Main goal

My main goal is to provide readers with the knowledge and tools to conduct their own quantitative financial research, with a focus on ML and AI techniques and practical implementation. I believe in providing transparent knowledge and practical examples instead of promoting questionable strategies.

What I do differently

Unlike others, I focus on teaching you how to perform research and invent strategies independently. The aim is to provide you with the necessary skills and understanding, enabling you to make informed investment decisions.

Value I offer

In this newsletter, you will gain access to valuable resources such as selected research papers, educational materials, code samples, backtesting strategies and live implementation examples. I prioritize providing relative value to help you gain an edge in algorithmic investment strategies.

Expertise areas

I specialize in deep learning, algorithmic investment strategies, econometrics, and risk management. Based on these areas of expertise I want to provide practical knowledge and methodologies that can improve your investment approach.

About me

I hold a Ph.D. in the field and have a proven track record as a researcher, developer and published author. I have actively contributed to conferences and worked on significant projects, trying to stay up to date with the latest advancements of financial research and innovation.

Disclaimer

Beating the market is hard, if not nearly impossible. If someone has a profitable strategy, chances are they're not going to share it with you. Instead, try to come up with your own.

Note that the information provided on this newsletter is for educational purposes only and should not be considered as financial advice. It's important to conduct thorough research or seek professional guidance before making any investment decisions.

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To find out more about the company that provides the tech for this newsletter, visit Substack.com.

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Predictive Analytics for Algorithmic Investment Strategies

People

PhD, Quantitative Researcher and Developer. Focusing on Deep Learning applications for Algorithmic Trading and Risk Management. Inventing and implementing trading and risk models in Python and R.