ARC Group Acquisition I Corp

ARC Group Acquisition I Corp (ARCL) Price Prediction & Forecast

$9.970

-0.001 (-0.01%)At close

Price Predictions

1-Day Price Prediction
+1.08%
1-Week Prediction
-1.13%
1-Month Prediction
2026 Prediction
2030 Prediction

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ARCL Prediction & Forecast by Similar Chart Analysis

Alphio's ARCL stock price prediction model matches the current ARC Group Acquisition I Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $10.08 (+1.08%). The 1-week path is $9.86 (-1.13%). Longer windows use the same pattern set plus seasonality; the 1-month and multi-year forecasts sit behind unlock because they include precise min / avg / max bands.

Should I Buy ARC Group Acquisition I Corp Stock?

Currently, Arc Group Acquisition I Corp. (ARCL) is not a strong buy due to its recent financial performance and market conditions. The stock closed at 9.97, with a 5-day change of -0.50% and a year-to-date change of only +0.40%. Although there was a positive net income of 625,846 in Q2 2026, the previous quarters showed significant losses, including a net income of -27,000 in Q1 2026. The RSI is at 50.94, indicating a neutral momentum, while the projected trajectory suggests a potential increase of +1100.07%, which is speculative. The main risk is the total debt of 282,357, which could impact future performance.

ARCL stock price ended at $9.97 on Friday, after losing -0.01%

ARC Group Acquisition I Corp (ARCL) last closed at $9.97, losing -0.01%. These facts feed the 1-day and 1-week ARCL price prediction above.

Forecast Drivers

ARC Group Acquisition I Corp (ARCL) forecast drivers combine similar chart patterns, seasonality, and moving averages.

Similar patterns

Positive

Bullish

Seasonality

Positive

Bullish

SMA 20

Positive

Bullish

SMA 200

Positive

Bullish

Similar Chart Patterns

Stocks whose recent price path most closely matches ARCL, ranked by similarity.

Seasonality analysis for ARCL

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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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