Michael Himmel is a Founding Partner, Portfolio Manager and Director of AI Research for Essex Asset Management.
He has been actively trading and designing systems since the 1980s, managing the No.1 Global Macro Hedge fund in the world in 1999.
He now uses large doses of AI and Machine Learning in his current practice.
In this week’s episode we discuss Artificial Intelligence, the challenges and applications of AI in trading, criticisms of Machine Learning, event studies and the importance of selecting datasets. He also shares insights from starting out as a runner for some of the biggest players in the 1980s, to managing the no. 1 global macro hedge fund in 1999 to using AI in his practise today.
Even if you’re not into AI and machine learning, the stories and insights Michael shares are invaluable.
Lessons from running orders for some of the big players in the 1980s
Transitioning from discretionary to systematic trading
The challenges of applying Artificial Intellige