Real-Time Trader Input Validation Systems Using Low-Latency Java APIs and AWS Kinesis

Accurate and timely validation of trade inputs is critical in high-frequency commodity and financial trading environments. Manual or delayed validation can result in erroneous trades, compliance risks, and operational inefficiencies. This paper presents a real-time input validation system for traders, implemented using low-latency Java APIs and AWS Kinesis. The system ensures that inputs are checked against business rules and market constraints in milliseconds before proceeding to execution workflows. Our architecture leverages AWS Kinesis for high-throughput data streaming, Java-based microservices for synchronous rule enforcement, and DynamoDB for persistent rule management and transaction tracking. The system demonstrates strong scalability, low latency, and adaptability across diverse trading desks.

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Publication Details

Journal
International Journal of Innovative Research in Science Engineering and Technology
Published
2024-09-30
DOI
https://doi.org/10.15680/ijirset.2024.1309127
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
0.00

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article

Real-Time Trader Input Validation Systems Using Low-Latency Java APIs and AWS Kinesis

International Journal of Innovative Research in Science Engineering and Technology
Financial Markets and Investment Strategies
article

Real-Time Trader Input Validation Systems Using Low-Latency Java APIs and AWS Kinesis

article en

Abstract

Accurate and timely validation of trade inputs is critical in high-frequency commodity and financial trading environments. Manual or delayed validation can result in erroneous trades, compliance risks, and operational inefficiencies. This paper presents a real-time input validation system for traders, implemented using low-latency Java APIs and AWS Kinesis. The system ensures that inputs are checked against business rules and market constraints in milliseconds before proceeding to execution workflows. Our architecture leverages AWS Kinesis for high-throughput data streaming, Java-based microservices for synchronous rule enforcement, and DynamoDB for persistent rule management and transaction tracking. The system demonstrates strong scalability, low latency, and adaptability across diverse trading desks.

International Journal of Innovative Research in Science Engineering and TechnologyVol. 13(09)
Macquarie University (AU)
Strong
Openalex Percentile: Top 63%
Financial Markets and Investment Strategies
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