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LargeMidcap 250

Top 15 large & midcap stocks, selected systematically.

A factor-based portfolio of 15 stocks drawn from the Nifty LargeMidcap 250 universe — ranked monthly by a proprietary multi-factor model, with a 2-per-sector cap.

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Annual plan: ₹9,590 / yr (save ₹2,398) · 5-year backtested · SEBI-Registered Research Analyst

Verified live P&L on Zerodha

LIVE This cycle — vs benchmark — since — · closes through — · model portfolio, not audited returns Track it live in your dashboard →
—
Live · this cycle —
18.6%
Backtested CAGR · after tax Nov 2026
8.68%
LargeMidcap 250 · Benchmark CAGR · after tax
15
Assets in portfolio
-23.1%
Deepest fall · backtest
Monthly
Rebalance cycle

Top 15 stocks from the Nifty LargeMidcap 250. Every month, without exception.

The model scores all 250 stocks in the Nifty LargeMidcap 250 universe each month using our proprietary multi-factor framework. The top 15 — capped at 2 per industry — are selected and held in equal weight until the next rebalance. No overrides, no exceptions, no gut calls.

The 5-year backtest shows, after 20% short-term capital-gains tax, 18.6% CAGR vs a 8.68% Nifty LargeMidcap 250 Index benchmark — a +9.94% annual alpha. The Sharpe ratio was 0.99, against the index's 0.26. Maximum drawdown was -23.1%, against -18.4% for the index over the same window.

Equal weight, sector-capped. Every stock in the portfolio carries the same weight. The 2-per-industry cap ensures no single sector dominates. Even when one industry leads, the portfolio remains diversified across multiple sectors simultaneously.
Return per unit of risk, and the deepest fall · backtest

Here are its return per unit of risk and its worst peak-to-trough fall, measured over the same backtest window as everything else on this page, against its own index:

Sharpe ratio · backtest
0.99
Nifty LargeMidcap 250 over the same window: 0.26
Deepest fall · backtest
-23.1%
Nifty LargeMidcap 250 over the same window: -18.4%

And the return itself, beside real funds in its category:

How LargeMidcap 250 stacks up · backtest CAGR, after tax

Ours pays 20% short-term capital-gains tax every month it books a profit, because it rebalances monthly. The funds and the index are bought once and held, so they pay 12.5% long-term once at exit on gains above ₹1,25,000. Fund figures are Direct Plan returns from AMFI's NAVs over the same months as our backtest (Oct 2021 → Oct 2026), already net of their expense ratio.

MindForge LargeMidcap 18.6%
Motilal Oswal Large & Midcap 15.8%
Bandhan Large & Mid Cap 14.0%
ICICI Pru Large & Mid Cap 11.8%
Nifty LargeMidcap 250 Index 8.68%
SBI 5-year FD, today's rate ~4.2%

Backtested, not live trading. Past performance is not indicative of future returns. The fixed-deposit line is SBI's 5-to-10-year rate as of September 2026 (6.05%), after tax at a 30% slab — what a deposit pays today, not a five-year history.

250-stock universe

Covers the top 100 NSE companies plus 150 midcap stocks — capturing the majority of India's listed market cap.

Multi-factor scoring

A proprietary blend of academically validated factor signals ranks every stock each month. Composition and weighting are MindForge IP.

Equal-weight, sector-capped

Every name carries the same weight; no single industry can take more than 2 of the 15 slots. Diversification is structural, not promised.

Rules over hunches

The model runs identically every cycle. Output is a portfolio — not a thesis, not a call, not a discretionary tweak.

5-year backtest results (2021–2026), stated after 20% short-term capital-gains tax. Simulated performance, not live trading. Past performance is not indicative of future returns. Not investment advice.
Compare it with your fund →Your starting capital, your monthly addition — after each side’s own tax, with our flat fee taken out in rupees. See a sample dashboard →The screen members place their orders from, with placeholder stocks. Talk to the analyst first →15 minutes with Sagar Shekhawath (SEBI RA), before you subscribe. No charge.

Full performance analysis

Gross of tax These charts and the month-by-month grid show the model’s own curve, before tax — that is what a backtest produces. Every headline figure on this page is stated after 20% short-term capital-gains tax: 29.4% gross becomes 18.6% after tax.

