Artificial Intelligence and Machine Learning in Trading (Part 1)

The economic significance of artificial intelligence (AI) is a fundamental question investors face. With the world’s top hedge funds using machine learning (ML) to find new investment opportunities, it is imperative for investors to know what kinds of financial applications may be leveraged by this constantly evolving technology. With the exponential growth in data, AI is arguably the best tool to ingest, decipher and learn the patterns of the financial markets.

In the first part of the programme, we will examine the various ways in which artificial intelligence could be used to improve investment outcomes by enhancing investor insights. The focus will be on how AI is being applied in major financial institutions and funds.

We start with the fundamentals of machine/deep learning so that the participant will have a strong foundation to understand how neural networks work and be able to extrapolate to more complicated use cases. As deep learning systems become increasingly complex, this will require a greater emphasis on the understanding of how the underlying algorithms work.

We then cover case studies using papers/books written by the top hedge funds and sell side banks. We will peek into how the world’s smartest minds in finance are modelling the financial markets, which is notoriously hard to mine due to their low signal to noise ratio.

*The SIDC reserves the right to amend the programme as deemed appropriate without prior notice