A hybrid two-stage financial stock forecasting algorithm based on clustering and ensemble learning

Is Deep Learning for Image Recognition Applicable to Stock Market Prediction?

(2019) Hyun Sik Sim et al.   COMPLEXITY

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

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

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

Pattern graph tracking-based stock price prediction using big data

(2018) Seungwoo Jeon et al.   Future Generation Computer Systems-The International Journal of eScience

A Bimodel Algorithm with Data-Divider to Predict Stock Index

(2018) Zhaoyue Wang et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Leveraging social media news to predict stock index movement using RNN-boost

(2018) Weiling Chen et al.   DATA & KNOWLEDGE ENGINEERING

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

Aggregating multiple types of complex data in stock market prediction: A model-independent framework

(2018) Huiwen Wang et al.   KNOWLEDGE-BASED SYSTEMS

A new graphic kernel method of stock price trend prediction based on financial news semantic and structural similarity

(2018) Wen Long 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 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