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Stock Price Prediction on Daily Stock Data using Deep Neural Networks
5 references·2 citing·30 second hop
Stock Price Prediction on Daily Stock Data using Deep Neural Networks (2018)Stock Price Prediction on Daily Stock Dat…Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Stock price prediction using …Predicting Stock Market Behavior using Data Mining Technique and News Sentiment Analysis (2017)Predicting Stock Market Behav…Artificial Neural Networks architectures for stock price prediction: comparisons and applications (2016)Artificial Neural Networks ar…Performance analysis of Indian stock market index using neural network time series model (2013)Performance analysis of India…Forecasting stock market movement direction with support vector machine (2004)Forecasting stock market move…Stock Price Predictions with LSTM Neural Networks and Twitter Sentiment (2021)Stock Price Predictions with …Predicting Stock Prices Using Dynamic LSTM Models (2019)Predicting Stock Prices Using…Designing a neural network for forecasting financial and economic time series (1996)Forecasting with artificial neural networks: (1998)Introductory Econometrics for Finance (2008)Selected Indian stock predictions using a hybrid ARIMA-GARCH model (2014)Stock Price Prediction Using Artificial Neural Network (2014)VGC-GAN: A multi-graph convolution adversarial network for stock price prediction (2023)The Cross-Section of Expected Stock Returns (1992)Application of support vector machines in financial time series forecasting (2001)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Forecasting Intraday stock price trends with text mining techniques (2004)Harvesting social media sentiment analysis to enhance stock market prediction using deep learning (2021)A comprehensive review on multiple hybrid deep learning approaches for stock prediction (2022)News-based intelligent prediction of financial markets using text mining and machine learning: A systematic literature review (2023)Time Series Analysis Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control (1977)25 years of time series forecasting (2006)NSE Stock Market Prediction Using Deep-Learning Models (2018)Stock Closing Price Prediction using Machine Learning Techniques (2020)Applications of deep learning in stock market prediction: Recent progress (2021)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Time Series Analysis: Forecasting and Control (1977)Generalized autoregressive conditional heteroskedasticity (1986)A Genetic Algorithm (GA) Approach to the Portfolio Design Based on Market Movements and Asset Valuations (2020)Twitter mood predicts the stock market (2011)Deep learning with long short-term memory networks for financial market predictions (2017)Intraday prediction of Borsa Istanbul using convolutional neural networks and feature correlations (2017)Deep learning for decision making and the optimization of socially responsible investments and portfolio (2019)Forecasting directional movement of Forex data using LSTM with technical and macroeconomic indicators (2021)
this work references cited by second hop

References

  • 2004Forecasting stock market movement direction with support vector machine1,119 cited
  • 2017Stock price prediction using LSTM, RNN and CNN-sliding window model1,096 cited
  • 2016Artificial Neural Networks architectures for stock price prediction: comparisons and applications206 cited
  • 2017Predicting Stock Market Behavior using Data Mining Technique and News Sentiment Analysis169 cited
  • 2013Performance analysis of Indian stock market index using neural network time series model86 cited

Cited by

  • 2021Stock Price Predictions with LSTM Neural Networks and Twitter Sentiment39 cited
  • 2019Predicting Stock Prices Using Dynamic LSTM Models35 cited

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