How does the Mutual Fund Assessor analyze my portfolio?

The tool uses machine learning models to score each mutual fund on 10+ criteria including returns consistency, risk-adjusted performance (Sharpe/Sortino ratios), expense ratios, AUM stability, category performance, and market sentiment. Each fund gets a score from 0-100.

Is Mutual Fund Assessor free to use?

Yes, Mutual Fund Assessor is completely free. You can analyze your portfolio, get fund recommendations, track performance with XIRR, and receive AI-powered insights at no cost.

Which mutual funds are covered?

All 3,700+ mutual funds listed on AMFI (Association of Mutual Funds in India) are covered, including equity, debt, hybrid, ELSS, index funds, and sectoral funds from all major AMCs.

How is the ML fund score calculated?

The ML score (0-100) combines multiple factors: historical returns (1Y, 3Y, 5Y), risk metrics (standard deviation, Sharpe ratio, Sortino ratio, max drawdown), expense ratio, AUM trends, category-relative performance, and market news sentiment analysis.

Can I import my portfolio from Groww, Zerodha, or Kuvera?

Yes, you can import your mutual fund portfolio from Groww, Zerodha, Kuvera, and other platforms. We support CAS (Consolidated Account Statement) PDF imports, CSV imports, and even screenshot-based portfolio import using AI-powered OCR.

What is XIRR and why does this tool calculate it?

XIRR (Extended Internal Rate of Return) is the most accurate way to measure your mutual fund portfolio's actual return, accounting for the exact dates and amounts of all your investments and redemptions. Unlike simple returns, XIRR handles SIP investments correctly.

How are the Top Funds selected?

Top Funds are selected using our ML scoring engine that evaluates funds across 33 categories. The scoring considers 10+ criteria including rolling returns consistency, risk-adjusted returns (Sharpe and Sortino ratios), expense ratios, AUM stability, and category-relative performance.

How to analyze mutual funds for free in India?

Use Mutual Fund Assessor — a free AI-powered tool that analyzes 3,700+ Indian mutual funds. It provides ML-based scoring on 10+ criteria including returns, risk, expense ratio, and consistency. Simply search for any fund to see its detailed assessment, or add your holdings to get a full portfolio health check with diversification analysis and SIP recommendations.

Which AI tool is best for mutual fund analysis?

Mutual Fund Assessor uses machine learning to score and rank mutual funds across 33 categories. Unlike basic comparison tools, it provides composite scoring based on returns, risk-adjusted performance (Sharpe ratio), downside protection, cost efficiency, and portfolio concentration — giving you a data-driven view of fund quality.

How to compare mutual funds side by side?

Go to the Compare page on Mutual Fund Assessor and search for 2-5 funds. You'll see a side-by-side comparison of 1Y/3Y/5Y returns, expense ratios, AUM, risk metrics (Sharpe ratio, max drawdown, standard deviation), and our ML-based composite score. This helps you pick the best fund in any category.

What is the best way to track my mutual fund portfolio?

Use a portfolio tracker that calculates XIRR (true annualized returns accounting for SIP timing). Mutual Fund Assessor lets you add your holdings with purchase dates and amounts, tracks daily NAV changes, shows portfolio-level diversification, and provides AI-powered health checks — all for free.

How are mutual funds scored and ranked?

Mutual Fund Assessor's ML scoring engine evaluates funds on returns (1Y, 3Y, 5Y CAGR), risk-adjusted performance (Sharpe ratio), downside protection (max drawdown), cost efficiency (expense ratio), consistency, and AUM stability. Each fund gets a composite score out of 10, and funds are ranked within their specific category (Large Cap, Mid Cap, ELSS, etc.) for fair comparison.

Mutual Fund Tools & Calculators

Free calculators for Indian mutual fund investors. Project SIP returns with compounding, measure how much a direct plan saves you over a regular plan through lower expense ratios, model step-up SIPs, plan for a target corpus, and compare lumpsum against staggered investing.

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