One for every risk appetite.

From capital-efficient multi-asset rotation to concentrated small-cap alpha. Select a strategy below to explore its approach, backtest results, and how to get started.

Combined performance Backtest Live · model
MultiAsset
LIVEsince last rebalance
15.9%2023–2026 backtest CAGR · after tax
LargeMidcap 250
LIVEsince last rebalance
29.8%2021–2026 backtest CAGR · after tax
SmallMicro 500
LIVEsince last rebalance
39.6%2021–2026 backtest CAGR · after tax
Backtest windows shown per strategy · Updated Jul 2026 · LIVE since the rebalance
Broker-verified

Two strategies. Two accounts. Two records we don’t write.

Each paid strategy is traded in its own dedicated Zerodha account, executing that model and nothing else. Zerodha publishes each account’s P&L on its own verified page. The figures below are ours; the record behind the link is not.

LargeMidcap 250 Account 1 Live · model this cycle · vs benchmark Backtest · 2021–2026 · after tax 29.8%CAGR vs 12.14%benchmark +17.66% alpha View the verified P&L
SmallMicro 500 Account 2 Live · model this cycle · vs benchmark Backtest · 2021–2026 · after tax 39.6%CAGR vs 13.41%benchmark +26.15% alpha View the verified P&L

Three different things, deliberately kept apart. The green figure is the model portfolio’s move since the last rebalance — not audited client returns and not the account’s P&L. The CAGR pair is a backtest: simulated, not live trading. Only the linked page is the broker’s own record — open a card to see it. Past performance is not indicative of future returns. MultiAsset is free and is not traded in a dedicated account.

After tax

Every backtest figure here is what you actually keep.

Published fund returns are gross of your tax. Ours are not. Because these strategies rebalance every month, no position is ever held twelve months, so every gain is short-term and pays 20% the month it is booked. A fund you buy and hold pays 12.5% once, at exit, on gains above ₹1,25,000 — and nothing in between. We show both sides after their own tax, because that is the only comparison worth making.

LargeMidcap 250 on ₹10,00,000
29.8% a year, after tax

Gross backtest
44.2%
Short-term tax paid
₹13,51,341
What you keep
₹37,65,899

Best comparable fund, after its tax (Motilal Oswal Large & Midcap): 19.5%

SmallMicro 500 on ₹15,00,000
39.6% a year, after tax

Gross backtest
59.4%
Short-term tax paid
₹28,50,344
What you keep
₹81,65,206

Best comparable fund, after its tax (Nippon India Small Cap): 20.0%

MultiAsset on ₹5,00,000
15.9% a year, after tax

Gross backtest
22.5%
Short-term tax paid
₹1,37,645
What you keep
₹8,37,939

Best comparable fund, after its tax (Quant Multi Asset): 22.0%

Backtested, not live trading. Past performance is not indicative of future returns. Tax is modelled at 20% on every month that books a profit, with no set-off of losing months — the harshest reading of the rules, chosen deliberately. Rupee figures assume the capital shown on each card. Risk metrics elsewhere on this site (Sharpe, maximum drawdown) are measured on the gross curve, as is standard. This is not tax advice; your own rate, slab and set-offs will differ.

PERFORMANCE & MODEL PICKS

See the live returns, the backtest, and the picks — for every strategy

Each strategy's live model-portfolio return since the last rebalance, its backtested CAGR vs its benchmark, a sample of the model picks, and how the category's popular mutual funds compare on returns and fees. Subscribers get the current month's full picks live — with prices, an allocation calculator and one-tap broker deeplinks.

Backtested track record · after 20% STCG · free strategy
MultiAsset · backtested CAGR, after tax15.9%
vs
Nifty 50 · after LTCG9.50%
Live this cycle vs
This month's ETF mix updates live on the dashboard — free to everyone.

Model holdings · 8 ETFs across equity, gold, silver & debt

#HoldingTickerSleeveWeight
1NASDAQ ETFMON100ETF29.92%
2Gold ETFGOLDBEESETF17.36%
3Nifty SmallCap 250 ETFHDFCSML250ETF16.13%
4Nifty Midcap 150 ETFMID150BEESETF12.47%
5Nifty Next 50 ETFJUNIORBEESETF10.45%
6Bharat Bond ETFEBBETF0431ETF8.28%
7Silver ETFSILVERBEESETF4.27%
8Nifty 50 ETFNIFTYBEESETF1.12%
No card required · live picks the moment you join
Comparable multi-asset allocation funds · trailing returns, Direct Plan · after tax = 12.5% LTCG paid once at exit, first ₹1,25,000 of gains exempt
Fund5-yr CAGRAfter taxExpense ratio
Quant Multi Asset23.8%22.0%0.60%
ICICI Pru Multi Asset19.7%18.3%0.70%
SBI Multi Asset Allocation15.2%14.2%~1.0%
MindForge MultiAsset backtested22.5%15.9%FREE

MindForge MultiAsset is since the rebalance

Those funds skim 0.6–0.7% of your entire corpus every year (regular plans run 1.5%+) — and the rupee cost climbs as you compound. MindForge MultiAsset is free. See what a % fee really costs →

Strategy CAGR figures are backtested / simulated and stated after 20% short-term capital-gains tax, not realised; the live figures are model-portfolio moves since the last rebalance (not audited client returns, and gross of tax). Mutual-fund returns are actual trailing returns for the Direct Plan (sourced from public fund pages, ~Jul 2026) and will change over time. Shown for comparison only — not investment advice or a recommendation of any fund. Past performance does not guarantee future results.

