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 10,000+ 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 22 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.

AI Portfolio Expert — ML-Powered Fund Suggestions

Get personalized mutual fund recommendations powered by machine learning. Includes optimal SIP allocation, rebalancing suggestions, behavioral bias detection, tax optimization insights, redundancy detection, gap analysis, and top fund picks across 22 categories.

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