Webinar

AI in Finance: Using AI to Develop Investment Strategies

Investment firms are always looking to gain a competitive advantage in the market with their investment strategies by using various models and data sources. In this 45-min webinar, we explore the use of machine and deep learning to build trading strategies and backtest these strategies for further analysis.

7 July 2022
|
11:00 - 12:00

Overview

Investment firms are always looking to gain a competitive advantage in the market with their investment strategies by using various models and data sources. In this 45-min webinar, we explore the use of machine and deep learning to build trading strategies and backtest these strategies for further analysis.Topics of interest:

  • Developing machine and deep learning models in finance
  • Setting up a repeatable workflow for building trading strategies
  • Rapidly backtesting and evaluating models

Who Should Attend

  • Portfolio Managers
  • Quantitative Analysts
  • Financial Data Scientists
  • Investment Analysts
  • Researchers in finance
  • Algorithmic Traders

About the Presenter

Thembelani Bheza is a consultant at Opti-Num Solutions supporting clients in financial services through development of optimal business function strategies. He attended the University of the Witwatersrand where he obtained his BSc Honours degree in Electrical Engineering. His interest in Artificial Intelligence was sparked by his final year project where he used deep learning techniques to classify cancer cells from images. He hopes to extend his reach by using these techniques to analyse and forecast financial markets.