$15.900
-0.040 (-0.25%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
PSNL 相似圖表分析預測
Alphio's PSNL stock price prediction model matches the current Personalis Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $15.53 (-1.82%). The 1-week path is $14.67 (-7.30%). 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 Personalis Inc 股票嗎?
Currently, Personalis Inc (PSNL) is not a strong buy due to its low RSI of 24.948, indicating oversold conditions, and a recent price of $15.65, which is below the analyst price target of $16.25. The stock has shown a year-to-date change of +99.36%, but the recent 5-day change is -2.19%, suggesting short-term weakness. The main risk is the negative net income of -30,032,000 USD reported for Q1 2026, which raises concerns about profitability.
PSNL 股價於 Wednesday 收在 $15.90,此前下跌 -0.25%
Personalis Inc (PSNL) last closed at $15.82, losing -0.50%. These facts feed the 1-day and 1-week PSNL price prediction above.
預測驅動因素
Personalis Inc(PSNL)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
Bullish
SMA 20
Bearish
SMA 200
Bullish
相似圖表形態
近期走勢與 PSNL 最接近的股票,依相似度排序。
PSNL 季節性分析
Historically the probability of a positive October return for PSNL is 100.00%. October offers the highest probability of a positive month at 100.00%, while April is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
PSNL 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Oct 2026 | $4.65 | $4.73 | $4.88 | -70.08% |
| Nov 2026 | $3.92 | $4.52 | $5.02 | -71.41% |
| Dec 2026 | $4.83 | $4.87 | $5.07 | -69.20% |
2026 年,Personalis Inc(PSNL)預計區間為 $3.92 至 $5.07。
Personalis Inc 2026 年月度預測
2026 年 Oct,Personalis Inc 預計均價 $4.73,最低 $4.65,最高 $4.88。
2026 年 Nov,Personalis Inc 預計均價 $4.52,最低 $3.92,最高 $5.02。
2026 年 Dec,Personalis Inc 預計均價 $4.87,最低 $4.83,最高 $5.07。
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。