XPLR Infrastructure LP（XIFR）價格預測

$9.760

-0.177 (-1.81%)收盤時

價格預測

1-Day Price Prediction

+1.99%

1-Week Prediction

+2.11%

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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XIFR 相似圖表分析預測

Alphio's XIFR stock price prediction model matches the current XPLR Infrastructure LP tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $9.95 (+1.99%). The 1-week path is $9.97 (+2.11%). 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 XPLR Infrastructure LP 股票嗎？

Xplr Infrastructure (XIFR) is currently not a strong buy. The current price is $9.94, with a forward P/E of 17.57, suggesting potential value but also indicating that the stock is not undervalued enough to warrant a buy. The RSI is at 28.99, indicating oversold conditions, but the recent performance shows a 5-day change of -4.15%, which raises concerns about continued downward momentum. The main risk is the negative net income reported in recent quarters, with a net income of $33 million in Q1 2026, which is still below expectations and reflects ongoing profitability challenges.

XIFR 股價於 Monday 收在 $9.76，此前下跌 -1.81%

XPLR Infrastructure LP (XIFR) last closed at $9.76, losing -1.81%. These facts feed the 1-day and 1-week XIFR price prediction above.

預測驅動因素

XPLR Infrastructure LP（XIFR）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

Negative

Bearish

SMA 20

Negative

Bearish

SMA 200

Negative

Bearish

相似圖表形態

近期走勢與 XIFR 最接近的股票，依相似度排序。

MAN

90.88%

+5.72%

ULCC

90.81%

-11.58%

AUB

90.59%

+15.57%

TWG

90.54%

-76.89%

OPEN

90.33%

-22.80%

XIFR 季節性分析

Historically the probability of a positive October return for XIFR is 15.00%. May offers the highest probability of a positive month at 58.73%, while November 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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