Financial Machine Learning. How (not) to apply ML in finance. Online meetup | DevsDay.ru

Financial Machine Learning. How (not) to apply ML in finance. Online meetup

Data Science UA

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On June 17 Oleksandr Proskurin will hold an online meetup, where he will tell about the use of ML algorithms to financial markets analysis.

Many practitioners are quite disappointed with ML applications to financial markets. We can see hundreds of articles describing how to build a neural network predicting the price of bitcoin for the next day, however very few researchers end-up with positive results. The key reason for bad out-of-sample results is the naive application of traditional algorithms predicting complex financial time series. Computer vision and NLP researchers use domain-specific algorithms and techniques so why would financial machine learning be an exception? On this webinar, Oleksandr will tell what are the techniques and algorithms used in financial ML and what are the key mistakes made by experienced researchers trying to predict financial markets.

All money for the purchased tickets will be donated for food kits for retirees to the Zhyttieliub Foundation. Price for one ticket = product set.
You can help thousands of Ukrainian pensioners stay home and buy more by the link.
Report language: Russian

Registration >>> https://bit.ly/2ABLaeW
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Oleksandr Proskurin is a Founder and CIO of Machine Factor Technologies, company consulting asset managers in financial machine learning applications, and algorithmic trading. His previous experience includes more than 4 years working in the hedge fund industry, researching and implementing volatility and commodity trading strategies using futures, options, and leveraged ETFs. As a part of Machine Factor Technologies team, Oleksandr develops various algorithmic trading strategies using ML and AI algorithms. Oleksandr is also the co-author of Mlfinlab package — an open-source library that implements various machine learning tools used in investment strategies research. Right now Mlfinlab is Github's top 7 algorithmic trading packages.

Prices:

Until June 10 — 200 UAH.
From June 11 — 250 UAH
All money for the purchased tickets will be donated for food kits for retirees to the Zhyttieliub Foundation.

Discounts:

5% — from 2 tickets
7% — from 3 tickets
10%— from 5 tickets

Registration >>> https://bit.ly/2ABLaeW


Организатор: Data Science UA

Команда Data Science UA - организатор масштабной конференции по Data Science. Мы собираем лучших специалистов одного из наиболее популярных и востребованных IT-трендов современности.
Наша главная цель заключается в развитии Data Science Community в Украине для обмена опытом и знаниями.
Перспективы развития проекта масштабны — создания комьюнити и обучения нового поколения Data Scientists в Украине. 

Мы открыли новое направление — AI R&D Center в Украине. Решение для иностранных компаний, которые хотят сохранить качество работы и минимизировать затраты. Мы организовуем поддержку всех процессов с первого дня.

Больше о Data Science UA на сайте data-science.com.ua

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On June 17 Oleksandr Proskurin will hold an online meetup, where he will tell about the use of ML algorithms to financial markets analysis. Many practitioners are quite disappointed with ML applications to financial markets. We can see hundreds of articles describing how to build a neural network predicting the price of bitcoin for the next day, however very few researchers end-up with positive results. The key reason for bad out-of-sample results is the naive application of traditional algorithms predicting complex financial time series. Computer vision and NLP researchers use domain-specific algorithms and techniques so why would financial machine learning be an exception? On this webinar, Oleksandr will tell what are the techniques and algorithms used in financial ML and what are the key mistakes made by experienced researchers trying to predict financial markets. All money for the purchased tickets will be donated for food kits for retirees to the Zhyttieliub Foundation. Price for one ticket = product set.You can help thousands of Ukrainian pensioners stay home and buy more by the link.Report language: Russian Registration >>> https://bit.ly/2ABLaeW------------------------ Oleksandr Proskurin is a Founder and CIO of Machine Factor Technologies, company consulting asset managers in financial machine learning applications, and algorithmic trading. His previous experience includes more than 4 years working in the hedge fund industry, researching and implementing volatility and commodity trading strategies using futures, options, and leveraged ETFs. As a part of Machine Factor Technologies team, Oleksandr develops various algorithmic trading strategies using ML and AI algorithms. Oleksandr is also the co-author of Mlfinlab package — an open-source library that implements various machine learning tools used in investment strategies research. Right now Mlfinlab is Github's top 7 algorithmic trading packages. Prices: Until June 10 — 200 UAH.From June 11 — 250 UAHAll money for the purchased tickets will be donated for food kits for retirees to the Zhyttieliub Foundation. Discounts: 5% — from 2 tickets7% — from 3 tickets10%— from 5 tickets Registration >>> https://bit.ly/2ABLaeW Организатор: Data Science UA Команда Data Science UA - организатор масштабной конференции по Data Science. Мы собираем лучших специалистов одного из наиболее популярных и востребованных IT-трендов современности. Наша главная цель заключается в развитии Data Science Community в Украине для обмена опытом и знаниями. Перспективы развития проекта масштабны — создания комьюнити и обучения нового поколения Data Scientists в Украине.  Мы открыли новое направление — AI R&D Center в Украине. Решение для иностранных компаний, которые хотят сохранить качество работы и минимизировать затраты. Мы организовуем поддержку всех процессов с первого дня. Больше о Data Science UA на сайте data-science.com.ua
2020-06-17T00:00:00.0000000
2020-06-17T00:00:00.0000000
Financial Machine Learning. How (not) to apply ML in finance. Online meetup
Data Science UA
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