Systematic investing · SEBI-registered

Where data engineers your portfolio.

Five factor-based investment strategies across Indian equity, ETFs and US large-caps — built, tested, and run every month by a SEBI-registered practitioner who invests in them personally. No black-box. No fund-manager guesswork. Just process.

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Transparent picks
Flat monthly fee
SEBI-registered

5Y Backtested Performance Live data

64.2%

Multicap CAGR

17.26%

Benchmark

MindForge Multicap Nifty 500

+46.95% annual alpha 2021–2026 · Backtest

The science

Built on 50 years of academic research.

Factor investing is not a trend — it is peer-reviewed finance, starting with the earliest models of how markets reward risk.

1964

CAPM — The first model

Sharpe, Lintner & Treynor showed that the only risk earning a return is market beta — undiversifiable systematic risk. This became the universal benchmark for separating genuine skill from factor exposure.

1992

Beyond CAPM — the multi-factor era

Nobel laureate Eugene Fama and Kenneth French proved CAPM was incomplete. Additional return factors were shown to systematically explain stock returns that market beta could not. The multi-factor era of academic finance began.

1997

The factor zoo expands

Over the following decades, researchers including Jegadeesh, Titman and Carhart documented further factor premia in equity markets, each surviving rigorous out-of-sample testing. Multi-factor models became the dominant framework for explaining cross-sectional returns.

2026

MindForge — Applied to India

We apply academically validated factors to Indian listed equities and ETFs. Every strategy is built on factors that are persistent, pervasive, robust, investable and intuitive.

Persistent

Holds across decades

Pervasive

Holds across markets

Robust

Not one formulation

Investable

Works after costs

Intuitive

Logical explanation

Five strategies

One for every risk appetite.

From capital-efficient multi-asset rotation to concentrated small-cap alpha — subscribe to one or all five.

Multi-Asset

MindForge MultiAsset

8 assets · Weekly signals · Monthly rebalance

24.9%

5Y CAGR

10.13%

Nifty 50 · Benchmark

Strategy Benchmark

Rotates systematically across Nifty 50, Next 50, Midcap 150, Smallcap 250, Gold, Silver, Bharat Bond and NASDAQ ETFs using a multi-factor scoring model with a long-term trend overlay. +14.75% annual alpha over the Nifty 50 Index.

How it works

Multi-factor scoring Risk-adjusted ranking Long-term trend overlay

Large & Midcap Most popular

MindForge LargeMidcap 250

25 stocks · Nifty LargeMidcap 250 · Monthly rebalance

37.0%

5Y CAGR

15.37%

LargeMidcap 250 · Benchmark

Strategy Benchmark

Selects the top 25 stocks from the Nifty LargeMidcap 250 universe using a proprietary multi-factor scoring model. Capped at 3 stocks per industry. 5-year backtest shows +21.68% alpha over the Nifty LargeMidcap 250 Index.

How it works

Multi-factor scoring Equal-weight portfolio 3-per-industry cap Monthly rebalance

Small & Microcap

MindForge SmallMicro 500

25 stocks · Smallcap 250 + Microcap 250 · Monthly rebalance

47.8%

5Y CAGR

19.14%

Nifty Smallcap 250 · Benchmark

Strategy Benchmark

The highest-conviction strategy — selects 25 stocks from 500 small and micro-cap names. A proprietary multi-factor model tuned for the segment's thin-liquidity dynamics. 5-year backtest shows +28.69% alpha over the Nifty Smallcap 250 benchmark.

How it works

Multi-factor scoring Equal-weight portfolio 3-per-industry cap Liquidity-aware

Multi-Cap

MindForge Multicap

10 stocks · Large + Mid + Small + Micro · Monthly rebalance

64.2%

5Y CAGR

17.26%

Nifty 500 · Benchmark

Strategy Benchmark

Ten high-conviction stocks selected across the entire market-cap spectrum — large, mid, small and micro — by a unified multi-factor model. The most concentrated strategy in the suite. 5-year backtest shows +46.95% alpha over the Nifty 500 benchmark.

How it works

Multi-factor scoring Full-cap universe 10-stock concentration Monthly rebalance

US Large-Cap

MindForge S&P 500

30 US stocks · S&P 500 universe · Monthly rebalance

27.3%

5Y CAGR

13.30%

S&P 500 · Benchmark

Strategy Benchmark

Top 30 US large-cap stocks selected from the S&P 500 via a proprietary multi-factor scoring model. Capped at 4 per GICS sector. 5-year backtest shows +14.02% alpha over the S&P 500 Index.

How it works

Multi-factor scoring Equal-weight portfolio 4-per-sector cap USD pricing

Best value · Save ~40%

MindForge All-Access — Indian Equities

One pass for all four Indian-equity strategies — MultiAsset + LargeMidcap 250 + SmallMicro 500 + Multicap. Defensive ETFs, large & midcaps, high-conviction small/microcaps, and a concentrated full-cap book — together for a single price.

₹44,990 / year

or ₹24,990 / 6 months

Get All-Access →

Why MindForge

A different kind of money manager.

Academic foundations

Every signal in our multi-factor models is grounded in peer-reviewed finance, not a hot tip.

50+ years of research

Built for India

NSE-listed instruments, Indian liquidity dynamics, INR-priced. We trade what you can trade — no offshore wrappers.

100% India-listed

Total transparency

Every monthly rebalance is published in full — exact tickers, exact weights. No black-box claims. You see what the model sees.

0 hidden trades

Honest pricing

A flat monthly subscription — no AUM-based fees, no profit share, no exit loads. At our recommended investment sizes it works out to roughly 1% a year in fee drag — versus the 2–2.5% expense ratio a typical active mutual fund charges on your entire corpus, every year. You keep 100% of your gains.

~1% fee drag vs 2–2.5% MF

Hands-off operation

Once a month, you receive your rebalance. Place the orders in your broker (or skip a month). No phone calls, no meetings.

~10 min per month

SEBI registered

Research published under a SEBI-registered Research Analyst. Compliant by design — your subscription is safe and regulated.

RA registered

The founders

Built by practitioners, not theorists.

MindForge Capital was founded by people who build and run these models themselves.

Sagar Shekhawath

Founder & Chief Investment Strategist

Primary architect of MindForge Capital's quantitative strategies, with 8+ years of retail investing and trading experience spanning multiple market cycles. Holds an MBA in Finance with advanced certifications from IIT Kanpur and IIM Kozhikode. Brings 5 years of professional experience leading delivery of critical AI/ML applications for global enterprise clients. SEBI Registered Research Analyst.

Shagun Singh

Brand & Content Strategy

Leads MindForge Capital's brand identity, content strategy, and investor communications. With an MBA in Marketing and 2 years of hands-on experience building brand presence for a growing startup, Shagun brings a sharp eye for authentic storytelling — translating complex quantitative strategies into clear, compelling narratives for investors at every stage of their journey.

Ankith Maganti

Principal Data Analyst

Drives the data infrastructure and analytical backbone behind MindForge Capital's strategy performance tracking. With 5 years of professional experience building product dashboards and data pipelines for leading FinTech clients, Ankith ensures our models are grounded in clean, reliable data — and that performance is measured with the precision institutional investors expect.

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