$14.130
+0.192 (+1.36%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
PATH 相似圖表分析預測
Alphio's PATH stock price prediction model matches the current UiPath Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $14.20 (+0.50%). The 1-week path is $14.22 (+0.67%). 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 UiPath Inc 股票嗎?
UiPath Inc (PATH) is a good buy right now, trading at $14.13 with a forward P/E of 16.72, indicating potential value compared to its growth prospects. The recent revenue growth of approximately 12.7% year-over-year, reaching nearly $1.6 billion, and a net income of about $282.3 million with a net margin of 17.5% are strong indicators of improving profitability. However, the RSI is at 70.30, suggesting it may be overbought, which is a risk to consider.
PATH 股價於 Friday 收在 $14.13,此前上漲 +1.36%
UiPath Inc (PATH) last closed at $14.13, gaining +1.36%. These facts feed the 1-day and 1-week PATH price prediction above.
預測驅動因素
UiPath Inc(PATH)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
Bullish
相似圖表形態
近期走勢與 PATH 最接近的股票,依相似度排序。
PATH 季節性分析
Historically the probability of a positive October return for PATH is 33.33%. December offers the highest probability of a positive month at 51.16%, while April is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
PATH 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Oct 2026 | $10.85 | $13.21 | $13.96 | -6.49% |
| Nov 2026 | $13.56 | $16.08 | $18.03 | +13.79% |
| Dec 2026 | $13.42 | $14.50 | $15.01 | +2.59% |
2026 年,UiPath Inc(PATH)預計區間為 $10.85 至 $18.03。
UiPath Inc 2026 年月度預測
2026 年 Oct,UiPath Inc 預計均價 $13.21,最低 $10.85,最高 $13.96。
2026 年 Nov,UiPath Inc 預計均價 $16.08,最低 $13.56,最高 $18.03。
2026 年 Dec,UiPath Inc 預計均價 $14.50,最低 $13.42,最高 $15.01。
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。