CascadiaPHP 2024

# trader_ema

(PECL trader >= 0.2.0)

trader_emaExponential Moving Average

### 说明

trader_ema(array `\$real`, int `\$timePeriod` = ?): array

### 参数

`real`

`timePeriod`

Number of period. Valid range from 2 to 100000.

### 返回值

Returns an array with calculated data or false on failure.

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### User Contributed Notes 5 notes

Ash Christos
5 years ago
`This method works fine. If you're finding that the EMA and SMA results are the same, the precision setting might still be the default or not tuned to your use case. (For example floats with more than 3 levels, sathoshi's, etc) # this is needed for 0.00XXXXZ levelsini_set( 'trader.real_precision', '8' );`
andy at siliconrockstar dot com
5 years ago
`The trader_ema() function works correctly if you understand what the second argument is. The second argument is used to group the values into overlapping periods. Within the periods, the numbers undergo a simple average calculation.So if you call trader_ema(\$array, 6), and your array only has six values, you're going to get back a simple average, because there is no previous data to weight the value.If you call trader_ema(\$array, 3), then your six array values will be grouped into four overlapping groups of three, and you'll get back four values, each representing the EMA for that period.Below is the output of trader_ema(array(1,2,2,1,3,4), 3) and trader_sma(array(1,2,2,1,3,4), 3). You can see the first value is the same for both the EMA and SMA calculations.trader_ema(array(1,2,2,1,3,4), 3)array(4) { [2]=> float(1.6666666667) [3]=> float(1.3333333333) [4]=> float(2.1666666667) [5]=> float(3.0833333333)}trader_sma(array(1,2,2,1,3,4), 3)array(4) { [2]=> float(1.6666666667) [3]=> float(1.6666666667) [4]=> float(2) [5]=> float(2.6666666667)}`
kazemi dot milad at gmail dot com
5 years ago
`trader_ema in wrong calculate value this return just simple moving avrage for get ema correct use this code\$number is data array and \$n is number of periodexample:\$number[0] => last value\$number[n] =>first valuefunction exponentialMovingAverage(array \$numbers, int \$n): array{ \$numbers=array_reverse(\$numbers); \$m = count(\$numbers); \$α = 2 / (\$n + 1); \$EMA = []; // Start off by seeding with the first data point \$EMA[] = \$numbers[0]; // Each day after: EMAtoday = α⋅xtoday + (1-α)EMAyesterday for (\$i = 1; \$i < \$m; \$i++) { \$EMA[] = (\$α * \$numbers[\$i]) + ((1 - \$α) * \$EMA[\$i - 1]); } \$EMA=array_reverse(\$EMA); return \$EMA;}`
-4
Anonymous
4 years ago
`As noted, this function simply doesnt work. It returns MA values.`
-12
manoj dot monu23 at gmail dot com
10 years ago
`the trader_ema() function does'nt work correctly , it calculate just average of last period entries. Follow the following code for trader_ema: function EMACalculator(\$limit,\$array){ \$EMA_previous_day = \$array[0]; //print_r(\$array); \$multiplier1 = (2/\$limit+1); \$EMA[]=array(); \$EMA = \$array[0]; \$Close= \$array[1]; while(\$limit){ //echo"EMA is \$EMA\n"; \$EMA = (\$Close - \$EMA_previous_day) * \$multiplier1 + \$EMA_previous_day; \$EMA_previous_day= \$EMA; \$limit--;}return \$EMA;}where \$limit accept the period of ema and \$array : accept array of data for ema calculation.`