This project aims to develop an integrated platform for investors, combining three key components: stock price prediction, NLP-based Twitter sentiment analysis for buy/sell/hold recommendations, and an arbitrage algorithm for crypto currencies. The stock price prediction module will employ machine learning algorithms and historical data to forecast future prices accurately. NLP techniques will be utilized to analyze Twitter sentiment, generating actionable recommendations based on user-defined stocks. Additionally, an algorithm will be designed to identify and exploit price discrepancies in crypto currencies across multiple exchanges, enabling profitable arbitrage opportunities. Through this project, investors will gain access to an advanced tool that empowers data-driven decision-making and maximizes investment potential. The platform will be developed using Python, with data collection facilitated by financial and Twitter APIs and AWS platform.