Abstract
Day trading has been gaining attention from prospective investors over the past decades, even more so in the last decade due to a plethora of factors such as instantaneous availability and accessibility to information such as social media, news, Internet of Things (IoT), availability of market’s sentiment data associated with them, and increased broker discounts. This tutorial aims at providing a framework for intra-day trading that supports scalability, easily maintainable by creating a low coupling, high cohesion, and stateless architecture between client and server, considering the time-sensitive nature of transactions involved. This provides the benefits of additional business value for Software as a Service (SaaS) providers based on high productivity as well as enhanced end-user experience. To achieve these objectives, a combination of cloud-native architectural components, such as microservices and event streaming using Kafka, is used in this tutorial to provide a near real-time experience to end users. Additionally, to ensure security, robust authentication management is used in the proposed solution to control the access of read and write operations on the Firebase cloud database.
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Acknowledgements
This work is partially funded by Chinese Academy of Sciences President’s International Fellowship Initiative (Grant No. 2023VTC0006), National Natural Science Foundation of China (No. 62102408), Shenzhen Science and Technology Program (Grant No. RCBS20210609104609044), and Shenzhen Industrial Application Projects of undertaking the National key R & D Program of China (No. CJGJZD20210408091600002). We also declare that this work has been submitted as an MSc project dissertation in partial fulfilment of the requirements for the award of degree of Master of Science submitted in School of Electronic Engineering and Computer Science of Queen Mary University of London, UK is an authentic record of research work carried out by Mousumi Hota (first author) under the supervision of Sukhpal Singh Gill (last author) and refers other researcher’s work which are duly listed in the reference section. This MSc project dissertation has been checked using Turnitin at Queen Mary University of London, UK and submitted dissertation has been stored in repository for university record.
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Hota, M., Abdelmoniem, A.M., Xu, M., Gill, S.S. (2023). Leveraging Cloud-Native Microservices Architecture for High Performance Real-Time Intra-Day Trading: A Tutorial. In: Kumar, M., Gill, S.S., Samriya, J.K., Uhlig, S. (eds) 6G Enabled Fog Computing in IoT. Springer, Cham. https://doi.org/10.1007/978-3-031-30101-8_5
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