NIFTY 50
| EMA 50/200 | SMA 50/200 | |
|---|---|---|
| Fast | 23,773.62 | 23,749.80 |
| Slow | 24,484.54 | 24,915.08 |
| Gap | -290 bp | -4.68% |
| State | FAST<SLOW | ✗ Death |
| Last cross | 2026-03-16 00:00 IST | 2026-03-17 |
EMA vs SMA — side by side on NIFTY & BANKNIFTY.
The 50/200 crossover is the most-quoted moving-average signal in finance. But which version — EMA or SMA — actually catches turns first, prints fewer false signals, or pays better forward returns on Indian indices? The numbers below answer that with 5 years of daily NIFTY and BANK NIFTY data.
Simple Moving Average
Every bar in the window gets equal weight. The 50-day SMA is the average of the last 50 daily closes — nothing more.
SMAt = (Pt + Pt−1 + … + Pt−L+1) / L
Smooth, slow to react, drops the oldest bar abruptly when it leaves the window.
Exponential Moving Average
Recent bars get more weight; weights decay exponentially backwards. The 50-day EMA puts ~4% on today's close and tapers — but never fully forgets older bars.
α = 2/(L+1)
EMAt = α · Pt + (1 − α) · EMAt−1
EMAt = α · Pt + (1 − α) · EMAt−1
Reacts faster, no abrupt window-edge drops, but more sensitive to short-term noise.
Where each pair is right now — daily
Both indices, 50/200 EMA vs 50/200 SMA, live values + cross state.
BANK NIFTY
| EMA 50/200 | SMA 50/200 | |
|---|---|---|
| Fast | 55,143.40 | 54,842.47 |
| Slow | 56,121.08 | 56,979.40 |
| Gap | -174 bp | -3.75% |
| State | FAST<SLOW | ✗ Death |
| Last cross | 2026-04-01 00:00 IST | 2026-04-16 |
5-year crossover comparison — daily 50/200
For each instrument we count every 50/200 EMA crossover and every 50/200 SMA crossover over the same 5-year window, measure the average lag between matched flips, and report the forward-return profile of each.
NIFTY 50
2021-05-02 → 2026-06-11 · 1264 days
EMA crosses (total)
9
4 bull · 5 bear
last: 2026-03-15 Bearish
SMA crosses (total)
8
4 bull · 4 bear
last: 2026-03-16 Bearish
Average lag (SMA flip – EMA flip)
Bullish
+33 days
n = 3
Bearish
-10 days
n = 4
Positive number = SMA flips that many trading days AFTER the matched EMA flip.
| N | Mean fwd 1d | Mean fwd 30d | Win 30d % | |
|---|---|---|---|---|
| EMA · Bullish | 4 | +0.485% | +1.87% | 75.0% |
| EMA · Bearish | 5 | +0.163% | +3.64% | 80.0% |
| SMA · Bullish | 4 | +0.314% | +2.42% | 75.0% |
| SMA · Bearish | 4 | +0.187% | -0.60% | 50.0% |
BANK NIFTY
2021-05-02 → 2026-06-11 · 1263 days
EMA crosses (total)
7
3 bull · 4 bear
last: 2026-03-31 Bearish
SMA crosses (total)
6
3 bull · 3 bear
last: 2026-04-15 Bearish
Average lag (SMA flip – EMA flip)
Bullish
+22 days
n = 2
Bearish
-10 days
n = 3
Positive number = SMA flips that many trading days AFTER the matched EMA flip.
| N | Mean fwd 1d | Mean fwd 30d | Win 30d % | |
|---|---|---|---|---|
| EMA · Bullish | 3 | +0.559% | +5.95% | 100.0% |
| EMA · Bearish | 4 | +0.636% | +3.07% | 75.0% |
| SMA · Bullish | 3 | -1.042% | -0.73% | 33.3% |
| SMA · Bearish | 3 | +1.118% | -3.41% | 0.0% |
Which one should you actually use?
Choose EMA when
- You're an active trader and want to flip with the market faster.
- You're using shorter timeframes (1h, 15m) where lag costs more.
- You don't mind a few extra whipsaws in exchange for earlier signals.
- You're combining the cross with a regime filter (which is what we do — see methodology).
Choose SMA when
- You're a long-term trend-follower who exits only on the canonical Golden / Death cross.
- You write or read financial-news commentary that quotes the textbook definition.
- You're optimising for the smallest number of total signals (less noise per year).
- You prefer a steadier line on charts at the expense of late entries.