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MedicMatch: Robo Advisor
Subject area: Science,Engineering and Technology · Area of research: AIML
DOI: 10.64388/IREV9I10-1717094
Abstract
A robo advisor is a digital financial service platform that uses algorithms and advanced technologies such as artificial intelligence and data analytics to provide automated investment advice and portfolio management with minimal human intervention. These systems analyze user inputs such as financial goals, risk tolerance, income, and investment horizon to create and manage a diversified portfolio. Robo advisors have gained popularity due to their low cost, accessibility, and ease of use compared to traditional financial advisors. They employ strategies like asset allocation, rebalancing, and tax optimization to maximize returns while minimizing risks. By leveraging technology, robo advisors eliminate emotional biases in decision-making and ensure consistent, data-driven investment strategies. This concept represents a significant transformation in the financial services industry, making wealth management more inclusive and efficient. However, challenges such as limited personalization, lack of human judgment in complex situations, and dependence on algorithms still exist. In conclusion, robo advisors are reshaping the future of investment management by combining financial expertise with technological innovation, offering a scalable and user-friendly solution for modern investors.
References
[1] Burton G. Malkiel A Random Walk Down Wall Street
[2] A Random Walk Down Wall Street, W.W. Norton & Company, 2019.
[3] Harry Markowitz Portfolio Selection Efficient Diversification of Investments
[4] Portfolio Selection: Efficient Diversification of Investments, Yale University Press, 1959.
[5] Securities and Exchange Commission 6. “Investor Bulletin: Robo-Advisers,” Available at:
[6] https://www.sec.gov
[7] Reserve Bank of India
[8] Financial guidelines and digital banking regulations, Available at: https://www.rbi.org.in
[9] Investopedia
[10] “What is a Robo Advisor?” Available at: https://www.investopedia.com
[11] Betterment
[12] Official Website: https://www.betterment.com 13. Wealthfront
[13] Official Website: https://www.wealthfront.com 15. Python
[14] Official Documentation: https://www.python.org
[15] NumPy and Pandas
[16] Libraries used for numerical computation and data analysis.
[17] Research papers on Robo Advisory and Algorithmic Trading from sources like:
[18] IEEE Xplore Digital Library
[19] Google Scholar
How to cite this paper
@article{1717094,
author = {K. Keerthi Sonali, P. Eswar Sathya Kumar, P. Bhuvaneswar Reddy, M. Vinod Reddy, Ranjitha},
title = {MedicMatch: Robo Advisor},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {10},
pages = {4015-4019},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1717094.pdf},
abstract = {A robo advisor is a digital financial service platform that uses algorithms and advanced technologies such as artificial intelligence and data analytics to provide automated investment advice and portfolio management with minimal human intervention. These systems analyze user inputs such as financial goals, risk tolerance, income, and investment horizon to create and manage a diversified portfolio. Robo advisors have gained popularity due to their low cost, accessibility, and ease of use compared to traditional financial advisors. They employ strategies like asset allocation, rebalancing, and tax optimization to maximize returns while minimizing risks. By leveraging technology, robo advisors eliminate emotional biases in decision-making and ensure consistent, data-driven investment strategies. This concept represents a significant transformation in the financial services industry, making wealth management more inclusive and efficient. However, challenges such as limited personalization, lack of human judgment in complex situations, and dependence on algorithms still exist. In conclusion, robo advisors are reshaping the future of investment management by combining financial expertise with technological innovation, offering a scalable and user-friendly solution for modern investors.},
month = {April},
doi = {https://doi.org/10.64388/IREV9I10-1717094}
}