$68.690
-1.202 (-1.75%)At close
Price Predictions
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HHH Prediction & Forecast by Similar Chart Analysis
Alphio's HHH stock price prediction model matches the current Howard Hughes Holdings Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $70.02 (+1.93%). The 1-week path is $68.59 (-0.14%). 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 Howard Hughes Holdings Inc Stock?
Howard Hughes Holdings Inc is currently a hold. The stock is priced at $68.69, which is below the average analyst price target of $81. The RSI is at 38.55, indicating the stock is nearing oversold territory, which could present a buying opportunity if momentum shifts. However, the forward P/E ratio is extremely high at 1250, suggesting that the stock may be overvalued based on future earnings expectations. The main risk is the recent downgrade from Piper Sandler, which lowered its price target from $100 to $83, reflecting concerns about the company's future performance.
HHH stock price ended at $68.69 on Friday, after losing -1.75%
Howard Hughes Holdings Inc (HHH) last closed at $68.69, losing -1.75%. These facts feed the 1-day and 1-week HHH price prediction above.
Forecast Drivers
Howard Hughes Holdings Inc (HHH) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bearish
Similar Chart Patterns
Stocks whose recent price path most closely matches HHH, ranked by similarity.
Seasonality analysis for HHH
Historically the probability of a positive October return for HHH is 38.98%. November offers the highest probability of a positive month at 84.62%, 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.