Kiora Pharmaceuticals Inc

Kiora Pharmaceuticals Inc(KPRX)價格預測

$1.410

-0.085 (-6.00%)收盤時

價格預測

1-Day Price Prediction
-0.06%
1-Week Prediction
-0.17%
1-Month Prediction
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2026 Prediction
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2030 Prediction
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在 App 中開啟以解鎖更長週期的預測。

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KPRX 相似圖表分析預測

Alphio's KPRX stock price prediction model matches the current Kiora Pharmaceuticals Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.41 (-0.06%). The 1-week path is $1.41 (-0.17%). 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 Kiora Pharmaceuticals Inc 股票嗎?

Kiora Pharmaceuticals Inc is not a good buy right now. The stock is currently priced at $1.41, which is significantly below its 52-week high of $2.91, indicating a substantial decline. The RSI is at a very low 19.17, suggesting that the stock is oversold, but this could also indicate persistent weakness. Additionally, the forward P/E ratio is 2.41, which might seem attractive, but the company has reported consistent losses, including a Q1 loss of $0.58 per share and a net income of -$2,417,984 for Q1 2026. The main risk is the high volatility and lack of profitability, as evidenced by a 20-day change of -44.49%.

KPRX 股價於 Friday 收在 $1.41,此前下跌 -6.00%

Kiora Pharmaceuticals Inc (KPRX) last closed at $1.41, losing -6.00%. These facts feed the 1-day and 1-week KPRX price prediction above.

預測驅動因素

Kiora Pharmaceuticals Inc(KPRX)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 KPRX 最接近的股票,依相似度排序。

KPRX 季節性分析

Historically the probability of a positive November return for KPRX is 0.00%. February offers the highest probability of a positive month at 75.86%, 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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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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