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
Originally a foreign source (technicalanalysisengine src 1.25) internal calculation of the EMA is:var copyinputvalues = input. ToList ();for (int i = period; I {var resultvalue = (Copyinputvalues[i]-returnvalues.last ()) * multiplier +
The C # Implementation of EMA computing (c # Exponential Moving Average (EMA) indicator ),
Originally, the external source code (TechnicalAnalysisEngine src 1.25) internally calculates the EMA as follows:
Var copyInputValues = input. ToList ();
For (
First, 5th the meaning of the moving average1, 5th EMA is the weighted average price of the five-day closing price, corresponding to the stock price, the index of the 5th moving Average (MA5).2, 5th, the EMA is a strong share of the lifeline , the
There are many kinds of cycle options for EMA systems, which are used by investors from 3rd to hundreds of days. But in the end should be a few days of the average line to judge the reference is more effective, this problem has plagued most
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
1, 30 trading days, the share price fell to half of the stock: XG: (HHV (c,30)-c)/HHV (c,30) >0.5; 2, today's volume is 5 days on average twice times moreXg:v>ma (v,5) * *; Amount of shrinkage Vol/ma (vol,10) 3, within two days, the cumulative fall
Time Domain Analysis and illustration Ema. timingdesigner. v9.2
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A good formula can save a lot of dash analysis time here to teach you a big smart self-coding indicators and intelligent stock selection function to select the method of short-term profit."Formula entry"The first step is to open the big wisdomThe
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
Facade Pattern)
Facade mode definition:
The facade mode is also called the appearance mode, which is a common encapsulation mode. It defines that the external communication between a sub-system and its internal communication must be performed
First, 10th the essence of the moving average1, 10th moving average is a short-term moving average, is the lifeline of short-term, is an important reference index operation.2, in the upward trend, the 10th moving average is a strong support line.3.
Can I move the indicators of traditional market software?Yes, and moving here is also very easy. Our stock Auto Trading software already provides some basic functions.
So far, the functions provided by our stock Auto Trading software include:
Ma
InVimer's App World [http://www.vimer.cn] saw thisArticle, Have a deeper understanding of macro, so reprinted for later learning.
================ The following is the reprinted content ====================
I encountered a problem at work
Today, consider the application of the common EMA algorithm. In various trading software, we can often see MA indicator,EMA indicator and SMA indicator. First explain SMA Two semantics, if you are directly searching for SMA indicators in Baidu,
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
Before the overall backtesting
" "================================================================================ General backtesting before ====================== ==========================================================" "#What to do before
The following is a macd formula.
DIFF: EMA (close, short)-EMA (close, long );DEA: EMA (diff, M );Macd: 2 * (DIFF-DEA), colorstick;
Its variables can be directly added and subtracted * division, but we need to know that the close in it is actually
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