EventsThe 1st International Online Conference on Mathematics and Applications
Published
This submission belongs to the session S1. Engineering Mathematics of the event The 1st International Online Conference on Mathematics and Applications
Published date
28 Apr, 2023
Academic Editor
author-avatarPaolo Mercorelli
Citation
Yair Neuman, Yochai Cohen, A Permutation-Based Mathematical Heuristic for Buy-Low-Sell-High, in Proceedings of The 1st International Online Conference on Mathematics and Applications, 1 May–15 May 2023, MDPI: Basel, Switzerland, doi: 10.3390/IOCMA2023-14380
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A Permutation-Based Mathematical Heuristic for Buy-Low-Sell-High

Yochai Cohen 2
1. Head, The Functor Lab, Department of Cognitive and Brain Sciences , Ben-Gurion University of the Negev, Beer-Sheva, Israel
2. Gilasio Coding
Abstract

Buy low sell high is one of the basic rules of thumb used by individuals for investment although it
is not considered to be a constructive strategy. In this paper, we show how the appropriate
representation of a minute-by-minute trading time series through ordinal (i.e. permutation) patterns
and the use of a simple decision heuristic may surprisingly result in significant benefits. Using the
proposed approach, we run two experiments. The results provide empirical support for the possible
benefit of using simple decision models, even in the context of chaotic minute-by-minute trading. We don't compare our proposed approach to sophisticated methods in trading, but show how a mathematical model adhering to the idea of bounded rationality may result in significant benefits.

Keywords
interdisciplinary mathematics
cognitive modeling
bounded rationality
permutations
Manuscript
GLOBAL WELL-POSEDNESS FOR 3D-AXISYMMETRIC ANISOTROPIC BOUSSINESQ SYSTEM WITH STRATIFICATION EFFECTS.
Growth of the solutions of the homogeneous differential-difference equations.