$11.640
+0.172 (+1.48%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
CTVA 相似图表分析预测
Alphio's CTVA stock price prediction model matches the current Corteva Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $11.59 (-0.47%). The 1-week path is $11.69 (+0.40%). 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 Corteva Inc 股票吗?
Corteva Inc is currently not a strong buy. The stock is trading at $12.45, significantly below the analyst price targets of $17 and $19, indicating potential upside. However, the RSI is at a very low 11.02, suggesting oversold conditions, but the recent performance shows a steep decline of 81.63% year-to-date. The main risk is the negative sentiment reflected in the downgrade by UBS, which may limit short-term price recovery.
CTVA 股价于 Friday 收于 $11.64,此前上涨 +1.48%
Corteva Inc (CTVA) last closed at $11.6400003, gaining +1.48%. These facts feed the 1-day and 1-week CTVA price prediction above.
预测驱动因素
Corteva Inc(CTVA)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
Bullish
Seasonality
Bullish
SMA 20
Bearish
SMA 200
Bearish
相似图表形态
近期走势与 CTVA 最接近的股票,按相似度排序。
CTVA 季节性分析
Historically the probability of a positive October return for CTVA is 67.65%. February offers the highest probability of a positive month at 100.00%, while January is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
CTVA 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Oct 2026 | $50.86 | $65.70 | $69.13 | +464.45% |
| Nov 2026 | $68.52 | $80.65 | $87.07 | +592.91% |
| Dec 2026 | $54.24 | $67.79 | $82.20 | +482.39% |
2026 年,Corteva Inc(CTVA)预计区间为 $50.86 至 $87.07。
Corteva Inc 2026 年月度预测
2026 年 Oct,Corteva Inc 预计均价 $65.70,最低 $50.86,最高 $69.13。
2026 年 Nov,Corteva Inc 预计均价 $80.65,最低 $68.52,最高 $87.07。
2026 年 Dec,Corteva Inc 预计均价 $67.79,最低 $54.24,最高 $82.20。
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。