$67.730
+0.461 (+0.68%)At close
Price Predictions
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NYT Prediction & Forecast by Similar Chart Analysis
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.
Should I Buy New York Times Co Stock?
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 stock price ended at $67.73 on Tuesday, after rising +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.
Analyst Consensus
New York Times Co (NYT): 0 buy, 4 hold, 1 sell. Outlook: Sell.
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
Forecast Drivers
New York Times Co (NYT) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Similar patterns
Bearish
Seasonality
Bullish
SMA 20
Bullish
SMA 200
Bearish
Similar Chart Patterns
Stocks whose recent price path most closely matches NYT, ranked by similarity.
Seasonality analysis for NYT
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.
This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.