to Breadth sentiment - to see changes in shorter-term Breadth sentiment. Therefore, crossovers of McClellan Oscillator and zero center line around which it oscillates would have the following meaning: