GT Biopharma Inc

GT Biopharma Inc(GTBP)价格预测

$4.440

-0.098 (-2.20%)收盘时

价格预测

1-Day Price Prediction
-0.19%
1-Week Prediction
-0.67%
1-Month Prediction
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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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GTBP 相似图表分析预测

Alphio's GTBP stock price prediction model matches the current GT Biopharma Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $4.43 (-0.19%). The 1-week path is $4.41 (-0.67%). 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 GT Biopharma Inc 股票吗?

GT Biopharma Inc is not a good buy right now due to a significant net loss of $28.4 million for FY2025 and a current RSI of 23.39, indicating oversold conditions but also potential ongoing weakness. The stock has dropped 78.26% year-to-date, reflecting severe market challenges and investor sentiment issues.

GTBP 股价于 Friday 收于 $4.44,此前下跌 -2.20%

GT Biopharma Inc (GTBP) last closed at $4.4400001, losing -2.20%. These facts feed the 1-day and 1-week GTBP price prediction above.

预测驱动因素

GT Biopharma Inc(GTBP)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 GTBP 最接近的股票,按相似度排序。

GTBP 季节性分析

Historically the probability of a positive November return for GTBP is 0.00%. June offers the highest probability of a positive month at 16.67%, while February 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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GTBP 十年价格预测

月份最低价平均价最高价潜在回报率
Nov 2026$1.97$2.17$2.56-51.03%
Dec 2026$2.03$2.26$2.28-49.05%

2026 年,GT Biopharma Inc(GTBP)预计区间为 $1.97 至 $2.56。

GT Biopharma Inc 2026 年月度预测

GTBP 2026 年 Nov 预测
潜在回报率:-51.03%

2026 年 Nov,GT Biopharma Inc 预计均价 $2.17,最低 $1.97,最高 $2.56。

GTBP 2026 年 Dec 预测
潜在回报率:-49.05%

2026 年 Dec,GT Biopharma Inc 预计均价 $2.26,最低 $2.03,最高 $2.28。

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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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