Thalesians: Free Webinar: Yves Hilpisch: RL: From Games to Intraday Algorithmic Trading
Webinar
Wednesday, May 6, 2020 - 11:00 AM
Until: Wednesday, May 6, 2020 - 01:00 PM
(Adjusted for timezone: America/New_York)
Categories
PLEASE NOTE THAT THIS WEBINAR WILL START ON WEDNESDAY, 6 MAY, 2020, AT 4 PM ***BST - LONDON TIME*** (11 AM ***EDT - NY TIME***)
TITLE: Reinforcement Learning: From Playing Games to Intraday Algorithmic Trading
ABSTRACT:
This talk introduces Q-learning as a successful algorithm in reinforcement learning. It illustrates the application of a DQL agent to a game from the OpenAI Gym environment. It also illustrates how the same DQL agent can learn to trade financial instruments. The examples are based on self-contained Python code. It is also shown how such a trading bot can be easily deployed to trade algorithmically intraday based on The AI Machine (http://aimachine.io).
BIOGRAPHY
Dr. Yves J. Hilpisch is founder and CEO of The Python Quants (http://tpq.io), a group focusing on the use of open source technologies for financial data science, artificial intelligence, algorithmic trading, and computational finance. He is also the founder and CEO of The AI Machine (http://aimachine.io), a company focused on AI-powered algorithmic trading based on a proprietary strategy execution platform.
Yves has a Diploma in Business Administration, a Ph.D. in Mathematical Finance and is Adjunct Professor for Computational Finance.
Yves is the author of five books (https://home.tpq.io/books):
* Artificial Intelligence in Finance (O’Reilly, forthcoming)
* Python for Algorithmic Trading (O’Reilly, forthcoming)
* Python for Finance (2018, 2nd ed., O’Reilly)
* Listed Volatility and Variance Derivatives (2017, Wiley Finance)
* Derivatives Analytics with Python (2015, Wiley Finance)
Yves is the director of the first online training program leading to University Certificates in Python for Algorithmic Trading (https://home.tpq.io/certificates/pyalgo) and Computational Finance (https://home.tpq.io/certificates/compfin). He also lectures on computational finance, machine learning, and algorithmic trading at the CQF Program (http://cqf.com).
Yves is the originator of the financial analytics library DX Analytics (http://dx-analytics.com) and organizes Meetup group events, conferences, and bootcamps about Python, artificial intelligence and algorithmic trading in London (http://pqf.tpq.io), New York (http://aifat.tpq.io), Frankfurt, Berlin, and Paris. He has given keynote speeches at technology conferences in the United States, Europe, and Asia.
SOCIAL MEDIA
http://home.tpq.io
http://twitter.com/dyjh
http://linkedin.com/in/dyjh
https://github.com/yhilpisch
http://youtube.com/c/yves-hilpisch
For more information and to register, visit https://www.meetup.com/thalesians/events/270296813/
TITLE: Reinforcement Learning: From Playing Games to Intraday Algorithmic Trading
ABSTRACT:
This talk introduces Q-learning as a successful algorithm in reinforcement learning. It illustrates the application of a DQL agent to a game from the OpenAI Gym environment. It also illustrates how the same DQL agent can learn to trade financial instruments. The examples are based on self-contained Python code. It is also shown how such a trading bot can be easily deployed to trade algorithmically intraday based on The AI Machine (http://aimachine.io).
BIOGRAPHY
Dr. Yves J. Hilpisch is founder and CEO of The Python Quants (http://tpq.io), a group focusing on the use of open source technologies for financial data science, artificial intelligence, algorithmic trading, and computational finance. He is also the founder and CEO of The AI Machine (http://aimachine.io), a company focused on AI-powered algorithmic trading based on a proprietary strategy execution platform.
Yves has a Diploma in Business Administration, a Ph.D. in Mathematical Finance and is Adjunct Professor for Computational Finance.
Yves is the author of five books (https://home.tpq.io/books):
* Artificial Intelligence in Finance (O’Reilly, forthcoming)
* Python for Algorithmic Trading (O’Reilly, forthcoming)
* Python for Finance (2018, 2nd ed., O’Reilly)
* Listed Volatility and Variance Derivatives (2017, Wiley Finance)
* Derivatives Analytics with Python (2015, Wiley Finance)
Yves is the director of the first online training program leading to University Certificates in Python for Algorithmic Trading (https://home.tpq.io/certificates/pyalgo) and Computational Finance (https://home.tpq.io/certificates/compfin). He also lectures on computational finance, machine learning, and algorithmic trading at the CQF Program (http://cqf.com).
Yves is the originator of the financial analytics library DX Analytics (http://dx-analytics.com) and organizes Meetup group events, conferences, and bootcamps about Python, artificial intelligence and algorithmic trading in London (http://pqf.tpq.io), New York (http://aifat.tpq.io), Frankfurt, Berlin, and Paris. He has given keynote speeches at technology conferences in the United States, Europe, and Asia.
SOCIAL MEDIA
http://home.tpq.io
http://twitter.com/dyjh
http://linkedin.com/in/dyjh
https://github.com/yhilpisch
http://youtube.com/c/yves-hilpisch
For more information and to register, visit https://www.meetup.com/thalesians/events/270296813/