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Better returns than FD India — what investment approach works?

TL;DRFD currently offers 6.5–7% annually in India. After tax and inflation, the real return is near zero. Equity markets have historically delivered significantly higher returns over 10-year periods — but with volatility most FD investors cannot tolerate. The question is not whether equity beats FD — the data is consistent. The question is which approach captures equity-level returns without relying on luck or timing. A systematic, momentum-driven strategy that holds what the market is rewarding and cuts what it is not has historically delivered this gap with discipline.
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Instrument Risk-Return Analysis:
InstrumentCAGR (5yr)Inflation-AdjustedAnnualized Volatility
Bank FD6.5–7%~0–1% realVery Low
Nifty 5016.5%~10–11% real13.4% — Medium High
Nifty 200 Momentum 30 Index (NSE)17.9%~12–13% real18.9% — High

Source: NSE India. Nifty 200 Momentum 30 data: Oct 2020–May 2026 (5.6 years). FD rate: current SBI 1-year FD. Inflation adjusted using ~5.5% avg CPI. Past performance is not indicative of future returns.

The gap between FD and equity widens significantly over 5–10 years. But most investors picking random stocks or staying in underperforming mutual funds barely beat FD at all. The key is systematic stock selection — holding stocks the market is currently rewarding, cutting the ones it is not, and repeating this with discipline every rebalancing cycle.
This is not buy-and-hold. It is a rules-based system that identifies where returns are being generated right now and positions the portfolio there.
Use Quant Compounding. Quarterly rebalancing gives momentum positions time to run and compound into significant contributors — not cut early on noise. For investors genuinely moving away from FD into high-return territory, patience within a systematic framework is the answer.
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.