Gold and Bitcoin are representative volatile assets. In order to help traders reasonably purchase the required assets, this paper introduces a GBPP (Gold and Bitcoin Price Forecast) model to solve the current dilemma. First, an LSTM neural network model is built to predict price changes after a given trading date. Then, according to the forecast results, a buying and selling strategy is designed. Finally, a sensitivity analysis of the model established above is carried out. By changing the commission ratio, the change in total funds with the size of the commission can be observed in the graph.
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