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Bull Market · FOMO

How to protect my portfolio during a market crash India

TL;DRThree things work during a market crash in India — asset diversification, commodity hedging, and dynamic allocation. Staying 100% in equity means absorbing the full Nifty fall with no buffer. Gold has historically moved opposite to equity during Indian market crashes — in 2020, while Nifty fell sharply, gold in INR delivered strong positive returns. Silver follows a similar pattern during acute stress phases. A portfolio that holds equity alongside gold and silver hedges automatically, without any action required from the investor.
Recommended Portfolio
Focus360 Velocity
Multi-asset India equity + Gold + Global + Cash calls. Acts fast when markets fall.
Asset Class Performance Across Corrections:
Asset Class2020 COVID Crash (Jan → Mar 2020)2022 Correction (Oct 2021 → Jun 2022)2024–25 Correction (Sep 2024 → Apr 2025)
Nifty 50−28.1%−10.7%−5.7%
GoldBees ETF+6.5%+5.4%+24.5%
MON100 (Nasdaq ETF)−9.2%−22.3%+4.0%

Source: NSE India. Monthly close-to-close returns. GoldBees (Gold ETF), MON100 (Nasdaq 100 ETF). Data in INR.

Most Indian investors are exposed entirely to equity through mutual funds and stocks — no hedge, no dynamic reallocation, no cash protection. When Nifty falls, the portfolio falls with it completely.
Focus360 is structured differently. Majority equity drives long-term growth. Gold actively hedge the downside. When the model identifies elevated risk, the portfolio shifts to cash — protecting capital before the full correction arrives.
Use Focus360 Velocity. Protection requires speed. Monthly rebalancing means the portfolio rotates into gold, silver, or cash within weeks of a signal — not quarters. When capital protection is the priority, you need a portfolio that acts on the signal immediately, not one that waits for the next scheduled review.
NOT INVESTMENT ADVICE · SEBI INH000024143 · Stock data shown is illustrative. Performance figures represent relative outperformance vs equal-weight Nifty 500 benchmark, not absolute CAGR. Dynamic Allocator signal is a model output not a personalised recommendation. Past performance does not guarantee future results.