Exploring Algorithmic Trading In Rust

February 28, 2023

Introduction

Algorithmic trading is a form of automated trading that uses computer algorithms to determine when and how to trade financial instruments. It has become increasingly popular in recent years, as it allows traders to take advantage of market opportunities quickly and efficiently. In this blog post, we will explore the use of Rust for algorithmic trading, and discuss the advantages and disadvantages of using this language for such applications.

What is Rust?

Rust is a programming language developed by Mozilla Research. It is designed to be fast, reliable, and secure. It has been gaining popularity in recent years due to its focus on safety and performance. Rust also provides excellent support for concurrent programming, making it an ideal choice for applications that require high performance and scalability.

Advantages of Using Rust for Algorithmic Trading

The primary advantage of using Rust for algorithmic trading is its speed and reliability. Rust's focus on safety ensures that code written in the language will be free from bugs or other errors that could lead to unexpected results or losses. Additionally, its support for concurrent programming makes it well-suited for applications that require high performance and scalability. Finally, Rust's memory management system ensures that memory usage remains low even when running complex algorithms.

Disadvantages of Using Rust for Algorithmic Trading

Despite its many advantages, there are some drawbacks to using Rust for algorithmic trading as well. One major disadvantage is the lack of libraries available in the language compared to other languages such as Python or Java. Additionally, since Rust is a relatively new language, there may be fewer experienced developers available who are familiar with it compared to more established languages like C++ or Java. Finally, since the language is still evolving rapidly, code written today may need to be rewritten tomorrow if new features are added or existing ones changed significantly.

Conclusion

Overall, while there are some drawbacks to using Rust for algorithmic trading applications, its speed and reliability make it an attractive option for those looking to take advantage of market opportunities quickly and efficiently without sacrificing safety or performance. Its support for concurrent programming also makes it well-suited for applications that require high performance and scalability. For these reasons, we believe that Rust can be a great choice when considering which language to use for algorithmic trading applications.