ANALYZING SOCIAL MEDIA SENTIMENT TOWARD SPECIFIC COMMODITIES FOR FORECASTING PRICE MOVEMENTS IN COMMODITY MARKETS by Mariono Mariono, Syaharuddin Syaharuddin, Sameer Ashraf, Sunday Emmanuel Fadugba

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A Hybrid Model Integrating Variational Mode Decomposition and Intelligent Optimization for Vegetable Price Prediction by Gao Wang, Shuang Xu, Zixu Chen, Youzhu Li

Subjects: “…vegetable price forecasting…”
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A Decomposition-Integration Framework of Carbon Price Forecasting Based on Econometrics and Machine Learning Methods by Zhehao Huang, Benhuan Nie, Yuqiao Lan, Changhong Zhang

Subjects: “…carbon price forecasting…”
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Meta-transformer: leveraging metaheuristic algorithms for agricultural commodity price forecasting by G. H. Harish Nayak, Md. Wasi Alam, B. Samuel Naik, B. S. Varshini, G. Avinash, Rajeev Ranjan Kumar, Mrinmoy Ray, K. N. Singh

Subjects: “…Agricultural price forecasting…”
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Ensemble empirical mode decomposition-based preprocessing method with Multi-LSTM for time series forecasting: a case study for hog prices by Lianlian Fu, Xinsheng Ding, Yuehui Ding

Subjects: “…hog price forecasting…”
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Forecasting Crude Oil Prices Using the Binary RSI (bRSI) Indicator by Michał Dominik Stasiak, Żaneta Staszak, Marcin Stawarz

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Carbon emission price forecasting in China using a novel secondary decomposition hybrid model of CEEMD-SE-VMD-LSTM by Li Ni, Venus Khim-Sen Liew

Subjects: “…Carbon price forecasting…”
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Comparative Performance Analysis of Optimization Algorithms in Artificial Neural Networks for Stock Price Prediction by Ekaprana Wijaya, Moch. Arief Soeleman, Pulung Nurtantio Andono

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BOL-LPP: A Bayesian-Optimized LSTM Model for Day-Ahead Load Price Forecasting in the ERCOT Market by Yomna Mohamed, Mostafa M. Fouda, Zubair Md Fadlullah, Rabab Abdelfattah, Mohamed I. Ibrahem

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Application of State Models in a Binary–Temporal Representation for the Prediction and Modelling of Crude Oil Prices by Michał Dominik Stasiak, Żaneta Staszak, Joanna Siwek, Dawid Wojcieszak

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Introducing ProsperNN—a Python package for forecasting with neural networks by Nico Beck, Julia Schemm, Claudia Ehrig, Benedikt Sonnleitner, Ursula Neumann, Hans Georg Zimmermann

Subjects: “…Price forecasting…”
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Forecasting Shallot Prices in Indonesia Using News-Based Sentiment Indicators by Atikah Salsabila, Rani Nooraeni

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A Comprehensive Analysis of Dropout Assisted Regularized Deep Learning Architectures for Dynamic Electricity Price Forecasting by Pooja Joshi, Stale Stordal, Gudbrand Lien, Deepti Mishra, Erik Haugom

Subjects: “…Electricity price forecasting…”
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Enhancing agricultural commodity price forecasting with deep learning by R. L. Manogna, Vijay Dharmaji, S. Sarang

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IntPort: An Intelligent Portfolio Construction Technique Based on Financial Forecasting by Statistical Average Method by Hasan M. Sami, Md Shah Jalal, Md Faisal Kabir, Mohammad Nurul Huda

Subjects: “…Stock price forecasting…”
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An integrated framework for multi-commodity agricultural price forecasting and anomaly detection using attention-boosted models by Eko Sediyono, Kristoko Dwi Hartomo, Christian Arthur, Intiyas Utami, Ronny Prabowo, Raymond Chiong

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A Time Series Decomposition-Based Interpretable Electricity Price Forecasting Method by Yuanke Cu, Kaishu Wang, Lechen Zhang, Zixuan Liu, Yixuan Liu, Li Mo

Subjects: “…electricity price forecasting…”
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Coal Price Forecasting Using CEEMDAN Decomposition and IFOA-Optimized LSTM Model by Zhuang Liu, Xiaotuan Li

Subjects: “…Coking coal price forecasting…”
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Deep learning for algorithmic trading: A systematic review of predictive models and optimization strategies by MD Shahriar Mahmud Bhuiyan, MD AL Rafi, Gourab Nicholas Rodrigues, MD Nazmul Hossain Mir, Adit Ishraq, M.F. Mridha, Jungpil Shin

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MILET: multimodal integration and linear enhanced transformer for electricity price forecasting by Lisen Zhao, Lihua Lu, Xiang Yu

Subjects: “…Electricity price forecasting…”
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