Royal Gold Inc

Royal Gold Inc(RGLD)價格預測

$228.770

-7.778 (-3.40%)收盤時

價格預測

1-Day Price Prediction
-0.43%
1-Week Prediction
-0.30%
1-Month Prediction
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2026 Prediction
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2030 Prediction
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在 App 中開啟以解鎖更長週期的預測。

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RGLD 相似圖表分析預測

Alphio's RGLD stock price prediction model matches the current Royal Gold Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $227.79 (-0.43%). The 1-week path is $228.08 (-0.30%). 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 Royal Gold Inc 股票嗎?

Royal Gold Inc is currently not a strong buy due to its recent price decline and mixed analyst ratings. The current price is $227.42, and the RSI is at 35.09, indicating potential oversold conditions. However, the forward P/E ratio is 24.15, suggesting that the stock may be overvalued relative to its earnings potential. The main risk is the recent 5-day change of -4.47%, reflecting downward momentum that could continue in the short term.

RGLD 股價於 Friday 收在 $228.77,此前下跌 -3.40%

Royal Gold Inc (RGLD) last closed at $228.7700043, losing -3.40%. These facts feed the 1-day and 1-week RGLD price prediction above.

分析師一致預期

Royal Gold Inc(RGLD):買進 6、持有 6、賣出 0。展望:Buy。

Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.

Strong sellSellNeutralBuyStrong buy
Strong buy
Sell
0
Buy
6

預測驅動因素

Royal Gold Inc(RGLD)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

Positive

Bullish

Seasonality

Positive

Bullish

SMA 20

Negative

Bearish

SMA 200

Negative

Bearish

相似圖表形態

近期走勢與 RGLD 最接近的股票,依相似度排序。

RGLD 季節性分析

Historically the probability of a positive October return for RGLD is 100.00%. September offers the highest probability of a positive month at 100.00%, while February is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.

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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。

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