Faculty of Technical Sciences

Subject: Algorithmic Trading (17.IM2420)

Native organizations units: Department of Industrial Engineering and Engineering Management, Chair of Production Systems, Organization and Management
General information:
 
Category Professional-applicative
Scientific or art field Proizvodni i uslužni sistemi, organizacija i menadžment
Interdisciplinary No
ECTS 4
Educational goal:

Algorithmic objectives of trade are to introduce students to the key factors that determine the algorithmic models of trade and understand the basic concepts of defining automated systems The financial trade market. The main objective of this course is to complement and integrate knowledge of systems engineers need algorithmic trade management.

Educational outcome:

Students who live audience of the course and pass the exam are qualified to understand the methods of analysis and decision-making when creating models of algorithmic trading and to make decisions about the use of algorithmic trade in business.

Course content:

"Dow Theory," Moving averages and their significance, leading indicators in algorithmic trading, following indicators in algorithmic trading, the role of trade volume, formation algorithms, neural networks, genetic algorithms, transaction costs, the use of algorithms to arbitration, contemporary experience in the application of algorithmic models trade in the market.

Teaching methods:

Lectures, exercises and workshops. The exam is taken in two parts. The first part of the exam students take a team addressing or resolving the case study written test with multiple choice. Students who have passed the first part of the exam are allowed to take the oral part of the exam. The oral exam is taken orally and is eliminatory.

Literature:
Authors Title Year Publisher Language
Dobromirov, D. Algoritamska trgovina - elektronska skripta 2017 Fakultet tehničkih nauka u Novom Sadu Serbian language
Copeland, L.S. Exchange rates and international finance, 4th edition 2005 Prentice Hall, London English
Barry Johnson Algoritmic trading & DMA 2010 4Myeloma Press, London English
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Project Yes Yes 40.00
Oral part of the exam No Yes 50.00
Exercise attendance Yes Yes 5.00
Lecture attendance Yes Yes 5.00
Lecturers:
API Image

prof. dr Dobromirov Dušan

Full Professor

Lectures

doc. dr Ferenčak Miroslav

Assistant Professor

Computational classes

Asistent Todorović Tanja

Assistant - Master

Computational classes

Faculty of Technical Sciences

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Contact:

Address: Trg Dositeja Obradovića 6, 21102 Novi Sad

Phone:  (+381) 21 450 810
(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.