Predicting asset price trends is often posed as a classification problem, where are classified positive or negative. Since series noisy and volatile, it difficult to distinguish true from short-term fluctuations. To this end, several trend definitions have been proposed in the literature, but yet be known how these affect performance of algorithms designed learn such labels historical data. In ...