Episode Description
In episode 547 of the Desire To Trade Podcast, you will be listening to an interview with professor and AI expert Dr. Matloob Khushi, sharing why he stopped believing in universal trading algorithms after spending years trying to build one. He walks through what he actually teaches his PhD students—and why most people claiming to trade with AI are really just feeding screenshots into a black box that's already seen tomorrow's prices. No hype, just the uncomfortable reality of what it takes to build something that actually holds up.
The video is also available for you to watch on YouTube.
Topics Covered In This Episode
- 00:00 Introduction
- 01:01 How he learned algo trading and his background with AI
- 03:22 Teaching trading: from basics to AI integration
- 05:08 Bridging discretionary trading and algorithms
- 08:11 Data utilization in AI trading
- 11:43 The complexity of AI in trading
- 13:11 Backtesting and confidence in algorithms
- 15:32 The hard truth about trading with AI
- 21:07 Continuous monitoring and emotional factors in trading
- 25:45 Algorithm management and broker considerations
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What one thing will you implement after listening to this podcast episode? Leave a comment below, or join me in the Facebook group!
How to find Dr. Matloob KhushiWhat one thing will you implement after listening to this podcast episode? Leave a comment below, or join me in the Facebook group!