Know your funds, invest smarter.

Every Topsheet tool is designed around a specific question an investor or advisor needs to answer — using real AMFI holdings data, not fund factsheets.

Live

Stress Tester

The Stress Tester answers the question every investor dreads: "What happens to my portfolio in a market crash?"

Instead of using category-level estimates, Topsheet applies historical sector shock percentages to your funds' actual current sector weights. If your fund holds 34% in Financials and 18% in IT, the GFC simulation uses the real drawdowns those sectors experienced in 2008.

4 crisis scenarios: Global Financial Crisis (2008), Covid Crash (2020), Taper Tantrum (2013), Euro Crisis (2011)
Sector-weight based: Uses real AMFI sector breakdown per fund, not fund-category estimates
Portfolio-level rollup: Blends per-fund drawdowns weighted by your allocation to give a single portfolio impact number
Sector impact table: Shows which sectors in your portfolio take the biggest hit in each scenario
Rupee impact: Enter your portfolio value to see estimated loss in ₹ for each scenario
GFC 2008 — estimated drawdown
-42.3%
Portfolio
-38.1%
Large Cap
-51.6%
Small Cap
Sector impact
Financials
-58%
Metals
-68%
Energy
-50%
IT
-42%
Healthcare
-24%
Live

Overlap Detector

The Overlap Detector is the flagship Topsheet tool. It shows you exactly which stocks appear in multiple funds — by actual ISIN, not by fund label.

If you own a Flexicap fund and a Large Cap fund, they might share 14 of the same top-20 stocks. The Overlap Detector finds every such duplicate, ranks them by effective weight in your combined portfolio, and tells you which fund to remove or keep.

ISIN-level detection: Exact matching on ISIN codes — no name-matching fuzzyness
Jaccard heatmap: Pairwise overlap matrix across all selected funds, colour-coded by severity
Effective portfolio: Combined top-20 holdings weighted by your allocation — shows your true concentration
Recommendations: Which fund to consider removing (most redundant) and which adds the most unique exposure
Up to 8 funds: Analyse your entire Kotak portfolio in one run
Pairwise overlap — Jaccard similarity
100%
64%
41%
22%
64%
100%
38%
19%
41%
38%
100%
11%
22%
19%
11%
100%
Top repeated stocks
StockFundsEff. weight
HDFC Bank3 funds4.21%
Infosys3 funds3.84%
Reliance Ind.2 funds2.96%
ICICI Bank2 funds2.61%
Live

Portfolio X-Ray

The Portfolio X-Ray decomposes your entire fund selection — and each individual fund — into their underlying sector exposure, instrument type breakdown, and top equity holdings.

The "combined portfolio" view blends all your funds by their allocation weights, so you can see your true sector concentration. For example: you might discover that your "balanced" portfolio is actually 38% Financials when you account for every fund's position.

Blended sector view: Aggregates sector weights across all funds weighted by your allocation
Instrument type breakdown: See your combined split between Equity, Debt, REITs, InvITs, and other instruments
Per-fund deep-dive: Top 15 equity holdings, sector bars, and concentration metrics for each individual fund
Auto-generated insights: Equity %, top holding concentration, dominant sector, and diversification assessment
Combined portfolio — sector breakdown
Financials
34.2%
IT
18.1%
Healthcare
12.4%
Energy
9.8%
Industrials
7.6%
Auto
5.9%
Instrument type
88%
Equity
7%
Debt
5%
Other
Coming soon

Monte Carlo Simulator

The Monte Carlo Simulator will answer: "What is the probability my SIP reaches ₹1 crore in 15 years?"

By running 1,000 simulated market paths using your portfolio's historical return and volatility profile, it will show you the distribution of outcomes — the median, the 10th percentile (bad luck scenario), and the 90th percentile (good luck scenario).

1,000 simulated SIP paths using actual portfolio volatility from historical NAV data
Goal probability score: Percentage of simulated paths that reach your target corpus
Percentile fan chart: Visual range of outcomes from worst-case to best-case
Configurable inputs: Monthly SIP amount, time horizon, and goal corpus — all adjustable with live re-simulation
Why is this not live yet? Accurate Monte Carlo simulation requires historical daily NAV data per fund. We are currently building the NAV ingestion pipeline. Once complete, this tool will be the most powerful on the platform.
🔜

Monte Carlo — Coming Soon

Requires historical NAV data pipeline. Currently in development. Expected to launch with daily NAV history for all tracked schemes.

Tool comparison

Tool What it answers Data source Status Funds
Stress Tester How much do I lose in a crisis? AMFI sector weights + historical shocks Live 1–8
Overlap Detector Am I really diversified? AMFI ISIN-level holdings Live 2–8
Portfolio X-Ray What sectors am I actually exposed to? AMFI sector + type breakdown Live 1–8
Monte Carlo Will my SIP reach my goal? Historical NAV data (in development) Coming soon 1–8

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