A New Hybrid VMD-ICSS-BiGRU Approach for Gold Futures Price Forecasting and Algorithmic Trading

IEEE Transactions on Computational Social Systems ◽

10.1109/tcss.2021.3084847 ◽

2021 ◽

pp. 1-12

Author(s):

Yuze Li ◽

Shouyang Wang ◽

Yunjie Wei ◽

Qing Zhu

Keyword(s):

Algorithmic Trading ◽

Price Forecasting ◽

Futures Price ◽

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Decomposition-selection-ensemble forecasting system for energy futures price forecasting based on multi-objective version of chaos game optimization algorithm

Resources Policy ◽

10.1016/j.resourpol.2021.102234 ◽

2021 ◽

Vol 73 ◽

pp. 102234

Author(s):

Ping Jiang ◽

Zhenkun Liu ◽

Jianzhou Wang ◽

Lifang Zhang

Keyword(s):

Optimization Algorithm ◽

Ensemble Forecasting ◽

Price Forecasting ◽

Energy Futures ◽

Multi Objective ◽

Forecasting System ◽

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A hybrid procedure with feature selection for resolving stock/futures price forecasting problems

Neural Computing and Applications ◽

10.1007/s00521-011-0721-4 ◽

2011 ◽

Vol 22 (3-4) ◽

pp. 651-671 ◽

Author(s):

Chih-Ming Hsu

Keyword(s):

Feature Selection ◽

Hybrid Procedure ◽

Price Forecasting ◽

Futures Price ◽

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Soybean Futures Price Forecasting Using Dynamic Model Averaging: Do the Predictors Change over Time?

Emerging Markets Finance and Trade ◽

10.1080/1540496x.2019.1618265 ◽

2019 ◽

pp. 1-17

Author(s):

Tao Xiong ◽

Zhongyi Hu

Keyword(s):

Dynamic Model ◽

Model Averaging ◽

Price Forecasting ◽

Change Over Time ◽

Futures Price ◽

Dynamic Model Averaging ◽

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Futures Price Forecasting Based on the Feature Fusion LSTM Model Using Long-Term Price Patterns

10.23919/ccc52363.2021.9549943 ◽

2021 ◽

Author(s):

Shifan Song ◽

Xuejun Pan ◽

Mingxiang Guo ◽

Qi Lang ◽

Xiaodong Liu

Keyword(s):

Feature Fusion ◽

Price Forecasting ◽

Futures Price ◽

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An Empirical Study on the United States Gold Futures Price Change Impact on the South Korean

Global Business Administration Review ◽

10.17092/jibr.2014.11.3.85 ◽

2014 ◽

Vol 11 (3) ◽

pp. 85-102

Author(s):

Byung-Jin Yim ◽

허지훈

Keyword(s):

United States ◽

Empirical Study ◽

Price Change ◽

The United States ◽

The South ◽

South Korean ◽

Change Impact ◽

Futures Price ◽

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Carbon futures price forecasting based with ARIMA-CNN-LSTM model

Procedia Computer Science ◽

10.1016/j.procs.2019.11.254 ◽

2019 ◽

Vol 162 ◽

pp. 33-38 ◽

Author(s):

Lei Ji ◽

Yingchao Zou ◽

Kaijian He ◽

Bangzhu Zhu

Keyword(s):

Price Forecasting ◽

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Power futures price forecasting based on improved wavelet neural network

2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies ◽

10.1109/drpt.2008.4523462 ◽

2008 ◽

Author(s):

Jie Yu ◽

Liying Zhou ◽

Anbang Xia

Keyword(s):

Neural Network ◽

Wavelet Neural Network ◽

Price Forecasting ◽

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China gold futures price prediction model-From the perspective of the gray prediction

2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC) ◽

10.1109/aimsec.2011.6009808 ◽

2011 ◽

Author(s):

Guiyang Xu

Keyword(s):

Prediction Model ◽

Price Prediction ◽

Gray Prediction ◽

Futures Price ◽

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Zinc Futures Price Forecasting Model Based on Data Mining Model

Statistics and Applications ◽

10.12677/sa.2016.53027 ◽

2016 ◽

Vol 05 (03) ◽

pp. 276-280

Author(s):

永忠田

Keyword(s):

Data Mining ◽

Forecasting Model ◽

Price Forecasting ◽

Model Based ◽

Futures Price ◽

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A New Model for Oil Futures Price Forecasting Based on Cluster Analysis

2008 4th International Conference on Wireless Communications, Networking and Mobile Computing ◽

10.1109/wicom.2008.2665 ◽

2008 ◽

Author(s):

Jin-Rong Zhu

Keyword(s):

Cluster Analysis ◽

Price Forecasting ◽

Oil Futures ◽

New Model ◽

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