Copertina

MIGA: Mixture-of-Experts with Group Aggregation for Stock Market Prediction

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yu, Zhaojian, Wu, Yinghao, Wang, Genesis, Weng, Heming
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computational Engineering, Finance, and Science
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Learning Explainable Stock Predictions with Tweets Using Mixture of Experts
di: Xu, Wenyan, et al.
Pubblicazione: (2025)

Unleashing Expert Opinion from Social Media for Stock Prediction
di: Zhou, Wanyun, et al.
Pubblicazione: (2025)

Application of an ANN and LSTM-based Ensemble Model for Stock Market Prediction
di: Liu, Fang, et al.
Pubblicazione: (2024)

BERTopic-Driven Stock Market Predictions: Unraveling Sentiment Insights
di: Zhu, Enmin, et al.
Pubblicazione: (2024)

FinMamba: Market-Aware Graph Enhanced Multi-Level Mamba for Stock Movement Prediction
di: Hu, Yifan, et al.
Pubblicazione: (2025)

Stock Market Dynamics Through Deep Learning Context
di: Aminimehr, Amirhossein, et al.
Pubblicazione: (2024)

Tokenizing Stock Prices for Enhanced Multi-Step Forecast and Prediction
di: Zhu, Zhuohang, et al.
Pubblicazione: (2025)

MSMF: Multi-Scale Multi-Modal Fusion for Enhanced Stock Market Prediction
di: Qin, Jiahao
Pubblicazione: (2024)

Stock Price Prediction Using Triple Barrier Labeling and Raw OHLCV Data: Evidence from Korean Markets
di: Kang, Sungwoo
Pubblicazione: (2025)

InvariantStock: Learning Invariant Features for Mastering the Shifting Market
di: Cao, Haiyao, et al.
Pubblicazione: (2024)

DiffSTOCK: Probabilistic relational Stock Market Predictions using Diffusion Models
di: Daiya, Divyanshu, et al.
Pubblicazione: (2024)

S$^{3}$G: Stock State Space Graph for Enhanced Stock Trend Prediction
di: Lu, Yao, et al.
Pubblicazione: (2026)

Bi-Level Chaotic Fusion Based Graph Convolutional Network for Stock Market Prediction Interval
di: Kandimalla, Eshwar Sai, et al.
Pubblicazione: (2026)

MANA-Net: Mitigating Aggregated Sentiment Homogenization with News Weighting for Enhanced Market Prediction
di: Wang, Mengyu, et al.
Pubblicazione: (2024)

MoMoE: A Mixture of Expert Agent Model for Financial Sentiment Analysis
di: Shu, Peng, et al.
Pubblicazione: (2025)

Aligning LLMs with Human Instructions and Stock Market Feedback in Financial Sentiment Analysis
di: Zhao, Zijie, et al.
Pubblicazione: (2024)

Toward Black Scholes for Prediction Markets: A Unified Kernel and Market Maker's Handbook
di: Dalen, Shaw
Pubblicazione: (2025)

Comparing Different Transformer Model Structures for Stock Prediction
di: Chen, Qizhao
Pubblicazione: (2025)

SPH-Net: A Co-Attention Hybrid Model for Accurate Stock Price Prediction
di: Wu, Yiyang, et al.
Pubblicazione: (2025)

Impact of Major Health Events on Pharmaceutical Stocks: A Comprehensive Analysis Using Macroeconomic and Market Indicators
di: Maleki, Morteza, et al.
Pubblicazione: (2024)

GroupSHAP-Guided Integration of Financial News Keywords and Technical Indicators for Stock Price Prediction
di: Kim, Minjoo, et al.
Pubblicazione: (2025)

DFT: A Dual-branch Framework of Fluctuation and Trend for Stock Price Prediction
di: Dong, Chengqi, et al.
Pubblicazione: (2024)

Sentiment-Aware Stock Price Prediction with Transformer and LLM-Generated Formulaic Alpha
di: Chen, Qizhao, et al.
Pubblicazione: (2025)

CSMD: Curated Multimodal Dataset for Chinese Stock Analysis
di: Liu, Yu, et al.
Pubblicazione: (2025)

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading
di: Deng, Zheye, et al.
Pubblicazione: (2025)

Measuring Investor Learning in Private Markets: A Sequential LLM-Bayesian Analysis of Expert Network Calls
di: Chai, Yidong, et al.
Pubblicazione: (2025)

CAME-AB: Cross-Modality Attention with Mixture-of-Experts for Antibody Binding Site Prediction
di: Li, Hongzong, et al.
Pubblicazione: (2025)

StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
di: Wang, Shengkun, et al.
Pubblicazione: (2024)

Impact of LLMs news Sentiment Analysis on Stock Price Movement Prediction
di: Siala, Walid, et al.
Pubblicazione: (2026)

Pre-training Time Series Models with Stock Data Customization
di: Wang, Mengyu, et al.
Pubblicazione: (2025)

MambaStock: Selective state space model for stock prediction
di: Shi, Zhuangwei
Pubblicazione: (2024)

StockGenChaR: A Study on the Evaluation of Large Vision-Language Models on Stock Chart Captioning
di: Qiu, Le, et al.
Pubblicazione: (2024)

Modeling News Interactions and Influence for Financial Market Prediction
di: Wang, Mengyu, et al.
Pubblicazione: (2024)

Integrating Generative AI into Financial Market Prediction for Improved Decision Making
di: Che, Chang, et al.
Pubblicazione: (2024)

Semantic Non-Fungibility and Violations of the Law of One Price in Prediction Markets
di: Gebele, Jonas, et al.
Pubblicazione: (2026)

TwinMarket: A Scalable Behavioral and Social Simulation for Financial Markets
di: Yang, Yuzhe, et al.
Pubblicazione: (2025)

Once Burned, Twice Shy? The Effect of Stock Market Bubbles on Traders that Learn by Experience
di: Zhu, Haibei, et al.
Pubblicazione: (2023)

Generalized Orbicular (m,n,o) T-Spherical Fuzzy Sets with Hamacher Aggregation Operators and Application to Multi-Criteria Group Decision Making
di: Akhtar, Yasir, et al.
Pubblicazione: (2024)

LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU
di: Zhu, Peng, et al.
Pubblicazione: (2024)

Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting
di: Thwal, Chu Myaet, et al.
Pubblicazione: (2024)