Systematic investing · SEBI-registered

Where data engineers your portfolio.

Four factor-based investment strategies across Indian equity, ETFs and US large-caps — built, tested, and run every month by SEBI-registered practitioners who invest in them themselves. No black-box. No fund-manager guesswork. Just process.

  • Transparent picks
  • Flat monthly fee
  • SEBI-registered
SEBI Registered Research Analyst
4 Quant strategies
5Y Backtested track record
+28.69% Annual alpha Live

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

One for every risk appetite.

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

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
Small & Microcap
MindForge SmallMicro 500
500 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
US Large-Cap
MindForge S&P 500
500 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 three Indian-equity strategies — MultiAsset + LargeMidcap 250 + SmallMicro 500. Defensive ETFs, large & midcaps, and high-conviction small/microcaps, together for a single price.

₹29,990 / year
or ₹14,995 / 6 months
Get All-Access →

A different kind of money manager.

No fund-manager lottery. No black-box portfolios. No 2–2.5% expense ratios eating into your returns. Just academically validated factors, applied transparently to Indian markets.

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

Built by practitioners, not theorists.

MindForge Capital was founded by people who build and run these models themselves — more details coming soon.

Sagar Shekhawath
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
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
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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