$0.177
+0.015 (+8.19%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
ATCH 相似圖表分析預測
Alphio's ATCH stock price prediction model matches the current Atlasclear Holdings Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $0.17 (+0.35%). The 1-week path is $0.17 (+1.25%). 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 Atlasclear Holdings Inc 股票嗎?
Atlasclear Holdings Inc is currently not a strong buy due to its low RSI of 33.6, indicating potential oversold conditions, and a significant year-to-date change of -37.01%, suggesting ongoing weakness. However, the company has shown a remarkable revenue growth of 68% year-over-year in Q3 2026, which could indicate future potential if operational challenges are managed.
ATCH 股價於 Thursday 收在 $0.18,此前上漲 +8.19%
Atlasclear Holdings Inc (ATCH) last closed at $0.1666, losing -5.93%. These facts feed the 1-day and 1-week ATCH price prediction above.
預測驅動因素
Atlasclear Holdings Inc(ATCH)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
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bearish
相似圖表形態
近期走勢與 ATCH 最接近的股票,依相似度排序。
ATCH 季節性分析
Historically the probability of a positive October return for ATCH is 0.00%. January offers the highest probability of a positive month at 34.43%, while March is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
ATCH 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Oct 2026 | $0.14 | $0.16 | $0.18 | -5.07% |
| Nov 2026 | $0.18 | $0.18 | $0.19 | +9.25% |
| Dec 2026 | $0.15 | $0.19 | $0.22 | +12.88% |
2026 年,Atlasclear Holdings Inc(ATCH)預計區間為 $0.14 至 $0.22。
Atlasclear Holdings Inc 2026 年月度預測
2026 年 Oct,Atlasclear Holdings Inc 預計均價 $0.16,最低 $0.14,最高 $0.18。
2026 年 Nov,Atlasclear Holdings Inc 預計均價 $0.18,最低 $0.18,最高 $0.19。
2026 年 Dec,Atlasclear Holdings Inc 預計均價 $0.19,最低 $0.15,最高 $0.22。
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。