International Journal on Science and Technology

E-ISSN: 2229-7677   •   Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 3 July-September 2025 Submit your research before last 3 days of September to publish your research paper in the issue of July-September.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 16 Issue 3
July-September 2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Proactive Risk Monitoring and Alerting System for Investment Portfolios Using AI Agents in Cloud

Author(s) Sai Nitesh Palamakula
Country United States
Abstract The dynamic complexity and volatility of modern financial markets have rendered traditional, reactive risk modeling insufficient for managing investment portfolio risks in real time. This paper addresses the limitations of conventional approaches by proposing a proactive risk monitoring and alerting system that leverages AI agents in cloud environments to autonomously observe, analyze, and respond to market positions, systemic stress factors, and timely news events. The architecture incorporates real-time data ingestion pipelines, natural language processing for sentiment analysis, and recommendation engines for automated hedging strategies, orchestrated over cloud-native infrastructures to ensure scalability and resilience. The proposed system not only promises to reduce latency and enhance adaptability but also implements multi-agent orchestration patterns that facilitate robust, specialized, and collaborative analytics. Evaluation metrics are designed to measure system accuracy, latency, scalability, and resilience to security threats and model drift.
Keywords investment portfolio, proactive risk monitoring, AI agents, cloud computing, real-time data ingestion, sentiment analysis, hedging strategy, multi-agent system, generative AI, risk architecture, financial technology
Field Engineering
Published In Volume 16, Issue 3, July-September 2025
Published On 2025-08-02
DOI https://doi.org/10.71097/IJSAT.v16.i3.7866
Short DOI https://doi.org/g92ntz
View / Download PDF File

Share this


CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJSAT DOI prefix is
10.71097/IJSAT

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 16 Isu 3Cover Page Vol 16 Isu 2Cover Page Vol 16 Isu 1

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJSAT
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us Message on WhatsApp +91-9687-182-185 editor@ijsat.org