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undergraduate thesis
SUSTAV ZA PRAĆENJE I PREDVIĐANJE PROMJENE VRIJEDNOSTI DIONICA
2019. urn:nbn:hr:228:293335
Šušnjara, Antonio
University of Split
University Department of Professional Studies

Cite this document

Šušnjara, A. (2019). SUSTAV ZA PRAĆENJE I PREDVIĐANJE PROMJENE VRIJEDNOSTI DIONICA (Undergraduate thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:228:293335

Šušnjara, Antonio. "SUSTAV ZA PRAĆENJE I PREDVIĐANJE PROMJENE VRIJEDNOSTI DIONICA." Undergraduate thesis, University of Split, University Department of Professional Studies, 2019. https://urn.nsk.hr/urn:nbn:hr:228:293335

Šušnjara, Antonio. "SUSTAV ZA PRAĆENJE I PREDVIĐANJE PROMJENE VRIJEDNOSTI DIONICA." Undergraduate thesis, University of Split, University Department of Professional Studies, 2019. https://urn.nsk.hr/urn:nbn:hr:228:293335

Šušnjara, A. (2019). 'SUSTAV ZA PRAĆENJE I PREDVIĐANJE PROMJENE VRIJEDNOSTI DIONICA', Undergraduate thesis, University of Split, University Department of Professional Studies, accessed 18 March 2023, https://urn.nsk.hr/urn:nbn:hr:228:293335

Šušnjara A. SUSTAV ZA PRAĆENJE I PREDVIĐANJE PROMJENE VRIJEDNOSTI DIONICA [Undergraduate thesis]. Split: University of Split, University Department of Professional Studies; 2019 [cited 2023 March 18] Available at: https://urn.nsk.hr/urn:nbn:hr:228:293335

A. Šušnjara, "SUSTAV ZA PRAĆENJE I PREDVIĐANJE PROMJENE VRIJEDNOSTI DIONICA", Undergraduate thesis, University of Split, University Department of Professional Studies, Split, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:228:293335

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Metadata
TitleSUSTAV ZA PRAĆENJE I PREDVIĐANJE PROMJENE VRIJEDNOSTI DIONICA
Title (english)SYSTEM FOR TRACKING AND PREDICTING STOCK PRICE MOVEMENT
AuthorAntonio Šušnjara
MentorJosip Vrlić (mentor)
Committee memberIvica Ružić (član povjerenstva)
Committee memberToma Rončević (član povjerenstva)
GranterUniversity of Split
University Department of Professional Studies
Split
Defense date and country2019-07-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Tema ovog završnog rada je sustav za praćenje i predviđanje promjene vrijednosti dionica. Predviđanje cijena dionica je izvedeno korištenjem strojnog učenja. Strojno učenje je oblik umjetne inte ligencije, koristi se algoritmima za obradu podataka i učenje koji su sposobni izvršavati neke zadatke kao čovjek ili čak bolje nego čovjek. Trgovanje dionicama je aktivnost koja sa sobom nosi priliku za veliku zaradu, ali nosi i veliki rizik. Da bi bili uspješni u trgovanju, potrebno je analizirati velike količine podataka i koristiti se raznim ekonomskim indikatorima te pronaći pravilnosti u podacima i na osnovu toga donijeti odluku. Ovaj posao može odraditi vrlo iskusan trgovac, ali čak i najiskusniji trgovac će ponekad napraviti greške koje će ga koštati mnogo novca. Računalo se čini kao savršen kandidat za obavljanje ove vrste posla jer je u mogućnosti obraditi velike količine podataka i pronaći pravilnosti u podacima puno brže i bolje nego čovjek .
Abstract (english)
The subject of this thesis is the system for tracking and predicting stock price movement. Prediction of stock price movement was realised using machine learning. Machine learning is a form of artificial intelligence, used by data processing and learning algorithms that are capable of performing some tasks as a human being or even better than human being. Stock trading is activity that brings great earning opportunity, but it also carries great risk. To be successful in stock trading, it is necessary to analyze large amounts of data and use various economic indicators to find patterns in data and make decisions. This job can be done by very experienced trader, but even the most experienced trader will occasionally make mistakes that will cost him a lot of money. Computer seems to be perfect candidate to do this kind of job because it is able to process large amounts of data and find patterns in data much faster and better than human being.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:228:293335
Study programmeTitle: Information Technology – professional - professional
Study programme type: professional
Study level: undergraduate
Academic / professional title: stručni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka informacijskih tehnologija (stručni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka informacijskih tehnologija)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2019-07-19 08:43:06