ALGOTRADING
CORNEL DE VROOMEN
Harbour.Space is a university created by entrepreneurs for entrepreneurs. We focus on meeting the demands of the future, while traditional education providers are too often stuck in the past.
We’re one of the only European institutions completely dedicated to technology, design and entrepreneurship, and our interdisciplinary courses are taught by some of today’s leading professionals. Our aim is not only to equip students with the knowledge to take on the real world, but to nurture, create and shape tomorrow’s tech superstars.
Combinatorics and graph theory lay at the heart of discrete mathematics and computer science. In the course, we begin with a brief review of the fundamentals of combinatorics---counting, permutations, binomial coefficients, and the pigeonhole principle---and then devote most of the course to the fundamentals of graph theory. We cover the most common definitions and ideas of graph theory, proving important theorems and introducing important algorithms, but mostly aiming to simply establish the common language of discrete mathematics and computer science.
Cornel is an enthusiastic and entrepreneurial-minded Harbour.Space graduate.
Despite his previous studies in Computer Science, Cornell found that the field isn't for him, and decided to focus on his other interests, Economy and Entrepreneurship. He has loved entrepreneurship from an early age and read many books from entrepreneurs like Richard Branson and Bill Gates.
This drive led him to take entrepreneurial initiatives from a young age, including small scale international trade, online marketing initiatives, creation and selling of ebooks and working as a freelancer to develop websites.
Cornel chose to do his Master's at Harbour.Space, choosing the High Tech Entrepreneurship program, but later switching to Fintech, as this is his big passion. After deliberating between developing his own company or finding a job, the latter was chosen, and Cornel has been working at Flow Traders in Amsterdam since.
● Learn the definition of algorithmic trading
● Learn what players are making use of automatic trading tools
● Find out what HFT and market making firms are doing, and what arbitrage and market making is
● Learn about technical indicators
● Get to know how to create your own algo trading bot
● Learn loads and have fun doing it through gamification
SKILLS:
- Finance
- Entrepreneurship
- Trading
ABOUT CORNEL
HARBOUR.SPACE WHAT YOU WILL LEARN
DATE: 1 Jun - 5 Jun, 2020
DURATION: 1 Week
LECTURES: 3 Hours per day
LANGUAGE: English
LOCATION: Barcelona, Harbour.Space Campus
COURSE TYPE: Offline
HARBOUR.SPACE UNIVERSITY
RESERVE MY SPOT
DATE: 1 Jun - 5 Jun, 2020
DURATION: 1 Week
LECTURES: 3 Hours per day
LANGUAGE: English
LOCATION: Barcelona, Harbour.Space Campus
COURSE TYPE: Offline
All rights reserved. 2018
COURSE OUTLINESession 1
Introduction to finance
Learn all about investing, trading, stocks, and
other products + concepts
Session 4
We will look at live examples in the
cryptocurrency space
HFT firms, market making and arbitrage
Session 3
Pitches, backtesting, and Quantopian
competition
The use of algorithms in analysis
Session 2
How to do financial analysis
Learn what fundamental and technical
analysis is and introduction to the way to
pitch a stock
ALGOTRADING
The world of finance is changing, and so is the profession of trading. More than 90% of all trades are now done by algorithms. If you are working at a hedge fund, a market maker or a bank, the use of algorithms is extremely important. In the Algotrading course we will discuss the different ways in which algorithms are used, try some out ourselves and in general learn more about trading.
The world of finance is changing, and so is the profession of trading. More than 90% of all trades are now done by algorithms. If you are working at a hedge fund, a market maker or a bank, the use of algorithms is extremely important. In the Algotrading course we will discuss the different ways in which algorithms are used, try some out ourselves and in general learn more about trading.
BIBLIOGRAPHY
