On the public citation graph

A Comprehensive Survey on the Integration of Reinforcement Learning and NLP for Stock Market Trading

0 signed · 92 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/(sici)1099-131x(1998090)17:5/6<441::aid-for707>3.0.co;2-#openalex-snapshot
Performance functions and reinforcement learning for trading systems and portfolios
inferredcites →https://doi.org/10.1002/asmb.501openalex-snapshot
Applications of Hilbert–Huang transform to non‐stationary financial time series analysis
inferredcites →https://doi.org/10.1007/978-1-4842-9606-6_11openalex-snapshot
Advanced Policy Gradient Methods
inferredcites →https://doi.org/10.1007/978-3-031-12423-5_13openalex-snapshot
Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning
inferredcites →https://doi.org/10.1007/978-981-10-8201-6_5openalex-snapshot
Stock Trading Bot Using Deep Reinforcement Learning
inferredcites →https://doi.org/10.1007/bf00992698openalex-snapshot
Q-learning
inferredcites →https://doi.org/10.1007/s10489-024-05463-5openalex-snapshot
Multi-factor stock trading strategy based on DQN with multi-BiGRU and multi-head ProbSparse self-attention
inferredcites →https://doi.org/10.1007/s11704-026-60308-3openalex-snapshot
A Survey of Large Language Models
inferredcites →https://doi.org/10.1007/s13735-024-00334-8openalex-snapshot
Adversarial attacks and defenses for large language models (LLMs): methods, frameworks & challenges
inferredcites →https://doi.org/10.1016/0010-0285(72)90002-3openalex-snapshot
Understanding natural language
inferredcites →https://doi.org/10.1016/j.asoc.2021.107788openalex-snapshot
Sentiment-influenced trading system based on multimodal deep reinforcement learning
inferredcites →https://doi.org/10.1016/j.dss.2016.06.020openalex-snapshot
News-based trading strategies
inferredcites →https://doi.org/10.1016/j.eswa.2021.115537openalex-snapshot
Applications of deep learning in stock market prediction: Recent progress
inferredcites →https://doi.org/10.1016/j.eswa.2023.121849openalex-snapshot
Deep reinforcement learning for financial trading using multi-modal features
inferredcites →https://doi.org/10.1016/j.ijcce.2024.11.004openalex-snapshot
Text clustering with large language model embeddings
inferredcites →https://doi.org/10.1016/j.jjimei.2022.100094openalex-snapshot
How are reinforcement learning and deep learning algorithms used for big data based decision making in financial industries–A review and research agenda
inferredcites →https://doi.org/10.1016/j.neucom.2021.09.072openalex-snapshot
Stock movement prediction via gated recurrent unit network based on reinforcement learning with incorporated attention mechanisms
inferredcites →https://doi.org/10.1038/nature14236openalex-snapshot
Human-level control through deep reinforcement learning
inferredcites →https://doi.org/10.1080/17517575.2018.1493145openalex-snapshot
Automated trading systems statistical and machine learning methods and hardware implementation: a survey
inferredcites →https://doi.org/10.1086/296344openalex-snapshot
Economic Forces and the Stock Market
inferredcites →https://doi.org/10.1109/access.2022.3203697openalex-snapshot
Deep Reinforcement Learning Approach for Trading Automation in the Stock Market
inferredcites →https://doi.org/10.1109/access.2023.3295776openalex-snapshot
Information Retrieval: Recent Advances and Beyond
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/iec47844.2019.8950616openalex-snapshot
An Overview of Bag of Words;Importance, Implementation, Applications, and Challenges
inferredcites →https://doi.org/10.1109/tencon58879.2023.10322511openalex-snapshot
Maximizing Returns with Reinforcement Learning: A Paradigm Shift in Stock Market Portfolio Management
inferredcites →https://doi.org/10.1109/tnn.1998.712192openalex-snapshot
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1109/tpami.2024.3367329openalex-snapshot
A Comprehensive Survey of Continual Learning: Theory, Method and Application
inferredcites →https://doi.org/10.1111/1911-3846.12832openalex-snapshot
FinBERT : A Large Language Model for Extracting Information from Financial Text*
inferredcites →https://doi.org/10.1111/mafi.12382openalex-snapshot
