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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM52679

Comparative Analysis of Rule-Based and Data-Driven Investment Strategies using Web-Based Intelligent Systems

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM52679

Volume:

9 |

9 |

Sep 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM52679

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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MGP

Mr. Gaurav Prajapati1

MAM

Mr. Ashish Modi2

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Abstract

Retail investors often face challenges in choosing optimal investment strategies due to market volatility and limited access to financial advisory tools. This study proposes an AI-powered web-based investment simulator that models and compares multiple strategies, including Systematic Investment Plan (SIP), Lumpsum, Value Averaging (VA), and advanced variations such as Constant Share and VA Pro Rata. Rule-based AI techniques simulate adaptive investment decisions, while linear regression is explored for predictive analysis of future stock prices. Results highlight comparative returns, risk efficiency, and strategy suitability under varying market conditions. The system demonstrates how intelligent decision support can empower retail investors through interactive dashboards and Excel-based reporting

KEYWORDS

Investment Strategies Rule-Based AI SIP Value Averaging Lumpsum Financial Decision Support Regression Forecasting Web-Based Simulator Portfolio Analysis Retail Investors

Cite This Article

Mr. Gaurav Prajapati1, Mr. Ashish Modi2, "Comparative Analysis of Rule-Based and Data-Driven Investment Strategies using Web-Based Intelligent Systems," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 9, Sep 2025. https://doi.org/10.55041/IJSREM52679

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Publication Date

9/18/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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