Data-driven insights from technical indicators to predict the stablecoins price

• The study used 26 technical indicators to predict the stablecoins price. • Different models under consideration overall yield mixed estimates. • Technical indicators may improve the overall model performance. This paper employs a wide range of machine learning models, from traditional to advanced techniques, combined with technical indicators to predict the prices of seven popular stablecoins. It uses nine different models such as Decision Tree, General Linear Regression, K-Nearest Neighbours, LightGBM, Random Forest, XG Boost, ARIMAX, LSTM, and MLP, along with 26 technical indicators. The results exhibit that using technical indicators improves the model performance and thereby helps in making better investment decisions and risk management.