DeepSeekMath Meets Order Book: Group-Aware Policy Optimization for High-Frequency Directional Trading
Fuente:
arXiv
Guardado en:
| Autores principales: | Charabarty, Sayak, Pal, Souradip |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Hierarchical Fallback Architecture for High Risk Online Machine Learning Inference
por: Polleti, Gustavo, et al.
Publicado: (2025)
por: Polleti, Gustavo, et al.
Publicado: (2025)
Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact Checking and Explanation Generation
por: Rangapur, Aman, et al.
Publicado: (2023)
por: Rangapur, Aman, et al.
Publicado: (2023)
Causal Modelling of Cryptocurrency Price Movements Using Discretisation-Aware Bayesian Networks
por: Amirzadeh, Rasoul, et al.
Publicado: (2023)
por: Amirzadeh, Rasoul, et al.
Publicado: (2023)
The Economic Implications of Large Language Model Selection on Earnings and Return on Investment: A Decision Theoretic Model
por: Xexéo, Geraldo, et al.
Publicado: (2024)
por: Xexéo, Geraldo, et al.
Publicado: (2024)
Deep-MacroFin: Informed Equilibrium Neural Network for Continuous Time Economic Models
por: Wu, Yuntao, et al.
Publicado: (2024)
por: Wu, Yuntao, et al.
Publicado: (2024)
Preference Learning from Physics-Based Feedback: Tuning Language Models to Design BCC/B2 Superalloys
por: Ghosh, Satanu, et al.
Publicado: (2025)
por: Ghosh, Satanu, et al.
Publicado: (2025)
Chasing the Timber Trail: Machine Learning to Reveal Harvest Location Misrepresentation
por: Sarkar, Shailik, et al.
Publicado: (2025)
por: Sarkar, Shailik, et al.
Publicado: (2025)
International Trade Flow Prediction with Bilateral Trade Provisions
por: Pan, Zijie, et al.
Publicado: (2024)
por: Pan, Zijie, et al.
Publicado: (2024)
Deep Learning Models Meet Financial Data Modalities
por: Khubiev, Kasymkhan, et al.
Publicado: (2025)
por: Khubiev, Kasymkhan, et al.
Publicado: (2025)
Between Green Hills and Green Bills: Unveiling the Green Shades of Sustainability and Burden Shifting through Multi-Objective Optimization in Swiss Energy System Planning
por: Schnidrig, Jonas, et al.
Publicado: (2024)
por: Schnidrig, Jonas, et al.
Publicado: (2024)
Robust and Reliable AI for Predictive Quality in Semiconductor Materials Manufacturing with MLOps and Uncertainty Quantification
por: Gao, Min, et al.
Publicado: (2026)
por: Gao, Min, et al.
Publicado: (2026)
INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing Autoregressive Transformers
por: Poddar, Souradip, et al.
Publicado: (2024)
por: Poddar, Souradip, et al.
Publicado: (2024)
QuantAgent: Price-Driven Multi-Agent LLMs for High-Frequency Trading
por: Xiong, Fei, et al.
Publicado: (2025)
por: Xiong, Fei, et al.
Publicado: (2025)
Free and Customizable Code Documentation with LLMs: A Fine-Tuning Approach
por: Chakrabarty, Sayak, et al.
Publicado: (2024)
por: Chakrabarty, Sayak, et al.
Publicado: (2024)
Characterization of Permanent Magnet Synchronous Machines based on semi-analytic model reduction for drive cycle analysis
por: Blumrich, Leon, et al.
Publicado: (2025)
por: Blumrich, Leon, et al.
Publicado: (2025)
Context, Composition, Automation, and Communication -- The C2AC Roadmap for Modeling and Simulation
por: Uhrmacher, Adelinde, et al.
Publicado: (2023)
por: Uhrmacher, Adelinde, et al.
Publicado: (2023)
Solving High Frequency and Multi-Scale PDEs with Gaussian Processes
por: Fang, Shikai, et al.
Publicado: (2023)
por: Fang, Shikai, et al.
Publicado: (2023)
Data-Driven Temperature Modelling of Machine Tools by Neural Networks: A Benchmark
por: Coelho, C., et al.
Publicado: (2025)
por: Coelho, C., et al.
Publicado: (2025)
Optimizing MACD Trading Strategies A Dance of Finance, Wavelets, and Genetics
por: Chen, Wangyu, et al.
Publicado: (2025)
por: Chen, Wangyu, et al.
Publicado: (2025)
Deep Learning Enhanced Multi-Day Turnover Quantitative Trading Algorithm for Chinese A-Share Market
por: Du, Yimin
Publicado: (2025)
por: Du, Yimin
Publicado: (2025)
An Exploratory Study into using Machine-Learning for Fast Step-by-step Emulation of Numerical Mechanical Thrombectomy Simulations for Ischemic Stroke
por: Stessen, Thijs
Publicado: (2026)
por: Stessen, Thijs
Publicado: (2026)
Optimal Intraday Power Trading for Single-Price Balancing Markets: An Adaptive Risk-Averse Strategy using Mixture Models
por: Bruneel, Robin, et al.
