Empowering Crypto Traders With AI: A Semiautomated Agent for Cardano, Mana, and Ripple

The recent surge in cryptocurrency investments has underscored the critical need for sophisticated trading strategies and tools. This article explores the development of a semi-automated trading agent designed to optimize trading decisions in the volatile cryptocurrency market. Focusing on three popular cryptocurrencies-Cardano, Mana, and Rippleour approach integrates two key methodologies: news sentiment analysis and predictive modeling of cryptocurrency prices. We employ three machine learning algorithms-Naive Bayes, Random Forest (RF), and Support Vector Machine (SVM)-to analyze market sentiment, selecting the algorithm with the highest accuracy for implementation in our trading agent. Additionally, we use Long Short-Term Memory (LSTM) neural network to forecast future price movements of these currencies. Trading signals-buy, sell, or hold-are generated by combining the outcomes of sentiment analysis with price predictions and by evaluating the proximity of current prices to calculated support and resistance levels. This comprehensive approach empowers investors to make more informed decisions, potentially enhancing profitability in the complex and dynamic cryptocurrency market.