$10.490
+1.217 (+11.60%)At close
Price Predictions
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MNTN Prediction & Forecast by Similar Chart Analysis
Alphio's MNTN stock price prediction model matches the current MNTN Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $10.23 (+0.65%). The 1-week path is $10.71 (+5.38%). 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 MNTN Inc Stock?
MNTN is currently a hold due to mixed signals in its financial performance and analyst ratings. The current price is $10.19, which is significantly below the lowest analyst price target of $16, indicating potential upside. However, the RSI is at 42.535, suggesting the stock is nearing oversold territory but not yet a strong buy signal. The recent 5-day change is positive at +3.03%, but the year-to-date change is negative at -16.41%, showing volatility in performance. The main risk is the recent earnings miss, with reported EPS of $0.11 falling short of the estimate of $0.22, which could affect investor confidence in the near term.
MNTN stock price ended at $10.49 on Thursday, after rising +11.60%
MNTN Inc (MNTN) last closed at $10.16, losing -3.15%. These facts feed the 1-day and 1-week MNTN price prediction above.
Forecast Drivers
MNTN Inc (MNTN) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bullish
Similar Chart Patterns
Stocks whose recent price path most closely matches MNTN, ranked by similarity.
Seasonality analysis for MNTN
Historically the probability of a positive October return for MNTN is 0.00%. August offers the highest probability of a positive month at 38.10%, while February is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.