Silver coin with a tree engraving, representing the Optimiser Portfolio strategy.

Optimiser Portfolio

Optimiser Portfolio

Optimiser Portfolio

Optimiser Portfolio

Quant-based, rules-driven, fully invested & equal-weighted portfolio.

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View Factsheet

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Quant-based

Style

₹219.68Cr

AUM as on,

AUM

29.97

%

3 Year CAGR

3Y CAGR

Apr 30, 2021

Inception Date

Why Optimiser Portfolio?

Why Optimiser Portfolio?

Quant-Based Stock Selection
Quant-Based Stock Selection

Data-driven stock ranking using objective, rule-based parameters across a defined equity universe.

Data-driven stock ranking using objective, rule-based parameters across a defined equity universe.

Security selection is governed by structured quantitative criteria rather than subjective judgement.

Security selection is governed by structured quantitative criteria rather than subjective judgement.

Systematic Quant Framework
Systematic Quant Framework

Invests in stocks demonstrating sustained relative strength, with clearly defined exit rules when momentum thresholds weaken.

Invests in stocks demonstrating sustained relative strength, with clearly defined exit rules when momentum thresholds weaken.

The framework is designed to enforce discipline through market cycles.

The framework is designed to enforce discipline through market cycles.

Equal-Weighted Portfolio
Equal-Weighted Portfolio

Equal allocation across selected stocks with annual rebalancing to manage concentration risk and maintain structural balance.

Equal allocation across selected stocks with annual rebalancing to manage concentration risk and maintain structural balance.

Performance

Performance

₹ 1Cr invested on 30 April, 2021 would have grown to ₹ 2.80Cr in the Optimiser Portfolio vs ₹ 1.73Cr in the Nifty 50 TRI.

₹ 1Cr invested on 30 April, 2021 would have grown to ₹ 2.80Cr in the Optimiser Portfolio vs ₹ 1.73Cr in the Nifty 50 TRI.

Compare,

3 months

3 months

6 months

6 months

1 year

1 year

3 years

3 years

Since Inception

Max

This Strategy

This Strategy

-1.53

-2.26

7.66

29.97

25.43

Nifty 50 TRI

Nifty 50 TRI Benchmark

-5.15

-6.53

-0.28

11.2

11.41

Performance data as on

Returns upto 1 year are Absolute, those above 1 year are CAGR. Returns are net of expenses and fees. Inception date - 30 April, 2021. Past performance is not indicative of future results. Refer to disclosure documents for risks. Performance may vary and is not SEBI-verified. For relative performance of investment approaches, visit APMI Report. Figures represent aggregate discretionary portfolios; individual results may differ.

Returns upto 1 year are Absolute, those above 1 year are CAGR. Returns are net of expenses and fees. Inception date - 30 April, 2021. Past performance is not indicative of future results. Refer to disclosure documents for risks. Performance may vary and is not SEBI-verified. For relative performance of investment approaches, visit APMI Report. Figures represent aggregate discretionary portfolios; individual results may differ.

Key Information

Key Information

Strategy Structure

Discretionary

Benchmark

Nifty 50 TRI

Investment Horizon

> 5 years

Risk

High

Minimum Investment

₹50L

Inception Date

No. of Schemes

20

Rebalancing

Annual

Entry / Exit Load

Nil

Strategy AUM

₹219.68Cr

Universe

Top 200 by Market Cap, BSE 200, NSE F&O

All you want to know about Optimiser.

All you want to know about Optimiser.

How this Strategy Works

Built for

Risk Consideration

Universe Definition

Top 200 stocks by market capitalisation , BSE 200 constituents, and NSE F&O segment.

Multi-Factor Ranking

Stocks are scored using a structured quantitative framework.

Portfolio Construction

15-25 selected stocks allocated equal weights.

Annual Rebalancing

Equal weights reset once a year to maintain discipline.

Ongoing Monitoring

Liquidity filters and defined policy checks applied.

How this Strategy Works

Built for

Risk Consideration

Universe Definition

Top 200 stocks by market capitalisation , BSE 200 constituents, and NSE F&O segment.

Multi-Factor Ranking

Stocks are scored using a structured quantitative framework.

Portfolio Construction

15-25 selected stocks allocated equal weights.

Annual Rebalancing

Equal weights reset once a year to maintain discipline.

Ongoing Monitoring

Liquidity filters and defined policy checks applied.

How this Strategy Works

Built for

Risk Consideration

Designed for,

Systematic equity allocation

Long-term capital deployment

Investors comfortable with equity volatility

Structured, rules-driven frameworks

Not Designed for,

Short-term investment horizons

Capital protection mandates

Tactical market timing

Value or contrarian stock selection

“Optimiser works because winners tend to keep winning.”

“Optimiser works because winners tend to keep winning.”

“Optimiser works because winners tend to keep winning.”

“Optimiser works because winners tend to keep winning.”

“Optimiser works because winners tend to keep winning.”

Mandar Bagul, Fund Manager.

Mandar Bagul, Fund Manager.

Mandar Bagul, Fund Manager.

Fund manager Mandar explains about the objective and investment decisions of Optimiser strategy.

Watch Strategy Video

Portrait of Mandar Bagul, Fund Manager for Optimiser Portfolio and Select Direct Growth.

We prioritise repeatable frameworks over prediction and consistency over impulse.

20,000Cr

+

Overall Group AUM (Scripbox)

23 Years

+

Experience in Wealth Management

3

+

Defined, Focused Portfolio Mandates

We prioritise repeatable frameworks over prediction and consistency over impulse.

20,000Cr

+

Overall Group AUM (Scripbox)

23 Years

+

Experience in Wealth Management

3

+

Defined, Focused Portfolio Mandates

We prioritise repeatable frameworks over prediction and consistency over impulse.

20,000Cr

+

Overall Group AUM (Scripbox)

23 Years

+

Experience in Wealth Management

3

+

Defined, Focused Portfolio Mandates

* AUM data updated as on