Kernel price pattern trading. Applied Intelligence, 29(2):152-156, 2008. doi abstract bibtex A new approach to algorithmic trading system development is presented. This approach, Kernel Price Pattern Trading (KPPTP ), 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. © 2007 Springer Science+Business Media, LLC.
@article{10.1007/s10489-007-0054-2,
abstract = "A new approach to algorithmic trading system development is presented. This approach, Kernel Price Pattern Trading (KPPTP ), 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. © 2007 Springer Science+Business Media, LLC.",
number = "2",
year = "2008",
title = "Kernel price pattern trading",
volume = "29",
pages = "152-156",
doi = "10.1007/s10489-007-0054-2",
journal = "Applied Intelligence"
}
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