[blackcat] L1 TradingView Array and Series Conversions

17 Jul 2023

Level 1

Background

It just so happens that I need some functions that can convert between the Series data type and the Array data type.

Function

Series is a unique data type of TradingView. By operating Series data, the algorithm can be simplified, which is very convenient. However, in high-level languages, Array is a basic data type that provides great flexibility and can be used to develop advanced algorithms. This is why TradingView introduces the Array data type. This script simply demonstrates how to convert between these two data types.

s2a function: Convert a TV series into an array.
a2s function: Convert an array into a TV series

Finally, Courtesy of Electrified for his "Average Lib":

Remarks

Feedbacks are appreciated.

23 Apr

Nota Keluaran

OVERVIEW

The [blackcat] L1 TradingView Array and Series Conversions script offers powerful tools for manipulating data within the Pine Script environment. It includes functions specifically designed to convert between arrays and series, enabling traders and developers to perform complex analyses and create customized indicators. This utility is invaluable for those looking to enhance their technical analysis capabilities on TradingView 📈🛠️.

FEATURES

Array to Series Conversion:

Function: array_to_series
Purpose: Transforms an array into a continuous series suitable for plotting and further analysis.
Parameters:
src: The input array whose elements need to be converted into a series.
Process:
Checks if the array has any elements; returns NA if empty.
Iterates over each element in the array, handling non-available (NA) values gracefully.
Constructs a series from the valid elements of the array.
Use Case: Ideal for transforming discrete data points into a smooth line plot for better visualization.
Series to Array Conversion:

Function: series_to_array
Purpose: Converts a series into an array, allowing for easier manipulation and storage.
Parameters:
src: The input series to be transformed into an array.
target_length: Specifies the desired number of elements in the resulting array.
omit_na: Optional boolean parameter to exclude NA values from the array.
Process:
Initializes an array based on whether omit_na is set.
Pushes each element of the series into the array while managing its size.
Ensures the array does not exceed the specified target_length.
Use Case: Useful for storing historical data or performing batch operations on series data.
Example Usage:

The script demonstrates how to use both conversion functions by taking the closing prices, converting them to an array, and then back to a series.
Plots the resulting series on the chart for visual verification, ensuring the conversions work as intended.

HOW TO USE

Importing the Script:

Add the script to your TradingView environment via the Pine Editor.
Save it under a recognizable name for easy access later.
Utilizing Functions:

Integrate the array_to_series function wherever you need to transform array data into a series format.
Apply the series_to_array function to convert series data into manageable arrays for further processing.
Customization:

Adjust the target_length and omit_na parameters in the series_to_array function to suit your specific analytical needs.
Modify the example code to fit different types of data (e.g., open prices, volume) for varied applications.
Visual Verification:

Plot the results using the plot function to visually confirm that the conversions maintain data integrity.
Experiment with different settings to see how they impact the plotted series.
Advanced Applications:

Combine these conversion functions with other technical indicators or custom algorithms to build comprehensive trading strategies.
Use the converted data for machine learning models or statistical analyses requiring structured inputs.

LIMITATIONS

Data Quality: The effectiveness of conversions relies heavily on the quality and continuity of the input data. Missing or inconsistent data can lead to inaccurate results.
Performance Considerations: Handling large datasets may slow down script execution. Optimize the script for efficiency when dealing with extensive historical data.
Handling NA Values: Proper management of NA values is crucial. Incorrect handling can disrupt subsequent analyses or plots.
Compatibility Issues: Ensure that the converted data aligns well with other scripts or indicators used concurrently to avoid conflicts or errors.

NOTES

Testing and Validation: Always validate the converted data against known benchmarks to ensure accuracy before deploying in live trading environments.
Documentation: Keep thorough documentation of your customizations and adjustments made during integration to facilitate future troubleshooting and enhancements.
Community Resources: Leverage community forums and resources for additional tips and best practices related to Pine Script development.

THANKS

Special thanks to Electrified for providing inspiration through his "Average Lib", which laid the groundwork for some functionalities included in this script 🤝. Additionally, gratitude goes out to all contributors who have shared their knowledge and expertise in the TradingView community, fostering innovation and collaboration among traders worldwide ⭐.