$1.860
-0.181 (-9.71%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
VCIG 相似圖表分析預測
Alphio's VCIG stock price prediction model matches the current VCI Global Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.90 (+1.95%). The 1-week path is $1.89 (+1.77%). 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 VCI Global Ltd 股票嗎？
VCI Global Ltd is not a good buy right now due to its extremely low current price of 2.23, a staggering year-to-date change of -99.59%, and a very low forward P/E ratio of 0. This indicates that the stock has lost significant value and may not recover in the near term, despite some recent positive news regarding compliance and AI initiatives.
VCIG 股價於 Tuesday 收在 $1.86，此前下跌 -9.71%
VCI Global Ltd (VCIG) last closed at $1.86, losing -9.71%. These facts feed the 1-day and 1-week VCIG price prediction above.
預測驅動因素
VCI Global Ltd（VCIG）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 VCIG 最接近的股票，依相似度排序。
VCIG 季節性分析
Historically the probability of a positive September return for VCIG is 0.00%. January offers the highest probability of a positive month at 31.15%, while February is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
VCIG 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Sep 2026 | $1.11 | $1.16 | $1.17 | -37.57% |
| Oct 2026 | $0.59 | $0.86 | $1.09 | -53.86% |
| Nov 2026 | $1.10 | $1.16 | $1.39 | -37.57% |
| Dec 2026 | $1.11 | $1.16 | $1.23 | -37.57% |
2026 年，VCI Global Ltd（VCIG）預計區間為 $0.59 至 $1.39。
VCI Global Ltd 2026 年月度預測
2026 年 Sep，VCI Global Ltd 預計均價 $1.16，最低 $1.11，最高 $1.17。
2026 年 Oct，VCI Global Ltd 預計均價 $0.86，最低 $0.59，最高 $1.09。
2026 年 Nov，VCI Global Ltd 預計均價 $1.16，最低 $1.10，最高 $1.39。
2026 年 Dec，VCI Global Ltd 預計均價 $1.16，最低 $1.11，最高 $1.23。
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。