Pyxis Tankers Inc（PXS）价格预测

$5.540

-0.049 (-0.89%)收盘时

价格预测

1-Day Price Prediction

-0.93%

1-Week Prediction

-2.48%

1-Month Prediction

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2026 Prediction

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2030 Prediction

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在 App 中打开以解锁更长周期的预测。

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PXS 相似图表分析预测

Alphio's PXS stock price prediction model matches the current Pyxis Tankers Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $5.49 (-0.93%). The 1-week path is $5.40 (-2.48%). 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.

该买入 Pyxis Tankers Inc 股票吗？

Pyxis Tankers Inc is a good buy right now due to its strong earnings performance and favorable analyst outlook. The current price is $6.50, significantly below the analyst price target of $11.50, indicating a potential upside of 76.92%. Additionally, the forward P/E ratio of 4.15 suggests that the stock is undervalued compared to its earnings potential. However, the main risk is the recent 5-day price change of -13.91%, indicating volatility that investors should be cautious of.

PXS 股价于 Friday 收于 $5.54，此前下跌 -0.89%

Pyxis Tankers Inc (PXS) last closed at $5.54, losing -0.89%. These facts feed the 1-day and 1-week PXS price prediction above.

分析师一致预期

Pyxis Tankers Inc（PXS）：买入 1、持有 0、卖出 0。展望：Strong Buy。

Sell / Buy

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

Neutral

Sell

Buy

预测驱动因素

Pyxis Tankers Inc（PXS）的预测驱动因素综合了相似的图表形态、季节性与移动平均线。

Similar patterns

Negative

Bearish

Seasonality

Negative

Bearish

SMA 20

Negative

Bearish

SMA 200

Positive

Bullish

相似图表形态

近期走势与 PXS 最接近的股票，按相似度排序。

QCOM

91.12%

-15.75%

TEVA

90.44%

-6.89%

90.38%

-16.59%

NVTS

90.26%

-45.68%

NXPI

89.95%

-14.25%

PXS 季节性分析

Historically the probability of a positive November return for PXS is 29.55%. January offers the highest probability of a positive month at 78.69%, while December 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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