Citing Works
Stock recommendation methods for stability
Masami Takata, Natsu Kidoguchi, Miho Chiyonobu
The Journal of Supercomputing · 2024
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Stock Trend Prediction with Machine Learning: Incorporating Inter-Stock Correlation Information through Laplacian Matrix
Wenxuan Zhang, Benzhuo Lu
Big Data and Cognitive Computing · 2024
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Survey on Stock Price Forecasting
Bhavitavya Jadhav, Shivraje Kakade, Shrushti Kohakade, Shreya Bodke, Prof. Prachi Pise
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · 2024
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Tata Motors Stock Price Prediction Using Predictive Artificial Intelligence
M. Udaya Shankar, Sebastian Terence, Jude Immaculate, M. M. Anishin Raj, Vinoth Ewards
International Conference on Advanced Computing and Communication Systems (ICACCS) · 2024
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Time Series Forecasting of KSE-100 Index Using a Hybrid ESN-LSTM Model
Taimur Shahzad Gill, Syed Ibrahim Zahid
International Conference on Robotics and Automation in Industry (ICRAI) · 2024
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Transforming Finance With Deep Learning Predictions
Ashy Sebastian, Veerta Tantia
Advances in finance, accounting, and economics book series · 2024
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Utilizando rede LSTM para predição de ações de vários setores econômicos da Bolsa de Valores
Taciano Lopes de Amorim, Gustavo Rau De Almeida Callou, Saulo Pereira, Anderson Sena dos Santos
Gestão org · 2024
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A comparative study on effect of news sentiment on stock price prediction with deep learning architecture
Keshab Raj Dahal, Nawa Raj Pokhrel, Santosh Gaire, Sharad Mahatara, Rajendra Prasad Joshi, Ankrit Gupta, Huta Banjade, Jeorge Joshi
PLoS ONE · 2023
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A Concise Survey On Predicting Stock Prices
Obed Kondiparthy, Sandeep Nimmagadda, Girish Kumar Mannepalli Venkata, Joseph Rahul Gera, Vijay Kumar Burugari, Kailasam Swathi
International Conference on Advanced Computing and Communication Systems (ICACCS) · 2023
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A novel deep reinforcement learning framework with BiLSTM-Attention networks for algorithmic trading
Yuling Huang, Xiaoxiao Wan, Lin Zhang, Xiaoping Lu
Expert Systems with Applications · 2023
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