Recent advances in reinforcement learning in finance
inferredcites →https://doi.org/10.1142/s2717554523300013openalex-snapshot
A Review on Sentiment Analysis in Reinforcement Learning Model for Stock Market Analysis
inferredcites →https://doi.org/10.1145/1150402.1150464openalex-snapshot
Model compression
inferredcites →https://doi.org/10.1145/3490354.3494445openalex-snapshot
Intelligent trading systems: a sentiment-aware reinforcement learning approach
inferredcites →https://doi.org/10.1145/3582560openalex-snapshot
Reinforcement Learning for Quantitative Trading
inferredcites →https://doi.org/10.1145/3639372openalex-snapshot
Explainability for Large Language Models: A Survey
inferredcites →https://doi.org/10.1145/3748304openalex-snapshot
Large Language Models for Information Retrieval: A Survey
inferredcites →https://doi.org/10.11591/ijeecs.v25.i3.pp1703-1711openalex-snapshot
Analyzing semantic similarity amongst textual documents to suggest near duplicates
inferredcites →https://doi.org/10.11606/t.3.2021.tde-10082021-160557openalex-snapshot
Automated stock trading system using deep reinforcement learning and price and sentiment prediction modules.
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.1162/tacl_a_00051openalex-snapshot
Enriching Word Vectors with Subword Information
inferredcites →https://doi.org/10.1371/journal.pone.0263689openalex-snapshot
MSPM: A modularized and scalable multi-agent reinforcement learning-based system for financial portfolio management
inferredcites →https://doi.org/10.1609/aaai.v30i1.10295openalex-snapshot
Deep Reinforcement Learning with Double Q-Learning
inferredcites →https://doi.org/10.1609/aaai.v32i1.11694openalex-snapshot
Deep Reinforcement Learning That Matters
inferredcites →https://doi.org/10.1609/aaai.v32i1.11796openalex-snapshot
Rainbow: Combining Improvements in Deep Reinforcement Learning
inferredcites →https://doi.org/10.1609/aaai.v34i01.5462openalex-snapshot
Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States
inferredcites →https://doi.org/10.1609/icwsm.v8i1.14550openalex-snapshot
VADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.195openalex-snapshot
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.487openalex-snapshot
Social Biases in NLP Models as Barriers for Persons with Disabilities
inferredcites →https://doi.org/10.18653/v1/2021.eacl-main.185openalex-snapshot
FAST: Financial News and Tweet Based Time Aware Network for Stock Trading
inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.316openalex-snapshot
Quantitative Day Trading from Natural Language using Reinforcement Learning
inferredcites →https://doi.org/10.18653/v1/2022.acl-long.577openalex-snapshot
Deduplicating Training Data Makes Language Models Better
inferredcites →https://doi.org/10.18653/v1/d15-1166openalex-snapshot
Effective Approaches to Attention-based Neural Machine Translation
inferredcites →https://doi.org/10.18653/v1/d19-1371openalex-snapshot
SciBERT: A Pretrained Language Model for Scientific Text
inferredcites →https://doi.org/10.18653/v1/d19-1410openalex-snapshot
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
inferredcites →https://doi.org/10.21275/sr24314130644openalex-snapshot
Reinforcement Learning for Real - World Applications - A Comprehensive Review
inferredcites →https://doi.org/10.2139/ssrn.3971071openalex-snapshot
Recent Advances in Reinforcement Learning in Finance
inferredcites →https://doi.org/10.24963/ijcai.2023/548openalex-snapshot
Spotlight News Driven Quantitative Trading Based on Trajectory Optimization
inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot
Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.32604/cmc.2022.017069openalex-snapshot
Stock Market Trading Based on Market Sentiments and Reinforcement Learning
inferredcites →https://doi.org/10.3390/app13031956openalex-snapshot
An Overview of Machine Learning, Deep Learning, and Reinforcement Learning-Based Techniques in Quantitative Finance: Recent Progress and Challenges
inferredcites →https://doi.org/10.3390/asi6060106openalex-snapshot
Stock Market Prediction Using Deep Reinforcement Learning
inferredcites →https://doi.org/10.3390/data6110119openalex-snapshot
