"Just wait for a crash, then buy." It sounds like the smartest plan in investing. You avoid the expensive highs, you pick up bargains, and you feel in control. The problem is that almost nobody checks what waiting…
"Just wait for a crash, then buy." It sounds like the smartest plan in investing. You avoid the expensive highs, you pick up bargains, and you feel in control. The problem is that almost nobody checks what waiting actually costs. So I built an algorithm to test the ultimate "Wait for the Dip" strategy on real Indian market data, and compared it with the plain monthly SIP that most people find too boring to take seriously.
What you'll learn
- How the 10% "buy the dip" rule was tested over the last 5 years
- Why the Nifty 50 punishes dip-waiters with "cash drag"
- Why even a cyclical blue chip like Reliance deploys far less capital than a SIP
- When waiting for a crash can work, and why it rarely does for retail investors
The setup: the ultimate "wait for the dip" test
To give the strategy its best shot, the rules were made as disciplined as possible. There is no emotion, no panic and no second-guessing, just a fixed rule applied by an algorithm over the last five years:
- Trigger: invest ₹10,000 only when the asset falls 10% or more from its all-time high.
- Otherwise: the cash sits idle in the bank, earning nothing.
- Benchmark: a standard SIP that invests ₹10,000 every single month, no questions asked.
If buying dips is truly superior, this is the setup where it should shine. Let's see what happened.
Result 1: the index trap (Nifty 50)
The Nifty 50 is a basket of India's largest companies, and over the last five years it has spent a large share of its time at or near all-time highs. That one fact breaks the dip strategy.
A 10% fall from the peak is a relatively rare event for a diversified index. For long stretches the trigger simply never fired, so the algorithm kept waiting while the index kept climbing.
Cash drag: the cost you never see on a statement
Cash drag is the lost return from money that sits uninvested while the market moves without you. You never see a red number on your screen, so it feels safe. But it shows up in two ways:
- Inflation erosion: idle cash earning nothing loses purchasing power every year.
- Missed compounding: the multi-year bull run happened without you, and the gains you skipped can't be recovered by buying later at a higher price.
The index didn't need to crash for the SIP investor to win. It only needed to keep going up, which is exactly when the dip-waiter is sitting in cash.
Result 2: the blue-chip nuance (Reliance Industries)
A single large company behaves differently from an index. Reliance Industries is a blue chip, but it is also cyclical: its share price moves with oil and gas margins, retail and telecom sentiment, and big capital-spending cycles. That means sharper pullbacks, so the 10% rule triggers more often than it did on the Nifty 50.
So does the dip strategy finally win here? Not on the measure that matters for wealth:
- The strategy bought on pullbacks, but it still deployed far less total capital than a monthly SIP, which invests every month without fail.
- Less money in the market means less money compounding. A good entry price on a small amount can't beat a decent price on a much larger amount.
- Between triggers, the uninvested balance was dead weight, the same cash drag as before just in smaller doses.
The lesson is simple: lower capital deployed means lower absolute wealth created, even when your average buying price looks clever.
Side by side: dip strategy vs SIP
| Factor | Wait for the dip (10% rule) | Monthly SIP |
|---|---|---|
| When you invest | Only after a 10% fall from the peak | Every month |
| Idle cash | Large, for long stretches | None |
| Capital deployed | Far lower | Full, steady amount |
| Decision burden | Constant: "is this the dip?" | One-time setup, then automatic |
| Main risk | Waiting while the market runs away | Short-term paper losses in a fall |
Why waiting is a mathematical trap
The trap is built from three things that work against the dip-waiter at the same time:
- Time in the market beats timing the market. Markets rise far more often than they crash, so being out of the market is the more expensive mistake over long horizons.
- You must be right twice. You need to buy near the dip and have the nerve to buy when headlines are screaming that it will fall further. Most people fail the second part.
- Dips don't wait for you. A 10% fall can arrive, recover and be gone before you've decided whether it's "deep enough" to act.
An SIP removes all three problems. It buys more units when prices are low and fewer when they are high, automatically, without asking you to predict anything. That is the whole idea behind rupee cost averaging.
The verdict
Waiting for a crash is mathematically inefficient for wealth creation. It can work only if two things are true at once: you hold a massive pile of idle cash that you're happy to leave unproductive, and you perfectly time the recovery when you deploy it. Miss either one and the strategy trails a simple SIP.
For 99% of retail investors, who earn a salary, invest monthly and don't have a giant cash hoard, the answer is clear: systematic investing beats timing the market. Automate the habit, stay invested, and let compounding do the heavy lifting.
Frequently asked questions
Is buying the dip always a bad idea?
No. If you already have a SIP running and extra cash, adding a bit more during a sharp fall can help. The trap is making the dip your only trigger and leaving your money idle while you wait.
Why use a 10% fall as the trigger?
It's a common rule of thumb for a market "correction", and it's strict enough to make the test fair. A looser trigger would buy more often and look more like a SIP, which would defeat the purpose of the comparison.
Does this guarantee a SIP always wins?
No. These results describe how the rules behaved over one five-year period. Different periods, assets and rules can produce different outcomes. The broader point, that idle cash has a real cost, holds up well.
See the proof, not just the theory
Watch the full visual breakdown and data proof on my YouTube channel: KunalBuildsAi
Disclaimer: WelthWest is an analytics and education platform, not a SEBI-registered investment adviser or broker. Backtest results are simulated, based on historical data, and are not indicative of future returns. This article is for educational purposes only and is not investment advice.