$1.000
-0.129 (-12.92%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
NTZ 相似图表分析预测
Alphio's NTZ stock price prediction model matches the current Natuzzi SpA tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.06 (+5.57%). The 1-week path is $1.03 (+3.26%). 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 Natuzzi SpA 股票吗？
Natuzzi SpA is not a good buy right now due to its significant financial struggles, including a current price of $1.00, a 5-day change of -18.70%, and a forward P/E ratio of 41.84, indicating high valuation despite poor earnings. The main risk is its declining gross margin, which fell to 30.20% in Q4 2025 from 38.05% in Q4 2024, suggesting ongoing profitability challenges.
NTZ 股价于 Tuesday 收于 $1.00，此前下跌 -12.92%
Natuzzi SpA (NTZ) last closed at $1, losing -12.92%. These facts feed the 1-day and 1-week NTZ price prediction above.
预测驱动因素
Natuzzi SpA（NTZ）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
Bearish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bearish
相似图表形态
近期走势与 NTZ 最接近的股票，按相似度排序。
NTZ 季节性分析
Historically the probability of a positive September return for NTZ is 0.00%. February offers the highest probability of a positive month at 65.52%, while June is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
NTZ 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Sep 2026 | $2.97 | $3.32 | $3.65 | +232.06% |
| Oct 2026 | $2.68 | $3.08 | $3.25 | +208.20% |
| Nov 2026 | $2.47 | $2.60 | $2.68 | +160.24% |
| Dec 2026 | $2.43 | $2.58 | $3.06 | +158.44% |
2026 年，Natuzzi SpA（NTZ）预计区间为 $2.43 至 $3.65。
Natuzzi SpA 2026 年月度预测
2026 年 Sep，Natuzzi SpA 预计均价 $3.32，最低 $2.97，最高 $3.65。
2026 年 Oct，Natuzzi SpA 预计均价 $3.08，最低 $2.68，最高 $3.25。
2026 年 Nov，Natuzzi SpA 预计均价 $2.60，最低 $2.47，最高 $2.68。
2026 年 Dec，Natuzzi SpA 预计均价 $2.58，最低 $2.43，最高 $3.06。
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。