$15.670
+0.379 (+2.42%)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 REPL の予測・予想
Alphio's REPL stock price prediction model matches the current Replimune Group Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $15.57 (-0.65%). The 1-week path is $15.84 (+1.07%). 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.
Replimune Group Inc 株は買うべき?
Replimune Group Inc is currently priced at $15.50, which is below the average analyst price target of $20.75, indicating potential upside. However, the company is facing significant risks, including a class action lawsuit related to securities fraud, which could impact investor confidence and stock performance. Additionally, the company has reported consistent net losses, with a net income of -83,193,000 USD in the most recent quarter, raising concerns about its financial health. Therefore, while there is potential for growth, the risks associated with the lawsuit and ongoing losses suggest a cautious approach is warranted at this time.
REPL の株価は Tuesday に $15.67 で引け、その前に上昇 +2.42%
Replimune Group Inc (REPL) last closed at $15.67, gaining +2.42%. These facts feed the 1-day and 1-week REPL price prediction above.
アナリストのコンセンサス
Replimune Group Inc(REPL):買い 3、中立 0、売り 0。見通し:Strong Buy。
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
予想の要因
Replimune Group Inc(REPL)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
Bullish
類似チャートパターン
直近の値動きが REPL に最も近い銘柄を、類似度順に表示します。
REPL の季節性分析
Historically the probability of a positive September return for REPL is 50.00%. August offers the highest probability of a positive month at 67.19%, while April 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。