Ever thought of the forces that drive and influence Wall Street in particular and the stock market in general?
Programming plays a big role in designing the tools that drive both Wall Street and the stock market. Investment banks do not employ accountants whose only jobs are to keep pressing their keyboards all day. Instead, investment banks have become technology firms. They already have thousands of in house technologists, and they continue to prioritize IT hiring over most other divisions. IT specialists with a deep knowledge of programming languages are in demand in the stock market.
Which programming languages are most in demand in the banking sector?
Java has been Wall Street’s most in-demand programming language for years. Java developers are highly sought after since Java is found in almost every application and platform. Java is well-suited for modelling and simulations. It can also be used in web applets design.
Second place goes to Python, which is used widely in analytics. Python is also known for being easy to learn and use thanks to its straightforward syntax and the existence of many online resources. Its community continues to grow, which means that every day there’s more help available so you can progress faster. Ten lines of Python code can replace many more lines of code in languages like C++ or Java. Python code is also less error prone since there are fewer syntax errors to worry about.
C++ is third in the list, maintaining its longstanding place as the most efficient language that can handle high volumes of data. C++ is used worldwide, which means learning resources are available for developer communities in almost every language. C#, which is closely related to C++, can be used in a variety of projects like data simulations and modeling. Other powerful and popular languages include SQL, PHP, and ETL.
Today’s modern big data-related tools like Hadoop, Spark, Hive, Impala, and MapReduce are all gaining a lot of attention as the stock industry follows along with other industries by moving towards big data. There is a lot demand for big data and data processing technologies as companies deal with growing mountains of data daily.
You can easily find the stock market data for the last five years broken down by day, hour, and even five-minute increments. All this data is becoming more readily available on the web. You can use it at your convenience to train your predictive algorithms.
Still thinking that programming cannot be affiliated with stock market? You should think again. Programming can lead you down unexpected and exciting paths. Start your learning journey with RoboGarden now. Register for free.
