$18.010
-1.661 (-9.22%)At close
Price Predictions
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CUE Prediction & Forecast by Similar Chart Analysis
Alphio's CUE stock price prediction model matches the current Cue Biopharma Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $18.25 (+1.31%). The 1-week path is $17.89 (-0.69%). 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 Cue Biopharma Inc Stock?
Cue Biopharma Inc is a good buy right now due to its recent positive Phase 2a trial results for CUE-221, which showed a 54% complete hive resolution rate compared to 11% for placebo. Additionally, the stock is currently priced at $19.42, significantly below the analyst target of $83, indicating substantial upside potential. However, the company reported a net loss of $153.07 million in Q2 2026, which poses a risk to its financial stability.
CUE stock price ended at $18.01 on Thursday, after losing -9.22%
Cue Biopharma Inc (CUE) last closed at $18.0100002, losing -9.22%. These facts feed the 1-day and 1-week CUE price prediction above.
Analyst Consensus
Cue Biopharma Inc (CUE): 1 buy, 0 hold, 0 sell. Outlook: Strong Buy.
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
Forecast Drivers
Cue Biopharma Inc (CUE) 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 CUE, ranked by similarity.
Seasonality analysis for CUE
Historically the probability of a positive November return for CUE is 9.30%. January offers the highest probability of a positive month at 73.77%, while December 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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This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.