Publicado: (2024)
por: Bruneel, Robin, et al.
Publicado: (2024)
Black-Box Optimization with Implicit Constraints for Public Policy
por: Xing, Wenqian, et al.
Publicado: (2023)
por: Xing, Wenqian, et al.
Publicado: (2023)
LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data
por: Nagy, Peer, et al.
Publicado: (2025)
por: Nagy, Peer, et al.
Publicado: (2025)
A Reward-Directed Diffusion Framework for Generative Design Optimization
por: Keramati, Hadi, et al.
Publicado: (2025)
por: Keramati, Hadi, et al.
Publicado: (2025)
Forex Trading Robot Using Fuzzy Logic
por: Shabani, Mustafa, et al.
Publicado: (2025)
por: Shabani, Mustafa, et al.
Publicado: (2025)
Optimizing Portfolio Management and Risk Assessment in Digital Assets Using Deep Learning for Predictive Analysis
por: Cheng, Qishuo, et al.
Publicado: (2024)
por: Cheng, Qishuo, et al.
Publicado: (2024)
Detecting Multilevel Manipulation from Limit Order Book via Cascaded Contrastive Representation Learning
por: Lin, Yushi, et al.
Publicado: (2025)
por: Lin, Yushi, et al.
Publicado: (2025)
Enhancing Multiscale Simulations with Constitutive Relations-Aware Deep Operator Networks
por: Eivazi, Hamidreza, et al.
Publicado: (2024)
por: Eivazi, Hamidreza, et al.
Publicado: (2024)
Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling
por: Zeng, Liang, et al.
Publicado: (2021)
por: Zeng, Liang, et al.
Publicado: (2021)
Benchmarking Machine Learning Uncertainty Quantification Methodologies for Predicting Turbine Gas Temperature Degradation
por: Barry-Straume, Jostein, et al.
Publicado: (2026)
por: Barry-Straume, Jostein, et al.
Publicado: (2026)
Can Causal Discovery Algorithms Help in Generating Legal Arguments?
por: Wasmatkar, Soham, et al.
Publicado: (2026)
por: Wasmatkar, Soham, et al.
Publicado: (2026)
Scientific Machine Learning for Engine Health Management and Remaining Useful Life Prediction
por: Barry-Straume, Jostein, et al.
Publicado: (2026)
por: Barry-Straume, Jostein, et al.
Publicado: (2026)
A Fast and Generalizable Fourier Neural Operator-Based Surrogate for Melt-Pool Prediction in Laser Processing
por: Benoit, Alix, et al.
Publicado: (2026)
por: Benoit, Alix, et al.
Publicado: (2026)
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey
por: Pippas, Nikolaos, et al.
Publicado: (2024)
por: Pippas, Nikolaos, et al.
Publicado: (2024)
Time Machine GPT
por: Drinkall, Felix, et al.
Publicado: (2024)
por: Drinkall, Felix, et al.
Publicado: (2024)
Deep LPPLS: Forecasting of temporal critical points in natural, engineering and financial systems
por: Nielsen, Joshua, et al.
Publicado: (2024)
por: Nielsen, Joshua, et al.
Publicado: (2024)
Large Language Models for Combinatorial Optimization of Design Structure Matrix
por: Jiang, Shuo, et al.
Publicado: (2025)
por: Jiang, Shuo, et al.
Publicado: (2025)
Predicting Extubation Failure in Intensive Care: The Development of a Novel, End-to-End Actionable and Interpretable Prediction System
por: Yoosoofsah, Akram
Publicado: (2024)
por: Yoosoofsah, Akram
Publicado: (2024)
DADO -- Low-Cost Query Strategies for Deep Active Design Optimization
por: Decke, Jens, et al.
Publicado: (2023)
por: Decke, Jens, et al.
Publicado: (2023)
Ejemplares similares
-
Hierarchical Fallback Architecture for High Risk Online Machine Learning Inference
por: Polleti, Gustavo, et al.
Publicado: (2025) -
Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact Checking and Explanation Generation
por: Rangapur, Aman, et al.
Publicado: (2023) -
Causal Modelling of Cryptocurrency Price Movements Using Discretisation-Aware Bayesian Networks
por: Amirzadeh, Rasoul, et al.
Publicado: (2023) -
The Economic Implications of Large Language Model Selection on Earnings and Return on Investment: A Decision Theoretic Model
por: Xexéo, Geraldo, et al.
Publicado: (2024) -
Deep-MacroFin: Informed Equilibrium Neural Network for Continuous Time Economic Models
por: Wu, Yuntao, et al.
Publicado: (2024)