$6.900
+0.539 (+7.81%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
GTN.A 相似图表分析预测
Alphio's GTN.A stock price prediction model matches the current Gray Media Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $6.90 (-0.04%). The 1-week path is $6.81 (-1.32%). 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 Gray Media Inc 股票吗?
Gray Television, Inc. Class A (GTN.A) appears to be a good buy right now due to its recent positive momentum, with a 5-day price change of +14.91% and a current price of $5.78, which is significantly below the analyst price target of $7. The stock's forward P/E ratio is notably low at 2.83, indicating potential undervaluation. However, the main risk is its high debt-to-equity ratio of 212.90%, which could impact financial stability.
GTN.A 股价于 Wednesday 收于 $6.90,此前上涨 +7.81%
Gray Media Inc (GTN.A) last closed at $6.9, gaining +7.81%. These facts feed the 1-day and 1-week GTN.A price prediction above.
预测驱动因素
Gray Media Inc(GTN.A)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
Bearish
SMA 20
Bullish
SMA 200
Bullish
相似图表形态
近期走势与 GTN.A 最接近的股票,按相似度排序。
GTN.A 季节性分析
Historically the probability of a positive October return for GTN.A is 37.70%. January offers the highest probability of a positive month at 68.85%, while April is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
GTN.A 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Oct 2026 | $8.64 | $8.97 | $8.98 | +30.04% |
| Nov 2026 | $7.54 | $9.93 | $11.63 | +43.92% |
| Dec 2026 | $9.28 | $9.63 | $11.29 | +39.50% |
2026 年,Gray Media Inc(GTN.A)预计区间为 $7.54 至 $11.63。
Gray Media Inc 2026 年月度预测
2026 年 Oct,Gray Media Inc 预计均价 $8.97,最低 $8.64,最高 $8.98。
2026 年 Nov,Gray Media Inc 预计均价 $9.93,最低 $7.54,最高 $11.63。
2026 年 Dec,Gray Media Inc 预计均价 $9.63,最低 $9.28,最高 $11.29。
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。