Podcast: Deep Learning for Financial Trading with Sofien Kaabar

ODSC - Open Data Science
2 min readMay 8, 2024

Learn about cutting-edge developments in AI and Data Science from the experts who know them best on ODSC’s Ai X Podcast. Each week we release an interview with a leading expert, core contributor, experienced practitioner, or acclaimed instructor who is helping to shape the future of the AI industry through their work or research.

Sofien Kaabar is a machine learning expert, institutional market strategist, and financial trader, specializing in technical and quantitative trading strategies. He is also the author of several books including Mastering Financial Pattern Recognition and Deep Learning for Finance.

In this episode, Sofien Kaabar will discuss the role of deep learning and machine learning for finance, through the lens of his recent book Deep Learning for Finance.

You’ll explore a whole range of topics including machine learning for finance, featuring engineering, time series prediction strategies, challenges such as backtesting, overfitting, and non-stationary data, and much more.

Start listening now to get the full impact of Sofien’s knowledge and insights and don’t forget to subscribe to ODSC’s Ai X Podcast to ensure you never miss an episode. Finally, like what you hear? Leave a review or share it with a friend! You can listen on Spotify, Apple, SoundCloud, and Castbox.

More Info:

Learn more about Sofien Kaabar’s book here.

You can also explore the code discussed in Deep Learning for Finance on GitHub.

Learn more about Sofien Kaabar and read more about his writings on his site here.

Learn more about the Saint Louis Fed, an open-data source where you can download 823000 economic time series from 114 sources. here.

Explore Pinescript here and MQL5 here which are specialized programming languages used by traders to create trading functions, backtest their trading strategies, and evaluate performance

Originally posted on OpenDataScience.com

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