This study aims to predict the direction of US stock prices by integrating time-varying effective transfer entropy (ETE) and various machine learning algorithms. At first, we explore that the ETE ...

But in spite of everything seemingly going its way, it's my expectation that Palantir stock will plunge to $55 (representing a decline of 60%), at minimum, by 2027.

The experiments on the price prediction show that 1) compared with HTM which has not learned similar stock patterns, C-HTM has better prediction accuracy, 2) in terms of short-term prediction, the ...