$10.570
+0.071 (+0.67%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
RDIB 相似圖表分析預測
Alphio's RDIB stock price prediction model matches the current Reading International Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $10.69 (+1.18%). The 1-week path is $10.99 (+3.95%). 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 Reading International Inc 股票嗎?
Reading International Inc is not a strong buy at the moment due to its current price of 10.49, which is significantly lower than its 52-week high of 24.00, indicating a potential for recovery but also substantial risk. The RSI is at 30.237, suggesting the stock is oversold, but the forward P/E ratio of 10.2564 indicates that while it may be undervalued, the company has faced recent losses, including a net income loss of 8.1 million in Q1 2026.
RDIB 股價於 Wednesday 收在 $10.57,此前上漲 +0.67%
Reading International Inc (RDIB) last closed at $10.5699997, gaining +0.67%. These facts feed the 1-day and 1-week RDIB price prediction above.
預測驅動因素
Reading International Inc(RDIB)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 RDIB 最接近的股票,依相似度排序。
RDIB 季節性分析
Historically the probability of a positive November return for RDIB is 44.19%. May offers the highest probability of a positive month at 68.25%, while June is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
RDIB 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Nov 2026 | $8.95 | $11.47 | $13.17 | +8.48% |
| Dec 2026 | $12.57 | $12.64 | $12.95 | +19.63% |
2026 年,Reading International Inc(RDIB)預計區間為 $8.95 至 $13.17。
Reading International Inc 2026 年月度預測
2026 年 Nov,Reading International Inc 預計均價 $11.47,最低 $8.95,最高 $13.17。
2026 年 Dec,Reading International Inc 預計均價 $12.64,最低 $12.57,最高 $12.95。
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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。