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- W4361762624 abstract "It is of great significance to accurately predict the price trend of financial assets and establish a trading strategy model to guide the trades’ investment. Taking the five-year gold price in London Bullion Market and the five-year bitcoin price in NASDAQ market from 2022 MCM C test as data sources, we established the asset price prediction model via a modified LSTM, in which a two connection layers constructor was designed to reduce the impact of different features on the classification result. It was found that the modified LSTM models predicted the prices more accurately, with the mean square errors between the predicted and the actual prices being 0.00395 for gold and 0.00288 for bitcoin, respectively. An asset trading strategy model based on the LSTM forecast prices was established by applying a single-objective optimization method. According to the model, traders could reach $37,840 asset if they invested $1,000 as the initial funding five years ago. It was shown that the financial asset trading strategy model via the modified LSTM and single-objective optimization algorithm was effective, which would provide a reliable guidance for the best portfolio selection." @default.
- W4361762624 created "2023-04-04" @default.
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- W4361762624 date "2023-01-01" @default.
- W4361762624 modified "2023-09-27" @default.
- W4361762624 title "Study on Trading Strategy Model of Financial Assets Based on Modified LSTM and Single-Objective Optimization Algorithm" @default.
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- W4361762624 doi "https://doi.org/10.1007/978-981-99-0923-0_93" @default.
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