,

@margarett

To compute the Simple Moving Average (SMA) in Julia, you can use the following code snippet:

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 |
using Statistics function simple_moving_average(data, window_size) sma = [] for i in window_size:length(data) push!(sma, mean(data[i-window_size+1:i])) end return sma end # Example usage data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] window_size = 3 sma_result = simple_moving_average(data, window_size) println(sma_result) |

In this code, we first import the `Statistics`

package to use the `mean`

function for computing average. We then define a function `simple_moving_average`

that takes two arguments - `data`

(an array of numbers) and `window_size`

(the number of data points to consider for computing the average).

Inside the function, we iterate through the data and calculate the average of the last `window_size`

data points using the `mean`

function. We store these averages in the `sma`

array and return it.

Finally, we provide an example usage of the function with sample data `data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]`

and a window size of 3. The computed Simple Moving Average is printed to the console.

How To Compute Simple Moving Average (SMA) in F#?

How To Compute Moving Average Convergence Divergence (MACD) using F#?

How To Calculate Moving Average Convergence Divergence (MACD) in Erlang?

How To Calculate Moving Average Convergence Divergence (MACD) in Golang?

How To Compute Chaikin Money Flow (CMF) using Julia?

How To Compute Moving Averages (MA) in F#?