Our team designed an intuitive, user-friendly interface to access and easily digest investment summaries on a dashboard display of new stock ideas. The dashboard also displayed a portfolio of sector, industry and stock-trends. Our system full integrated a massive data set, comprising of 90,000 unique global securities. In building this AI solution, we performed signal processing, time-series forecasting and clustering on financial datasets. We also used state-of-the art regression and recurrent neural network models to perform short-term and long-term predictions, as well as extracted and analyzed sentiment from textual data using NLP techniques, in the users’ decision making.