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Genetic Algorithms (GAs) and Stock Trading Systems
Abstract
Recent advances and improvements in hardware and software technology have benefitted research in the field of finance. It has made research even more interesting. A large amount of data can be processed with lightning speed. Investors are now eagerly looking for small models and algorithms of a lucrative value and with better accuracy. Earlier, the decision to enter the market or to exit is taken emotionally with fear then by any rational thinking. Due to this, a lot of bad decisions were taken, and a huge amount of capital was lost. With the help of this computational system, a computer program will decide when to enter and when to exit the market without any human intervention. The decision here will be taken by testing a large amount of permutation and combination of various parameters associated with the system. This chapter briefly explains the scope and agenda of various algorithms for computation research in finance.
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