SBI-ETF Nifty Next 50 (SETFNN50) Price Target & Share Price Forecast

Not a guess. A distribution.

1-Year Price Target (median)₹772-0.2%

As of , the SBI-ETF Nifty Next 50 (SETFNN50) 1-year price target is ₹772-0.2% from the current price of ₹773. The 80% confidence range is ₹616₹972, with a 49.6% probability of finishing above today's price.

SETFNN50 2027
₹772
-0.2%
SETFNN50 2029
₹768
-0.7%
SETFNN50 2031
₹757
-2.1%

Probability-weighted price target and forecast for SBI-ETF Nifty Next 50 (SETFNN50) across 2027, 2029, and 2031. Built from a 10,000-trial Monte Carlo simulation on 2.0 years of NSE historical data — so you see the full range of where the price could realistically land, weighted by likelihood. No analyst opinions. Just statistics.

Spot Price · Today
₹0
Based on 2.0 years of daily NSE data ·0.0% annualised volatility
5-yr median forecast
₹0
P(price ↑ in 5y)
0%
1-Year Forecast
2027
₹0
Median (P50)
0.2%
80% range₹616–₹972
P(price ↑)50%
P(price 2×)0%
3-Year Forecast
2029
₹0
Median (P50)
0.7%
80% range₹520–₹1,129
P(price ↑)49%
P(price 2×)1%
5-Year Forecast
2031
₹0
Median (P50)
2.1%
80% range₹460–₹1,270
P(price ↑)48%
P(price 2×)3%

SETFNN50 price probability fan

Each band shows where 10,000 simulated paths land. The wider the fan, the more uncertainty.

Probability Fan
SETFNN50 simulated paths · 60 months · 10,000 trials
P10–P90 (80%)P25–P75 (50%)Median (P50)

Probability of key outcomes

What are the odds SETFNN50 hits common targets within the simulated horizon?

0%
P(↑ 1Y)
Above today's price in 1 year
0%
P(↑ 5Y)
Above today's price in 5 years
0%
P(2×)
Doubles within 5 years
0%
P(↓)
Falls below today in 5 years

How the SETFNN50 price target & forecast are calculated

We ran 10,000 simulated price paths for SBI-ETF Nifty Next 50 (SETFNN50) using Geometric Brownian Motion (GBM) — the same probability framework used in institutional risk-management systems. The simulation uses SETFNN50's actual 2.0-year historical volatility (17.6%) and mean log return (1.2%/year), so it reflects real market behaviour, not assumptions.

Each of the 10,000 trials projects a unique SETFNN50 share price path day-by-day for 5 years. The percentile bands (P10/P50/P90) show the full distribution of outcomes — your real price target range, not a single guess.

Why this SETFNN50 forecast differs from analyst price targets: Analyst targets are point estimates from subjective valuation models. Monte Carlo price-target forecasts are probability distributions from actual market data. They tell you the range and likelihood of where SETFNN50 could realistically land — so you can plan for the spread of outcomes, not bet on a wish.

SETFNN50 price target & forecast — probability table

HorizonPessimistic (P10)Median (P50)Optimistic (P90)P(↑ from today)P(2× return)
1 year (2027)₹616₹772₹97249.6%0.0%
3 years (2029)₹520₹768₹1,12949.1%0.9%
5 years (2031)₹460₹757₹1,27048.0%3.5%

Generated 22/6/2026, 8:41:08 pm. Refreshed every 6 hours from 2.0y of NSE history.

SETFNN50 price target & forecast — FAQs

What is the SBI-ETF Nifty Next 50 (SETFNN50) price target / share price forecast for 2031?

Based on a 10,000-trial Monte Carlo simulation using historical volatility, SETFNN50's 5-year median (P50) forecast is ₹757. The 80% confidence band is ₹460₹1,270. The probability of the price being above today's ₹773 in 5 years is 48.0%.

How is Monte Carlo different from analyst price targets?

Analyst targets are point estimates based on subjective valuation models. Monte Carlo simulations produce a probability distribution from actual historical volatility — showing the full range of where the price could realistically land, weighted by likelihood. No opinions, just statistics.

Can SETFNN50 double in 5 years?

The probability of SETFNN50 reaching 2× the current price (₹1,546) within 5 years is 3.5%, based on this simulation.

Is this prediction accurate?

No simulation can predict the future — but Monte Carlo gives you a calibrated range of outcomes weighted by historical probability. It accounts for volatility better than any single price target. Use it as a decision-support tool, not a guarantee.

How often is this forecast updated?

Every 6 hours, based on the latest NSE close prices and 2.0 years of historical data.

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