Natural Language Processing for Forex Trading Signals

This research project explores theuse of 3 NaturalLanguage Processing (NLP) techniques 4 to generate forex trading signals. It entails the 5 collection of news data from financial news 6 websites like Bloomberg and Forex Factory. The 7 text data was preprocessed to remove noise and 8 irrelevant information, then sentiment analysis 9 and keyword identification was performed, and 10 forex trading signals were generated based on 11 the results. The outcome of this project shows 12 that NLP-based approach of generating forex 13 trading signals has the potential to outperform 14 the traditional methods of using market trends to 15 generate forex trading signals. 16 Naturallanguage processing-based approach 17 can improve the accuracy and the efficiency of 18 forex trading because it reduces the risk of 19 human error and helps forex trader in making 20 profitable decisions.