Built a Stock-rating algorithm
Surya, 14, Raffles Institution
Built a stock-rating algorithm after attending our class on Data Analytics.
Intrigued by financial markets at the tender age of 14, Surya incorporates his knowledge of Python to formulate a stock-trading algorithm, after attending our Masterclass in Data Analytics and Media Insights.
Having just started his coding journey with our basic Python course in 2017, the Raffles Institution student has since progressed to the end of our basic Python series and learning C++ programming. Our ambitious student seeks to further refine his project which he has developed during the workshop with a graphical user interface (GUI) and full forecasting. He also seeks to draw on real-life market data, use machine learning to predict stock price behaviour and implement a feature where the program could scrape the web and build a database of events which may cause stock prices to change, and better advise users.
Besides the stock-trading algorithm, Surya is actively involved in various coding projects. He trains for the annual National Olympiad in Informatics (NOI) with Coding Lab. Outside of class, he reads on data structures and algorithms, and have created accounts on multiple competitive programming websites such as TopCoder, CodeForces, CodeChef and dunjudge.me.
