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MRI India Journals Vol. 13 No. 2S (2026): Special Issue: ICSAIEM

Intelligent Investment Analysis and Asset Allocation System

Authors

  • Nilima Ramteke Department of Computer Science and Engineering, MIT School of Computing, MIT ADT University, Pune, India
  • Jayashree Prasad Artificial Intelligence and Analytics; Department of Computer Science and Engineering, MIT School of Computing, MIT ADT University, Pune, India
  • Sneha Gupta Department of Computer Science and Engineering, MIT School of Computing, MIT ADT University, Pune, India
  • Deepak Yadav Department of Computer Science and Engineering, MIT School of Computing, MIT ADT University, Pune, India
  • Chetanya Rander Department of Computer Science and Engineering, MIT School of Computing, MIT ADT University, Pune, India
  • Aryan Jitender Bhardwaj Department of Computer Science and Engineering, MIT School of Computing, MIT ADT University, Pune, India

Keywords:

Asset Allocation Investment Analysis Portfolio Management Financial Technology Intelligent Systems Robo-Advisory Monte Carlo Simulation

Abstract

The fast development of financial tech- nology platforms. has added to financial markets involvement, particularly among. first-time and young investors. Nonetheless, there are numerous people who are lacking. financial literacy to do informed investment. decisions. Through this, investors tend to turn to informal sources. as peer advice like social media or peer advice in investment selection. strategies. In this paper, an Intelligent Investment Analysis is proposed. Portfolio Sys- tem which offers individualized portfolio. user financial profile- based recommendations. The system evaluates the factors like income, age, amount invested, determinable risk tolerance and investment horizon to establish appropriate asset. divestment between such financial instruments as stocks, mutual. debt instruments, funds and exchange traded funds. The suggested system implements diversification principles inferred. as given in the Modern Portfolio Theory [8] to minimize investment risk and enhance sustainability of finances. The system is evaluated through the various investor profiles in terms of safeness, mod- erate, and risky violent types. Results demonstrate consistent, explicable portfolio allocations whose goals are feasible casually. test using Monte Carlo simulation, validation of the system. transparency of recommendation and functional correctness. The system will enhance the financial literacy hence increase data- driven investment decision making by the retail investors within the system. Indian market.

 

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Published

2026-06-16

How to Cite

Ramteke, N., Prasad, J., Gupta, S., Yadav, D., Rander, C., & Bhardwaj, A. J. (2026). Intelligent Investment Analysis and Asset Allocation System. Multidisciplinary Journal of Research in Engineering and Technology, 13(2S), 191–204. Retrieved from https://journals.mriindia.com/index.php/mjret/article/view/3572

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