Saved in:
| Main Authors: | Montazeri, Sina, Jumakhan, Haseebullah, Abrasiabian, Sonia, Mirzaeinia, Amir |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.11859 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CNN-DRL for Scalable Actions in Finance
by: Montazeri, Sina, et al.
Published: (2024)
by: Montazeri, Sina, et al.
Published: (2024)
Finding Optimal Trading History in Reinforcement Learning for Stock Market Trading
by: Montazeri, Sina, et al.
Published: (2025)
by: Montazeri, Sina, et al.
Published: (2025)
CNN-DRL with Shuffled Features in Finance
by: Montazeri, Sina, et al.
Published: (2024)
by: Montazeri, Sina, et al.
Published: (2024)
Deep Reinforcement Learning Strategies in Finance: Insights into Asset Holding, Trading Behavior, and Purchase Diversity
by: Mohammadshafie, Alireza, et al.
Published: (2024)
by: Mohammadshafie, Alireza, et al.
Published: (2024)
Wireguard: An Efficient Solution for Securing IoT Device Connectivity
by: Jumakhan, Haseebullah, et al.
Published: (2024)
by: Jumakhan, Haseebullah, et al.
Published: (2024)
Mamba Outpaces Reformer in Stock Prediction with Sentiments from Top Ten LLMs
by: Kadiyala, Lokesh Antony, et al.
Published: (2025)
by: Kadiyala, Lokesh Antony, et al.
Published: (2025)
Cryptocurrency Portfolio Management with Reinforcement Learning: Soft Actor--Critic and Deep Deterministic Policy Gradient Algorithms
by: Paykan, Kamal
Published: (2025)
by: Paykan, Kamal
Published: (2025)
A Deep Reinforcement Learning Framework For Financial Portfolio Management
by: Li, Jinyang
Published: (2024)
by: Li, Jinyang
Published: (2024)
GARCH-Informed Neural Networks for Volatility Prediction in Financial Markets
by: Xu, Zeda, et al.
Published: (2024)
by: Xu, Zeda, et al.
Published: (2024)
The Enhanced Physics-Informed Kolmogorov-Arnold Networks: Applications of Newton's Laws in Financial Deep Reinforcement Learning (RL) Algorithms
by: Thoi, Trang, et al.
Published: (2026)
by: Thoi, Trang, et al.
Published: (2026)
The Role of Deep Learning in Financial Asset Management: A Systematic Review
by: Reis, Pedro, et al.
Published: (2025)
by: Reis, Pedro, et al.
Published: (2025)
Predicting Price Movements in High-Frequency Financial Data with Spiking Neural Networks
by: Ezinwoke, Brian, et al.
Published: (2025)
by: Ezinwoke, Brian, et al.
Published: (2025)
A Review of Reinforcement Learning in Financial Applications
by: Bai, Yahui, et al.
Published: (2024)
by: Bai, Yahui, et al.
Published: (2024)
Deep Convolutional Neural Networks for Short-Term Multi-Energy Demand Prediction of Integrated Energy Systems
by: Arsene, Corneliu, et al.
Published: (2023)
by: Arsene, Corneliu, et al.
Published: (2023)
Deep Learning Models Meet Financial Data Modalities
by: Khubiev, Kasymkhan, et al.
Published: (2025)
by: Khubiev, Kasymkhan, et al.
Published: (2025)
Collaborative Optimization in Financial Data Mining Through Deep Learning and ResNeXt
by: Feng, Pengbin, et al.
Published: (2024)
by: Feng, Pengbin, et al.
Published: (2024)
Deep Neural Operator Learning for Probabilistic Models
by: Bayraktar, Erhan, et al.
Published: (2025)
by: Bayraktar, Erhan, et al.
Published: (2025)
Malware Classification using Diluted Convolutional Neural Network with Fast Gradient Sign Method
by: Anand, Ashish, et al.
Published: (2026)
by: Anand, Ashish, et al.
Published: (2026)
Detecting and Triaging Spoofing using Temporal Convolutional Networks
by: Kularatnam, Kaushalya, et al.
Published: (2024)
by: Kularatnam, Kaushalya, et al.
Published: (2024)
Deep Reinforcement Learning in Factor Investment
by: Liu, Junlin
Published: (2025)
by: Liu, Junlin
Published: (2025)
SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains
by: Purbey, Jebish, et al.
