Quantumsphere Acquisition Corp

Quantumsphere Acquisition Corp(QUMS)價格預測

$10.330

+0.010 (+0.10%)收盤時

價格預測

1-Day Price Prediction
+0.48%
1-Week Prediction
+0.94%
1-Month Prediction
2026 Prediction
2030 Prediction

在 App 中開啟以解鎖更長週期的預測。

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QUMS 相似圖表分析預測

Alphio's QUMS stock price prediction model matches the current Quantumsphere Acquisition Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $10.38 (+0.48%). The 1-week path is $10.43 (+0.94%). 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.

該買進 Quantumsphere Acquisition Corp 股票嗎?

Given the current price of QUMS at 10.33, the RSI is at 70.306, indicating that the stock is overbought. While the stock has shown a year-to-date change of +3.09%, the recent financial performance shows significant volatility with a net income of 521600.00 USD in Q3 2026, followed by 562384.00 USD in Q4 2026. However, the forward P/E ratio is 0, suggesting uncertainty in future earnings. The main risk is the high debt to equity ratio of 2226.68% from Q1 2025, which raises concerns about financial stability. Therefore, it is prudent to hold rather than buy at this time.

QUMS 股價於 Tuesday 收在 $10.33,此前上漲 +0.10%

Quantumsphere Acquisition Corp (QUMS) last closed at $10.33, gaining +0.10%. These facts feed the 1-day and 1-week QUMS price prediction above.

預測驅動因素

Quantumsphere Acquisition Corp(QUMS)的預測驅動因素綜合了相似的圖表形態、季節性與移動平均線。

Similar patterns

Positive

Bullish

Seasonality

Positive

Bullish

SMA 20

Positive

Bullish

SMA 200

Positive

Bullish

相似圖表形態

近期走勢與 QUMS 最接近的股票,依相似度排序。

QUMS 季節性分析

Historically the probability of a positive September return for QUMS is 50.00%. February offers the highest probability of a positive month at 100.00%, while January 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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本頁僅供研究參考,不構成投資建議。模型可能出錯。過往表現不代表未來結果。

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