Deep Reinforcement Learning for Trading—A Critical Survey
inferredcites →https://doi.org/10.4230/lipics.cp.2025.31openalex-snapshot
HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case
inferredcites →https://doi.org/10.4230/lipics.giscience.2023.43openalex-snapshot
Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-snapshot
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.4230/oasics.dx.2024.16openalex-snapshot
Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short Paper)
inferredcites →https://doi.org/10.4230/oasics.slate.2022.3openalex-snapshot
Question Answering For Toxicological Information Extraction
inferredcites →https://doi.org/10.4230/tgdk.3.3.5openalex-snapshot
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
inferredcites →https://doi.org/10.4324/9780203461891_chapter_3openalex-snapshot
Speech and language processing
inferredcites →https://doi.org/10.47992/ijcsbe.2581.6942.0236openalex-snapshot
Factors Influencing Stock Market Participation: A Review
inferredcites →https://doi.org/10.48550/arxiv.1301.3781openalex-snapshot
Efficient Estimation of Word Representations in Vector Space
inferredcites →https://doi.org/10.48550/arxiv.1409.0473openalex-snapshot
Neural Machine Translation by Jointly Learning to Align and Translate
inferredcites →https://doi.org/10.48550/arxiv.1503.02531openalex-snapshot
Distilling the Knowledge in a Neural Network
inferredcites →https://doi.org/10.48550/arxiv.1506.02438openalex-snapshot
High-Dimensional Continuous Control Using Generalized Advantage Estimation
inferredcites →https://doi.org/10.48550/arxiv.1509.02971openalex-snapshot
Continuous control with deep reinforcement learning
inferredcites →https://doi.org/10.48550/arxiv.1511.05952openalex-snapshot
Prioritized Experience Replay
inferredcites →https://doi.org/10.48550/arxiv.1511.06581openalex-snapshot
Dueling Network Architectures for Deep Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.1609.08144openalex-snapshot
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
inferredcites →https://doi.org/10.48550/arxiv.1707.06887openalex-snapshot
A Distributional Perspective on Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.1801.01290openalex-snapshot
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
inferredcites →https://doi.org/10.48550/arxiv.1802.09477openalex-snapshot
Addressing Function Approximation Error in Actor-Critic Methods
inferredcites →https://doi.org/10.48550/arxiv.1812.05905openalex-snapshot
Soft Actor-Critic Algorithms and Applications
inferredcites →https://doi.org/10.48550/arxiv.2107.03374openalex-snapshot
A Direction-Aware Study of LLM-Based Code Translation Across Eight Programming Languages
inferredcites →https://doi.org/10.48550/arxiv.2107.14171openalex-snapshot
Tianshou: a Highly Modularized Deep Reinforcement Learning Library
inferredcites →https://doi.org/10.48550/arxiv.2203.02155openalex-snapshot
Discernment and Social Learning as a Companion Training Layer
inferredcites →https://doi.org/10.48550/arxiv.2203.05794openalex-snapshot
BERTopic: Neural topic modeling with a class-based TF-IDF procedure
inferredcites →https://doi.org/10.48550/arxiv.2204.02311openalex-snapshot
PaLM: Scaling Language Modeling with Pathways
inferredcites →https://doi.org/10.48550/arxiv.2302.13971openalex-snapshot
LLaMA: Open and Efficient Foundation Language Models
inferredcites →https://doi.org/10.48550/arxiv.2312.10997openalex-snapshot
Retrieval-Augmented Generation for Large Language Models: A Survey
inferredcites →https://doi.org/10.5121/ijci.2023.120101openalex-snapshot
Stock Market Prediction using Reinforcement Learning with Sentiment Analysis
inferredcites →https://doi.org/10.5281/zenodo.7499642openalex-snapshot
Factors Influencing Stock Market Participation: A Review
inferredcites →https://doi.org/10.55730/1300-0632.3862openalex-snapshot
A novel deep reinforcement learning based stock price prediction using knowledge graph and community aware sentiments

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.4018/ijec.422702openalex-snapshot
Reinforcement Learning-Driven Dynamic Trading Strategies for Financial Markets
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.