Real-time sentiment analysis for Forex trading tackles the challenge of analyzing rapidly incoming textual data streams, such as live news feeds and social media posts. This necessitates efficient NLP pipelines capable of processing and classifying sentiment with minimal latency. Techniques employed often involve optimized algorithms and parallel processing to handle the high volume and velocity of data. Streaming analytics platforms are crucial for ingesting, processing, and visualizing sentiment data in real-time. The insights gained from real-time sentiment can be particularly valuable for short-term trading strategies, allowing traders to react quickly to shifts in market mood as they unfold. Challenges include maintaining accuracy amidst the noise of real-time data and adapting to rapidly evolving language. #AIImpactOnForex