From Data to Dollars

Javed, Muhammad Waqas (2024) From Data to Dollars. Masters thesis, Dublin, National College of Ireland.

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Abstract

Cryptocurrencies and Stock Markets are a hot new way of investing into and earning some big bucks. They have changed the way of how we perceive finances and how the traditional transactional or investment approaches are now replaced by thousands of stock options, and 13,000+ cryptocurrencies around the world. With a market cap of several hundred Trillion dollars, these financial instruments have attracted researchers to analyse trends, and read patterns convert that data into dollars. Capturing price values changing with time, hours after hours and weeks after weeks sometimes may not be enough, and here we also show how social sentiments affect the actual market along with the financial market trends themselves. We demonstrate the pros and cons of various Time Series models and how they perform with and without Twitter sentiments for predicting prices of a stock, generalising over capabilities for all Time Series analysis.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Haque, Rejwanul UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science H Social Sciences > HG Finance > Money > Digital currency Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning H Social Sciences > HG Finance > Investment > Stock Exchange
Divisions:	School of Computing > Master of Science in Artificial Intelligence for Business
Depositing User:	Ciara O'Brien
Date Deposited:	02 Jul 2025 14:39
Last Modified:	02 Jul 2025 14:39
URI:	https://norma.ncirl.ie/id/eprint/7987

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