aspg-41-4422-1792223344 20261017074904 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Metaheuristic Optimization Review MOR 3066-280X 2026 7 1 Osama Abo Elela Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology, Mansoura 35111, Egypt The rapid expansion of digital data in financial markets and business environments has increased the need for intelligent, accessible, and integrated analytical systems. Traditional tools for trading analysis, marketing analytics, and user assistance often operate separately, forcing users to move between different platforms and making data interpretation more complex. This project presents InsightX, a web-based analytical platform that combines trading analysis, marketing analytics, and an AI-powered chatbot within a unified interface. The system is designed to support data-driven decision-making by transforming raw financial and marketing data into interactive visualizations, performance indicators, and user-oriented insights. The platform consists of three main modules. The Trading Analysis Module enables users to examine market data through real-time charts, historical comparisons, and technical indicators such as moving averages and RSI. The Marketing Analysis Module supports customer data analysis, segmentation, campaign performance evaluation, and KPI-based insight generation. The AI Chatbot Module enhances usability by allowing users to ask questions, receive explanations, and navigate analytical results through natural language interaction. InsightX is implemented using Python and Streamlit, supported by libraries such as Pandas, NumPy, Plotly, yfinance, and AI API integration for chatbot functionality. 2026 41 57 4422 https://creativecommons.org/licenses/by/4.0/ 10.54216/MOR.070105 https://americaspg.com/journal/41/article/4422 https://americaspg.com/storage/articles/manuscripts/01KVEZSYPFDQ17AP9KSE56XTG5.pdf