$1.400
+0.304 (+21.74%)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 QSI の予測・予想
Alphio's QSI stock price prediction model matches the current Quantum-Si Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.40 (+0.20%). The 1-week path is $1.47 (+5.14%). 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.
Quantum-Si Inc 株は買うべき?
Quantum-Si Inc is a good buy right now due to its recent price performance and technical indicators. The current price is $1.40, which is up 25% over the last 5 days and 67.81% over the last 20 days. The RSI is at 63.34, indicating bullish momentum. However, the company is facing challenges with a net loss of $23.5 million in Q2 2026, which is a significant risk.
QSI の株価は Friday に $1.40 で引け、その前に上昇 +21.74%
Quantum-Si Inc (QSI) last closed at $1.4, gaining +21.74%. These facts feed the 1-day and 1-week QSI price prediction above.
予想の要因
Quantum-Si Inc(QSI)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
Bearish
SMA 20
Bullish
SMA 200
Bullish
類似チャートパターン
直近の値動きが QSI に最も近い銘柄を、類似度順に表示します。
QSI の季節性分析
Historically the probability of a positive October return for QSI is 21.88%. January offers the highest probability of a positive month at 32.79%, while February is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
QSI 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 | $2.67 | $4.14 | $5.54 | +195.82% |
| Nov 2026 | $3.60 | $4.16 | $5.34 | +197.27% |
| Dec 2026 | $3.82 | $3.98 | $4.58 | +184.51% |
2026年、Quantum-Si Inc(QSI)は $2.67 から $5.54 のレンジになると予想されます。
Quantum-Si Inc の 2026年 月次予想
2026年Oct、Quantum-Si Inc の平均は $4.14、安値 $2.67、高値 $5.54 と予想されます。
2026年Nov、Quantum-Si Inc の平均は $4.16、安値 $3.60、高値 $5.34 と予想されます。
2026年Dec、Quantum-Si Inc の平均は $3.98、安値 $3.82、高値 $4.58 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。