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Deep Learning in Stock Market Forecasting: Comparative Analysis of Neural Network Architectures Across NSE and NYSE
4 references·1 citing·21 second hop
Deep Learning in Stock Market Forecasting: Comparative Analysis of Neural Network Architectures Across NSE and NYSE (2024)Deep Learning in Stock Market Forecasting…Optimizing E-Commerce Profits: A Comprehensive Machine Learning Framework for Dynamic Pricing and Predicting Online Purchases (2023)Optimizing E-Commerce Profits…Neural Networks for Financial Time Series Forecasting (2022)Neural Networks for Financial…An efficient real-time stock prediction exploiting incremental learning and deep learning (2022)An efficient real-time stock …Short-term stock market price trend prediction using a comprehensive deep learning system (2020)Short-term stock market price…Advancements in Retail Price Optimization: Leveraging Machine Learning Models for Profitability and Competitiveness (2024)Advancements in Retail Price …EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Stock Price Prediction Using the ARIMA Model (2014)Deep learning with long short-term memory networks for financial market predictions (2017)Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process (2021)Forecasting Stock Market Prices Using Machine Learning and Deep Learning Models: A Systematic Review, Performance Analysis and Discussion of Implications (2023)Survey of feature selection and extraction techniques for stock market prediction (2023)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Agricultural Price Prediction Based on Combined Forecasting Model under Spatial-Temporal Influencing Factors (2022)Forecasting Day-Ahead Brent Crude Oil Prices Using Hybrid Combinations of Time Series Models (2023)Recurrent ensemble random vector functional link neural network for financial time series forecasting (2024)Financial time series forecasting using support vector machines (2003)Time series forecasting using a hybrid ARIMA and neural network model (2003)High Frequency Trading and the New-Market Makers (2012)Deep learning for algorithmic trading: A systematic review of predictive models and optimization strategies (2025)A Machine Learning Framework for Predicting Purchase by Online Customers based on Dynamic Pricing (2014)Predicting property prices with machine learning algorithms (2020)A systematic review of supply chain analytics for targeted ads in E-commerce (2024)Revolutionizing Retail: A Hybrid Machine Learning Approach for Precision Demand Forecasting and Strategic Decision-Making in Global Commerce (2024)Revolutionizing Banking Decision-Making: A Deep Learning Approach to Predicting Customer Behavior (2024)Data Driven Retail Price Optimization using XGBoost and Predictive Modeling (2025)
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References

  • 2020Short-term stock market price trend prediction using a comprehensive deep learning system382 cited
  • 2022Neural Networks for Financial Time Series Forecasting95 cited
  • 2022An efficient real-time stock prediction exploiting incremental learning and deep learning67 cited
  • 2023Optimizing E-Commerce Profits: A Comprehensive Machine Learning Framework for Dynamic Pricing and Predicting Online Purchases39 cited

Cited by

  • 2024Advancements in Retail Price Optimization: Leveraging Machine Learning Models for Profitability and Competitiveness14 cited

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