Stock market index prediction based on reservoir computing models

An integrated framework of deep learning and knowledge graph for prediction of stock price trend: An application in Chinese stock exchange market

(2020) Jiawei Long et al.   APPLIED SOFT COMPUTING

A novel Deep Learning Framework: Prediction and Analysis of Financial Time Series using CEEMD and LSTM

(2020) Yong'an Zhang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Developing a deep learning framework with two-stage feature selection for multivariate financial time series forecasting

(2020) Tong Niu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Stock market forecasting with super-high dimensional time-series data using ConvLSTM, trend sampling, and specialized data augmentation

(2020) Si Woon Lee et al.   EXPERT SYSTEMS WITH APPLICATIONS

Stock price prediction using deep learning and frequency decomposition

(2020) Hadi Rezaei et al.   EXPERT SYSTEMS WITH APPLICATIONS

Forecasting daily stock trend using multi-filter feature selection and deep learning

(2020) Anwar Ul Haq et al.   EXPERT SYSTEMS WITH APPLICATIONS

Recent advances in physical reservoir computing: A review

(2019) Gouhei Tanaka et al.   NEURAL NETWORKS

Stock price prediction based on deep neural networks

(2019) Pengfei Yu et al.   NEURAL COMPUTING & APPLICATIONS

Comparing the effectiveness of deep feedforward neural networks and shallow architectures for predicting stock price indices

(2019) Larry Olanrewaju Orimoloye et al.   EXPERT SYSTEMS WITH APPLICATIONS

DSTP-RNN: A dual-stage two-phase attention-based recurrent neural network for long-term and multivariate time series prediction

(2019) Yeqi Liu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Detection of generalized synchronization using echo state networks

(2018) D. Ibáñez-Soria et al.   CHAOS

Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models

(2018) Ha Young Kim et al.   EXPERT SYSTEMS WITH APPLICATIONS

A novel data-driven stock price trend prediction system

(2018) Jing Zhang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Predicting Short-Term Stock Prices using Ensemble Methods and Online Data Sources

(2018) Bin Weng et al.   EXPERT SYSTEMS WITH APPLICATIONS

ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module

(2018) Yujin Baek et al.   EXPERT SYSTEMS WITH APPLICATIONS

On the application of reservoir computing networks for noisy image recognition

(2018) Azarakhsh Jalalvand et al.   NEUROCOMPUTING

EMD2FNN: A strategy combining empirical mode decomposition and factorization machine based neural network for stock market trend prediction

(2018) Feng Zhou et al.   EXPERT SYSTEMS WITH APPLICATIONS

A dynamic trading rule based on filtered flag pattern recognition for stock market price forecasting

(2017) Rubén Arévalo et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies

(2017) Eunsuk Chong et al.   EXPERT SYSTEMS WITH APPLICATIONS

Reservoir computing using dynamic memristors for temporal information processing

(2017) Chao Du et al.   Nature Communications

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Investigation of market efficiency and Financial Stability between S&P 500 and London Stock Exchange: Monthly and yearly Forecasting of Time Series Stock Returns using ARMA model

(2016) Mohammad Mahdi Rounaghi et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Recurrent neural network and a hybrid model for prediction of stock returns

(2015) Akhter Mohiuddin Rather et al.   EXPERT SYSTEMS WITH APPLICATIONS

Predicting stock market index using fusion of machine learning techniques

(2015) Jigar Patel et al.   EXPERT SYSTEMS WITH APPLICATIONS

Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques

(2015) Jigar Patel et al.   EXPERT SYSTEMS WITH APPLICATIONS

Evaluating multiple classifiers for stock price direction prediction

(2015) Michel Ballings et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deep learning

(2015) Yann LeCun et al.   NATURE

Multivariate nonlinear time-series estimation using delay-based reservoir computing

(2014) M. Escalona-Morán et al.   European Physical Journal-Special Topics

Reservoir computing and extreme learning machines for non-linear time-series data analysis

(2012) J.B. Butcher et al.   NEURAL NETWORKS

Prediction for noisy nonlinear time series by echo state network based on dual estimation

(2012) Chunyang Sheng et al.   NEUROCOMPUTING

Information processing using a single dynamical node as complex system

(2011) L. Appeltant et al.   Nature Communications

A comparative study of Reservoir Computing strategies for monthly time series prediction

(2010) F. Wyffels et al.   NEUROCOMPUTING

Short-term stock price prediction based on echo state networks

(2008) Xiaowei Lin et al.   EXPERT SYSTEMS WITH APPLICATIONS

A neural network with a case based dynamic window for stock trading prediction

(2008) Pei-Chann Chang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network

(2008) Yudong Zhang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Soft-computing techniques and ARMA model for time series prediction

(2007) I. Rojas et al.   NEUROCOMPUTING