A Review of Agentic Technical and Fundamental Analysis Frameworks for Indian Mutual Funds

Varun Madhwani; Kabir Kohli; Ritu Sindhu

doi:10.55524/ijirem.2025.12.6.2

Abstract

In today's complex investment landscape, retail investors continue to struggle in order to build robust portfolios due to a vast array of mutual fund options and opaque performance metrics. This complexity often leads to decision paralysis, as individuals struggle to analyse financial data and select dependable schemes. To address this, the paper introduces an autonomous, agentic technical analysis framework integrated with fundamental analysis, enabling investors to diversify their portfolios and allocate capital strategically based on their financial goals. Leveraging a stochastic NAV generation engine, the system simulates 68,400 realistic daily OHLCV bars across diverse mutual fund schemes over 1-to-10-year horizons, drawing on historical NAV data for accuracy. Whenever the agent detects a price dip by signalling a high-probability accumulation opportunity, which prompts users to deploy any available surplus capital, enhancing average entry costs.

Keywords

Mutual Funds, EMA50-VWAP Convergence, Stochastic NAV Generation, Confidence-Weighted Dip Buying, Indian Direct-Plan Funds.

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Cites this article as

V. Madhwani, K. Kohli, R. Sindhu, "A Review of Agentic Technical and Fundamental Analysis Frameworks for Indian Mutual Funds", International Journal of Innovative Research in Engineering and Management (IJIREM), Vol-12, Issue-6, Page No-7-13, 2025. Available from: https://doi.org/10.55524/ijirem.2025.12.6.2