Microservice-based framework for automated testing of FIX protocol

With the evolution of electronic markets, the Financial Information Exchange (FIX) protocol has become the standard for institutional trade communication. However, prevalent manual testing and post-trade analytics pose challenges in scalability and real-time responsiveness. This project introduces a scalable microservice architecture to automate the end-to-end testing and validation of FIX messages. The framework tackles challenges of processing unstructured FIX data, ensuring test coverage, and detecting real-time irregularities through customized pre-processing, chronological sequencing, and advanced analytics. The platform empowers traders with instant feedback, eliminates manual effort, and enhances system reliability, facilitating faster deployments and improved operational control.

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Publication Details

Journal
IET conference proceedings.
Published
2026-02-01
DOI
https://doi.org/10.1049/icp.2025.4691
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
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article

Microservice-based framework for automated testing of FIX protocol

Pradnya Joshi, Ami Bharat Desai, Aryan Ashish Nayak, Aman Mehra
IET conference proceedings.
Software System Performance and Reliability
article

Microservice-based framework for automated testing of FIX protocol

Pradnya Joshi, Ami Bharat Desai, Aryan Ashish Nayak, Aman Mehra
article en

Abstract

With the evolution of electronic markets, the Financial Information Exchange (FIX) protocol has become the standard for institutional trade communication. However, prevalent manual testing and post-trade analytics pose challenges in scalability and real-time responsiveness. This project introduces a scalable microservice architecture to automate the end-to-end testing and validation of FIX messages. The framework tackles challenges of processing unstructured FIX data, ensuring test coverage, and detecting real-time irregularities through customized pre-processing, chronological sequencing, and advanced analytics. The platform empowers traders with instant feedback, eliminates manual effort, and enhances system reliability, facilitating faster deployments and improved operational control.

IET conference proceedings.Vol. 2025(43)
Dwarkadas J. Sanghvi College of Engineering (IN)
Partnerships for the goals
Openalex Percentile: Top 72%
Software System Performance and Reliability
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