Kernel price pattern trading
作者:Alejandro Cañete, Jorge Constanzo, Luis Salinas
摘要
A new approach to algorithmic trading system development is presented. This approach, Kernel Price Pattern Trading (KPPT P ), allows the practitioner to link the performance of a learned classifier (that predicts the occurrence of the price pattern P) to the profitability of the system. A positive definite kernel based distance that tries to capture the drivers of the process of price patterns formation and some results about the profitability of the system are also presented.
论文关键词:Kernels, Online classification, Technical analysis, Price pattern, Trading
论文评审过程:
论文官网地址:https://doi.org/10.1007/s10489-007-0054-2