ema calculation formula

Ema represents the exponential smoothing moving average, and its function is defined as Y = EMA (x, n) Then y = [2 * x + (N-1) * y']/(n + 1), where y' indicates the value of Y in the previous cycle. Calculate the n-day exponent smoothing moving

Mean value algorithm of MA, EMA, SMA, DMA, TMA, WMA6MA, EMA, SMA, DMA, TMA, WMA6 average algorithms are often used in various indicator formulas, but most beginners may not understand their specific differences, organized as follows.MA (x,n) simple

EXPMA (exponential moving Average) translates exponential smoothed moving average, referred to as EMA,The average day price X's N daily exponential smoothed moving averages, in the stock formula is generally expressed as: EMA (X,n), where X is the

Smoothing, similarities, and differences average-macd Macd indicators, also known as exponential smoothing, similarities and differences, and moving averages, were created by Gerald apple, it is a technical analysis tool used to judge the stock

The exponential smoothing, similarities, and differences mean line (macd) is developed based on the moving average line. It uses two different speeds (a short-term moving average line with a fast change rate, the exponential smoothing moving average

Types of moving AveragesThe moving average can be divided into "arithmetic moving average", "weighted moving average", "exponential smoothed moving average" three kinds.1. Arithmetic moving average (MA)The arithmetic moving average is a simple and

        MACD called is developed from a double exponential moving average, with a fast exponential moving average (EMA12) minus the slow exponential moving average (EMA26) to get the fast line dif, then 2x (Fast line Dif-dif's 9th weighted moving

In our project, if it is a process or a number of modules involved in computing, is there a need for dynamic computing.   For example, we read a formula from the configuration, for example, the simplest sin (A) + cos (B), how do you implement

[Reprint] Tongda letter Plug-in stock (based on the Access letter plug-in programming code simple Analysis)Original Address:Access letter Plug-in stock selection (based on the Access letter plug-in programming code simple Analysis)Harbin Cat

introduction of EMA 1, Evolutionary arithmetic average (weighted equal)-> weighted average (weighted unequal)-> moving average (about is only to take the most recent N-th data for calculation)-> bulk Normalization (BN) and various optimization