Abstract
The price changes of bitcoin and gold are frequent, as observed in previous studies, and market participants can base their daily investment plans on historical data. Market traders can maximise their investment returns by buying low and selling high on volatile assets based on the day's market conditions, as markets fluctuate every day. Gold and bitcoin are two of the most common volatile investments. In this project, we are trying create an algorithm of high degree of integration which can provide advice to traders before they made their decisions. We used ARIMA algorithm based on the Genetic Algorithm to predict the data and let the algorithm to make based on the predicted data. The complete code could be seen in appendix. The codes were mostly based on MATLAB language, for which it integrated the features of simple and easy to get started; dispatchable sensitivity; adaptable and reliable. Which allows the traders to use simple operations to get reliable and visualizable results. Which can let the traders to have the opportunity to get suggestions on when they should trade.
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