What is momentum investing? A plain-language guide

7 Oct 2026 · 2 min read

Momentum investing rests on one simple observation: prices that have been rising for a while often keep rising for a while longer, and prices that have been falling often keep falling. A momentum strategy tries to hold the first group and avoid the second.

The idea in one line

Rank a group of stocks (or ETFs) by how strongly they have been rising, hold the strongest few, and check the ranking again at fixed times.

How a momentum strategy is built

A rule-based momentum strategy answers five questions:

  1. Universe: which stocks may be considered, for example the Nifty 500 or the Microcap 250.
  2. Conditions: who is allowed in at all, for example only stocks whose 6-month return is above zero.
  3. Ranking: how "strong" is measured, for example 6-month return, or return adjusted for how much the price swings.
  4. Portfolio rules: how many to hold, how often to rebalance, and when a holding is sold.
  5. Protection: what to do when the whole market turns down, for example move to cash below the 200-day average.

Writing these down as rules, before looking at results, is what separates a strategy from a hunch.

Why "risk-adjusted" momentum

Two stocks can both be up 40% in six months. One got there smoothly; the other jumped around wildly. Many investors prefer the smooth one, so a common ranking divides the return by its volatility. In MomentumScore this is the risk-adjusted momentum factor.

Where momentum goes wrong

  • Sharp reversals. When markets turn quickly, yesterday's leaders can fall hardest.
  • Costs. Frequent rebalancing means brokerage, taxes and slippage. They add up.
  • Overfitting. Tuning rules until a backtest looks perfect usually makes them worse in the future.
A backtest shows how rules would have behaved. It is a way to test an idea, not a forecast.

How to try it

In MomentumScore you describe the kind of rise you want (a fast rocket, a steady climber or a long marathon), pick a universe and test the rules on years of daily NSE data. The robustness check then tells you whether the result depended on lucky dates.

Try it on real data
Build a rule-based strategy and backtest it on years of NSE data. No formulas, no card.
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