Author(s)

Jingong Chen, Jingwen Liu

Corresponding Author

Jingong Chen

ABSTRACT

Common market investment assets include gold and bitcoin. Bitcoin is an encrypted currency with a regional chain as a basement technology, which market traders increasingly recognize, but high-profile means high risk. Gold as a general equivalent is a frequent visitor in asset configuration. We have established a long short-term memory neural network model, quantifying the price of Bitcoin and gold. Through 2016, Bitcoin and Gold's transaction prices were trained on the Internet, and then the price forecast for the next three days from September 11, 2021, and the prediction results were tested, and the errors were 0.92 and 0.99. It can be seen that the model is well predicted.

KEYWORDS

Artificial Neural Network, Reading difficulty factor, Hierarchical Clustering