$1.520
+0.010 (+0.66%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
FLX 相似圖表分析預測
Alphio's FLX stock price prediction model matches the current BingEx Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.44 (-5.21%). The 1-week path is $1.38 (-9.12%). 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 BingEx Ltd 股票嗎?
BingEx Ltd (FLX) is a good buy right now due to its recent price increase of 4.79% and an RSI of 65.716, indicating bullish momentum. Despite a year-to-date decline of 52.48%, the stock is currently positioned at 24.4% of its 52-week range, suggesting potential for upside. The projected trajectory indicates a potential increase of 185.77% based on similar historical patterns, which is a strong indicator for long-term investors. However, the main risk is the ongoing net loss of RMB 34 million reported in Q2 2026, which reflects financial pressures that could impact future performance.
FLX 股價於 Thursday 收在 $1.52,此前上漲 +0.66%
BingEx Ltd (FLX) last closed at $1.52, gaining +0.66%. These facts feed the 1-day and 1-week FLX price prediction above.
預測驅動因素
BingEx Ltd(FLX)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 FLX 最接近的股票,依相似度排序。
FLX 季節性分析
Historically the probability of a positive November return for FLX is 0.00%. February offers the highest probability of a positive month at 60.53%, while April is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
FLX 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Nov 2026 | $3.04 | $3.39 | $3.95 | +123.12% |
| Dec 2026 | $3.07 | $3.22 | $3.82 | +111.86% |
2026 年,BingEx Ltd(FLX)預計區間為 $3.04 至 $3.95。
BingEx Ltd 2026 年月度預測
2026 年 Nov,BingEx Ltd 預計均價 $3.39,最低 $3.04,最高 $3.95。
2026 年 Dec,BingEx Ltd 預計均價 $3.22,最低 $3.07,最高 $3.82。
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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。