prikaz prve stranice dokumenta Algoritamsko trgovanje
Access restricted to authenticated users
master's thesis
Algoritamsko trgovanje
2022. urn:nbn:hr:179:393647
Batinić, Stipan
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Cite this document

Batinić, S. (2022). Algoritamsko trgovanje (Master's thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:393647

Batinić, Stipan. "Algoritamsko trgovanje." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:393647

Batinić, Stipan. "Algoritamsko trgovanje." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:393647

Batinić, S. (2022). 'Algoritamsko trgovanje', Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 25 April 2024, https://urn.nsk.hr/urn:nbn:hr:179:393647

Batinić S. Algoritamsko trgovanje [Master's thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2022 [cited 2024 April 25] Available at: https://urn.nsk.hr/urn:nbn:hr:179:393647

S. Batinić, "Algoritamsko trgovanje", Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:179:393647

Please login to the repository to save this object to your list.
Metadata
TitleAlgoritamsko trgovanje
Title (english)Algorithmic trading
AuthorStipan Batinić
MentorMatko Šarić https://orcid.org/0000-0001-9752-9653 (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2022-09-23, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom diplomskom radu proučavali smo potencijalnu primjenu algoritama na tržište kapitala. Posebnu pažnju pridajemo primjeni, analizi podataka te efikasnosti algoritama. U prvom poglavlju obrađujem povezanost umjetne inteligencije i ekonomije. Spominju se koraci, mane i prednosti koje bi donijela primjena algoritama. Također spominjemo indikatore koji su veza između strojnog učenja i ekonomije te smo testirali unatrag naše ideje i potencijalnu primjenu. U drugom poglavlju detaljno smo analizirali obradu podataka te prednosti i mane istih. Primijenili smo regresiju na naše podatke te dobili korisne podatke za daljnju upotrebu u algoritmima. U trećem poglavlju posvećujemo se primjeni raznih algoritama na obrađene podatke. Dokazujemo potencijalnu primjenu algoritama na izračunljive skupove podataka. Glavni rezultat je dokaz o potencijalnoj primjeni algoritama. („Proof of concept“)
Abstract (english)
In this thesis, we studied the potential application of algorithms to the capital market. We pay special attention to application, data analysis and efficiency of algorithms. In the first chapter, we deal with the connection between artificial intelligence and economics. The steps, disadvantages and advantages that the application of algorithms would bring are mentioned. We also mention indicators that are the link between machine learning and economics and have back-tested our ideas and potential application. In the second chapter, we analyzed data processing and its advantages and disadvantages in detail. We applied regression to our data and obtained useful data for further use in algorithms. In the third chapter, we devote ourselves to the application of various algorithms to the processed data. We demonstrate the potential application of algorithms to computable data sets. The main result is proof of the potential application of the algorithms. ("Proof of concept")
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:393647
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to authenticated users
Terms of useLicence In copyright icon
Created on2023-02-24 12:09:55