Pineapple Financial Inc

Pineapple Financial Inc(PAPL)价格预测

$1.000

-0.048 (-4.76%)收盘时

价格预测

1-Day Price Prediction
-1.17%
1-Week Prediction
-1.06%
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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PAPL 相似图表分析预测

Alphio's PAPL stock price prediction model matches the current Pineapple Financial Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $0.99 (-1.17%). The 1-week path is $0.99 (-1.06%). 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 Pineapple Financial Inc 股票吗?

Pineapple Financial Inc is currently not a good buy due to its poor financial performance and high volatility. The stock has a current price of $1.00, which is down 73.26% over the past year. Additionally, the RSI is at 31.478, indicating that the stock is oversold. While the company has initiated a $3 million share buyback program, which could enhance shareholder value, the significant operational losses of $19,495,788 in Q2 2026 and a negative net margin of -2756.20% raise concerns about its financial health. The main risk is its declining revenue and high expenses, which could further impact investor confidence.

PAPL 股价于 Friday 收于 $1.00,此前下跌 -4.76%

Pineapple Financial Inc (PAPL) last closed at $1, losing -4.76%. These facts feed the 1-day and 1-week PAPL price prediction above.

预测驱动因素

Pineapple Financial Inc(PAPL)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

Negative

Bearish

SMA 20

Negative

Bearish

SMA 200

Negative

Bearish

相似图表形态

近期走势与 PAPL 最接近的股票,按相似度排序。

PAPL 季节性分析

Historically the probability of a positive August return for PAPL is 34.92%. September offers the highest probability of a positive month at 51.22%, 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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