New York Times Co

New York Times Co(NYT)价格预测

$67.730

+0.461 (+0.68%)收盘时

价格预测

1-Day Price Prediction
-0.59%
1-Week Prediction
-0.45%
1-Month Prediction
2026 Prediction
2030 Prediction

在 App 中打开以解锁更长周期的预测。

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NYT 相似图表分析预测

Alphio's NYT stock price prediction model matches the current New York Times Co tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $67.33 (-0.59%). The 1-week path is $67.43 (-0.45%). 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 New York Times Co 股票吗?

The New York Times Co is currently priced at $68.16, which is above the average analyst price target of $85 but below the highest target of $92. The RSI is at 63.027, indicating the stock is nearing overbought territory, while the forward P/E ratio of 24.33 suggests it is relatively expensive compared to its earnings potential. The main risk is the recent downgrades from analysts, which could pressure the stock further if sentiment shifts negatively.

NYT 股价于 Tuesday 收于 $67.73,此前上涨 +0.68%

New York Times Co (NYT) last closed at $67.73, gaining +0.68%. These facts feed the 1-day and 1-week NYT price prediction above.

分析师一致预期

New York Times Co(NYT):买入 0、持有 4、卖出 1。展望:Sell。

Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.

Strong sellSellNeutralBuyStrong buy
Neutral
Sell
1
Buy
0

预测驱动因素

New York Times Co(NYT)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

Negative

Bearish

Seasonality

Positive

Bullish

SMA 20

Positive

Bullish

SMA 200

Negative

Bearish

相似图表形态

近期走势与 NYT 最接近的股票,按相似度排序。

NYT 季节性分析

Historically the probability of a positive September return for NYT is 97.62%. October offers the highest probability of a positive month at 100.00%, while April is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.

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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。

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