Machine learning techniques and data for stock market forecasting: A literature review
出版年份 2022 全文链接
标题
Machine learning techniques and data for stock market forecasting: A literature review
作者
关键词
Classification, Data mining, Financial market, Predictive performance, Regression, Stock market prediction
出版物
EXPERT SYSTEMS WITH APPLICATIONS
Volume -, Issue -, Pages 116659
出版商
Elsevier BV
发表日期
2022-02-19
DOI
10.1016/j.eswa.2022.116659
参考文献
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- (2021) Salvatore Carta et al. PeerJ Computer Science
- A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction
- (2021) Nan Jing et al. EXPERT SYSTEMS WITH APPLICATIONS
- Stock market index prediction based on reservoir computing models
- (2021) Wei-Jia Wang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Applications of deep learning in stock market prediction: Recent progress
- (2021) Weiwei Jiang EXPERT SYSTEMS WITH APPLICATIONS
- Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process
- (2021) Kyung Keun Yun et al. EXPERT SYSTEMS WITH APPLICATIONS
- An improved deep learning model for predicting stock market price time series
- (2020) Hui Liu et al. DIGITAL SIGNAL PROCESSING
- Dancing with Trump in the Stock Market
- (2020) Kun Yuan et al. ACM Transactions on Intelligent Systems and Technology
- Stock market movement forecast: A Systematic review
- (2020) O Bustos et al. EXPERT SYSTEMS WITH APPLICATIONS
- A CNN-LSTM-Based Model to Forecast Stock Prices
- (2020) Wenjie Lu et al. COMPLEXITY
- 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
- Literature Review: Machine Learning Techniques Applied to Financial Market Prediction
- (2019) Bruno Miranda Henrique et al. EXPERT SYSTEMS WITH APPLICATIONS
- Time series forecasting for stock market prediction through data discretization by fuzzistics and rule generation by rough set theory
- (2019) Shanoli Samui Pal et al. MATHEMATICS AND COMPUTERS IN SIMULATION
- CNNpred: CNN-based stock market prediction using a diverse set of variables
- (2019) Ehsan Hoseinzade et al. EXPERT SYSTEMS WITH APPLICATIONS
- A novel hybrid stock selection method with stock prediction
- (2019) Fengmei Yang et al. APPLIED SOFT COMPUTING
- Stock Price Pattern Prediction Based on Complex Network and Machine Learning
- (2019) Hongduo Cao et al. COMPLEXITY
- Stock price forecasting model based on modified convolution neural network and financial time series analysis
- (2019) Jiasheng Cao et al. INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
- An integrated framework of genetic network programming and multi-layer perceptron neural network for prediction of daily stock return: An application in Tehran stock exchange market
- (2019) Reza Ramezanian et al. APPLIED SOFT COMPUTING
- Exploiting intra-day patterns for market shock prediction: A machine learning approach
- (2019) Jinwen Sun et al. EXPERT SYSTEMS WITH APPLICATIONS
- Analyzing the Brazilian Financial Market through Portuguese Sentiment Analysis in Social Media
- (2019) A. E. O. Carosia et al. APPLIED ARTIFICIAL INTELLIGENCE
- Technical analysis and sentiment embeddings for market trend prediction
- (2019) Andrea Picasso et al. EXPERT SYSTEMS WITH APPLICATIONS
- Prediction of TAIEX based on hybrid fuzzy time series model with single optimization process
- (2018) Ozge Cagcag Yolcu et al. APPLIED SOFT COMPUTING
- Long-term stock index forecasting based on text mining of regulatory disclosures
- (2018) Stefan Feuerriegel et al. DECISION SUPPORT SYSTEMS
- Deep learning with long short-term memory networks for financial market predictions
- (2018) Thomas Fischer et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Forecasting stock market index daily direction: A Bayesian Network approach
- (2018) Luciana S. Malagrino et al. EXPERT SYSTEMS WITH APPLICATIONS
- New efficient hybrid candlestick technical analysis model for stock market timing on the basis of the Support Vector Machine and Heuristic Algorithms of Imperialist Competition and Genetic
- (2018) Elham Ahmadi et al. EXPERT SYSTEMS WITH APPLICATIONS
- A novel data-driven stock price trend prediction system
- (2018) Jing Zhang et al. EXPERT SYSTEMS WITH APPLICATIONS
- A combination of fuzzy similarity measures and fuzzy entropy measures for supervised feature selection
