Optimal Execution Using Reinforcement Learning

C Zheng, J He, C Yang - arXiv preprint arXiv:2306.17178, 2023 - arxiv.org
This work is about optimal order execution, where a large order is split into several small
orders to maximize the implementation shortfall. Based on the diversity of cryptocurrency …

Systems Design Concepts Mimicking Bio-inspired Self-assembly

OV Sanjay Sarma, C Ardoin, IM Ibrahim… - … on Research into …, 2023 - Springer
Abstract Design of complex self-assembly systems requires intelligent solutions that can be
manufactured effectively and efficiently. Self-organization is the spontaneous formation of …

The Microstructure of Cointegrated Assets

S Stoikov, P Decrem, Y Hua, A Shen - Available at SSRN 3824298, 2021 - papers.ssrn.com
We define the micro price of multiple cointegrated assets. This yields a notion of fair prices,
as a function of the observable state of multiple order books. We compute the microprices of …

Options Dynamic Hedging and Optimal Order Execution with Reinforcement Learning

C Zheng - 2023 - search.proquest.com
In this thesis, we present two applications of reinforcement learning models in the financial
domain. The first study focuses on the dynamic hedging of financial derivatives, where a …

[PDF][PDF] The automatic cryptocurrency trading system using a scalping strategy

E Beraudo, Y Oliinyk - Information, Computing and Intelligent …, 2024 - itvisnyk.kpi.ua
The study focuses on the development and implementation of an automated system for
scalping strategies in cryptocurrency markets. Scalping, a high-frequency trading strategy …

Message randomization and delay based on order type in an electronic trading system

CA Isaacson, E Crampton - US Patent 12,198,194, 2025 - freepatentsonline.com
A system and method for managing latency of messages in an exchange system to address
technical advantages in certain market participant hardware are disclosed. In one …