Denison Mines Corp

Denison Mines Corp(DNN)價格預測

$3.220

+0.020 (+0.63%)收盤時

價格預測

1-Day Price Prediction
+1.28%
1-Week Prediction
-3.44%
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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DNN 相似圖表分析預測

Alphio's DNN stock price prediction model matches the current Denison Mines Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $3.45 (+1.28%). The 1-week path is $3.29 (-3.44%). 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 Denison Mines Corp 股票嗎?

Denison Mines Corp is currently a hold. The stock is priced at $3.39, which is below the analyst price targets of $6 and $6.50, indicating potential upside. However, the RSI is at 46.57, suggesting it is neither overbought nor oversold, and the recent 5-day change is down 3.14%, indicating short-term weakness. The main risk is the high forward P/E ratio of 188.68, which suggests that the stock may be overvalued based on future earnings expectations.

DNN 股價於 Wednesday 收在 $3.22,此前上漲 +0.63%

Denison Mines Corp (DNN) last closed at $3.41, gaining +5.90%. These facts feed the 1-day and 1-week DNN price prediction above.

分析師一致預期

Denison Mines Corp(DNN):買進 2、持有 1、賣出 0。展望:Buy。

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

Strong sellSellNeutralBuyStrong buy
Buy
Sell
0
Buy
2

預測驅動因素

Denison Mines Corp(DNN)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

Positive

Bullish

SMA 20

Positive

Bullish

SMA 200

Positive

Bullish

相似圖表形態

近期走勢與 DNN 最接近的股票,依相似度排序。

DNN 季節性分析

Historically the probability of a positive September return for DNN is 68.18%. October offers the highest probability of a positive month at 100.00%, while August 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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