A BYD stock price prediction model using LSTM algorithm with parameter optimization to achieve high accuracy and analyzes the effect of epoch variations on prediction performance to demonstrate the effectiveness of LSTM on high-volatility stocks.
. The stock performance of BYD (002594.SZ) is attracting increasing attention. This research aims to use eXtreme Gradient Boosting (XGBoost) and Long Short-Term Memory (LSTM) to predict BYD’s next trading day’s closing price and compare their performances. The research used BYD stock data from 2015 to 2025. The researc...
Si-Han Chen· Proceedings of the 4th Inter...· 0 citations
View the results as a methodological contribution rather than direct evidence of practical investment value, given the modest trend-classification accuracy and the lack of trading back testing, transaction costs, or risk-adjusted performance measures.
Muhammad Jahron, J. A. Widians, Andi Tejawati· TEPIAN· 0 citations
Stock price forecasting remains a challenging task due to the nonlinear and non-stationary characteristics of financial time series, particularly for Islamic banking stocks such as Bank Syariah Indonesia (BRIS), which exhibit highly dynamic price movements. This study compares the performance of four prediction models...
Stock price volatility presents major challenges for investors and policymakers, particularly in emerging markets. This study evaluates the performance of Long Short-Term Memory (LSTM) networks and ARIMAX models for forecasting stock prices on the Nigerian Stock Exchange (NSE). Using 13 years (2012–2025) of daily stock...
Joshua Ezra Joeffrey, J. Okeke, Peter Bako Jaben et al.· Lafia Journal of Scientific...· 0 citations
This study addresses the high volatility and non-linearity of XAU/USD price movements, which hinder accurate prediction in financial markets. An experimental quantitative approach was employed, comparing the XGBoost algorithm as the primary model against Random Forest. Daily historical XAU/USD data from 2021 to 2025 (2...
Malik Ibrahim, Asep Id Hadiana, Agus `Komarudin· Merkurius : Jurnal Riset Si...· 0 citations
The Indonesian capital market faces stability challenges reflected in fluctuations in financial-sector stock prices during the 2020–2024 period. This study aims to compare the accuracy of stock price predictions based on fundamental and technical analysis and to examine the role of market volatility as a moderating var...
Dinartika Hukamawati, R. Kanto· Jurnal Riset Manajemen· 0 citations
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