$15.100
+0.453 (+3.00%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
ALKT 相似图表分析预测
Alphio's ALKT stock price prediction model matches the current Alkami Technology, Inc. tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $15.76 (-1.19%). The 1-week path is $15.56 (-2.46%). 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.
该买入 Alkami Technology, Inc. 股票吗?
Alkami Technology Inc is not a good buy right now due to its current price of $13.73 being below analyst targets, with Barclays and JPMorgan setting targets at $15 and $14 respectively. Additionally, the RSI is at 34.219, indicating that the stock is oversold, but the overall trend is negative with a year-to-date change of -39.46%.
ALKT 股价于 Wednesday 收于 $15.10,此前上涨 +3.00%
Alkami Technology, Inc. (ALKT) last closed at $15.95, gaining +5.63%. These facts feed the 1-day and 1-week ALKT price prediction above.
预测驱动因素
Alkami Technology, Inc.(ALKT)的预测驱动因素综合了相似的图表形态、季节性与移动平均线。
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bullish
SMA 200
Bearish
相似图表形态
近期走势与 ALKT 最接近的股票,按相似度排序。
ALKT 季节性分析
Historically the probability of a positive October return for ALKT is 37.10%. November offers the highest probability of a positive month at 51.28%, while March is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
ALKT 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Oct 2026 | $23.41 | $31.88 | $35.81 | +99.89% |
| Nov 2026 | $31.07 | $38.22 | $42.43 | +139.60% |
| Dec 2026 | $29.10 | $35.49 | $44.52 | +122.48% |
2026 年,Alkami Technology, Inc.(ALKT)预计区间为 $23.41 至 $44.52。
Alkami Technology, Inc. 2026 年月度预测
2026 年 Oct,Alkami Technology, Inc. 预计均价 $31.88,最低 $23.41,最高 $35.81。
2026 年 Nov,Alkami Technology, Inc. 预计均价 $38.22,最低 $31.07,最高 $42.43。
2026 年 Dec,Alkami Technology, Inc. 预计均价 $35.49,最低 $29.10,最高 $44.52。
本页仅供研究参考,不构成投资建议。模型可能出错。过往表现不代表未来结果。