360ONEAMC - SILVER360 (SILVER360) Price Target & Share Price Forecast

Not a guess. A distribution.

1-Year Price Target (median)₹388+75.3%

As of , the 360ONEAMC - SILVER360 (SILVER360) 1-year price target is ₹388+75.3% from the current price of ₹221. The 80% confidence range is ₹190₹778, with a 84.6% probability of finishing above today's price.

SILVER360 2027
₹388
+75.3%
SILVER360 2029
₹1,180
+433.0%
SILVER360 2031
₹3,612
+1531.6%

Probability-weighted price target and forecast for 360ONEAMC - SILVER360 (SILVER360) across 2027, 2029, and 2031. Built from a 10,000-trial Monte Carlo simulation on 1.2 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 1.2 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)
75.3%
80% range₹190–₹778
P(price ↑)85%
P(price 2×)41%
3-Year Forecast
2029
₹0
Median (P50)
433.0%
80% range₹357–₹4,058
P(price ↑)96%
P(price 2×)85%
5-Year Forecast
2031
₹0
Median (P50)
1531.6%
80% range₹763–₹17,606
P(price ↑)99%
P(price 2×)96%

SILVER360 price probability fan

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

Probability Fan
SILVER360 simulated paths · 60 months · 10,000 trials
P10–P90 (80%)P25–P75 (50%)Median (P50)

Probability of key outcomes

What are the odds SILVER360 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 SILVER360 price target & forecast are calculated

We ran 10,000 simulated price paths for 360ONEAMC - SILVER360 (SILVER360) using Geometric Brownian Motion (GBM) — the same probability framework used in institutional risk-management systems. The simulation uses SILVER360's actual 1.2-year historical volatility (55.3%) and mean log return (71.9%/year), so it reflects real market behaviour, not assumptions.

Each of the 10,000 trials projects a unique SILVER360 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 SILVER360 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 SILVER360 could realistically land — so you can plan for the spread of outcomes, not bet on a wish.

SILVER360 price target & forecast — probability table

HorizonPessimistic (P10)Median (P50)Optimistic (P90)P(↑ from today)P(2× return)
1 year (2027)₹190₹388₹77884.6%40.6%
3 years (2029)₹357₹1,180₹4,05896.3%85.2%
5 years (2031)₹763₹3,612₹17,60698.9%96.0%

Generated 23/6/2026, 7:14:56 am. Refreshed every 6 hours from 1.2y of NSE history.

SILVER360 price target & forecast — FAQs

What is the 360ONEAMC - SILVER360 (SILVER360) price target / share price forecast for 2031?

Based on a 10,000-trial Monte Carlo simulation using historical volatility, SILVER360's 5-year median (P50) forecast is ₹3,612. The 80% confidence band is ₹763₹17,606. The probability of the price being above today's ₹221 in 5 years is 98.9%.

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 SILVER360 double in 5 years?

The probability of SILVER360 reaching 2× the current price (₹443) within 5 years is 96.0%, 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 1.2 years of historical data.

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