Research on the Optimization of Investment Strategy Based on Genetic Algorithm Using Python Programming

To address the issue of optimizing investment strategies for systematic investment plans (SIPs), a novel approach is proposed where the investment satisfaction of a variable SIP (the probability that the return rate exceeds that of a fixed SIP) is used as the fitness function in a genetic algorithm....

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Veröffentlicht in:	2024 3rd International Conference on Artificial Intelligence and Computer Information Technology (AICIT) S. 1 - 8
1. Verfasser:	Wang, Jiawei
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 20.09.2024
Schlagworte:	Codes genetic algorithm Genetic algorithms Indexes Information technology Investment investment strategy Optimization Programming Python systematic investment plan Systematics Timing variable SIP
Online-Zugang:	Volltext
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