Brand Engagement Network Inc（BNAI）價格預測

$11.130

-0.128 (-1.15%)收盤時

價格預測

1-Day Price Prediction

-0.12%

1-Week Prediction

-1.59%

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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BNAI 相似圖表分析預測

Alphio's BNAI stock price prediction model matches the current Brand Engagement Network Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $11.12 (-0.12%). The 1-week path is $10.95 (-1.59%). 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 Brand Engagement Network Inc 股票嗎？

Brand Engagement Network Inc (BNAI) appears to be a good buy right now, especially considering its recent price of $12.61, which is significantly lower than its 52-week high of $86.28. The stock's RSI is currently at 24.643, indicating it is oversold and may rebound soon. Additionally, the company's gross margin has improved to 100% in the last two quarters, suggesting potential profitability ahead. However, the main risk lies in its high debt levels, with a debt-to-equity ratio of 6.11%, which could affect its financial stability if not managed properly.

BNAI 股價於 Tuesday 收在 $11.13，此前下跌 -1.15%

Brand Engagement Network Inc (BNAI) last closed at $11.13, losing -1.15%. These facts feed the 1-day and 1-week BNAI price prediction above.

預測驅動因素

Brand Engagement Network Inc（BNAI）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 BNAI 最接近的股票，依相似度排序。

BLDR

90.61%

-17.25%

AEO

90.54%

-2.20%

IBN

90.48%

-3.29%

ROL

90.44%

-9.83%

HIMS

90.44%

+48.62%

BNAI 季節性分析

Historically the probability of a positive September return for BNAI is 2.38%. February offers the highest probability of a positive month at 67.24%, while October 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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