$10.330
+0.010 (+0.10%)At close
Price Predictions
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QUMS Prediction & Forecast by Similar Chart Analysis
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 $10.21 (-1.15%). The 1-week path is $10.07 (-2.47%). 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 Quantumsphere Acquisition Corp Stock?
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 stock price ended at $10.33 on Friday, after rising +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.
Forecast Drivers
Quantumsphere Acquisition Corp (QUMS) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bullish
SMA 200
Bullish
Similar Chart Patterns
Stocks whose recent price path most closely matches QUMS, ranked by similarity.
Seasonality analysis for QUMS
Historically the probability of a positive August return for QUMS is 100.00%. February offers the highest probability of a positive month at 100.00%, while September is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.