$90.020
-0.999 (-1.11%)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 NMM の予測・予想
Alphio's NMM stock price prediction model matches the current Navios Maritime Partners LP tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $90.33 (+0.34%). The 1-week path is $88.29 (-1.92%). 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.
Navios Maritime Partners LP 株は買うべき?
Navios Maritime Partners LP (NMM) is currently priced at $89.37, which is slightly above the average analyst target of $88.00, suggesting it may be fairly valued at this moment. The stock has shown a remarkable year-to-date increase of 73.91% and a one-year change of 93.78%, indicating strong performance. However, the RSI is at a low 24.144, suggesting that the stock may be oversold, which could present a buying opportunity if the price stabilizes. The main risk is the insider selling trend, which has increased by 132.52% over the last quarter, indicating potential lack of confidence from insiders.
NMM の株価は Friday に $90.02 で引け、その前に下落 -1.11%
Navios Maritime Partners LP (NMM) last closed at $90.0199966, losing -1.11%. These facts feed the 1-day and 1-week NMM price prediction above.
アナリストのコンセンサス
Navios Maritime Partners LP(NMM):買い 4、中立 4、売り 1。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
Navios Maritime Partners LP(NMM)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
Bullish
類似チャートパターン
直近の値動きが NMM に最も近い銘柄を、類似度順に表示します。
NMM の季節性分析
Historically the probability of a positive October return for NMM is 72.06%. November offers the highest probability of a positive month at 100.00%, while February 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。