Stock Market Dynamics Through Deep Learning Context
Fuente:
arXiv
Saved in:
| Main Authors: | Aminimehr, Amirhossein, Aminimehr, Amin, Kamali, Hamid Moradi, Eetemadi, Sauleh, Hoseinzade, Saeid |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
InvariantStock: Learning Invariant Features for Mastering the Shifting Market
by: Cao, Haiyao, et al.
Published: (2024)
by: Cao, Haiyao, et al.
Published: (2024)
Market-Derived Financial Sentiment Analysis: Context-Aware Language Models for Crypto Forecasting
by: Moradi-Kamali, Hamid, et al.
Published: (2025)
by: Moradi-Kamali, Hamid, et al.
Published: (2025)
Incremental Learning of Stock Trends via Meta-Learning with Dynamic Adaptation
by: Huang, Shiluo, et al.
Published: (2024)
by: Huang, Shiluo, et al.
Published: (2024)
MIGA: Mixture-of-Experts with Group Aggregation for Stock Market Prediction
by: Yu, Zhaojian, et al.
Published: (2024)
by: Yu, Zhaojian, et al.
Published: (2024)
BERTopic-Driven Stock Market Predictions: Unraveling Sentiment Insights
by: Zhu, Enmin, et al.
Published: (2024)
by: Zhu, Enmin, et al.
Published: (2024)
Application of an ANN and LSTM-based Ensemble Model for Stock Market Prediction
by: Liu, Fang, et al.
Published: (2024)
by: Liu, Fang, et al.
Published: (2024)
Aligning LLMs with Human Instructions and Stock Market Feedback in Financial Sentiment Analysis
by: Zhao, Zijie, et al.
Published: (2024)
by: Zhao, Zijie, et al.
Published: (2024)
Broadband Thermoelectric Energy Harvesting for Wearable Biosensors Using Plasmonic Field-Enhancement and Machine-Learning-Guided Device Optimization
by: Moradi, Hamidreza, et al.
Published: (2025)
by: Moradi, Hamidreza, et al.
Published: (2025)
FinMamba: Market-Aware Graph Enhanced Multi-Level Mamba for Stock Movement Prediction
by: Hu, Yifan, et al.
Published: (2025)
by: Hu, Yifan, et al.
Published: (2025)
Impact of Major Health Events on Pharmaceutical Stocks: A Comprehensive Analysis Using Macroeconomic and Market Indicators
by: Maleki, Morteza, et al.
Published: (2024)
by: Maleki, Morteza, et al.
Published: (2024)
Stock Price Prediction Using Triple Barrier Labeling and Raw OHLCV Data: Evidence from Korean Markets
by: Kang, Sungwoo
Published: (2025)
by: Kang, Sungwoo
Published: (2025)
MSMF: Multi-Scale Multi-Modal Fusion for Enhanced Stock Market Prediction
by: Qin, Jiahao
Published: (2024)
by: Qin, Jiahao
Published: (2024)
Once Burned, Twice Shy? The Effect of Stock Market Bubbles on Traders that Learn by Experience
by: Zhu, Haibei, et al.
Published: (2023)
by: Zhu, Haibei, et al.
Published: (2023)
DeltaLag: Learning Dynamic Lead-Lag Patterns in Financial Markets
by: Zhou, Wanyun, et al.
Published: (2025)
by: Zhou, Wanyun, et al.
Published: (2025)
An Investment Prioritization Model for Wildfire Risk Mitigation Through Power Line Undergrounding
by: Nematshahi, Saeed, et al.
Published: (2025)
by: Nematshahi, Saeed, et al.
Published: (2025)
Tokenizing Stock Prices for Enhanced Multi-Step Forecast and Prediction
by: Zhu, Zhuohang, et al.
Published: (2025)
by: Zhu, Zhuohang, et al.
Published: (2025)
Learning Explainable Stock Predictions with Tweets Using Mixture of Experts
by: Xu, Wenyan, et al.
Published: (2025)
by: Xu, Wenyan, et al.
Published: (2025)
EnTri: Ensemble Learning with Tri-level Representations for Explainable Scene Recognition
by: Aminimehr, Amirhossein, et al.
Published: (2023)
by: Aminimehr, Amirhossein, et al.
Published: (2023)
Q-A3C2: Quantum Reinforcement Learning with Time-Series Dynamic Clustering for Adaptive ETF Stock Selection
by: Liu, Yen-Ku, et al.
Published: (2025)
by: Liu, Yen-Ku, et al.
Published: (2025)
Bi-Level Chaotic Fusion Based Graph Convolutional Network for Stock Market Prediction Interval
by: Kandimalla, Eshwar Sai, et al.
Published: (2026)
by: Kandimalla, Eshwar Sai, et al.
