Equillium Inc

Equillium Inc(EQ)价格预测

$1.330

-0.067 (-5.00%)收盘时

价格预测

1-Day Price Prediction
+1.11%
1-Week Prediction
-3.28%
1-Month Prediction
—
2026 Prediction
—
2030 Prediction
—

在 App 中打开以解锁更长周期的预测。

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EQ 相似图表分析预测

Alphio's EQ stock price prediction model matches the current Equillium Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.34 (+1.11%). The 1-week path is $1.29 (-3.28%). 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 Equillium Inc 股票吗?

Equillium Inc is a good buy right now due to its current price of $1.38, which is significantly below the analyst price targets of $20 and $6, indicating substantial upside potential. The RSI is at 53.339, suggesting a neutral momentum, while the stock has recently shown a 5-day change of +10.40%, indicating positive short-term performance. However, the main risk is the negative net income, with a loss of $5.3 million projected for Q1 2026, which investors should consider.

EQ 股价于 Thursday 收于 $1.33,此前下跌 -5.00%

Equillium Inc (EQ) last closed at $1.33, losing -5.00%. These facts feed the 1-day and 1-week EQ price prediction above.

分析师一致预期

Equillium Inc(EQ):买入 2、持有 0、卖出 0。展望:Strong Buy。

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

Strong sellSellNeutralBuyStrong buy
Buy
Sell
0
Buy
2

预测驱动因素

Equillium Inc(EQ)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

Negative

Bearish

相似图表形态

近期走势与 EQ 最接近的股票,按相似度排序。

EQ 季节性分析

Historically the probability of a positive November return for EQ is 72.73%. September 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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本页仅供研究参考,不构成投资建议。模型可能出错。过往表现不代表未来结果。

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