NexMetals Mining Corp

NexMetals Mining Corp(NEXM)價格預測

$1.240

+0.041 (+3.33%)收盤時

價格預測

1-Day Price Prediction
-0.55%
1-Week Prediction
+3.13%
1-Month Prediction
—
2026 Prediction
—
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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NEXM 相似圖表分析預測

Alphio's NEXM stock price prediction model matches the current NexMetals Mining Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.23 (-0.55%). The 1-week path is $1.28 (+3.13%). 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 NexMetals Mining Corp 股票嗎?

NexMetals Mining Corp is not a good buy right now due to its current price of 1.33 CAD, which is significantly below its 52-week high of 4.71 CAD, indicating a substantial decline of 71.8%. Additionally, the company's RSI is at 34.104, suggesting it is in oversold territory, but this does not guarantee a rebound. The forward P/E is 0, reflecting no expected earnings, and the company has reported consistent net losses, with the latest net income showing a loss of 10,623,437 CAD in Q1 2026. The main risk is the company's negative earnings trend, with a 66.92% year-to-date change, indicating ongoing financial struggles.

NEXM 股價於 Friday 收在 $1.24,此前上漲 +3.33%

NexMetals Mining Corp (NEXM) last closed at $1.24, gaining +3.33%. These facts feed the 1-day and 1-week NEXM price prediction above.

預測驅動因素

NexMetals Mining Corp(NEXM)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 NEXM 最接近的股票,依相似度排序。

NEXM 季節性分析

Historically the probability of a positive November return for NEXM is 0.00%. January offers the highest probability of a positive month at 60.00%, 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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相關文章

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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