TRX Cryptocurrency Profit and Transaction Success Rate Prediction Using Whale Optimization-Based Ensemble Learning Framework

TRON is a decentralized digital platform that provides reliable way to transact in cryptocurrencies within ecosystem. Thanks its success, TRON’s native token, TRX, has been widely adopted by large audience. To facilitate easy management of assets with Wallet, users can securely store and manage their ease. Our goal first develop methodology predict the future price using regression then move on build an effective classifier whether profit or loss made next day make prediction transaction success rate. framework capable predicting there will be based forecasting results regressors such as XGBoost, LightGBM, CatBoost R2 values 0.9820, 0.9825 0.9858, respectively. In this work, ensemble-based stacking Whale optimization approach proposed which achieves highest accuracy 89.05 percent if 98.88 TRX rate higher than accuracies obtained standard machine learning models. An useful for better decision-making risks cryptocurrency.