Strategy & Portfolio Lab
Move beyond single-number calculators: diagnose a portfolio, model goals, stress-test retirement, compare portfolio frameworks and analyse fund data without hiding assumptions or producing buy/sell calls.
Choose the tool by decision, not by calculator name
The Strategy & Portfolio Lab sits above Finin2min's basic investment calculators. A SIP calculator answers what a contribution may grow to; this Lab answers broader questions such as whether several funds overlap, whether an asset allocation has drifted, how a retirement plan reacts to an early market shock, or how sensitive a goal is to return assumptions.
Data and model integrity
Data-heavy mutual-fund tools are designed around official SEBI/AMFI source trails. A page should not call a fund dataset current unless its source authority, effective date, retrieval date, parser version and hash are recorded. Simulation tools use user-visible assumptions and are explicitly model outputs rather than forecasts.
How the tools work together
A practical workflow is: diagnose current holdings → measure overlap and concentration → define a target allocation → test the target under stress → choose a contribution or rebalancing path → re-run after material portfolio or goal changes. Cross-listing a tool in more than one navigation group should still point to one canonical URL, avoiding duplicate pages and SEO cannibalisation.
Financial-information boundary
The Lab does not provide personalised investment advice, a fund recommendation or a trade signal. It is intended to make assumptions, formulas, data freshness and downside scenarios easier to inspect. Users should independently verify current official documents and consider professional advice where appropriate.
Choose by task
All Strategy & Portfolio Lab tools
Compare immediate, new-money-only and phased rebalancing while keeping tax and transaction assumptions explicit.
Core & Satellite Strategy BuilderStrategiesBuild a 100%-reconciling core/satellite allocation and stress-test concentration and drawdown assumptions.
Retirement Bucket StrategyStrategiesModel 3-bucket or 5-bucket retirement cash flows and stress scenarios without a simplistic safe/not-safe label.
Portfolio X-RayAdvanced AnalyticsDiagnose allocation, concentration, cost and direct/regular mix from local manual or CSV holdings data.
Portfolio Overlap AnalyzerAdvanced AnalyticsMeasure weighted overlap, Jaccard similarity, concentration and look-through duplication across up to five portfolios.
SIP Portfolio DoctorAdvanced AnalyticsAnalyse multiple SIPs against a future goal, including inflation, step-up and goal-gap scenarios.
Mutual Fund & ETF AnalyzerAdvanced AnalyticsAnalyse an imported NAV series for CAGR, volatility, drawdown and risk-adjusted return with transparent assumptions.
Goal Glide Path StrategyStrategiesCreate a de-risking path as a goal approaches and stress-test a market shock near the target date.
AMFI Mutual Fund Flow IntelligenceAdvanced AnalyticsAnalyse imported official monthly flow data with 3-month averages, flow momentum and flow-to-AUM diagnostics.
Position Size & Trade RiskTrading & RiskCalculate risk-based position size, capital constraint, R-multiple and expectancy without generating trade calls.
Factor Strategy LabStrategiesConstruct a 100%-reconciling multi-factor allocation and inspect factor concentration rather than relying on a black-box score.
Portfolio Monte Carlo LabAdvanced AnalyticsRun seeded scenario simulations using editable return, volatility, contribution and withdrawal assumptions.
Safe Withdrawal Strategy LabStrategiesCompare fixed real, guardrail and percentage withdrawal approaches using explicit return and inflation assumptions.
Barbell Portfolio Stress TestStrategiesModel a defensive/risky barbell under loss and upside scenarios, including rebalancing effects.
Coffee Can Quality ScreenerStrategiesScreen manually entered companies against configurable quality, growth, leverage and cash-conversion criteria; no buy/sell calls.
Magic Formula Ranking LabStrategiesTransparently rank manually supplied companies by earnings yield and return on capital, with separate component ranks.
Mutual Fund ExplorerAdvanced AnalyticsFilter a governed scheme dataset by category, plan, TER and return fields without presenting a proprietary best-fund score.
Official source backbone
Mutual-fund data and regulation change. Finin2min therefore treats primary sources as the data backbone and keeps market-dependent tools date-stamped.
- SEBI — Mutual Funds Regulations, 2026 (last amended 7 Jul 2026)
- SEBI — Master Circular for Mutual Funds, 20 March 2026
- SEBI — Circulars index for post-Master-Circular currentness
- SEBI — Categorization and Rationalization of Mutual Fund Schemes, 26 February 2026
- AMFI — NAV download
- AMFI — Total Expense Ratio data
- AMFI — Monthly industry data