$19.790
-0.712 (-3.60%)終値時点
価格予想
アプリで開くと、より長期の予想を確認できます。
類似チャート分析による DAKT の予測・予想
Alphio's DAKT stock price prediction model matches the current Daktronics Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $19.61 (-0.92%). The 1-week path is $19.91 (+0.60%). 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.
Daktronics Inc 株は買うべき?
Daktronics Inc is a good buy right now due to its strong financial performance and positive market sentiment. The current price is $20.6, with a forward P/E ratio of 14.58, indicating it is reasonably valued compared to its growth prospects. Additionally, the company has shown a gross margin improvement to 28% and a significant increase in sales, with a record $839 million in net sales for fiscal 2026, reflecting an 11% year-over-year growth. The main risk is the recent volatility in earnings, as seen in the EPS figures, which fluctuated significantly, with a recent EPS of $0.40, up from $0.33 in the previous quarter, but still showing variability.
DAKT の株価は Wednesday に $19.79 で引け、その前に下落 -3.60%
Daktronics Inc (DAKT) last closed at $19.7900009, losing -3.60%. These facts feed the 1-day and 1-week DAKT price prediction above.
アナリストのコンセンサス
Daktronics Inc(DAKT):買い 1、中立 1、売り 0。見通し:Buy。
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
予想の要因
Daktronics Inc(DAKT)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
Bullish
Seasonality
Bullish
SMA 20
Bullish
SMA 200
Bearish
類似チャートパターン
直近の値動きが DAKT に最も近い銘柄を、類似度順に表示します。
DAKT の季節性分析
Historically the probability of a positive October return for DAKT is 74.24%. November offers the highest probability of a positive month at 100.00%, while February is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
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。