$68.070
+0.293 (+0.43%)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 $67.28 (-1.16%). The 1-week path is $64.60 (-5.10%). 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 a good buy right now due to its current price of $67.78, which is below the analyst price target of $82, indicating a potential upside of 21%. Additionally, the company has shown a strong 20.88% increase in its stock price over the past year, which reflects solid long-term growth. The main risk is the forward P/E ratio of 21.097, which suggests that the stock may be overvalued if earnings do not meet expectations in the upcoming quarters.
NYT stock price ended at $68.07 on Monday, after rising +0.43%
New York Times Co (NYT) last closed at $68.07, gaining +0.43%. 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 October return for NYT is 76.67%. November 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.