Cognyte Software Ltd

Cognyte Software Ltd(CGNT)の株価予測

$9.790

-0.163 (-1.66%)終値時点

価格予想

1-Day Price Prediction
-2.30%
1-Week Prediction
-3.08%
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 CGNT の予測・予想

Alphio's CGNT stock price prediction model matches the current Cognyte Software Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $9.56 (-2.30%). The 1-week path is $9.49 (-3.08%). 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.

Cognyte Software Ltd 株は買うべき?

Cognyte Software Ltd is a good buy right now due to its current price of $9.76, strong revenue growth of 12% year-over-year, and a gross margin of 74.03%. The recent $5 million contracts with national security agencies enhance revenue stability, although the RSI is at 80.82, indicating overbought conditions, which could pose a risk if the momentum reverses.

CGNT の株価は Thursday に $9.79 で引け、その前に下落 -1.66%

Cognyte Software Ltd (CGNT) last closed at $9.79, losing -1.66%. These facts feed the 1-day and 1-week CGNT price prediction above.

アナリストのコンセンサス

Cognyte Software Ltd(CGNT):買い 2、中立 0、売り 0。見通し: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

予想の要因

Cognyte Software Ltd(CGNT)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

Positive

Bullish

SMA 200

Positive

Bullish

類似チャートパターン

直近の値動きが CGNT に最も近い銘柄を、類似度順に表示します。

CGNT の季節性分析

Historically the probability of a positive October return for CGNT is 45.59%. May offers the highest probability of a positive month at 100.00%, while March 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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本ページは調査目的であり、投資助言ではありません。モデルは誤ることがあります。過去の実績は将来の成果を保証しません。

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