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Robust Analysis of Stock Price Time Series Using CNN and LSTM-Based Deep Learning Models
5 references·2 citing·34 second hop
Robust Analysis of Stock Price Time Series Using CNN and LSTM-Based Deep Learning Models (2020)Robust Analysis of Stock Price Time Serie…Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models (2021)Stock Price Prediction Using …Deep LSTM with Reinforcement Learning Layer for Financial Trend Prediction in FX High Frequency Trading Systems (2019)Deep LSTM with Reinforcement …Stock price prediction using linear regression based on sentiment analysis (2015)Stock price prediction using …Stock Market Forecasting Using LASSO Linear Regression Model (2014)Stock Market Forecasting Usin…A moving-average filter based hybrid ARIMA–ANN model for forecasting time series data (2014)A moving-average filter based…A self-regulated generative adversarial network for stock price movement prediction based on the historical price and tweets (2022)A self-regulated generative a…Stock Price Prediction Using Time Series, Econometric, Machine Learning, and Deep Learning Models (2021)Stock Price Prediction Using …Time Series Analysis, Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control. (1978)Time series forecasting using a hybrid ARIMA and neural network model (2003)A hybrid ETS–ANN model for time series forecasting (2017)Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition (2019)Autoregressive models in environmental forecasting time series: a theoretical and application review (2023)Twitter mood predicts the stock market (2011)Leveraging social media news to predict stock index movement using RNN-boost (2018)Social Media and Stock Market Prediction: A Big Data Approach (2021)Analysis and Forecasting of Financial Time Series Using CNN and LSTM-Based Deep Learning Models (2022)The Limits of Arbitrage (1995)A systematic review of fundamental and technical analysis of stock market predictions (2019)Deep Robust Reinforcement Learning for Practical Algorithmic Trading (2019)Forecasting stock prices of fintech companies of India using random forest with high-frequency data (2023)Forex market forecasting using machine learning: Systematic Literature Review and meta-analysis (2023)Artificial intelligence techniques in financial trading: A systematic literature review (2024)The relationship between earnings' yield, market value and return for NYSE common stocks (1983)Persuasive evidence of market inefficiency (1985)Size and Book-to-Market Factors in Earnings and Returns (1995)A time series analysis-based stock price prediction using machine learning and deep learning models (2020)Stock Price Prediction Using CNN and LSTM-Based Deep Learning Models (2020)A Stock Price Prediction Method Based on BiLSTM and Improved Transformer (2023)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Lifetime Portfolio Selection under Uncertainty: The Continuous-Time Case (1969)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Forecasting stock market movement direction with support vector machine (2004)Machine Learning Techniques and Use of Event Information for Stock Market Prediction: A Survey and Evaluation (2006)Stock market value prediction using neural networks (2010)A Bayesian regularized artificial neural network for stock market forecasting (2013)Stock market forecasting by using a hybrid model of exponential fuzzy time series (2015)Stock Market Forecasting using Machine Learning: Today and Tomorrow (2019)An explainable deep learning approach for stock market trend prediction (2024)
this work references cited by second hop

References

  • 2014A moving-average filter based hybrid ARIMA–ANN model for forecasting time series data505 cited
  • 2021Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models205 cited
  • 2015Stock price prediction using linear regression based on sentiment analysis157 cited
  • 2014Stock Market Forecasting Using LASSO Linear Regression Model107 cited
  • 2019Deep LSTM with Reinforcement Learning Layer for Financial Trend Prediction in FX High Frequency Trading Systems82 cited

Cited by

  • 2021Stock Price Prediction Using Time Series, Econometric, Machine Learning, and Deep Learning Models59 cited
  • 2022A self-regulated generative adversarial network for stock price movement prediction based on the historical price and tweets38 cited

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