Deep Learning for Financial Trading with Sofien Kaabar ODSC's Ai X Podcast
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- Technology
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!
Sofien Kaabar is a machine learning expert and 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 the aforementioned Deep Learning for Finance.
TOPICS
1- The importance of feature engineering machine learning for finance
2- Using deep learning for financial trading
3- Deep Learning for Time Series Prediction
4- The challenges of using deep learning for financial trading
5- Backtesting explained and the challenges in backtesting
6- Deep Reinforcement Learning for Time Series Prediction.
fractional differentiation and forecasting thresholds
7- The exponential error issue of time series over multiple periods
8- Advanced Techniques and Strategies for financial prediction
9- Ensemble models, random forest, and XGBoost
10- Financial Market Drivers and Risk Management
11- Behavioral finance, cognitive bias, and emotional bias
12- Getting started with deep learning for financial trading
13- Avoiding the pitfall of online trading model marketplaces
SHOW NOTES
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 on 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 language used by traders to create trading functions, backtest their trading strategies and evaluate performance
This episode was created in partnership with:
Ai+ Training https://aiplus.training/
Home to hundreds of hours of on-demand, self-paced AI training, ODSC interviews, free webinars, and certifications in in-demand skills like LLMs and Prompt Engineering
And ODSC https://odsc.com/
The Leading AI Training Conference, featuring expert-led, hands-on workshops, training sessions, and talks on cutting-edge AI topics and
Never miss an episode, subscribe now!
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!
Sofien Kaabar is a machine learning expert and 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 the aforementioned Deep Learning for Finance.
TOPICS
1- The importance of feature engineering machine learning for finance
2- Using deep learning for financial trading
3- Deep Learning for Time Series Prediction
4- The challenges of using deep learning for financial trading
5- Backtesting explained and the challenges in backtesting
6- Deep Reinforcement Learning for Time Series Prediction.
fractional differentiation and forecasting thresholds
7- The exponential error issue of time series over multiple periods
8- Advanced Techniques and Strategies for financial prediction
9- Ensemble models, random forest, and XGBoost
10- Financial Market Drivers and Risk Management
11- Behavioral finance, cognitive bias, and emotional bias
12- Getting started with deep learning for financial trading
13- Avoiding the pitfall of online trading model marketplaces
SHOW NOTES
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 on 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 language used by traders to create trading functions, backtest their trading strategies and evaluate performance
This episode was created in partnership with:
Ai+ Training https://aiplus.training/
Home to hundreds of hours of on-demand, self-paced AI training, ODSC interviews, free webinars, and certifications in in-demand skills like LLMs and Prompt Engineering
And ODSC https://odsc.com/
The Leading AI Training Conference, featuring expert-led, hands-on workshops, training sessions, and talks on cutting-edge AI topics and
Never miss an episode, subscribe now!