使用 LSTM 算法结合指数移动平均线 (EMA) 和相对强弱指数 (RSI) 指标的股市预测模型

Q3 Computer Science

Journal of The Institution of Engineers (India): Series B Pub Date : 2024-03-28 DOI:10.1007/s40031-024-01037-8

Rahul Maruti Dhokane, Sohit Agarwal

引用次数: 0

摘要

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A Predictive Model of the Stock Market Using the LSTM Algorithm with a Combination of Exponential Moving Average (EMA) and Relative Strength Index (RSI) Indicators

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来源期刊

Journal of The Institution of Engineers (India): Series B Computer Science-Computer Science (all)

CiteScore

3.10

自引率

0.00%

发文量

124

期刊介绍： This series attempts to cover the research findings & developments, State-of-the-Art research & fundamental advances in all aspects of electrical, electronics & telecommunication, computer science and engineering. It covers the outstanding research achievements in a broad area of telecommunication engineering with the help of hi-tech expertise. The international and multidisciplinary nature of this field also bears the mission of being the window to academic and professional achievements. The subject areas wrap branches of Electronics and Information Sciences covering, both theoretical research and technological development. The disciplines include but are not limited to the following areas under Series-B:Electrical Engineering Materials, Electrical Machinery & Power Apparatus, Energy StudiesHigh Voltage Engineering, Illumination Engineering, Instrumentation & ControlLegal, Commercial & Safety Aspects of Electrical Engineering Practice, Power Electronics & Drives, Power System PerformanceCommunication Engineering, Electromagnetics, Control Systems & Automation· Circuit and Systems, Electronic Devices & Solid State, Radar & Microwave EngineeringTesting, Evaluation, Quality Control & MeasurementAlgorithms, Programming Paradigms & Compilers, Operating Systems, Performance Evaluation Knowledge Engineering, Computer Communication Network, Data Base System· Signal Processing, Image ProcessingPeer Review Information: This journal follows a Double blind peer review process.