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Stock price forecasting based on LLE-BP neural network model
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Stock price forecasting based on LLE-BP neural network model (2020)Stock price forecasting based on LLE-BP n…Support vector regression with chaos-based firefly algorithm for stock market price forecasting (2012)Support vector regression wit…Stock price forecast using Bayesian network (2012)Stock price forecast using Ba…Stock Market Trend Prediction Using Deep Learning Approach (2024)Stock Market Trend Prediction…Transformer-based forecasting for intraday trading in the Shanghai crude oil market: Analyzing open-high-low-close prices (2023)Transformer-based forecasting…A stock time series forecasting approach incorporating candlestick patterns and sequence similarity (2022)A stock time series forecasti…Research on GDP Forecast Analysis Combining BP Neural Network and ARIMA Model (2021)Research on GDP Forecast Anal…Time Series Analysis: Forecasting and Control. (1978)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information (2017)Stock market movement forecast: A Systematic review (2020)A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction (2021)Time Series Analysis Forecasting and Control. (1971)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)A causal feature selection algorithm for stock prediction modeling (2014)Improved v -Support vector regression model based on variable selection and brain storm optimization for stock price forecasting (2016)A new hybrid financial time series prediction model (2020)Forecasting Horticultural Products Price Using ARIMA Model and Neural Network Based on a Large-Scale Data Set Collected by Web Crawler (2019)A comparative study on the prediction of the BP artificial neural network model and the ARIMA model in the incidence of AIDS (2020)A network traffic forecasting method based on SA optimized ARIMA–BP neural network (2021)Stock price prediction based on deep neural networks (2019)A novel graph convolutional feature based convolutional neural network for stock trend prediction (2020)Financial time series forecasting with multi-modality graph neural network (2021)Attention based adaptive spatial–temporal hypergraph convolutional networks for stock price trend prediction (2023)A deep learning integrated framework for predicting stock index price and fluctuation via singular spectrum analysis and particle swarm optimization (2024)Model-driven multimodal LSTM-CNN for unbiased structural forecasting of European Union allowances open-high-low-close price (2024)Principles of corporate finance (1982)The Long-Run Evolution of Energy Prices (1999)Deep learning with long short-term memory networks for financial market predictions (2017)Major Issues in High-Frequency Financial Data Analysis: A Survey of Solutions (2025)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)NSE Stock Market Prediction Using Deep-Learning Models (2018)Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis (2020)
this work references cited by second hop

References

  • 2012Support vector regression with chaos-based firefly algorithm for stock market price forecasting466 cited
  • 2012Stock price forecast using Bayesian network100 cited

Cited by

  • 2022A stock time series forecasting approach incorporating candlestick patterns and sequence similarity49 cited
  • 2024Stock Market Trend Prediction Using Deep Learning Approach44 cited
  • 2023Transformer-based forecasting for intraday trading in the Shanghai crude oil market: Analyzing open-high-low-close prices42 cited
  • 2021Research on GDP Forecast Analysis Combining BP Neural Network and ARIMA Model36 cited

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