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Calculators / Strategy & Portfolio Lab / Mutual Fund Explorer
Advanced Analytics

Mutual Fund Explorer

Filter a governed scheme dataset by category, plan, TER and return fields without presenting a proprietary best-fund score.

Methodology visibleStress-tested inputsNo buy/sell recommendation

Governed scheme-data explorer

Paste a governed dataset as Scheme,Category,Plan,NAV,TER%,Return1Y%,Return3Y%,Return5Y%. Do not publish the illustrative sample as current scheme data.

How to use this Mutual Fund Explorer

Fund Explorer is a transparent filter, not a ranking engine. It is designed to work with a governed scheme dataset containing category, plan, NAV, TER and selected return fields. Users choose the conditions and the page returns matching rows; Finin2min does not convert those filters into an opaque 'best' score.

1. Enter factsReplace sample values with your portfolio, goal or market data.
2. Check assumptionsReturn, inflation, tax, cost and stress inputs remain visible.
3. Read the stress caseDo not rely on the base result alone when downside scenarios are available.

Calculation logic

The tool validates every imported numeric field before filtering. Category matching is case-insensitive text matching, plan matching is normalized for case, TER must be at or below the chosen ceiling, and the selected return field must meet the chosen floor. Because the filters are mechanical, every result can be reproduced from the same input dataset.

Worked interpretation

Filtering for a category, Direct plan and a TER ceiling can narrow a dataset, but it does not tell the user whether any remaining scheme is suitable. The next analytical steps are risk-return history, portfolio overlap, benchmark context and goal alignment.

What this result does not prove

NAV, TER, categories and performance change over time. A production dataset should record source authority, effective date, retrieval time, parser version and hash. Return thresholds can also induce performance-chasing and should never be presented as a recommendation. Current SEBI scheme categorisation and AMFI data sources should govern category and scheme metadata.

Integrity rule: a calculation can be mathematically correct and still be decision-inappropriate if the inputs, source date or model assumptions are wrong. Finin2min therefore keeps model assumptions visible and avoids converting the result into a security recommendation.

Methodology, data and limitations

This Finin2min tool separates calculation from recommendation. Inputs, return assumptions and stress parameters remain visible and editable. Results are educational scenarios, not forecasts or suitability advice.

Data integrity: do not silently ship stale market/fund data. When the page uses imported official data, retain source authority, effective date, retrieval timestamp, parser version and SHA-256 in the investment data manifest.
Regulatory currentness: the 20 March 2026 SEBI Master Circular states that it consolidates relevant mutual-fund circulars only through 20 March 2026. The source panel therefore also links the Mutual Funds Regulations, 2026 as last amended on 7 July 2026 and the SEBI circulars index for post-Master-Circular developments.

Primary / official references

Questions & answers

What does the Mutual Fund Explorer calculate?

Fund Explorer is a transparent filter, not a ranking engine. It is designed to work with a governed scheme dataset containing category, plan, NAV, TER and selected return fields. Users choose the conditions and the page returns matching rows; Finin2min does not convert those filters into an opaque 'best' score.

What assumptions drive the result?

The tool validates every imported numeric field before filtering. Category matching is case-insensitive text matching, plan matching is normalized for case, TER must be at or below the chosen ceiling, and the selected return field must meet the chosen floor. Because the filters are mechanical, every result can be reproduced from the same input dataset.

Can I treat the result as a forecast or recommendation?

No. The output is an educational scenario generated from the values entered. It does not predict market returns, recommend a security or establish suitability for an individual investor.

How should I handle market or mutual-fund data?

Use a current, complete dataset with a recorded effective date. Where the page requires imported scheme, NAV, TER, portfolio or industry data, Finin2min should publish or retain the source authority, retrieval date, parser version and file hash.

What are the main limitations?

NAV, TER, categories and performance change over time. A production dataset should record source authority, effective date, retrieval time, parser version and hash. Return thresholds can also induce performance-chasing and should never be presented as a recommendation. Current SEBI scheme categorisation and AMFI data sources should govern category and scheme metadata.

Financial information disclaimer: Investments involve risk. Calculations may omit taxes, costs, liquidity constraints, tracking difference, execution risk or individual circumstances unless explicitly entered. Verify current official documents before acting.

Guides that use this calculator

Background, worked examples and the rules behind these numbers.

Regulatory disclosure — SEBI

Finin2min is not registered with the Securities and Exchange Board of India (SEBI) as an Investment Adviser or as a Research Analyst. This tool performs an arithmetic calculation on the figures you enter and is published for general information and educational purposes only. It is not investment advice, it is not personalised to your financial circumstances, objectives or risk tolerance, and it is not a recommendation to buy, sell or hold any security, scheme or product. Projected values are illustrative and follow directly from the assumptions you supply; actual returns will differ, and past performance does not indicate future results. Consider consulting a SEBI-registered Investment Adviser before acting on any investment decision.