Portfolio Intelligence — Systematized Portfolio Analysis for Every Client

Health, allocation, risk, cost and fund overlap for every client portfolio — always current, no Excel, no per-client effort.

The analytical core of the Client Advisory pillar. Every portfolio belongs to an onboarded client; once set up, holdings become a living, analysable view.

app.dhansaarthi.com/clients/rohan-sharma/portfolio-health
Portfolio Health overview

One systematized view per client.

One always-current health view per client — current value, total invested, XIRR and best-performing scheme up top; returns, composition and risk one scroll away.

An hour in Excel becomes a screen.

Current value
₹91,00,815
+₹18.4L gain
Total invested
₹72,60,000
Portfolio XIRR
16.8%
3-yr annualised
Best scheme
Summit Flexi Cap
+24.1% XIRR

How deep the analysis goes.

Four lenses on one portfolio. Tabs auto-advance while you read; click to steer.

Portfolio analysis · redrawn
Performance summary
₹92,28,976.93
+₹1,64,506.28 · +1.81%gain in 1M
As on 03 Aug 2026
1M3M6M1Y3YMAX
Asset allocation
Total
₹92.29 L
Equity89.1%₹82.19 L
Other5.6%₹5.16 L
Debt5.3%₹4.93 L
Sector exposure8 sectors · % of equity
Financial Services25.4%
Industrials14.9%
Consumer Cyclical11.3%
Basic Materials7.8%
Healthcare6.5%
Technology4.9%
Energy4.5%
Others14.3%
Equity market-cap mix

Look-through of all equity holdings

Large Cap61.9%
Mid Cap21.6%
Small Cap16.5%

Look-through analysis resolves every fund to its underlying holdings, so overlapping large-caps across schemes are counted once — not double-booked.

Portfolio risk, measured.

Portfolio-level volatility, maximum drawdown, Sharpe and beta — the risk actually sitting in the holdings.

This is portfolio risk — distinct from a client’s own tolerance in Risk Profiling. Together they flag portfolios that don’t match capacity.

Portfolio volatility
27.29%
Maximum drawdown
−72.07%
Sharpe ratio
0.14
Portfolio beta
0.91
Cost & Expenses
Weighted expense ratio
1.56%
Est. annual cost
₹1,44,304

Weighted category-average ER 1.63% ≈ ₹1,50,242/yr. You’re paying ₹5,938/yr less than the category average – a lean, cost-efficient book.

View per-scheme expense detail

What the book really costs.

Weighted expense ratio and estimated annual cost across holdings, set against the category average.

It arms the “why not a direct plan” conversation with a number — instead of a shrug.

Catch the overlap you’d miss manually.

Fund correlation and portfolio overlap — average pairwise correlation, most-correlated pairs, shared-holding %, and a “not diversified” flag. Drill to every underlying stock.

Fund correlation

How similarly each pair of funds tends to move · based on holdings overlap & sector mix

Avg pairwise correlation
0.90
Not diversified
0.0 · independent0.51.0 · move together
Most correlated
Meridian ELSS Tax Saver Gr ↔ Meridian ELSS Tax Saver Dir Gr1.00
Crestline Equity & Debt Gr ↔ Crestline Value Gr0.97
Crestline Equity & Debt Gr ↔ Northpeak Value Dir Gr0.97
View full correlation matrix
Portfolio overlap

55 fund pairs analysed · showing the 3 highest

Avg 17.05%
Crestline Equity & Debt GrCrestline Value Gr
44.88%
42 shared
Northpeak Value Dir GrMeridian ELSS Tax Saver Gr
41.77%
22 shared
Crestline Equity & Debt GrCrestline Balanced Adv Gr
41.35%
65 shared
View all 55 fund overlaps
Put a research-backed priority order on every client’s holdings.

See the money held elsewhere.

Track assets held outside Dhan Saarthi, split by Regular/Direct and Physical/Demat — with ready prospecting lists. It answers the migration objection and hands over AUM to bring in-house.

Total external AUM
₹4.8 Cr
Transferable AUM
₹3.1 Cr
Clients w/ transferable
38
Active external SIPs
54
app.dhansaarthi.com/external-aum
External AUM dashboard

Connected to the rest of your platform.

Sourced from an onboarded client, analysed here, acted on downstream — outputs flow straight into the recommendation workflow.

Portfolio Intelligence
Health, allocation, risk, overlap, Saarthi IQ
Advisory
Recommendation workflow
Transactions
Execution

Manual review vs. Portfolio Intelligence.

TaskManual / current processWith Dhan Saarthi
Health checkRebuild a deck per client in ExcelOne systematized view, every client, always current
Allocation analysisManual pie charts from statementsAsset, sector and market-cap breakdown, automatic
Risk flaggingGut feelVolatility, drawdown, Sharpe and beta, measured
Expense reviewRarely doneWeighted ER vs category, per book
Overlap detectionNear-impossible by handCorrelation + overlap, flagged automatically

Systematized analysis for your whole book — without the per-client hours.

See it on your own book.

Point Portfolio Intelligence at your clients and see the health, overlap and hidden AUM in minutes.

Frequently asked questions.

The short, honest answers — no sales call required.

What is Portfolio Intelligence in Dhan Saarthi?

The analytical core — systematized health, allocation, risk, expense and overlap analysis for every client, plus Saarthi IQ fund scoring and external AUM tracking. It replaces manual Excel review.

Can it replace my manual Excel portfolio review?

Yes — one always-current health view per client, auto-generated across your whole book.

How does it detect fund overlap?

Through fund correlation and portfolio overlap — pairwise correlation, most-correlated pairs and shared-holding percentage — and it flags concentration.

Is portfolio risk the same as client risk profiling?

No — this measures the portfolio's risk (volatility, drawdown, Sharpe, beta); the client's tolerance lives in Risk Profiling. Used together they flag mismatches.

What is Saarthi IQ?

A 0–100 Compass Score across Management, Alpha Consistency, Risk Efficiency and Participation Efficiency, mapped to five verdicts and refreshed monthly. A research signal, not investment advice.

Does it track assets held outside Dhan Saarthi?

Yes — total and transferable external AUM, active external SIPs, a Potential AUM breakdown and prospecting lists.

What do I do next?

Book a demo or start free.

Pick a slot — see Dhan Saarthi live.

20 minutes, no slides — just the product on your own data.