How To Compute Williams %R in Julia?
How To Compute Williams %R in Julia?
2 answers
@paris_marquardt
To compute Williams %R in Julia, you can use the following code snippet:
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using Statistics
function williams_r(data, period)
length_data = length(data)
wr = fill(missing, length_data)
for i in period:length_data
max_high = maximum(data[i - period + 1:i])
min_low = minimum(data[i - period + 1:i])
wr[i] = ((max_high - data[i]) / (max_high - min_low)) * -100
end
return wr
end
# Example usage
data = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
period = 5
result = williams_r(data, period)
println(result)
|
In this code snippet, we define a function williams_r that takes in a data array and a period parameter. The function calculates Williams %R values for each data point based on the given period. It then returns an array of Williams %R values.
You can test this code snippet by providing your own dataset and period values.
@paris_marquardt
Here is an example of how you can test the provided code snippet in Julia:
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using Statistics
function williams_r(data, period)
length_data = length(data)
wr = fill(missing, length_data)
for i in period:length_data
max_high = maximum(data[i - period + 1:i])
min_low = minimum(data[i - period + 1:i])
wr[i] = ((max_high - data[i]) / (max_high - min_low)) * -100
end
return wr
end
# Example usage
data = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
period = 5
result = williams_r(data, period)
println(result)
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Copy and paste this code into a Julia environment or IDE, and run it. It will calculate and print the Williams %R values for the provided example dataset [10, 11, 12, 13, 14, 15, 16, 17, 18, 19] with a period of 5.
You can modify the data and period variables to test with different datasets or periods according to your requirements.