Predicting forex pair movements: Integrating sentiment analysis, technical, and fundamental indicators using machine learning and deep learning models

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Title

Predicting forex pair movements: Integrating sentiment analysis, technical, and fundamental indicators using machine learning and deep learning models

Content partner

Unitec

Collection

Research Bank

Description

RESEARCH QUESTIONS 1. How do technical indicators compare with models, including fundamental indicators and sentiment analysis, in predicting forex prices? 2. How does sentiment analysis affect the accuracy of forex price predictions? 3. Which machine learning or deep learning models most effectively integrate these different data types for forex prediction? ABSTRACT The foreign exchange (forex) market is one of the largest and most liquid financial markets globally, making accurate price pre...

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Format

Research paper

Research format

Thesis

Thesis level

Masters

Date created

2024

Creator

Dave, Yash

URL

https://hdl.handle.net/10652/6489

Related subjects

foreign exchange market / forex / sentiment analysis (SA) / deep-learning algorithms / computer modelling / algorithms / Commerce, management, tourism and services / Banking, finance and investment / Banking, finance and investment not elsewhere classified / Mathematical sciences / Statistics / Computational statistics / Information and computing sciences / Artificial intelligence

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