Systematic investing

Where data engineers your portfolio.

MindForge Capital runs three robustly tested quant strategies across Indian equity and ETF markets — built for investors who believe in process over prediction.

Explore strategies How it works
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
Fama-French — Size & Value
Nobel laureate Eugene Fama and Kenneth French proved CAPM was incomplete. Two new factors — Size (small minus big) and Value (cheap minus expensive) — explained returns that market beta could not. The multi-factor era began.
1997
Momentum — The fourth factor
Jegadeesh, Titman and Carhart documented that stocks with strong recent performance continue to outperform for 3–12 months. The U.S. momentum premium averaged 9.6% per year from 1927–2015 — the highest of all studied factors.
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 — the five criteria from Berkin & Swedroe's definitive guide.
P
Persistent
Holds across decades
P
Pervasive
Holds across markets
R
Robust
Not one formulation
I
Investable
Works after costs
I
Intuitive
Logical explanation

Five criteria from Your Complete Guide to Factor-Based Investing — Berkin & Swedroe (2016)

Three strategies

One for every risk appetite.

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

Multi-Asset
MultiFactor MultiAsset
6 assets · Weekly signals · Monthly rebalance
15.3%
5Y CAGR
12.3%
Benchmark CAGR

Rotates systematically across Nifty 50, Next 50, Midcap 150, Gold, Bharat Bond and NASDAQ ETFs using momentum, volatility-adjusted scoring and a 10-month trend filter. Defensive by design.

Signal factors
3M + 6M + 12M momentum Vol-adjusted score 10M MA trend filter
Min. investment ₹1,00,000
₹199 / month
Learn more →
Large & Midcap Most popular
MultiFactor LargeMidcap 250
250 stocks · Nifty LargeMidcap 250 · Monthly rebalance
36.8%
5Y CAGR
24.4%
Benchmark CAGR

Selects the top 25 stocks from the Nifty LargeMidcap 250 universe using five quantitative factors. Capped at 3 stocks per industry. 5-year backtest shows +12.4% alpha over equal-weight benchmark.

Signal factors
Momentum Trend strength Low volatility 52-Week high Amihud liquidity
Min. investment ₹5,00,000
₹499 / month
Learn more →
Small & Microcap
MultiFactor SmallMicro 500
500 stocks · Smallcap 250 + Microcap 250 · Monthly rebalance
40.0%
5Y CAGR
27.9%
Benchmark CAGR

The highest-conviction strategy — selects 50 stocks from 500 small and micro-cap names. Uses volume breakout and relative volatility signals tuned specifically for the thin-liquidity dynamics of this segment.

Signal factors
Momentum Trend strength Volume breakout 52-Week high Relative volatility
Min. investment ₹25,00,000
₹999 / month
Learn more →
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The founders

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.