SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Analysis of Financial Time Series Forecasting using Deep Learning Model
16 references·1 citing·40 second hop
Analysis of Financial Time Series Forecasting using Deep Learning Model (2021)Analysis of Financial Time Series Forecas…Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Generación de series de tiemp…Forecasting method of stock market volatility in time series data based on mixed model of ARIMA and XGBoost (2020)Forecasting method of stock m…Stock Market Analysis: A Review and Taxonomy of Prediction Techniques (2019)Stock Market Analysis: A Revi…Development of stock market trend prediction system using multiple regression (2019)Development of stock market t…Combining Principal Component Analysis, Discrete Wavelet Transform and XGBoost to trade in the financial markets (2019)Combining Principal Component…Stock price prediction using support vector regression on daily and up to the minute prices (2018)Stock price prediction using …Predicting the direction of stock market prices using tree-based classifiers (2018)Predicting the direction of s…NSE Stock Market Prediction Using Deep-Learning Models (2018)NSE Stock Market Prediction U…A hybrid financial trading support system using multi-category classifiers and random forest (2018)A hybrid financial trading su…Stock price prediction using hybrid soft computing models incorporating parameter tuning and input variable selection (2017)Stock price prediction using …Stock market's price movement prediction with LSTM neural networks (2017)Stock market's price movement…Deep learning with long short-term memory networks for financial market predictions (2017)Deep learning with long short…Stock Price Prediction Using the ARIMA Model (2014)Stock Price Prediction Using …Predicting stock market index using fusion of machine learning techniques (2014)Predicting stock market index…Optimization of the trading rule in foreign exchange using genetic algorithm (2009)Optimization of the trading r…Hybrid Intelligent Systems for Stock Market Analysis (2001)Hybrid Intelligent Systems fo…A hybrid approach to time series forecasting: Integrating ARIMA and prophet for improved accuracy (2025)A hybrid approach to time ser…Generalized autoregressive conditional heteroskedasticity (1986)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Sentiment analysis on social media for stock movement prediction (2015)Computational Intelligence and Financial Markets: A Survey and Future Directions (2016)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)On Persistence in Mutual Fund Performance (1997)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)Financial time series forecasting using support vector machines (2003)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)A Survey of Forex and Stock Price Prediction Using Deep Learning (2021)Applications of deep learning in stock market prediction: Recent progress (2021)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)Survey of feature selection and extraction techniques for stock market prediction (2023)Forecasting with artificial neural networks: (1998)Time series forecasting using a hybrid ARIMA and neural network model (2003)Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Optimizing LSTM for time series prediction in Indian stock market (2020)Stock price prediction using deep learning and frequency decomposition (2020)Time Series Momentum (2011)Mean–variance portfolio optimization using machine learning-based stock price prediction (2020)Forecasting gold price with the XGBoost algorithm and SHAP interaction values (2021)Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process (2021)Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm (2010)Forecasting daily stock market return using dimensionality reduction (2016)Predicting the Direction of US Stock Prices Using Effective Transfer Entropy and Machine Learning Techniques (2020)Forecasting stock market for an efficient portfolio by combining XGBoost and Hilbert–Huang transform (2022)Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends? (1980)Twitter mood predicts the stock market (2011)Deep Learning for Stock Market Prediction (2020)Stock price prediction with optimized deep LSTM network with artificial rabbits optimization algorithm (2023)A Stochastic Approximation Method (1951)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Deep learning for financial applications : A survey (2020)Financial time series forecasting with multi-modality graph neural network (2021)A systematic review of fundamental and technical analysis of stock market predictions (2019)A CNN-LSTM-Based Model to Forecast Stock Prices (2020)
this work references cited by second hop

References

  • 2017Deep learning with long short-term memory networks for financial market predictions2,827 cited
  • 2021Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN)1,463 cited
  • 2014Stock Price Prediction Using the ARIMA Model1,153 cited
  • 2017Stock market's price movement prediction with LSTM neural networks943 cited
  • 2018NSE Stock Market Prediction Using Deep-Learning Models615 cited
  • 2014Predicting stock market index using fusion of machine learning techniques608 cited
  • 2019Stock Market Analysis: A Review and Taxonomy of Prediction Techniques465 cited
  • 2018Predicting the direction of stock market prices using tree-based classifiers376 cited
  • 2018Stock price prediction using support vector regression on daily and up to the minute prices330 cited
  • 2019Combining Principal Component Analysis, Discrete Wavelet Transform and XGBoost to trade in the financial markets290 cited
  • 2020Forecasting method of stock market volatility in time series data based on mixed model of ARIMA and XGBoost242 cited
  • 2001Hybrid Intelligent Systems for Stock Market Analysis176 cited
  • 2019Development of stock market trend prediction system using multiple regression75 cited
  • 2018A hybrid financial trading support system using multi-category classifiers and random forest

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

73 cited
  • 2009Optimization of the trading rule in foreign exchange using genetic algorithm62 cited
  • 2017Stock price prediction using hybrid soft computing models incorporating parameter tuning and input variable selection58 cited
  • Cited by

    • 2025A hybrid approach to time series forecasting: Integrating ARIMA and prophet for improved accuracy36 cited