$112.720
+2.457 (+2.18%)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 NRP の予測・予想
Alphio's NRP stock price prediction model matches the current Natural Resource Partners LP tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $111.87 (-0.75%). The 1-week path is $112.38 (-0.30%). 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.
Natural Resource Partners LP 株は買うべき?
Natural Resource Partners LP is a good buy right now due to its solid financial performance and positive market indicators. The current price is $112.72, and the company has generated $42 million in free cash flow in Q2 2026, with a total of $163 million over the past 12 months, indicating strong cash generation capabilities. Additionally, hedge funds have increased their buying activity by 6772.69% over the last quarter, signaling strong institutional interest. However, a key risk is the potential for lower domestic prices in 2027 due to an oversupply of soda ash, which could pressure future earnings.
NRP の株価は Friday に $112.72 で引け、その前に上昇 +2.18%
Natural Resource Partners LP (NRP) last closed at $112.72, gaining +2.18%. These facts feed the 1-day and 1-week NRP price prediction above.
アナリストのコンセンサス
Natural Resource Partners LP(NRP):買い 0、中立 3、売り 0。見通し:Hold。
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
予想の要因
Natural Resource Partners LP(NRP)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 NRP に最も近い銘柄を、類似度順に表示します。
NRP の季節性分析
Historically the probability of a positive August return for NRP is 26.98%. January offers the highest probability of a positive month at 77.05%, while June 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。