by Apoorva Bellapu
January 23, 2022
Trading, as a profession, has grabbed eyeballs everywhere. With the advancement in technology, the skills needed for traders are changing. If you want to make a career in trading, you need to be well versed in certain programming languages. Keeping this in mind, we’ve come up with the top 10 programming languages that traders should learn in 2022. Take a look!
Python is an open-source programming language that follows a functional programming approach. One of the many reasons Python is on the list of the top 10 programming languages that traders should learn in 2022 is because you can extend Python code into trading algorithms that are easy to write. Here there is no need to create as much code as other languages do when creating algorithmic trading programs.
Java is one of the most sought after programming languages for traders. Data modelling, simulations, and low-latency execution are some of the many areas where Java is nothing short of a boon. Java is easy to use, flexible, easy to learn and offers the competitive advantage of project diversity and high wages. Java’s high security is another reason why IT companies like Netflix, Amazon, Twitter and more choose to work with it.
Scala is yet another widely used programming language that has gained immense importance in the financial and FinTech industries. From data architecture to cloud-based financial platforms, Scala is proving to be everyone’s favorite. This language has a concise and compact code that supports both object-oriented and functional programming.
C++, a mid-level programming language, is a boon for traders, as the components of High-Frequency Trading (HFT), which are latency sensitive, are mostly developed in C++. This is because C++ is extremely efficient at handling large amounts of data. Moreover, this programming language is used for the legacy systems of many banks.
This low-level platform-neutral object-oriented programming language has quite a few similarities with that of Java and C++. C# allows one to create complex development projects by simplifying the code and saving development time. This is general purpose object oriented programming that benefits traders in every way.
It is a known fact that any good trading algorithm should be extensively tested using sample data. This is where R comes into play. R plays a vital role when it comes to designing programs that generate trading signals and maximize the returns of the strategy. All in all, R is that one open source language that is widely used in statistics and data analysis.
PHP is yet another popular general purpose server-side programming language that plays a key role in the field of data analytics – something that traders are involved in on a large scale. PHP is stable, secure, highly scalable and helps developers write test cases and run testing smoothly.
Another very popular programming language for traders is SQL. It is because this language has the potential to handle the large amount of data that our trading industry produces. SQL can analyze historical data, identify patterns and predict future performance using all that collected information.
MATLAB has gained wide recognition for its importance in floating point linear algebra. As for trading, this programming language can generate plots and other such interactive tasks, which is why it is preferred by a majority of traders out there.
Share this article
Do that thing to share
About the author
More info about author