$44.210
+0.447 (+1.01%)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 PAAS の予測・予想
Alphio's PAAS stock price prediction model matches the current Pan American Silver Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $44.39 (-0.09%). The 1-week path is $44.36 (-0.16%). 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.
Pan American Silver Corp 株は買うべき?
Currently, Pan American Silver Corp (PAAS) is priced at $44.21, which is significantly below the average analyst price target of $64.75, indicating potential upside. However, the stock has seen a 5-day decline of 4.45% and a year-to-date change of -13.38%, reflecting current market pressures. The RSI is at 44.123, suggesting it is nearing oversold territory, but the MACD indicates bearish momentum. The main risk is the disappointing Q2 earnings report, where EPS was $0.73 compared to an estimate of $0.84, leading to a 9.7% price drop post-earnings. Given these factors, it may be prudent to hold rather than buy at this time, awaiting clearer signs of recovery.
PAAS の株価は Friday に $44.21 で引け、その前に上昇 +1.01%
Pan American Silver Corp (PAAS) last closed at $44.43, gaining +0.50%. These facts feed the 1-day and 1-week PAAS price prediction above.
アナリストのコンセンサス
Pan American Silver Corp(PAAS):買い 7、中立 4、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
Pan American Silver Corp(PAAS)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 PAAS に最も近い銘柄を、類似度順に表示します。
PAAS の季節性分析
Historically the probability of a positive October return for PAAS is 77.97%. November offers the highest probability of a positive month at 100.00%, while January 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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