$1.409
-0.128 (-9.10%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
ALZN 相似圖表分析預測
Alphio's ALZN stock price prediction model matches the current Alzamend Neuro Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.39 (-1.26%). The 1-week path is $1.44 (+2.05%). 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 Alzamend Neuro Inc 股票嗎?
Alzamend Neuro Inc is a good buy right now, primarily due to its recent 5-day price increase of 16.45% and the positive sentiment from insider buying, where Milton C. Ault III purchased 108,388 shares at $1.00 each. The stock has regained Nasdaq compliance, indicating improved financial health, with stockholders' equity reported at $5.802 million, surpassing the minimum requirement of $2.5 million. However, the primary risk is the negative earnings trend, with a reported EPS of -0.68, which reflects ongoing losses.
ALZN 股價於 Friday 收在 $1.41,此前下跌 -9.10%
Alzamend Neuro Inc (ALZN) last closed at $1.409, losing -9.10%. These facts feed the 1-day and 1-week ALZN price prediction above.
預測驅動因素
Alzamend Neuro Inc(ALZN)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
Bullish
Seasonality
Bearish
SMA 20
Bullish
SMA 200
Bearish
相似圖表形態
近期走勢與 ALZN 最接近的股票,依相似度排序。
ALZN 季節性分析
Historically the probability of a positive November return for ALZN is 0.00%. January offers the highest probability of a positive month at 52.46%, while April is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
ALZN 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Nov 2026 | $3.01 | $3.46 | $3.54 | +145.44% |
| Dec 2026 | $2.70 | $3.19 | $3.43 | +126.26% |
2026 年,Alzamend Neuro Inc(ALZN)預計區間為 $2.70 至 $3.54。
Alzamend Neuro Inc 2026 年月度預測
2026 年 Nov,Alzamend Neuro Inc 預計均價 $3.46,最低 $3.01,最高 $3.54。
2026 年 Dec,Alzamend Neuro Inc 預計均價 $3.19,最低 $2.70,最高 $3.43。
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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。