Chenghe Acquisition II Co

Chenghe Acquisition II Co (CHEB) Price Prediction & Forecast

$10.550

-0.385 (-3.65%)At close

Price Predictions

1-Month Prediction
2026 Prediction
2030 Prediction

Open in app to unlock longer-horizon forecasts.

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CHEB stock price ended at $10.55 on Thursday, after losing -3.65%

Chenghe Acquisition II Co (CHEB) last closed at $10.55, losing -3.65%. These facts feed the 1-day and 1-week CHEB price prediction above.

Forecast Drivers

Chenghe Acquisition II Co (CHEB) forecast drivers combine similar chart patterns, seasonality, and moving averages.

Seasonality

Negative

Bearish

SMA 20

Positive

Bullish

SMA 200

Positive

Bullish

Seasonality analysis for CHEB

Historically the probability of a positive September return for CHEB is 0.00%. February offers the highest probability of a positive month at 100.00%, while June is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.

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10-year price projections for CHEB

MonthMin PriceAvg PriceMax PricePotential ROI
Sep 2026$8.83$10.15$11.65-3.77%
Oct 2026$9.75$11.27$11.36+6.80%
Nov 2026$10.22$11.77$13.09+11.59%
Dec 2026$8.67$9.49$10.19-10.08%

In 2026, Chenghe Acquisition II Co (CHEB) is projected to range from $8.67 to $13.09.

Chenghe Acquisition II Co 2026 monthly forecast

Sep 2026 CHEB forecast
Potential ROI: -3.77%

In Sep 2026, Chenghe Acquisition II Co is projected to average $10.15, with a low of $8.83 and high of $11.65.

Oct 2026 CHEB forecast
Potential ROI: 6.80%

In Oct 2026, Chenghe Acquisition II Co is projected to average $11.27, with a low of $9.75 and high of $11.36.

Nov 2026 CHEB forecast
Potential ROI: 11.59%

In Nov 2026, Chenghe Acquisition II Co is projected to average $11.77, with a low of $10.22 and high of $13.09.

Dec 2026 CHEB forecast
Potential ROI: -10.08%

In Dec 2026, Chenghe Acquisition II Co is projected to average $9.49, with a low of $8.67 and high of $10.19.

This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.

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