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.
A dynamic, signal-driven rotation across six asset classes.
The MultiFactor MultiAsset strategy allocates capital across six ETFs spanning Indian equities (large-cap, next-50, midcap), NASDAQ, Bharat Bond and Gold — all listed on NSE. The model shifts weights every month based on which assets show the strongest risk-adjusted momentum.
When equity markets are turbulent, the model naturally moves weight toward gold or fixed income. When Indian markets are running, equity ETFs attract larger allocations. This is not done by judgement — it is computed systematically every week, with the monthly rebalance reflecting the current signal.
Trend-following core
Rewards assets in sustained uptrends. Reduces weight on assets with deteriorating momentum across multiple timeframes.
Volatility-adjusted
High-volatility assets receive a score penalty proportional to how much more volatile they are relative to the universe.
ETF-only universe
All six instruments are highly liquid NSE-listed ETFs. No illiquidity, no single-stock risk, no derivatives.
Fully transparent
Every month you receive exact allocation weights. The model never changes its rules mid-cycle.
Full performance analysis
Backtest period: 2022-04-15 → 2026-04-10. Simulated performance, not live trading. Past performance is not indicative of future returns.
Top 25 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 quantitative signals. The top 25 — capped at 3 per industry — are selected and held in equal weight until the next rebalance. No overrides, no exceptions, no gut calls.
The 5-year backtest delivered 36.8% CAGR vs a 24.4% equal-weight benchmark — a +12.4% annual alpha. The Sharpe ratio of 1.44 reflects strong risk-adjusted returns, not just raw performance. Maximum drawdown was -20.5% versus -29.1% for the benchmark.
250-stock universe
Covers the top 100 NSE companies plus 150 midcap stocks — capturing the majority of India's listed market cap.
Price momentum
The model rewards stocks delivering strong returns across recent months — the most documented return factor globally.
Trend confirmation
A trend-strength signal filters out short-term spikes and confirms that price strength is sustained and directional.
Low volatility bias
All else equal, the model prefers stocks with lower realised volatility — consistent with the low-volatility anomaly in Indian markets.
Full performance analysis
Backtest period: May 2021 → June 2026 · 36.8% CAGR vs 24.4% benchmark · Beats benchmark 66% of months. Simulated performance, not live trading. Past performance is not indicative of future returns.
50 high-conviction picks from 500 small and microcap stocks. Rules only.
The combined Nifty Smallcap 250 and Microcap 250 universe gives the model 500 stocks to rank each month. The top 50 — capped at 3 per industry — are selected and held in equal weight. Small and microcap stocks are genuinely different from large-cap, so the model uses signals purpose-built for this segment's liquidity dynamics.
The 5-year backtest delivered 40.0% CAGR — the highest of MindForge's three strategies — against a 27.9% equal-weight benchmark. Maximum drawdown was -27.6%, reflecting the higher volatility inherent in the small and microcap segment. The Sharpe ratio of 1.46 shows this additional risk was historically well-compensated.
500-stock universe
Smallcap 250 + Microcap 250 — India's broadest listed segment. Both constituent lists fetched live from NSE each cycle.
Volume breakout signal
Rising 20-day vs 60-day average volume signals real institutional accumulation — not a thin-market illusion.
Relative volatility
Uses short-term vs long-term vol ratio rather than absolute vol — far more informative in the microcap segment.
High risk, high reward
Highest expected return of MindForge's three strategies. Requires minimum ₹25L and genuine tolerance for -27% drawdowns.
Full performance analysis
Backtest period: Apr 2021 → Apr 2026 · 40.0% CAGR vs 27.9% benchmark · Sharpe 1.46 · Max drawdown -27.6%. Simulated performance, not live trading. Past performance is not indicative of future returns. This strategy carries significant risk.