Enerflex Ltd（EFXT）价格预测

$23.430

+0.701 (+2.99%)收盘时

价格预测

1-Day Price Prediction

+1.64%

1-Week Prediction

-0.46%

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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EFXT 相似图表分析预测

Alphio's EFXT stock price prediction model matches the current Enerflex Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $23.81 (+1.64%). The 1-week path is $23.32 (-0.46%). 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 Enerflex Ltd 股票吗？

Enerflex Ltd (EFXT) is currently trading at $22.75, which is significantly below the analyst price target of $30 to $32, indicating potential upside. However, the RSI is at 33.692, suggesting the stock is nearing oversold conditions, but it has recently experienced a 5-day decline of 8.63%, indicating short-term weakness. The main risk is the recent volatility reflected in the 20-day change of -3.48% and the negative sentiment surrounding the stock's performance in the last quarter, where it reported a net loss of $57 million in Q4 2025. Therefore, while there is potential for recovery, caution is advised due to recent performance trends.

EFXT 股价于 Monday 收于 $23.43，此前上涨 +2.99%

Enerflex Ltd (EFXT) last closed at $23.4300003, gaining +2.99%. These facts feed the 1-day and 1-week EFXT price prediction above.

预测驱动因素

Enerflex Ltd（EFXT）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

Positive

Bullish

Seasonality

Positive

Bullish

SMA 20

Negative

Bearish

SMA 200

Positive

Bullish

相似图表形态

近期走势与 EFXT 最接近的股票，按相似度排序。

VLY

91.42%

+3.59%

CAT

90.90%

+2.78%

SGHC

90.89%

-1.29%

UCTT

90.69%

+19.83%

FIBK

90.58%

+1.13%

EFXT 季节性分析

Historically the probability of a positive October return for EFXT is 100.00%. October offers the highest probability of a positive month at 100.00%, while January 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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