International Journal of Science, Engineering and TechnologyAuthors: N. Indraneel Reddy, N. Manohar Guptha, P. Jyothi Prakash, M. Teja Pavan, Mrs.R. Mano Ranjani
Abstract: Cryptocurrency markets are highly dynamic and operate continuously, requiring traders to analyze price movements and make decisions in real time. Manual trading methods often fail to respond efficiently to rapid market fluctuations, leading to delayed actions and inconsistent results. This paper presents the design and implementation of a real-time cryptocurrency trading bot that performs market analysis, visualizes price movements, and executes simulated trades using technical indicators. The proposed system utilizes live market data obtained from the Binance public API, candlestick chart visualization, portfolio tracking, and an automated trading strategy based on Exponential Moving Average (EMA) crossover logic. The system is implemented as a web application and focuses on transparency, simplicity, and real-time responsiveness. The results demonstrate that automated rule-based trading can improve decision consistency and provide a practical platform for understanding algorithmic trading concepts