- (2018) Christoph Lohrmann 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
- Forward Forecast of Stock Price Using Sliding-Window Metaheuristic-Optimized Machine-Learning Regression
- (2018) Jui-Sheng Chou et al. IEEE Transactions on Industrial Informatics
- DeepClue: Visual Interpretation of Text-based Deep Stock Prediction
- (2018) Lei Shi et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- A new procedure in stock market forecasting based on fuzzy random auto-regression time series model
- (2018) Riswan Efendi et al. INFORMATION SCIENCES
- Kanban in software engineering: A systematic mapping study
- (2018) Muhammad Ovais Ahmad et al. JOURNAL OF SYSTEMS AND SOFTWARE
- Improving stock market prediction via heterogeneous information fusion
- (2018) Xi Zhang et al. KNOWLEDGE-BASED SYSTEMS
- Predicting the direction of stock markets using optimized neural networks with Google Trends
- (2018) Hongping Hu et al. NEUROCOMPUTING
- A novel method based on FTS with both GA-FCM and multifactor BPNN for stock forecasting
- (2018) Wenyu Zhang et al. SOFT COMPUTING
- Local and global characteristics-based kernel hybridization to increase optimal support vector machine performance for stock market prediction
- (2018) M. M. Gowthul Alam et al. KNOWLEDGE AND INFORMATION SYSTEMS
- Integrating principle component analysis and weighted support vector machine for stock trading signals prediction
- (2018) Yingjun Chen et al. NEUROCOMPUTING
- Deep Learning Approach for Short-Term Stock Trends Prediction based on Two-stream Gated Recurrent Unit Network
- (2018) L. Minh Dang et al. IEEE Access
- A study on novel filtering and relationship between input-features and target-vectors in a deep learning model for stock price prediction
- (2018) Yoojeong Song et al. APPLIED INTELLIGENCE
- Support vector regression with modified firefly algorithm for stock price forecasting
- (2018) Jun Zhang et al. APPLIED INTELLIGENCE
- Hybrid Variational Mode Decomposition and evolutionary robust kernel extreme learning machine for stock price and movement prediction on daily basis
- (2018) Ranjeeta Bisoi et al. APPLIED SOFT COMPUTING
- Forecasting financial series using clustering methods and support vector regression
- (2018) Lucas F. S. Vilela et al. ARTIFICIAL INTELLIGENCE REVIEW
- 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
- Genetic Algorithm-Optimized Long Short-Term Memory Network for Stock Market Prediction
- (2018) Hyejung Chung et al. Sustainability
- Stock market one-day ahead movement prediction using disparate data sources
- (2017) Bin Weng et al. EXPERT SYSTEMS WITH APPLICATIONS
- A feature weighted support vector machine and K-nearest neighbor algorithm for stock market indices prediction
- (2017) Yingjun Chen et al. EXPERT SYSTEMS WITH APPLICATIONS
- Forecasting daily stock market return using dimensionality reduction
- (2017) Xiao Zhong 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
- Improving stock index forecasts by using a new weighted fuzzy-trend time series method
- (2017) Abel Rubio et al. EXPERT SYSTEMS WITH APPLICATIONS
- Fusion of multiple diverse predictors in stock market
- (2017) Sasan Barak et al. Information Fusion
- Discovering public sentiment in social media for predicting stock movement of publicly listed companies
- (2017) Bing Li et al. INFORMATION SYSTEMS
- Intraday prediction of Borsa Istanbul using convolutional neural networks and feature correlations
- (2017) Hakan Gunduz et al. KNOWLEDGE-BASED SYSTEMS
- A multiple support vector machine approach to stock index forecasting with mixed frequency sampling
- (2017) Yuchen Pan et al. KNOWLEDGE-BASED SYSTEMS
- Stock price prediction using hybrid soft computing models incorporating parameter tuning and input variable selection
- (2017) Mustafa Göçken et al. NEURAL COMPUTING & APPLICATIONS
- A comprehensive cluster and classification mining procedure for daily stock market return forecasting
- (2017) Xiao Zhong et al. NEUROCOMPUTING
- Multidimensionalk-nearest neighbor model based on EEMD for financial time series forecasting
- (2017) Ningning Zhang et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Return scaling cross-correlation forecasting by stochastic time strength neural network in financial market dynamics
