$1.400
-0.024 (-1.75%)At close
Price Predictions
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IPHA Prediction & Forecast by Similar Chart Analysis
Alphio's IPHA stock price prediction model matches the current Innate Pharma SA tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.43 (+2.35%). The 1-week path is $1.41 (+0.72%). 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 Innate Pharma SA Stock?
Currently, Innate Pharma SA (IPHA) is not a strong buy. The stock is trading at $1.40, significantly below its 52-week high of $2.71, indicating a potential for recovery but also substantial risk. The RSI is at 30.25, suggesting it is oversold, which could indicate a buying opportunity if the fundamentals improve. However, the company reported a gross margin of -889.87% in Q1 2026, reflecting severe financial distress, and a net income loss of €27.6 million, which raises concerns about its sustainability. The main risk is the upcoming earnings report on November 5, 2026, which could further impact the stock's performance depending on the results.
IPHA stock price ended at $1.40 on Thursday, after losing -1.75%
Innate Pharma SA (IPHA) last closed at $1.4, losing -1.75%. These facts feed the 1-day and 1-week IPHA price prediction above.
Forecast Drivers
Innate Pharma SA (IPHA) 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 IPHA, ranked by similarity.
Seasonality analysis for IPHA
Historically the probability of a positive November return for IPHA is 13.95%. May offers the highest probability of a positive month at 60.32%, while November 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.