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Applying News and Media Sentiment Analysis for Generating Forex Trading Signals
March 5, 2024, 2:43 p.m. | Oluwafemi F Olaiyapo
cs.LG updates on arXiv.org arxiv.org
Abstract: The objective of this research is to examine how sentiment analysis can be employed to generate trading signals for the Foreign Exchange (Forex) market. The author assessed sentiment in social media posts and news articles pertaining to the United States Dollar (USD) using a combination of methods: lexicon-based analysis and the Naive Bayes machine learning algorithm. The findings indicate that sentiment analysis proves valuable in forecasting market movements and devising trading signals. Notably, its effectiveness …
abstract analysis articles arxiv author cs.lg generate market media q-fin.st research sentiment sentiment analysis social social media trading trading signals type united united states usd
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