NORMA eResearch @NCI Library

User Satisfaction and Feature Preferences On TradingView for Financial Technology

Hong, Samuel Jun Jie (2025) User Satisfaction and Feature Preferences On TradingView for Financial Technology. Masters thesis, Dublin, National College of Ireland.

[thumbnail of Master of Science]
Preview
PDF (Master of Science)
Download (3MB) | Preview

Abstract

In the fintech space, technology has completely transformed the way people engage with financial markets. Traders in the past used newspapers and delayed data for market insights. Digital trading platforms today have elevated real-time information, analysis tools and a simplified user interface to front stage. Between numerous platforms, TradingView is very well-liked and helpful as it satisfies the demands of its varied user base, this paper investigates user satisfaction and feature preferences on TradingView.

TradingView provides basic tools for retail traders and investors including professional charting features, customisable alerts, and a built-in social network for idea sharing. These elements help to encourage better community involvement, better decision-making knowledge, and more effective market analysis. User experience keeps being a major determinant in keeping interest and pleasure on platforms like TradingView as financial technology expands.

Item Type: Thesis (Masters)
Supervisors:
Name
Email
Lambert, Jonathan
UNSPECIFIED
Subjects: H Social Sciences > HF Commerce > Marketing > Consumer Behaviour
H Social Sciences > HG Finance > Fintech
T Technology > T Technology (General) > Information Technology > Fintech
H Social Sciences > HG Finance > Investment > Stock Exchange
Divisions: School of Business (- 2025) > Master of Science in Management
Depositing User: Ciara O'Brien
Date Deposited: 09 Jan 2026 14:07
Last Modified: 09 Jan 2026 14:07
URI: https://norma.ncirl.ie/id/eprint/9080

Actions (login required)

View Item View Item