Month by month Backtest
Oct 2021 – Oct 2026 · 61 completed months
Months finished up
42 of 61
69%
Months ahead of the index
41 of 61
67%
Best month
+13.8%
Nov 2023
Worst month
−13.9%
Mar 2026

Left pair: share of all 61 months. Right pair: their own shared scale — the bigger move fills its track and the other draws its true fraction of it.

Simulated monthly returns of MindForge LargeMidcap 250 by calendar year, with the calendar-year total and the gap to Nifty LargeMidcap 250.
YearJanFebMarAprMayJunJulAugSepOctNovDecYearvs index
2021+0.8+0.5+9.9+11.3+11.1
2022−2.3−6.8+9.0+3.3−7.7−2.7+13.7+13.0+2.0+2.8+3.5+0.7+29.3+25.9
2023−8.7−4.9+1.1+7.2+2.5+10.7+11.5+8.5+8.7+0.5+13.8+13.7+82.4+50.9
2024+6.9+1.4+1.5+9.3+4.8+6.8+8.0+3.2−0.3−5.6−1.1+5.5+47.0+29.2
2025−12.1−10.9+8.4+0.5+8.9+6.8−4.7+1.3−2.3+2.3+2.4+7.6+5.5−1.7
2026−0.5+1.4−13.9+7.6+4.7−0.6−0.8+1.1−6.2−0.6−9.1−1.3

Every figure above is computed from the same simulated equity curve as the CAGR on this page — month-end to month-end, model portfolio versus the Nifty LargeMidcap 250, no costs or slippage assumed. vs index is the calendar-year gap in percentage points. 2021 and 2026 are part years — their totals cover only the months shown. Backtested, not live trading. Past performance is not indicative of future returns.

Choices made on the same history. The number of stocks in each book, the cap of two per industry and the model’s settings were chosen while testing on this same 2021–2026 history. A backtest cannot test a choice that was made by looking at it, which is one more reason to read these figures as an upper bound rather than an expectation. How these are built, and where they flatter us →

Performance Summary
LargeMidcap 250 performance summary scorecard — key metrics vs Nifty 50 benchmark
Growth of ₹1,00,000
LargeMidcap 250 growth of ₹1,00,000 since inception vs benchmark
Rolling 12-Month Returns iTop panel: rolling 1-year CAGR for the strategy vs benchmark. Bottom panel: rolling Sharpe ratio — how much return was earned per unit of risk. A Sharpe above 1.0 means more than 1 unit of return for every unit of volatility taken.
LargeMidcap 250 rolling 12-month returns and Sharpe ratio vs benchmark
Drawdown from Peak
LargeMidcap 250 drawdown from peak — depth and duration of losses over time
Fund vs Benchmark — Cumulative Returns
LargeMidcap 250 cumulative returns vs benchmark since inception

Backtest period (all figures after tax): Oct 2021 → Oct 2026 · 61 months · Benchmark: Nifty LargeMidcap 250 Index · 18.6% CAGR vs 8.68% benchmark · Beats benchmark 67% of months. Simulated performance, not live trading. Past performance is not indicative of future returns.

LargeMidcap 250 — common questions

How many stocks are in the LargeMidcap 250 portfolio?

The LargeMidcap 250 portfolio holds 15 large and mid-cap NSE stocks at any time. A quantitative model re-scores the large and mid-cap universe each month and publishes the updated list of holdings and weights to your member dashboard.

How much does a LargeMidcap 250 subscription cost?

The LargeMidcap 250 subscription is 999 rupees per month. Quarterly, half-yearly and annual billing carry 5%, 10% and 20% discounts respectively, and new members currently get their first month free.

How often is the portfolio rebalanced?

The portfolio rebalances monthly. On each rebalance the model re-scores its universe and publishes the complete new holding list to your dashboard — every ticker, its weight and its recommended price. You place the resulting orders in your own broker account — MindForge never touches your money or executes a trade for you.

Are the performance figures live or backtested?

The headline CAGR and risk figures shown on this page are from a historical backtest — a simulation over past data, not live trading. Backtested results are hypothetical, and past performance is not indicative of future returns. Any figure explicitly labelled Live reflects real, tracked cycle returns.

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