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This thesis examines how the performance of a rule based trading algorithm, the Golden Cross Trading Algorithm, and an Artificial Neural Network constructed algorithm, the Long Short-Term Memory, perform against each other and a buy- and-hold strategy, when trading on the equity market. The underlying assets will be nine large American tech companies, all listed on Nasdaq. In order to distinguish
