Results 21 to 30 of about 246,578 (242)
Jurnal informatika UPGRIS, 2017 Stock price prediction is useful for investors to see how the prospects of a company's stock investment in the future. Stock price prediction can be used to anticipate the deviation of stock prices.
Eko Riyanto
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Research on Stock Price Prediction Integrating Incremental Learning and Transformer Model [PDF]
Jisuanji kexue yu tansuoStock price prediction has always been a focal topic in financial research and quantitative investment. Currently, most deep learning models for stock price prediction are based on batch learning settings, which require prior knowledge of the training ...
CHEN Dongyang, MAO Li
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IEEE Access, 2023 An enormous ripple effect can occur in financial data mining if it accurately predicts stock prices. However, predicting stock prices using only stock price data is difficult because of the random nature of stock price data.
Tae-Won Lee +2 more
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Ilkom Jurnal Ilmiah, 2023 A stock is a high-risk, high-return investment product. Prediction is one way to minimize risk by estimating future prices based on past data. There are limitations to solving the stock prediction problem from previous research: limited stock data ...
Sekhudin Sekhudin +4 more
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A Hybrid Prediction Method for Stock Price Using LSTM and Ensemble EMD
Complexity, 2020 The stock market is a chaotic, complex, and dynamic financial market. The prediction of future stock prices is a concern and controversial research issue for researchers. More and more analysis and prediction methods are proposed by researchers.
Yang Yujun, Yang Yimei, Xiao Jianhua
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International Journal on Science and TechnologyThis research examines various algorithms and techniques for stock price prediction. Utilizing historical stock data, we developed machine learning models, including linear regression, decision trees, and neural networks. The study evaluates which model demonstrates the best performance in terms of accuracy and reliability.After preprocessing the data,
Pankaj, Pusdekar +2 more
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Enhancing Stock Price Trend Prediction via a Time-Sensitive Data Augmentation Method
Complexity, 2020 Stock trend prediction refers to predicting future price trend of stocks for seeking profit maximum of stock investment. Although it has aroused broad attention in stock markets, it is still a tough task not only because the stock markets are complex and
Xiao Teng +4 more
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Quasi maximum likelihood estimation and prediction in the compound Poisson ECOGARCH(1,1) model [PDF]
, 2006 This paper deals with the problem of estimation and prediction in a compound Poisson ECOGARCH(1,1) model. For this we construct a quasi maximum likelihood estimator under the assumption that all jumps of the log-price process are observable.
Czado, Claudia, Haug, Stephan
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Pengaruh Kinerja Keuangan dan Indikator Kesulitan Finansil terhadap Harga Saham Bank : Studi Kasus Bank Bca [PDF]
, 2014 The purpose this research are to provide data, information and deep analysis about finance of go public Bank in Indonesia, include their financial distress and stock price.
Yoewono, H. (Harsono)
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The Interval Slope Method for Long-Term Forecasting of Stock Price Trends
Advances in Mathematical Physics, 2016 A stock price is a typical but complex type of time series data. We used the effective prediction of long-term time series data to schedule an investment strategy and obtain higher profit.
Chun-xue Nie, Xue-bo Jin
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