Acco Group Holdings Ltd

Acco Group Holdings Ltd (ACCL) Price Prediction & Forecast

$2.925

+0.164 (+5.60%)At close

Price Predictions

1-Day Price Prediction
+1.08%
1-Week Prediction
-1.80%
1-Month Prediction
2026 Prediction
2030 Prediction

Open in app to unlock longer-horizon forecasts.

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ACCL Prediction & Forecast by Similar Chart Analysis

Alphio's ACCL stock price prediction model matches the current Acco Group Holdings Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $2.96 (+1.08%). The 1-week path is $2.87 (-1.80%). 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 Acco Group Holdings Ltd Stock?

Acco Group Holdings Ltd (ACCL) appears to be a good buy right now due to its current price of $2.92, which is near its Fibonacci resistance level of $2.965, indicating potential upward momentum. The RSI of 63.289 suggests that the stock is approaching overbought territory, but still has room for growth. Additionally, the stock has shown a significant 20-day change of +31.17%, indicating strong recent performance. However, the main risk is its high P/E ratio of 174.96, which suggests that the stock may be overvalued if earnings do not improve significantly in the near future.

ACCL stock price ended at $2.93 on Friday, after rising +5.60%

Acco Group Holdings Ltd (ACCL) last closed at $2.925, gaining +5.60%. These facts feed the 1-day and 1-week ACCL price prediction above.

Forecast Drivers

Acco Group Holdings Ltd (ACCL) 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 ACCL, ranked by similarity.

Seasonality analysis for ACCL

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Esta página es solo para investigación y no constituye asesoramiento de inversión. Los modelos pueden equivocarse. El rendimiento pasado no garantiza resultados futuros.

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