InflaRx NV

InflaRx NV(IFRX)價格預測

$1.480

-0.128 (-8.64%)收盤時

價格預測

1-Day Price Prediction
+0.25%
1-Week Prediction
+0.50%
1-Month Prediction
—
2026 Prediction
—
2030 Prediction
—

在 App 中開啟以解鎖更長週期的預測。

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IFRX 相似圖表分析預測

Alphio's IFRX stock price prediction model matches the current InflaRx NV tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.48 (+0.25%). The 1-week path is $1.49 (+0.50%). 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.

該買進 InflaRx NV 股票嗎?

InflaRx NV (IFRX) is a good buy right now due to its current price of $1.765, which is significantly below the analyst price target of $8 from Needham and $9 from Raymond James. The stock has shown a strong year-to-date change of +61.93% and a recent 5-day change of +12.06%, indicating positive momentum. However, the main risk is the company's negative earnings per share (EPS) estimate of -0.07 for the upcoming earnings report on November 9, which could impact investor sentiment.

IFRX 股價於 Wednesday 收在 $1.48,此前下跌 -8.64%

InflaRx NV (IFRX) last closed at $1.48, losing -8.64%. These facts feed the 1-day and 1-week IFRX price prediction above.

分析師一致預期

InflaRx NV(IFRX):買進 3、持有 0、賣出 0。展望:Strong Buy。

Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.

Strong sellSellNeutralBuyStrong buy
Buy
Sell
0
Buy
3

預測驅動因素

InflaRx NV(IFRX)的預測驅動因素綜合了相似的圖表形態、季節性與移動平均線。

Similar patterns

Positive

Bullish

Seasonality

Negative

Bearish

SMA 20

Negative

Bearish

SMA 200

Negative

Bearish

相似圖表形態

近期走勢與 IFRX 最接近的股票,依相似度排序。

IFRX 季節性分析

Historically the probability of a positive November return for IFRX is 37.21%. December offers the highest probability of a positive month at 48.84%, while March 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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本頁僅供研究參考,不構成投資建議。模型可能出錯。過往表現不代表未來結果。

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