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Introduction to Algorithmic Trading
Thu 20 October 2016, 18:00 – 20:00 BST
This is an open event for anyone interested in finding out more about Algorithmic Trading.
Alpha Academic has established itself as a leading provider of vocational education in the heart of the City of London. Our unique trading course are led by a practising market maker, and our algorithmic trading courses are led by a former consultant to Microsoft, and we regularly invite leading industry bodies to deliver guest lectures.
The evening will commence by:
18:00 - 18:30 Welcome
18:30 - 19:30 Introducton to Algorithmic trading and relevant trading technologies
19:30 - 20:00 Q&A
If you're intersted in finding out more about the algorithmic trading course, please visit http://alphaacademic.org/algo-trading-course/
Our 5-weeks evening course will prepare you to take an active role in the use of computational systems for the creation of real-time trading algorithms. Find out more at our open evening now!
Why study Algorithmic Trading at Alpha Academic?
You will develop technical skills in writing algorithms with time series data, and you will have the freedom to use these skills in your own practical project
You will explore how real-time trading algorithms can make use of a wide range of other subject areas such as social media and databases
We will prepare you to take an active role in the creation of computational systems for algorithmic trading with skills that are transferable to a wide range of industries
Our teaching is strongly focused on practical work in real world situations
You will benefit from access to our professional network of industry experts in the City of London
Top performing students will receive a reference and may have the opportunity of taking an industrial placement
Professional practice underpins all that we do at Alpha Academic. Our algorithmic trading course combines real-world experiences in innovation, technology, and the financial markets to challenge and coach students and help them find answers or develop a deeper understanding of trading.
Students will leverage leading standardised technologies such as the CQG Integrated Client and Microsoft Visual Studio to overcome real-world challenges. A detailed schedule is included at the end of this document.
The computing department draws on motivated professionals whose teaching interests span the full spectrum of financial trading issues. Tutors are established experts in their field who direct their own projects or provide consulting services to third parties. For teacher profiles see https://uk.linkedin.com/in/glenwhitehead