Application of Neural Network to Technical Analysis of Stock Market Prediction

2022 3rd International Conference on Intelligent Engineering and Management (ICIEM)(2022)

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摘要
This paper strives to evolve and innovate a stricter neural network reach to anticipate the stock market. This paper depicts a technical analysis of stock market prognosis through neural networks. The stock market prognosis could be analyzed utilizing numerous varieties of mechanisms of machine learning procedures. This paper examines purchasing and selling prices of stocks on (BSE) and dissects the enclosed representation. I pressed the in-depth Long-Short-Term Memory Neural Network (LSTM) with an entrenched layer and LSTM Neural Network to anticipate the stock market. The experimental arrangement designates better by applying deep LSTM with layers. The prediction system manifests accurate results which furnishes an extraordinary profit.
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关键词
Automated encoder,LSTM Neural Network,Stock market prognosis,Stock Vector,deep learning,multilinear neural network
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