$57.890
-0.058 (-0.10%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
ZD 相似圖表分析預測
Alphio's ZD stock price prediction model matches the current Ziff Davis Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $58.59 (+1.21%). The 1-week path is $58.67 (+1.34%). 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 Ziff Davis Inc 股票嗎?
Ziff Davis Inc is a good buy right now due to its current price of $57.89 being below the average analyst price target of $61.20, which indicates a potential upside of 5.67%. Additionally, the stock has shown strong momentum with a year-to-date change of +70.31% and a recent RSI of 61.41, suggesting it is not overbought yet. However, a risk to consider is the recent net loss of $52.2 million in Q2 2026, which could impact future performance.
ZD 股價於 Friday 收在 $57.89,此前下跌 -0.10%
Ziff Davis Inc (ZD) last closed at $57.89, losing -0.10%. These facts feed the 1-day and 1-week ZD price prediction above.
預測驅動因素
Ziff Davis Inc(ZD)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 ZD 最接近的股票,依相似度排序。
ZD 季節性分析
Historically the probability of a positive October return for ZD is 26.98%. January offers the highest probability of a positive month at 49.18%, while November is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
ZD 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Oct 2026 | $32.74 | $36.07 | $43.76 | -37.69% |
| Nov 2026 | $35.73 | $38.14 | $46.33 | -34.12% |
| Dec 2026 | $32.43 | $32.96 | $38.95 | -43.06% |
2026 年,Ziff Davis Inc(ZD)預計區間為 $32.43 至 $46.33。
Ziff Davis Inc 2026 年月度預測
2026 年 Oct,Ziff Davis Inc 預計均價 $36.07,最低 $32.74,最高 $43.76。
2026 年 Nov,Ziff Davis Inc 預計均價 $38.14,最低 $35.73,最高 $46.33。
2026 年 Dec,Ziff Davis Inc 預計均價 $32.96,最低 $32.43,最高 $38.95。
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。