Stock price prediction has consistently been an extremely dynamic field of exploration and research work. However, arriving at the ideal degree of precision is still an enticing challenge. In this paper, we are proposing a combined effort of using efficient machine learning techniques coupled with a...
Göçken M, Özçalici M, Boru A, Dosdogru AT (2019) Stock price prediction using hybrid soft computing models incorporating parameter tuning and input variable selection. Neural Comput Appl 31(2):577–592 Article Google Scholar Graves A, Jaitly N (2014) Towards end-to-end speech rec...
The sentiment analysis model is integrated with the LSTM time series model to predict the stock’s opening price and the results show that this model can improve the prediction accuracy. Jia (2016) discussed the effectiveness of LSTM in stock price prediction research and showed that LSTM is an...
the SVR model was used to establish a prediction model for the nonlinearity stock price.Real data sets of stock 600377 was used for simulation experiments base on the model of PCA-FOA-SVR.Experimental results indicate that the PCAFOA-SVR model can improve the accuracy of prediction and reduce ...
Stock price prediction is an important issue in the financial world, as it contributes to the development of effective strategies for stock exchange transactions. In this paper, we propose a generic framework employing Long Short-Term Memory (LSTM) and convolutional neural network (CNN) for adversar...
media network and allows investors to collaborate with over 10 million TradingView users. The platform also has analysis tools that can help predict a stock’s price action, and it offers paper or simulated trading to help investors get used to applying their research without real money at stake...
s stock price for 2030 involves an in depth evaluation of its financial fitness, marketplace dynamics, technological innovations, aggressive panorama, and macroeconomic factors. This complete article ambitions to offer stock fanatics with an knowledgeable prediction of Amazon’s inventory overall ...
International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (2013) View more references Cited by (57) VGC-GAN: A multi-graph convolution adversarial network for stock price prediction 2024, Expert Systems with Applications ...
Firstly, the preponderance of prior research concentrates on the repercussions of energy price volatility within financial markets (Oberndorfer, 2009; Jarrett et al., 2019). In contrast, our study introduces a novel perspective by scrutinizing the influence of energy consumption, thereby augmenting the...
Amazon Stock Price Prediction: Low Of the analysts polled, there was a consensus between two financial outlets of a low amazon price prediction of $106. The other group predicts Amazon’s stock price could sink as low as $90. While it wouldn’t be lower than it started the year, it isn...