German Hernandez

Associate Professor | Department of Systems and Computing Engineering, National University of Colombia, Bogota, Colombia


Lecture Information:
  • April 19, 2019
  • 2:00 PM
  • CASE 241
Photo of German Hernandez

Speaker Bio

German Hernandez is an Associate Professor at the Department of Systems and Computing Engineering at the National University of Colombia, Bogota, Colombia. He leads there the Research Group in Algorithms and Combinatorics “Algos” and the Research Group in Algorithmic Trading, Computational Finance “Algotrade”. German is also a partner of Algocodex, an algorithmic trading company. He has a PhD. in Math with Conc. in CS and an MSc. in CS form U of Memphis; an MSc, in Math., an MSc. in Stat. and BSc in Computing and Systems Eng. form the National University of Colombia. He also has been an adjunct professor at the CS Dept at U of Memphis.
http://disi.unal.edu.co/~gjhernandezp/
https://www.linkedin.com/in/german-hernandez-06775b62/

Description

The crowdsource hedge funds fintech revolution is leveling Wall Street by allowing anyone around the world to write and test trading algorithms (called “algos”). The goal of the crowdsource hedge funds is to find profitable algos to invest, which require talented algos authors (called “quants”) to write them, so in order to attract talented people around the world these funds provide free access to easy to use platforms, training, data, contests, and funds; offering to share part of the profits of the algos with the authors. In this talk will give an overview of this revolution, then we will review various strategies and techniques to develop trading algorithms, and we will conclude showing how to develop two simple trading algorithms in Quantopian, one of the most popular crowdsource hedge fund platforms today.

References.
– Amateur coders write algorithms to compete for funds.
https://www.economist.com/finance-and-economics/2017/05/13/a-new-sort-of-hedge-fund-relies-on-crowd-sourcing
– Quantopian invested $50 million in an algo.
https://www.bloomberg.com/news/articles/2018-08-02/crowd-sourced-quant-network-allocates-most-ever-to-single-algo
https://www.quantopian.com/
http://disi.unal.edu.co/~gjhernandezp/AT/