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2024 | OriginalPaper | Buchkapitel

A LSTM Based Intelligent Framework for Financial Stock Prediction

verfasst von : Oindrila Ajha, Souryadipta Das, Tiyasha Dutta, Soham Das, Sushruta Mishra, Laith Abualigah

Erschienen in: Proceedings of Third International Conference on Computing and Communication Networks

Verlag: Springer Nature Singapore

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Abstract

Stock analysis is a method used by traders and financial experts to evaluate the securities market and make informed decisions about buying and selling shares. It involves conducting extensive research to assess the performance and quality of a stock or an industry before investing. Stock analysis can take different forms, but traders usually use two main categories: technical and fundamental analysis. Technical analysis involves examining documented value outlines and researching previous market structures to predict future advances. On the other hand, fundamental analysis looks at data from the organization and its macroeconomic situation, such as financial history and revenue streams, to assess prospective gains from exchanges. The ultimate goal of stock analysis is to choose the best times to place trades and make the appropriate buying and selling decisions. Traders may specialize in one type of analysis or use a combination of both. Regardless of the approach, conducting extensive research is crucial to ensure wise investments that produce profit and avoid wasting hard-earned money.

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Metadaten
Titel
A LSTM Based Intelligent Framework for Financial Stock Prediction
verfasst von
Oindrila Ajha
Souryadipta Das
Tiyasha Dutta
Soham Das
Sushruta Mishra
Laith Abualigah
Copyright-Jahr
2024
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-97-0892-5_23