Building Resilient Brokerage Systems : A Comprehensive Technical Guide

This comprehensive technical article examines the critical aspects of building and maintaining resilient brokerage systems in today's dynamic financial markets. The article explores the multifaceted challenges faced by modern trading platforms, from high-frequency trading demands to regulatory compliance requirements and market volatility management. It provides detailed insights into operational continuity strategies, including infrastructure redundancy and data management approaches, while addressing crucial cybersecurity frameworks and coding standards. The article demonstrates how advanced technologies, including artificial intelligence and machine learning, are revolutionizing trading system architectures and risk management capabilities. Through analysis of real-world implementations and industry best practices, this guide offers a holistic framework for establishing robust, secure, and highly available trading platforms that can withstand the demands of contemporary financial markets.

Authors

Publication Details

Journal
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Published
2025-03-05
DOI
https://doi.org/10.32628/cseit25112367
Primary Topic
Insurance and Financial Risk Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Building Resilient Brokerage Systems : A Comprehensive Technical Guide

Raghu Danda
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Insurance and Financial Risk Management
article

Building Resilient Brokerage Systems : A Comprehensive Technical Guide

Raghu Danda
article en

Abstract

This comprehensive technical article examines the critical aspects of building and maintaining resilient brokerage systems in today's dynamic financial markets. The article explores the multifaceted challenges faced by modern trading platforms, from high-frequency trading demands to regulatory compliance requirements and market volatility management. It provides detailed insights into operational continuity strategies, including infrastructure redundancy and data management approaches, while addressing crucial cybersecurity frameworks and coding standards. The article demonstrates how advanced technologies, including artificial intelligence and machine learning, are revolutionizing trading system architectures and risk management capabilities. Through analysis of real-world implementations and industry best practices, this guide offers a holistic framework for establishing robust, secure, and highly available trading platforms that can withstand the demands of contemporary financial markets.

International Journal of Scientific Research in Computer Science Engineering and Information TechnologyVol. 11(2)
Industry, innovation and infrastructure
Openalex Percentile: Top 94%
Insurance and Financial Risk Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Building Resilient Brokerage Systems : A Comprehensive Technical Guide — Raghu Danda · International Journal of Scientific Research in Computer Science Engineering and Information Technology (2025) | TGRS Research Map | TGRS