Predictions and Trend Analysis for Stock Market Using Machine Learning Algorithms
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7622-5_22
Reference12 articles.
1. Lim JY, Lim KM, Lee CP (2021) Stacked bidirectional long short- term memory for stock market analysis. In: 2021 IEEE international conference on artificial intelligence in engineering and technology (IICAIET)
2. Shi M, Zhao Q (2020) Stock market trend prediction and investment strategy by deep neural networks. In: 2020 11th international conference on awareness science and technology (iCAST), pp 1–6. https://doi.org/10.1109/iCAST51195.2020.9319488
3. Ozbilen ML, Yaslan Y (2021) Portfolio construction with stock prices¨ predicted by LSTM using enhanced features. In: 2021 6th international conference on computer science and engineering (UBMK), pp 639–643. https://doi.org/10.1109/UBMK52708.2021.9558889
4. Vij A, Saxena K, Rana A (2021) Prediction in stock price using of python and machine learning. In: 2021 9th international conference on reliability, infocom technologies and optimization (trends and future directions) (ICRITO), pp 1–4. https://doi.org/10.1109/ICRITO51393.2021.9596513
5. Isha S, Dixit MK, Ahirwar D, Sakethnath S, Rakha M (2021) Stock prediction by analyzing the past market trend. In: 2021 9th international conference on reliability, infocom technologies and optimization (trends and future directions) (ICRITO), pp 1–4. https://doi.org/10.1109/ICRITO51393.2021.9596263
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