Artificial Intelligence and Machine Learning in Trading (Part 2)

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 second part of the programme, we get our hands dirty and create our own neural networks. We cover a relatively mature subfield in AI, Natural Language Processing (NLP) that can classify the sentiment of financial text; an emerging one, Time Series Classification/Regression, which has previously been dominated by simpler machine learning methods; and lastly perform unsupervised clustering of stocks to identify anomalies/trading opportunities/risk management.

We will go through the end-to-end pipeline of building these models – from data collection/pulling to modelling and testing so the participant will be able to apply the templates to their own datasets/use cases.

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