This article dives deep into its syntax, overloads, and practical applications of `array.sum()`

.

## Syntax and Overloads

The `array.sum()`

function in Pine Script is designed to calculate the sum of elements within an array. It supports two primary data types: `int`

(integer) and `float`

(floating point numbers). Depending on the array’s data type, the function can return a sum in the form of a `series float`

or a `series int`

. Here’s a look at the syntax:

`array.sum(id) → series float`

`array.sum(id) → series int`

### Arguments

`id`

(`array<int/float>`

): Represents the array object whose elements are to be summed up.

## Example

To elucidate the functionality of `array.sum()`

, let’s consider a practical example:

//@version=5 indicator("Sum Array Example") sumArray = array.new_float(0) for index = 0 to 9 array.push(sumArray, close[index]) plot(array.sum(sumArray))

### Walkthrough

`sumArray = array.new_float(0)`

: Initializes an empty floating-point array.`for index = 0 to 9`

: Iterates through the last 10 bars.`array.push(sumArray, close[index])`

: Adds the closing price of each bar to`sumArray`

.`plot(array.sum(sumArray))`

: Computes and plots the sum of the elements in`sumArray`

.

## Key Features and Takeaways

**Function Useability**: The`array.sum()`

function simplifies the process of aggregating values in an array, making it invaluable for summarizing data points within a given dataset.**Syntax and Application**: With support for`int`

and`float`

arrays, it caters to a wide range of numerical data types, ensuring flexibility in its application.**Practical Example**: Through the example provided, it’s clear how`array.sum()`

can be leveraged to sum up a series of closing prices, demonstrating its practicality in financial data analysis.

In conclusion, the `array.sum()`

function in Pine Script is a powerful tool for data aggregation. Its ability to handle both integers and floating-point numbers makes it versatile, and when applied as shown in the example, it can significantly aid in the analysis and visualization of financial data.