The demand for intelligent monitoring systems in financial markets, particularly in the Foreign Exchange (Forex) market, has become increasingly essential to track market movements effectively. The rapid fluctuations and complex dynamics of these markets require advanced tools that go beyond traditional analysis methods. Financial markets, including Forex, adhere to certain mathematical models, making them suitable for analysis using various Artificial Intelligence (AI) algorithms. These AI algorithms allow for more precise predictions and insights, providing traders with a competitive edge. Data fusion, a technique that integrates multiple data sources into a single comprehensive model, has been widely applied in different industries to enhance decision-making processes. Its application in financial markets brings the ability to synthesize diverse data points, such as historical price data and market sentiment, to generate more accurate forecasts. The Jimbo Forex Project, which focuses on leveraging data fusion techniques, aims to enhance trading decisions in the Forex market by incorporating AI-driven technical analysis. By merging data from multiple sources, the project seeks to provide traders with deeper insights into market trends and improve decision accuracy. This integration of data fusion and AI-driven analysis reflects the evolving landscape of financial technology. Ultimately, such intelligent systems could revolutionize how traders approach Forex markets, offering more informed and data-driven strategies.