AI-Powered Mutual Fund Intelligence

Understand Mutual Funds.
Clearly.

Search, compare, and analyze 1,000+ mutual funds with AI-powered insights.

SEBI Registered DataNo Investment AdviceEducational Purpose Only

ClearMF helps you understand mutual funds using historical data and AI analysis. We don't sell, recommend, or advise investments.

What You Can Do

Three powerful ways to understand mutual funds better

Compare Funds
See real differences, not marketing claims
  • Side-by-side performance comparison
  • Risk analysis and drawdown patterns
  • Portfolio overlap detection
  • Visual charts, not boring tables
Compare Funds
Understand Risk
Know what can go wrong before it does
  • Volatility and drawdown analysis
  • Worst-case historical scenarios
  • Recovery time after market falls
  • Risk-adjusted return metrics
Analyze Risk
SIP Intelligence
Understand SIP reality, not just CAGR
  • SIP growth behavior over time
  • Rolling returns consistency check
  • Impact of market timing on returns
  • Rupee cost averaging analysis
Explore SIP Analysis

Explore Mutual Funds

Parag Parikh Flexi Cap Fund

Flexi CapModerate Risk
3Y CAGR
18.2%
(historical)
Expense Ratio
0.62%
Compare

Quant Flexi Cap Fund

Flexi CapHigh Risk
3Y CAGR
22.4%
(historical)
Expense Ratio
0.68%
Compare

Axis Bluechip Fund

Large CapModerate Risk
3Y CAGR
15.8%
(historical)
Expense Ratio
0.45%
Compare

Returns shown are historical and may vary over time.

AI-Powered Intelligence

Mutual Fund Intelligence, Explained Simply

Our AI analyzes historical data, risk metrics, and performance patterns to explain complex mutual fund information in plain language.

Ask Anything

"How has this fund performed during market crashes?" Get answers backed by historical data.

Historical Context

Understand fund behavior across different market cycles with AI-explained patterns.

SEBI-Safe Responses

All AI responses are filtered for compliance. We explain historical data, never advise.

You ask:

"How volatile is this fund compared to its category?"

AI explains:

"Historically, this fund has shown 12.4% volatility (standard deviation) over the past 5 years, which is lower than the category average of 14.8%. During the 2020 market correction, it experienced a maximum drawdown of -18.3%, recovering within 6 months. This suggests relatively moderate risk behavior within its category."

Past performance does not guarantee future results. This is educational information only.

Built for Trust, Not Selling

No hidden agendas. No biased recommendations. Just clear, data-driven intelligence.

SEBI Compliant

No investment advice, recommendations, or predictions. Only historical data and educational content.

Official Data Sources

All fund data sourced directly from AMFI and MFAPI. Updated daily for accuracy.

Historical Focus

We analyze past performance and risk metrics. We never predict future returns.

Zero Conflicts

No commissions, no referrals, no hidden incentives. Pure intelligence, zero bias.

Data Sources & Transparency

Scheme Information
AMFI
Official scheme data
NAV & Performance
MFAPI
Daily NAV updates
Benchmarks
NSE / BSE
Index data

Data Freshness: NAVs and performance data updated daily. Historical calculations use industry-standard methodologies.

Neutral Positioning: ClearMF does not distribute mutual funds and does not provide investment advice. We help users understand data, risk, and behaviour using AI.

Compliance Disclaimer: ClearMF is an AI-powered financial information platform and is not a SEBI-registered investment advisor or mutual fund distributor. Information is for educational purposes only.

Learn the Basics (Without Jargon)

Educational content to help you understand mutual funds, risk, and performance analysis

How to compare mutual funds properly

Beyond returns: Understanding risk, volatility, and drawdowns in fund comparison

Read Article

Why rolling returns matter more than CAGR

Learn why consistency matters and how to evaluate fund performance across market cycles

Read Article

Understanding risk vs returns

Decode volatility, drawdowns, and risk-adjusted returns without the jargon

Read Article