Nomadar Corp

Nomadar Corp(NOMA)价格预测

$1.160

-0.117 (-10.08%)收盘时

价格预测

1-Day Price Prediction
-1.98%
1-Week Prediction
+3.41%
1-Month Prediction
—
2026 Prediction
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2030 Prediction
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在 App 中打开以解锁更长周期的预测。

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NOMA 相似图表分析预测

Alphio's NOMA stock price prediction model matches the current Nomadar Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.14 (-1.98%). The 1-week path is $1.20 (+3.41%). 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.

该买入 Nomadar Corp 股票吗?

Nomadar Corp. is not a good buy right now due to its poor financial performance and high volatility. The current price is $1.16, which is significantly down from its 52-week high of $10.00, reflecting an 81.59% decline over the past year. Additionally, the RSI is at a very low 21.344, indicating oversold conditions but also a lack of upward momentum. The company reported a gross margin of 89.47% in the latest quarter, but this is overshadowed by a substantial net loss of $439,941, raising concerns about its profitability. The main risk is the ongoing net losses, which totaled $1,586,954 in the most recent quarter, suggesting that financial stability is still a significant issue.

NOMA 股价于 Friday 收于 $1.16,此前下跌 -10.08%

Nomadar Corp (NOMA) last closed at $1.16, losing -10.08%. These facts feed the 1-day and 1-week NOMA price prediction above.

预测驱动因素

Nomadar Corp(NOMA)的预测驱动因素综合了相似的图表形态、季节性与移动平均线。

Similar patterns

Positive

Bullish

Seasonality

Negative

Bearish

SMA 20

Negative

Bearish

SMA 200

Negative

Bearish

相似图表形态

近期走势与 NOMA 最接近的股票,按相似度排序。

NOMA 季节性分析

Historically the probability of a positive November return for NOMA is 0.00%. February offers the highest probability of a positive month at 57.89%, while May 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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本页仅供研究参考,不构成投资建议。模型可能出错。过往表现不代表未来结果。

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