Morgan Stanley Direct Lending Fund

Morgan Stanley Direct Lending Fund(MSDL)價格預測

$14.200

+0.338 (+2.38%)收盤時

價格預測

1-Day Price Prediction
-1.38%
1-Week Prediction
-2.06%
1-Month Prediction
—
2026 Prediction
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2030 Prediction
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在 App 中開啟以解鎖更長週期的預測。

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MSDL 相似圖表分析預測

Alphio's MSDL stock price prediction model matches the current Morgan Stanley Direct Lending Fund tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $14.00 (-1.38%). The 1-week path is $13.91 (-2.06%). 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.

該買進 Morgan Stanley Direct Lending Fund 股票嗎?

Morgan Stanley Direct Lending Fund (MSDL) is a good buy right now due to its current price of $14.20, which is below the analyst price target of $14.50, indicating potential upside. The RSI is at 79.29, suggesting strong momentum, but it is approaching overbought territory. The forward P/E ratio is notably low at 7.42, indicating that the stock may be undervalued relative to its earnings potential. The main risk is the recent negative sentiment from Truffle Hound Capital's complete exit from its position, which could impact market confidence.

MSDL 股價於 Monday 收在 $14.20,此前上漲 +2.38%

Morgan Stanley Direct Lending Fund (MSDL) last closed at $14.1999998, gaining +2.38%. These facts feed the 1-day and 1-week MSDL price prediction above.

預測驅動因素

Morgan Stanley Direct Lending Fund(MSDL)的預測驅動因素綜合了相似的圖表形態、季節性與移動平均線。

Similar patterns

Positive

Bullish

Seasonality

Negative

Bearish

SMA 20

Positive

Bullish

SMA 200

Negative

Bearish

相似圖表形態

近期走勢與 MSDL 最接近的股票,依相似度排序。

MSDL 季節性分析

Historically the probability of a positive November return for MSDL is 48.78%. January offers the highest probability of a positive month at 54.35%, while June 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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本頁僅供研究參考,不構成投資建議。模型可能出錯。過往表現不代表未來結果。

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