Price Prediction

Price prediction aims to forecast the future value of assets, encompassing diverse markets like stocks, cryptocurrencies, and real estate. Current research heavily utilizes machine learning, particularly deep learning models such as LSTMs, CNNs, Transformers, and Graph Neural Networks, often incorporating multiple data sources including historical prices, technical indicators, social media sentiment, and even image data (e.g., for NFTs). These advancements improve prediction accuracy and offer insights into market dynamics, impacting investment strategies, risk management, and resource allocation across various sectors. The field is also exploring methods to quantify prediction uncertainty and improve model interpretability.