Pineapple Financial Inc

Pineapple Financial Inc(PAPL)の株価予測

$0.954

-0.032 (-3.34%)終値時点

価格予想

1-Day Price Prediction
+0.38%
1-Week Prediction
-2.29%
1-Month Prediction
2026 Prediction
2030 Prediction

アプリで開くと、より長期の予想を確認できます。

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類似チャート分析による PAPL の予測・予想

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 $0.96 (+0.38%). The 1-week path is $0.93 (-2.29%). 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.

Pineapple Financial Inc 株は買うべき?

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 の株価は Wednesday に $0.95 で引け、その前に下落 -3.34%

Pineapple Financial Inc (PAPL) last closed at $0.9542, losing -3.34%. These facts feed the 1-day and 1-week PAPL price prediction above.

予想の要因

Pineapple Financial Inc(PAPL)の予想は、類似したチャートパターン・季節性・移動平均を組み合わせています。

Similar patterns

Positive

Bullish

Seasonality

Negative

Bearish

SMA 20

Negative

Bearish

SMA 200

Negative

Bearish

類似チャートパターン

直近の値動きが PAPL に最も近い銘柄を、類似度順に表示します。

PAPL の季節性分析

Historically the probability of a positive September return for PAPL is 48.84%. December offers the highest probability of a positive month at 51.16%, 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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