$90.370
-3.768 (-4.17%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
MNDY 相似圖表分析預測
Alphio's MNDY stock price prediction model matches the current monday.com Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $94.20 (+0.83%). The 1-week path is $95.55 (+2.28%). 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 monday.com Ltd 股票嗎?
Currently, Monday.com Ltd is trading at $90.37, which is close to the average analyst price target of $90. This suggests that the stock is fairly valued at present. The RSI is at 59.634, indicating that the stock is neither overbought nor oversold, which supports a hold position. However, the stock has a year-to-date change of -36.99%, reflecting significant volatility and potential risk.
MNDY 股價於 Friday 收在 $90.37,此前下跌 -4.17%
monday.com Ltd (MNDY) last closed at $93.42, gaining +3.38%. These facts feed the 1-day and 1-week MNDY price prediction above.
預測驅動因素
monday.com Ltd(MNDY)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 MNDY 最接近的股票,依相似度排序。
MNDY 季節性分析
Historically the probability of a positive October return for MNDY is 38.98%. May offers the highest probability of a positive month at 68.25%, while September is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
MNDY 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Oct 2026 | $281.36 | $328.78 | $341.82 | +251.94% |
| Nov 2026 | $339.80 | $354.02 | $383.78 | +278.96% |
| Dec 2026 | $329.28 | $398.68 | $421.23 | +326.76% |
2026 年,monday.com Ltd(MNDY)預計區間為 $281.36 至 $421.23。
monday.com Ltd 2026 年月度預測
2026 年 Oct,monday.com Ltd 預計均價 $328.78,最低 $281.36,最高 $341.82。
2026 年 Nov,monday.com Ltd 預計均價 $354.02,最低 $339.80,最高 $383.78。
2026 年 Dec,monday.com Ltd 預計均價 $398.68,最低 $329.28,最高 $421.23。
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。