Natural Language Processing (NLP) is a powerful tool for detecting market rumors that can influence Forex trading and financial markets. By analyzing news articles, social media, financial reports, and discussion forums, NLP models identify speculative statements, unverified claims, and emerging narratives that could impact currency prices. Sentiment analysis helps gauge the tone of rumors, classifying them as positive, negative, or neutral. Named Entity Recognition (NER) detects key financial figures, companies, and institutions involved in the rumors, while topic modeling groups related discussions to identify widespread speculation. AI-driven fake news detection further filters out misinformation, reducing the risk of trading on false reports. Real-time NLP processing allows traders and financial institutions to act swiftly, mitigating risks associated with sudden market swings caused by rumors. While challenges like sarcasm detection and context interpretation exist, NLP-driven rumor detection enhances decision-making, making Forex trading more data-driven and resilient against speculative noise.