- (2017) Haiyan Mo et al. SOFT COMPUTING
- A Takagi–Sugeno fuzzy model combined with a support vector regression for stock trading forecasting
- (2016) Pei-Chann Chang et al. APPLIED SOFT COMPUTING
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- (2016) Mingyue Qiu et al. CHAOS SOLITONS & FRACTALS
- Forecasting movements of health-care stock prices based on different categories of news articles using multiple kernel learning
- (2016) Yauheniya Shynkevich et al. DECISION SUPPORT SYSTEMS
- An adaptive stock index trading decision support system
- (2016) Wen-Chyuan Chiang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Integrating metaheuristics and Artificial Neural Networks for improved stock price prediction
- (2016) Mustafa Göçken et al. EXPERT SYSTEMS WITH APPLICATIONS
- A novel forecasting method based on multi-order fuzzy time series and technical analysis
- (2016) Furong Ye et al. INFORMATION SCIENCES
- Hybrid nonlinear adaptive scheme for stock market prediction using feedback FLANN and factor analysis
- (2016) C.M. Anish et al. Journal of the Korean Statistical Society
- Minimal variability OWA operator combining ANFIS and fuzzy c-means for forecasting BSE index
- (2016) Gurbinder Kaur et al. MATHEMATICS AND COMPUTERS IN SIMULATION
- Stock prediction using deep learning
- (2016) Ritika Singh et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Empirical research in requirements engineering: trends and opportunities
- (2016) Talat Ambreen et al. REQUIREMENTS ENGINEERING
- Enhancement of stock market forecasting using an improved fundamental analysis-based approach
- (2016) Yuh-Jen Chen et al. SOFT COMPUTING
- Predicting the Direction of Stock Market Index Movement Using an Optimized Artificial Neural Network Model
- (2016) Mingyue Qiu et al. PLoS One
- Maximum and minimum stock price forecasting of Brazilian power distribution companies based on artificial neural networks
- (2015) Leonel A. Laboissiere et al. APPLIED SOFT COMPUTING
- A hybrid model for high-frequency stock market forecasting
- (2015) Ricardo de A. Araújo et al. EXPERT SYSTEMS WITH APPLICATIONS
- Developing an approach to evaluate stocks by forecasting effective features with data mining methods
- (2015) Sasan Barak 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
- A hybrid fuzzy time series model based on granular computing for stock price forecasting
- (2015) Mu-Yen Chen et al. INFORMATION SCIENCES
- A Hybrid Least Square Support Vector Machine Model with Parameters Optimization for Stock Forecasting
- (2015) Jian Chai et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Forecasting stock market indexes using principle component analysis and stochastic time effective neural networks
- (2015) Jie Wang et al. NEUROCOMPUTING
- Prediction of stock price movement based on daily high prices
- (2015) Marija Gorenc Novak et al. QUANTITATIVE FINANCE
- Predicting agent-based financial time series model on lattice fractal with random Legendre neural network
- (2015) Anqi Pei et al. SOFT COMPUTING
- A novel hybrid model using teaching–learning-based optimization and a support vector machine for commodity futures index forecasting
- (2015) Shom Prasad Das et al. International Journal of Machine Learning and Cybernetics
- A Hybrid Approach by Integrating Brain Storm Optimization Algorithm with Grey Neural Network for Stock Index Forecasting
- (2014) Yanqiu Sun Abstract and Applied Analysis
- Modeling fitting-function-based fuzzy time series patterns for evolving stock index forecasting
- (2014) You-Shyang Chen et al. APPLIED INTELLIGENCE
- A causal feature selection algorithm for stock prediction modeling
- (2014) Xiangzhou Zhang et al. NEUROCOMPUTING
- A critical feature extraction by kernel PCA in stock trading model
- (2014) Pei-Chann Chang et al. SOFT COMPUTING
- Multilayer Stock Forecasting Model Using Fuzzy Time Series
- (2014) Hossein Javedani Sadaei et al. TheScientificWorldJOURNAL
- A Bayesian regularized artificial neural network for stock market forecasting
- (2013) Jonathan L. Ticknor EXPERT SYSTEMS WITH APPLICATIONS
- A systematic review of systematic review process research in software engineering
- (2013) Barbara Kitchenham et al. INFORMATION AND SOFTWARE TECHNOLOGY
