A price prediction model for gold and Bitcoin based on Long Short-Term Memory

doi:10.54097/hbem.v4i.3546

Paper

A price prediction model for gold and Bitcoin based on Long Short-Term Memory

Published Dec 12, 2022 · Conghong He, Tao Zhong, Yan Wang

Highlights in Business, Economics and Management

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Abstract

We built a price prediction model for gold and Bitcoin based on LSTM. For the first 30 days, we adopted a wait-and-see strategy without any transactions. Starting from the 31st day, we first trained the model with the data of all past trading days. Then use the trading data of the past 30 days to forecast the market price for the next 6 days. Then, we established a trading strategy model based on linear programming and made this week's trading decisions based on the predicted value of the market price in the next 6 days. Finally, we plotted the yield curve based on asset value.

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Key takeawayOur LSTM-based price prediction model accurately forecasts gold and Bitcoin prices for the next 6 days, aiding in trading decisions.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

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