Published: (2026)
DiffSTOCK: Probabilistic relational Stock Market Predictions using Diffusion Models
by: Daiya, Divyanshu, et al.
Published: (2024)
by: Daiya, Divyanshu, et al.
Published: (2024)
S$^{3}$G: Stock State Space Graph for Enhanced Stock Trend Prediction
by: Lu, Yao, et al.
Published: (2026)
by: Lu, Yao, et al.
Published: (2026)
Effect of Leaders Voice on Financial Market: An Empirical Deep Learning Expedition on NASDAQ, NSE, and Beyond
by: Das, Arijit, et al.
Published: (2024)
by: Das, Arijit, et al.
Published: (2024)
Toward Black Scholes for Prediction Markets: A Unified Kernel and Market Maker's Handbook
by: Dalen, Shaw
Published: (2025)
by: Dalen, Shaw
Published: (2025)
MambaStock: Selective state space model for stock prediction
by: Shi, Zhuangwei
Published: (2024)
by: Shi, Zhuangwei
Published: (2024)
Joint Source-Channel Coding for Wireless Image Transmission: A Deep Compressed-Sensing Based Method
by: Jarrahi, Mohammad Amin, et al.
Published: (2024)
by: Jarrahi, Mohammad Amin, et al.
Published: (2024)
StockGenChaR: A Study on the Evaluation of Large Vision-Language Models on Stock Chart Captioning
by: Qiu, Le, et al.
Published: (2024)
by: Qiu, Le, et al.
Published: (2024)
The Random Forest Model for Analyzing and Forecasting the US Stock Market in the Context of Smart Finance
by: Zheng, Jiajian, et al.
Published: (2024)
by: Zheng, Jiajian, et al.
Published: (2024)
AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading
by: Deng, Zheye, et al.
Published: (2025)
by: Deng, Zheye, et al.
Published: (2025)
MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Forecasting
by: Wang, Mingjie, et al.
Published: (2022)
by: Wang, Mingjie, et al.
Published: (2022)
Efficient Market Dynamics: Unraveling Informational Efficiency in UK Horse Racing Betting Markets Through Betfair's Time Series Analysis
by: Tondapu, Narayan
Published: (2024)
by: Tondapu, Narayan
Published: (2024)
I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems
by: Amin, Fouad M., et al.
Published: (2025)
by: Amin, Fouad M., et al.
Published: (2025)
CSMD: Curated Multimodal Dataset for Chinese Stock Analysis
by: Liu, Yu, et al.
Published: (2025)
by: Liu, Yu, et al.
Published: (2025)
Comparing Different Transformer Model Structures for Stock Prediction
by: Chen, Qizhao
Published: (2025)
by: Chen, Qizhao
Published: (2025)
Implementing Zero Trust Architecture to Enhance Security and Resilience in the Pharmaceutical Supply Chain
by: Ghasemshirazi, Saeid, et al.
Published: (2025)
by: Ghasemshirazi, Saeid, et al.
Published: (2025)
Tokenized but Illiquid? Evidence from Real-World Asset Markets
by: Mafrur, Rischan
Published: (2026)
by: Mafrur, Rischan
Published: (2026)
Intelligent Optimization of Mine Environmental Damage Assessment and Repair Strategies Based on Deep Learning
by: Cheng, Qishuo
Published: (2024)
by: Cheng, Qishuo
Published: (2024)
Pre-training Time Series Models with Stock Data Customization
by: Wang, Mengyu, et al.
Published: (2025)
by: Wang, Mengyu, et al.
Published: (2025)
Unleashing Expert Opinion from Social Media for Stock Prediction
by: Zhou, Wanyun, et al.
Published: (2025)
by: Zhou, Wanyun, et al.
Published: (2025)
Surrogate Structure-Specific Probabilistic Dynamic Responses of Bridge Portfolios using Deep Learning with Partial Information
by: Ning, Chunxiao, et al.
Published: (2025)
by: Ning, Chunxiao, et al.
Published: (2025)
Similar Items
-
InvariantStock: Learning Invariant Features for Mastering the Shifting Market
by: Cao, Haiyao, et al.
Published: (2024) -
Market-Derived Financial Sentiment Analysis: Context-Aware Language Models for Crypto Forecasting
by: Moradi-Kamali, Hamid, et al.
Published: (2025) -
Incremental Learning of Stock Trends via Meta-Learning with Dynamic Adaptation
by: Huang, Shiluo, et al.
Published: (2024) -
MIGA: Mixture-of-Experts with Group Aggregation for Stock Market Prediction
by: Yu, Zhaojian, et al.
Published: (2024) -
BERTopic-Driven Stock Market Predictions: Unraveling Sentiment Insights
by: Zhu, Enmin, et al.
Published: (2024)