The "Accuracy Paradox": Why Smart AI Loses Money in Crypto скачать в хорошем качестве

The "Accuracy Paradox": Why Smart AI Loses Money in Crypto

This video investigates the challenging task of cryptocurrency time series prediction, specifically for Bitcoin and Ethereum. We analyze a recent academic study that introduces the Partial-Multivariate Transformer (PMformer), a model designed to overcome the limitations of information-scarce univariate models and noise-prone full-multivariate models in volatile markets. We reveal how the PMformer achieved the highest statistical accuracy and lowest prediction error against eleven benchmark models. However, the study uncovers a critical "Accuracy-Utility Paradox": superior prediction error metrics often do not guarantee higher financial returns in trading simulations. We discuss why future AI evaluation must shift toward metrics aligned with real-world financial objectives rather than just forecasting error magnitude. #CryptoTrading #ArtificialIntelligence #PMformer #Bitcoin #Ethereum #MachineLearning #FinTech #AlgorithmicTrading #DataScience #Transformers