- Multiple-output support vector regression with a firefly algorithm for interval-valued stock price index forecasting
- (2013) Tao Xiong et al. KNOWLEDGE-BASED SYSTEMS
- Support vector regression with chaos-based firefly algorithm for stock market price forecasting
- (2012) Ahmad Kazem et al. APPLIED SOFT COMPUTING
- A hybrid approach by integrating wavelet-based feature extraction with MARS and SVR for stock index forecasting
- (2012) Ling-Jing Kao et al. DECISION SUPPORT SYSTEMS
- Forecasting trends of high-frequency KOSPI200 index data using learning classifiers
- (2012) Youngdoo Son et al. EXPERT SYSTEMS WITH APPLICATIONS
- Stock price forecast using Bayesian network
- (2012) Yi Zuo et al. EXPERT SYSTEMS WITH APPLICATIONS
- Hybridizing nonlinear independent component analysis and support vector regression with particle swarm optimization for stock index forecasting
- (2012) Chi-Jie Lu NEURAL COMPUTING & APPLICATIONS
- Robust extreme learning machine
- (2012) Punyaphol Horata et al. NEUROCOMPUTING
- An efficient CMAC neural network for stock index forecasting
- (2011) Chi-Jie Lu et al. EXPERT SYSTEMS WITH APPLICATIONS
- Forecasting changes in Korea Composite Stock Price Index (KOSPI) using association rules
- (2011) Sung Hoon Na et al. EXPERT SYSTEMS WITH APPLICATIONS
- Fuzzy intertransaction class association rule mining using Genetic Network Programming for stock market prediction
- (2011) Yuchen Yang et al. IEEJ Transactions on Electrical and Electronic Engineering
- Predicting stock returns by classifier ensembles
- (2010) Chih-Fong Tsai et al. APPLIED SOFT COMPUTING
- Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches
- (2010) Chih-Fong Tsai et al. DECISION SUPPORT SYSTEMS
- Forecasting stock exchange movements using neural networks: Empirical evidence from Kuwait
- (2010) Mohamed M. Mostafa EXPERT SYSTEMS WITH APPLICATIONS
- Translation Invariant Morphological Time-lag Added Evolutionary Forecasting method for stock market prediction
- (2010) Ricardo de A. Araújo EXPERT SYSTEMS WITH APPLICATIONS
- Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange
- (2010) Yakup Kara et al. EXPERT SYSTEMS WITH APPLICATIONS
- A multiple-kernel support vector regression approach for stock market price forecasting
- (2010) Chi-Yuan Yeh et al. EXPERT SYSTEMS WITH APPLICATIONS
- Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting
- (2010) Esmaeil Hadavandi et al. KNOWLEDGE-BASED SYSTEMS
- Financial time series forecasting using independent component analysis and support vector regression
- (2009) Chi-Jie Lu et al. DECISION SUPPORT SYSTEMS
- Predicting the Brazilian stock market through neural networks and adaptive exponential smoothing methods
- (2009) E.L. de Faria et al. EXPERT SYSTEMS WITH APPLICATIONS
- Forecasting stock market short-term trends using a neuro-fuzzy based methodology
- (2009) George S. Atsalakis et al. EXPERT SYSTEMS WITH APPLICATIONS
- Forecasting model of global stock index by stochastic time effective neural network
- (2009) Zhe Liao et al. EXPERT SYSTEMS WITH APPLICATIONS
- Evolving and clustering fuzzy decision tree for financial time series data forecasting
- (2008) Robert K. Lai et al. EXPERT SYSTEMS WITH APPLICATIONS
- A hybrid SOFM-SVR with a filter-based feature selection for stock market forecasting
- (2008) Cheng-Lung Huang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Surveying stock market forecasting techniques – Part II: Soft computing methods
- (2008) George S. Atsalakis 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
- Evolving Least Squares Support Vector Machines for Stock Market Trend Mining
- (2008) Lean Yu et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A Hybrid System Integrating a Wavelet and TSK Fuzzy Rules for Stock Price Forecasting
- (2008) Pei-Chann Chang et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE
- Fuzzy dual-factor time-series for stock index forecasting
- (2007) Hsing-Hui Chu et al. EXPERT SYSTEMS WITH APPLICATIONS
- A TSK type fuzzy rule based system for stock price prediction
- (2006) Pei-Chann Chang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Intelligent technical analysis based equivolume charting for stock trading using neural networks
- (2006) T CHAVARNAKUL et al. EXPERT SYSTEMS WITH APPLICATIONS
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