CLEAN MAX ENVIRO EN SOL L (CLEANMAX) Price Target & Share Price Forecast

Not a guess. A distribution.

1-Year Price Target (median)₹8,201+448.9%

As of , the CLEAN MAX ENVIRO EN SOL L (CLEANMAX) 1-year price target is ₹8,201+448.9% from the current price of ₹1,494. The 80% confidence range is ₹4,024₹16,397, with a 99.9% probability of finishing above today's price.

CLEANMAX 2027
₹8,201
+448.9%
CLEANMAX 2029
₹2,43,792
+16218.1%
CLEANMAX 2031
₹73,84,115
+494151.3%

Probability-weighted price target and forecast for CLEAN MAX ENVIRO EN SOL L (CLEANMAX) across 2027, 2029, and 2031. Built from a 10,000-trial Monte Carlo simulation on 0.3 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 0.3 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)
448.9%
80% range₹4,024–₹16,397
P(price ↑)100%
P(price 2×)97%
3-Year Forecast
2029
₹0
Median (P50)
16218.1%
80% range₹74,267–₹8,23,126
P(price ↑)100%
P(price 2×)100%
5-Year Forecast
2031
₹0
Median (P50)
494151.3%
80% range₹15,69,251–₹3,55,54,545
P(price ↑)100%
P(price 2×)100%

CLEANMAX price probability fan

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

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

Probability of key outcomes

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

We ran 10,000 simulated price paths for CLEAN MAX ENVIRO EN SOL L (CLEANMAX) using Geometric Brownian Motion (GBM) — the same probability framework used in institutional risk-management systems. The simulation uses CLEANMAX's actual 0.3-year historical volatility (54.4%) and mean log return (185.1%/year), so it reflects real market behaviour, not assumptions.

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

CLEANMAX price target & forecast — probability table

HorizonPessimistic (P10)Median (P50)Optimistic (P90)P(↑ from today)P(2× return)
1 year (2027)₹4,024₹8,201₹16,39799.9%96.8%
3 years (2029)₹74,267₹2,43,792₹8,23,126100.0%100.0%
5 years (2031)₹15,69,251₹73,84,115₹3,55,54,545100.0%100.0%

Generated 23/6/2026, 2:48:11 am. Refreshed every 6 hours from 0.3y of NSE history.

CLEANMAX price target & forecast — FAQs

What is the CLEAN MAX ENVIRO EN SOL L (CLEANMAX) price target / share price forecast for 2031?

Based on a 10,000-trial Monte Carlo simulation using historical volatility, CLEANMAX's 5-year median (P50) forecast is ₹73,84,115. The 80% confidence band is ₹15,69,251₹3,55,54,545. The probability of the price being above today's ₹1,494 in 5 years is 100.0%.

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 CLEANMAX double in 5 years?

The probability of CLEANMAX reaching 2× the current price (₹2,988) within 5 years is 100.0%, 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 0.3 years of historical data.

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