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Stock price prediction: comparison of different moving average techniques using deep learning model
9 references·6 citing·42 second hop
Stock price prediction: comparison of different moving average techniques using deep learning model (2024)Stock price prediction: comparison of dif…Stock Price Prediction Using CNN and LSTM-Based Deep Learning Models (2020)Stock Price Prediction Using …Stock Closing Price Prediction using Machine Learning Techniques (2020)Stock Closing Price Predictio…Short-term stock market price trend prediction using a comprehensive deep learning system (2020)Short-term stock market price…A Survey on Machine Learning for Stock Price Prediction: Algorithms and Techniques (2020)A Survey on Machine Learning …Stock price prediction using DEEP learning algorithm and its comparison with machine learning algorithms (2019)Stock price prediction using …Stock price prediction based on deep neural networks (2019)Stock price prediction based …Stock price prediction using support vector regression on daily and up to the minute prices (2018)Stock price prediction using …Short term stock price prediction using deep learning (2017)Short term stock price predic…A machine learning approach for stock price prediction (2014)A machine learning approach f…Deep learning for financial forecasting: A review of recent trends (2025)Deep learning for financial f…Deep learning for algorithmic trading: A systematic review of predictive models and optimization strategies (2025)Deep learning for algorithmic…A Dual Output Temporal Convolutional Network With Attention Architecture for Stock Price Prediction and Risk Assessment (2025)A Dual Output Temporal Convol…Stock Market Prediction With Transductive Long Short-Term Memory and Social Media Sentiment Analysis (2024)Stock Market Prediction With …FNSPID: A Comprehensive Financial News Dataset in Time Series (2024)FNSPID: A Comprehensive Finan…A deep fusion model for stock market prediction with news headlines and time series data (2024)A deep fusion model for stock…Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Stock Market Prediction Using Artificial Neural Networks (2012)Support vector regression with modified firefly algorithm for stock price forecasting (2018)Analysis of look back period for stock price prediction with RNN variants: A case study on banking sector of NEPSE (2020)Financial time series forecasting with deep learning : A systematic literature review: 2005–2019 (2020)Financial time series forecasting using support vector machines (2003)The Efficient Market Hypothesis and Its Critics (2003)Fine-tuned support vector regression model for stock predictions (2021)The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction (2021)Economic prediction using neural networks: the case of IBM daily stock returns (1988)Time series forecasting using a hybrid ARIMA and neural network model (2003)Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500 (2016)Harvesting social media sentiment analysis to enhance stock market prediction using deep learning (2021)Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process (2021)Predicting stock market index using LSTM (2022)Application of support vector machines in financial time series forecasting (2001)Forecasting stock market movement direction with support vector machine (2004)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey (2021)Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM (2022)Forecasting Stock Market Prices Using Machine Learning and Deep Learning Models: A Systematic Review, Performance Analysis and Discussion of Implications (2023)Forecasting principles and practiceIntroduction to time series analysis and forecasting (2008)Twitter mood predicts the stock market (2011)A time series analysis-based stock price prediction using machine learning and deep learning models (2020)Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agenda (2021)Forecasting stock price using integrated artificial neural network and metaheuristic algorithms compared to time series models (2021)Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Feature selection and deep neural networks for stock price direction forecasting using technical analysis indicators (2021)Examining the research taxonomy of artificial intelligence, deep learning & machine learning in the financial sphere—a bibliometric analysis (2023)SMP-DL: a novel stock market prediction approach based on deep learning for effective trend forecasting (2023)Stock Price Prediction Using the ARIMA Model (2014)Deep learning with long short-term memory networks for financial market predictions (2017)ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module (2018)Stock Market Analysis and Prediction for Nifty50 using LSTM Deep Learning Approach (2022)Stock price prediction based on LSTM and LightGBM hybrid model (2022)A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting (2021)Survey of feature selection and extraction techniques for stock market prediction (2023)Fuzzy Logic-Based Data Analytics on Predicting the Effect of Hurricanes on the Stock Market (2018)Sustainable Stock Market Prediction Framework Using Machine Learning Models (2022)Artificial intelligence applications in finance: a survey (2023)
this work references cited by second hop

References

  • 2020Stock Closing Price Prediction using Machine Learning Techniques638 cited
  • 2020Short-term stock market price trend prediction using a comprehensive deep learning system382 cited
  • 2019Stock price prediction based on deep neural networks378 cited
  • 2018Stock price prediction using support vector regression on daily and up to the minute prices330 cited
  • 2019Stock price prediction using DEEP learning algorithm and its comparison with machine learning algorithms293 cited
  • 2020Stock Price Prediction Using CNN and LSTM-Based Deep Learning Models166 cited
  • 2020A Survey on Machine Learning for Stock Price Prediction: Algorithms and Techniques137 cited
  • 2017Short term stock price prediction using deep learning127 cited
  • 2014A machine learning approach for stock price prediction113 cited

Cited by

  • 2024Stock Market Prediction With Transductive Long Short-Term Memory and Social Media Sentiment Analysis66 cited
  • 2024FNSPID: A Comprehensive Financial News Dataset in Time Series61 cited
  • 2025Deep learning for financial forecasting: A review of recent trends61 cited
  • 2024A deep fusion model for stock market prediction with news headlines and time series data51 cited
  • 2025Deep learning for algorithmic trading: A systematic review of predictive models and optimization strategies

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39 cited
  • 2025A Dual Output Temporal Convolutional Network With Attention Architecture for Stock Price Prediction and Risk Assessment35 cited