Published: (2024)
by: Purbey, Jebish, et al.
Published: (2024)
Financial Bond Similarity Search Using Representation Learning
by: Haeri, Amin, et al.
Published: (2026)
by: Haeri, Amin, et al.
Published: (2026)
Improving DeFi Accessibility through Efficient Liquidity Provisioning with Deep Reinforcement Learning
by: Xu, Haonan, et al.
Published: (2025)
by: Xu, Haonan, et al.
Published: (2025)
DeepSVM: Learning Stochastic Volatility Models with Physics-Informed Deep Operator Networks
by: Malandain, Kieran A., et al.
Published: (2025)
by: Malandain, Kieran A., et al.
Published: (2025)
News-Aware Direct Reinforcement Trading for Financial Markets
by: Lan, Qing-Yu, et al.
Published: (2025)
by: Lan, Qing-Yu, et al.
Published: (2025)
Deep Generative Modeling for Financial Time Series with Application in VaR: A Comparative Review
by: Ericson, Lars, et al.
Published: (2024)
by: Ericson, Lars, et al.
Published: (2024)
Deep Reinforcement Learning for Modelling Protein Complexes
by: Gao, Ziqi, et al.
Published: (2024)
by: Gao, Ziqi, et al.
Published: (2024)
Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision
by: Jiang, Mohan, et al.
Published: (2024)
by: Jiang, Mohan, et al.
Published: (2024)
Finance-Informed Neural Network: Learning the Geometry of Option Pricing
by: Aboussalah, Amine M., et al.
Published: (2024)
by: Aboussalah, Amine M., et al.
Published: (2024)
Deep Neural Implicit Representation of Accessibility for Multi-Axis Manufacturing
by: Harabin, George P., et al.
Published: (2024)
by: Harabin, George P., et al.
Published: (2024)
Deep Reinforcement Learning for Long-Short Portfolio Optimization
by: Huang, Gang, et al.
Published: (2020)
by: Huang, Gang, et al.
Published: (2020)
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)
Chaotic Hedging with Iterated Integrals and Neural Networks
by: Neufeld, Ariel, et al.
Published: (2022)
by: Neufeld, Ariel, et al.
Published: (2022)
Optimizing Performance of Feedforward and Convolutional Neural Networks through Dynamic Activation Functions
by: Rane, Chinmay, et al.
Published: (2023)
by: Rane, Chinmay, et al.
Published: (2023)
A Deep Learning Framework Integrating CNN and BiLSTM for Financial Systemic Risk Analysis and Prediction
by: Cheng, Yu, et al.
Published: (2025)
by: Cheng, Yu, et al.
Published: (2025)
Financial Wind Tunnel: A Retrieval-Augmented Market Simulator
by: Cao, Bokai, et al.
Published: (2025)
by: Cao, Bokai, et al.
Published: (2025)
Enhancing Black-Scholes Delta Hedging via Deep Learning
by: Qiao, Chunhui, et al.
Published: (2024)
by: Qiao, Chunhui, et al.
Published: (2024)
EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements
by: Sugiura, Issa, et al.
Published: (2025)
by: Sugiura, Issa, et al.
Published: (2025)
An Advanced Convolutional Neural Network for Bearing Fault Diagnosis under Limited Data
by: Sun, Shengke, et al.
Published: (2025)
by: Sun, Shengke, et al.
Published: (2025)
Application of Deep Reinforcement Learning to At-the-Money S&P 500 Options Hedging
by: Bracha, Zofia, et al.
Published: (2025)
by: Bracha, Zofia, et al.
Published: (2025)
Similar Items
-
CNN-DRL for Scalable Actions in Finance
by: Montazeri, Sina, et al.
Published: (2024) -
Finding Optimal Trading History in Reinforcement Learning for Stock Market Trading
by: Montazeri, Sina, et al.
Published: (2025) -
CNN-DRL with Shuffled Features in Finance
by: Montazeri, Sina, et al.
Published: (2024) -
Deep Reinforcement Learning Strategies in Finance: Insights into Asset Holding, Trading Behavior, and Purchase Diversity
by: Mohammadshafie, Alireza, et al.
Published: (2024) -
Wireguard: An Efficient Solution for Securing IoT Device Connectivity
by: Jumakhan, Haseebullah, et al.
Published: (2024)