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Bio

Oleksandr is an algorithmic trading and financial machine learning investment professional. He is the CIO at London-based quantitative hedge fund – Principia Invest and co-founder and Head of Consulting at Hudson and Thames Quantitative Research.
Oleksandr’s scientific papers on quantitative finance and financial machine learning topics were published in several well-known scientific journals including Journal of Financial Data Science.

How (not) to Apply ML in Finance: Industry use cases

AI for Business and Products

There is a well-known misconception that financial machine learning applications are mostly about predicting the price of an asset. As a result, the majority of investment professionals were disappointed with the applications of ML techniques in finance. In the meantime, those who apply AI for investment management in the right way achieve way better performance compared to their peers. In this lecture, I would like to show several examples of successful applications of ML in finance as well as several cases where AI applications lead to overfitting and poor out-of-sample performance.

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    Free

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    ₴0

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    Base

    Base

    1000

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    ₴1000

    Full

    Full

    1500

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    ₴1500

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