YOUR MONEY, COMPARED

What ₹10,00,000 would have made

Hypothetical compounding at the backtested CAGR after 20% short-term capital-gains tax, against a typical active mutual fund at its benchmark return after 12.5% long-term tax and minus a conservative 1.5% expense ratio. Our flat subscription is not deducted here — the fee calculator does that. Not investment advice — for comparison only.

MindForge model portfolio (after 20% STCG)
Typical mutual fund (benchmark after LTCG, − 1.5% TER)
Difference
Backtested CAGR · after tax is simulated, not real. Mutual fund comparison uses the benchmark index CAGR (Nifty 50 / Nifty LargeMidcap 250 / Nifty Smallcap 250) less a conservative 1.5% expense ratio. Past performance does not guarantee future results.

Compare all strategies Updated Jul 2026

Metric MultiAssetFree LargeMidcap 250★ Most popular SmallMicro 500Top CAGR
Performance
Backtested CAGR · after tax15.9%29.8%39.6%
Live (since last rebalance)
BenchmarkNifty 50Nifty LargeMidcap 250Nifty Smallcap 250
Benchmark CAGR · after tax9.50%12.14%13.41%
Alpha (annual, after tax)+6.40%+17.66%+26.15%
Risk profile
Sharpe Ratio0.991.391.52
Max Drawdown-11.6%-25.8%-22.5%
Risk LevelLowMediumHigh
Pricing & access
Min. Investment₹1,00,000₹10,00,000₹15,00,000
Monthly FeeFREE₹999₹1,499
Annual Fee (20% off)FREE₹9,590
save ₹2,398
₹14,390
save ₹3,598

Each bar is that row only: full width is the best value in the row, so the bars compare the three strategies on one metric and never across metrics. The numbers above them are the figures.

Method Applies to every backtested figure on this site

How MindForge backtests

Every backtested percentage on this site comes out of the same simulation, run the same way for all three strategies. We publish how it is built — not what the models score on, which stays proprietary — so you can judge the numbers by the rigour of the process rather than by how good they look.

  1. The universe is fixed before the test Each strategy tests against a defined list of NSE-listed securities set in advance. Nothing is added to it because it later turned out to do well.
  2. Nothing is scored on data it could not have had At every historical rebalance the model sees only prices and volumes up to that date. Over a year of history is burned as warm-up before the first month is ever scored.
  3. Extremes are tamed, not deleted Every input is trimmed at its statistical extremes and put on a common scale before ranking, so one freak print cannot carry a stock into the book. Names with too little trading history to score are left out rather than guessed at.
  4. Every month counts The model rebalances on the last trading day of each month and holds until the next. Every month in the window is scored — none is skipped, re-run or chosen after the fact.
  5. Turnover is charged On both equity strategies each rebalance pays a one-way trading cost on what actually changed hands, at a wider rate for the small- and micro-cap book. Returns shown are after that charge.
  6. The assumptions live in one file Cost rates, the risk-free rate and each strategy's benchmark are declared once, centrally, and read by the backtest, the charts and this website alike. No run carries its own private numbers.
  7. The benchmark is the real index Each strategy is measured against the actual index path over the same dates — not a smooth long-run average. So the benchmark's own return, risk and drawdown all describe the same window.
  8. One run, one set of numbers Return, volatility, Sharpe, drawdown, win rate and best month are all read off the same equity curve from the same run. No metric comes from a different, friendlier window.
  9. Published straight from the run Every figure on these pages is written in from the simulation's own output files each month by the publishing script, then re-derived from the equity curve by a separate check before anything goes live.
And where it flatters us — stated up front.
  • Survivorship. The universe is built from companies listed today, so businesses that were delisted or wound up during the window are never held and never lose money in the simulation. This makes the returns shown higher than a bias-free test would produce.
  • MultiAsset charges no trading cost at all in its simulation, and it rotates every month. That book's figures are more optimistic on cost than the two equity books, not less.
  • Thinly traded prices go stale. A stock that does not trade every session carries its previous close forward in the simulation. That understates its measured volatility, and a holding that stopped trading altogether would report no move rather than a loss.
  • One historical window is not a forecast. These are simulations over a single, largely rising market. No client money was managed and no orders were placed.

The full methodology, the exact cost assumptions, benchmark construction and every known limitation are set out in Backtest methodology & known limitations. Backtested performance is hypothetical, has inherent limitations and is not indicative of future results.

Explore each strategy in depth

Each strategy has its own dedicated page with the full backtest chart pack, factor-model explanation, sidebar pricing, and subscribe flow.