$28.070
+0.396 (+1.41%)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 HROW の予測・予想
Alphio's HROW stock price prediction model matches the current Harrow Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $27.87 (-0.72%). The 1-week path is $27.86 (-0.76%). 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.
Harrow Inc 株は買うべき?
Harrow Inc. is currently not a strong buy due to its low RSI of 27.504, indicating oversold conditions, and a significant year-to-date decline of 45.34%. However, the potential upside based on analyst targets suggests a possible recovery. The main risk is the high forward P/E ratio of 46.729, indicating that the stock may be overvalued relative to its earnings potential.
HROW の株価は Tuesday に $28.07 で引け、その前に上昇 +1.41%
Harrow Inc (HROW) last closed at $28.07, gaining +1.41%. These facts feed the 1-day and 1-week HROW price prediction above.
予想の要因
Harrow Inc(HROW)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
Bearish
SMA 200
Bearish
類似チャートパターン
直近の値動きが HROW に最も近い銘柄を、類似度順に表示します。
HROW の季節性分析
Historically the probability of a positive October return for HROW is 75.41%. December 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.
HROW の10年価格予想
| 月 | 最低価格 | 平均価格 | 最高価格 | 想定 ROI |
|---|---|---|---|---|
| Oct 2026 | $31.13 | $41.70 | $52.14 | +48.55% |
| Nov 2026 | $38.69 | $44.98 | $46.95 | +60.26% |
| Dec 2026 | $38.28 | $39.02 | $47.61 | +39.01% |
2026年、Harrow Inc(HROW)は $31.13 から $52.14 のレンジになると予想されます。
Harrow Inc の 2026年 月次予想
2026年Oct、Harrow Inc の平均は $41.70、安値 $31.13、高値 $52.14 と予想されます。
2026年Nov、Harrow Inc の平均は $44.98、安値 $38.69、高値 $46.95 と予想されます。
2026年Dec、Harrow Inc の平均は $39.02、安値 $38.28、高値 $47.61 と予想されます。
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。