$0.469
-0.015 (-3.26%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
FLD 相似图表分析预测
Alphio's FLD stock price prediction model matches the current Fold Holdings Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $0.47 (-0.43%). The 1-week path is $0.49 (+4.23%). 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 Fold Holdings Inc 股票吗?
Currently, FTAC Emerald Acquisition Corp (FLD) is not a good buy. The stock is trading at $0.4685, significantly down 83.03% year-to-date, indicating severe underperformance. The RSI is at 20.855, suggesting that the stock is oversold, but this could also mean continued downward pressure. Additionally, the forward P/E ratio is 0, indicating uncertainty about future earnings. The main risk is the company's ongoing net losses, with a reported net loss of $29,167,906 in Q1 2026, which raises concerns about its financial viability.
FLD 股价于 Friday 收于 $0.47,此前下跌 -3.26%
Fold Holdings Inc (FLD) last closed at $0.4685, losing -3.26%. These facts feed the 1-day and 1-week FLD price prediction above.
预测驱动因素
Fold Holdings Inc(FLD)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
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bearish
相似图表形态
近期走势与 FLD 最接近的股票,按相似度排序。
FLD 季节性分析
Historically the probability of a positive November return for FLD is 45.45%. November offers the highest probability of a positive month at 45.45%, while February is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
FLD 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Nov 2026 | $3.60 | $3.89 | $4.33 | +730.59% |
| Dec 2026 | $3.16 | $3.89 | $4.40 | +730.59% |
2026 年,Fold Holdings Inc(FLD)预计区间为 $3.16 至 $4.40。
Fold Holdings Inc 2026 年月度预测
2026 年 Nov,Fold Holdings Inc 预计均价 $3.89,最低 $3.60,最高 $4.33。
2026 年 Dec,Fold Holdings Inc 预计均价 $3.89,最低 $3.16,最高 $4.40。
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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。