21st Python for Quant Finance Meetup (Virtual)
Refinitiv is proud to support this very popular meetup in the Python Quant Finance space. Usually an in-person event - due to the situation it is now virtual so we hope many more of you can attend.
Welcome to our 21st Meetup event. Due to the current situation, we have decided to kick-off a series of virtual Meetup events. The great thing is we hope to be able to reach more of the group than we could with an in-person event. So if you haven't seen us for a while it would be great to see you at this virtual event and future ones over the coming months.
Dr. Yves Hilpisch (TPQ | The AI Machine): Introduction
How to Create a Sustainable and Risk Optimized Portfolio | Dr. Jennifer Rasch and Dr. Caroline Löbhard
Combining a Markowitz Model with Monte Carlo Simulations and different risk measures applied on a sustainable stocks universe, we show you how we created a portfolio.
Forecasting Stock Market Data with AI (The YUCE-8 Approach) | Torsten Langer
The nature of stock market data is determined by ups and downs. Today you have access to Terabytes of data in real time. But the human brain is not capable of processing this amount of information. Whilst the human brain gets overrun by the amount of data that is produced per second another technology is waiting for its deployment: AI. AI is able to learn from the past in order to predict the future. But financial data is difficult to predict.
In this talk Torsten will talk about the journey he went on in order to create an API based set of TensorFlow based AI models and the promising results that this library, called YUCE-8, delivers today – 1.5 years later. The demo will be run in Python (Google Colab).
See you all online on Wednesday, 22nd July 2020!
Start Date & Time: 21 Jul 2020 22:00 CDT
End Date & Time: 22 Jul 2020 00:00 CDT
Date: 22nd July 2020
Time: 4pm London | 5pm Paris, Frankfurt | 10am NYC