$13.000
-0.020 (-0.15%)At close
Price Predictions
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Should I Buy MaxsMaking Inc Stock?
MaxsMaking Inc (MAMK) is not a good buy right now due to significant risks associated with potential delisting from Nasdaq and a very high RSI of 82.377, indicating overbought conditions. The company is facing a delisting determination due to insufficient liquidity, which could severely impact its market position and investor confidence. Additionally, the forward P/E ratio is currently 0, reflecting uncertainty in future earnings, and the stock has seen a staggering 501.85% increase over the past year, which may not be sustainable given the current risks.
MAMK stock price ended at $13.00 on Friday, after losing -0.15%
MaxsMaking Inc (MAMK) last closed at $13, losing -0.15%. These facts feed the 1-day and 1-week MAMK price prediction above.
Forecast Drivers
MaxsMaking Inc (MAMK) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Seasonality
Bearish
SMA 20
Bullish
SMA 200
Bullish
Seasonality analysis for MAMK
10-year price projections for MAMK
| Month | Min Price | Avg Price | Max Price | Potential ROI |
|---|---|---|---|---|
| Aug 2026 | $2.23 | $2.26 | $2.44 | -82.63% |
| Sep 2026 | $1.87 | $2.29 | $2.44 | -82.41% |
| Oct 2026 | $2.15 | $2.45 | $2.66 | -81.16% |
| Nov 2026 | $2.54 | $2.68 | $2.91 | -79.41% |
| Dec 2026 | $2.09 | $2.26 | $2.43 | -82.63% |
In 2026, MaxsMaking Inc (MAMK) is projected to range from $1.87 to $2.91.
MaxsMaking Inc 2026 monthly forecast
In Aug 2026, MaxsMaking Inc is projected to average $2.26, with a low of $2.23 and high of $2.44.
In Sep 2026, MaxsMaking Inc is projected to average $2.29, with a low of $1.87 and high of $2.44.
In Oct 2026, MaxsMaking Inc is projected to average $2.45, with a low of $2.15 and high of $2.66.
In Nov 2026, MaxsMaking Inc is projected to average $2.68, with a low of $2.54 and high of $2.91.
In Dec 2026, MaxsMaking Inc is projected to average $2.26, with a low of $2.09 and high of $2.43.
This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.