Satellos Bioscience Inc

Satellos Bioscience Inc (MSLE) Price Prediction & Forecast

$8.660

-0.856 (-9.89%)At close

Price Predictions

1-Day Price Prediction
+0.10%
1-Week Prediction
-1.51%
1-Month Prediction
2026 Prediction
2030 Prediction

Open in app to unlock longer-horizon forecasts.

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MSLE Prediction & Forecast by Similar Chart Analysis

Alphio's MSLE stock price prediction model matches the current Satellos Bioscience Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $8.67 (+0.10%). The 1-week path is $8.53 (-1.51%). 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.

Should I Buy Satellos Bioscience Inc Stock?

Currently, Satellos Bioscience Inc (MSLE) is trading at $8.66, down 26.70% year-to-date, which indicates a significant decline. Despite receiving FDA Fast Track Designation for its drug SAT-3247, the company has reported consistent net losses, with the latest quarterly net income at -11,718,000 USD. Analysts have set a price target range from $18 to $23, suggesting a potential upside of 107% to 165%. However, the RSI is at 22.546, indicating the stock is oversold, which may present a buying opportunity, but the persistent losses and high risk associated with clinical trials remain a concern.

MSLE stock price ended at $8.66 on Friday, after losing -9.89%

Satellos Bioscience Inc (MSLE) last closed at $8.66, losing -9.89%. These facts feed the 1-day and 1-week MSLE price prediction above.

Forecast Drivers

Satellos Bioscience Inc (MSLE) forecast drivers combine similar chart patterns, seasonality, and moving averages.

Similar patterns

Positive

Bullish

Seasonality

Negative

Bearish

SMA 20

Negative

Bearish

SMA 200

Positive

Bullish

Similar Chart Patterns

Stocks whose recent price path most closely matches MSLE, ranked by similarity.

Seasonality analysis for MSLE

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This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.

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