Enhancing Digital Currency Pricing with Machine Learning Models
Mamta Kumari, Raj Sinha, Prasenjit Chakrabarty, Yamini Bhardwaj, S. Anu Priya, Sandeep Gupta
Abstract
Machine learning has emerged at the forefront of technological innovation with vast potential to transform and disrupt various industries and landscapes, particularly digital pricing and cryptocurrency. This paper has examined the futuristic impacts of machine learning on these landscapes, focusing on dynamic pricing strategy, personalized pricing, fraud detection, market analysis, algorithmic trading, risk mitigation, and regulation compliance. ML improves the dataset’s efficiency and data processing rate. This advanced technology helps companies develop better pricing plans, detect fraud and theft, predict market trends, automate trading strategies, develop risk management, and assist with other compliance regulations. Ultimately, this work has uncovered the various opportunities and challenges of the implications of ML on digital pricing and cryptocurrency landscapes.