$2.340
+0.072 (+3.08%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
TROO 相似圖表分析預測
Alphio's TROO stock price prediction model matches the current TROOPS Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $2.11 (-1.48%). The 1-week path is $2.12 (-1.14%). 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 TROOPS Inc 股票嗎?
TROO Inc is a good buy right now due to its current price of $2.15, which is below the Fibonacci resistance level of $2.263, indicating potential for upward movement. The stock has experienced a 5-day change of +12.27% and a 20-day change of +26.47%, suggesting strong momentum. However, the forward P/E ratio is 0, indicating uncertainty in future earnings, which is a risk to consider.
TROO 股價於 Tuesday 收在 $2.34,此前上漲 +3.08%
TROOPS Inc (TROO) last closed at $2.145, losing -8.33%. These facts feed the 1-day and 1-week TROO price prediction above.
預測驅動因素
TROOPS Inc(TROO)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
Bullish
SMA 200
Bearish
相似圖表形態
近期走勢與 TROO 最接近的股票,依相似度排序。
TROO 季節性分析
Historically the probability of a positive September return for TROO is 44.19%. September offers the highest probability of a positive month at 44.19%, while March is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
TROO 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Sep 2026 | $0.86 | $0.95 | $1.02 | -55.91% |
| Oct 2026 | $0.64 | $0.71 | $0.83 | -66.70% |
| Nov 2026 | $0.87 | $0.93 | $1.01 | -56.56% |
| Dec 2026 | $0.65 | $0.72 | $0.87 | -66.29% |
2026 年,TROOPS Inc(TROO)預計區間為 $0.64 至 $1.02。
TROOPS Inc 2026 年月度預測
2026 年 Sep,TROOPS Inc 預計均價 $0.95,最低 $0.86,最高 $1.02。
2026 年 Oct,TROOPS Inc 預計均價 $0.71,最低 $0.64,最高 $0.83。
2026 年 Nov,TROOPS Inc 預計均價 $0.93,最低 $0.87,最高 $1.01。
2026 年 Dec,TROOPS Inc 預計均價 $0.72,最低 $0.65,最高 $0.87。
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。