$2.410
-0.020 (-0.82%)At close
Price Predictions
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MBAI Prediction & Forecast by Similar Chart Analysis
Alphio's MBAI stock price prediction model matches the current Check Cap Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $2.40 (-0.35%). The 1-week path is $2.47 (+2.45%). 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 Check Cap Ltd Stock?
Currently, Check Cap Ltd (MBAI) is not a strong buy due to its low current price of $1.78, which is significantly below its 52-week high of $27.44, indicating a major decline of 85.17% year-to-date. The RSI is at 26.029, suggesting that the stock is oversold, but this could also indicate continued weakness. The forward P/E ratio is 1.2655, which is attractive, but the company is still facing significant financial challenges, including a negative EPS of -30.10 for Q4 2024 and a current ratio of only 0.15, indicating liquidity issues. The main risk is the ongoing volatility, as evidenced by a 5-day change of -8.72%.
MBAI stock price ended at $2.41 on Friday, after losing -0.82%
Check Cap Ltd (MBAI) last closed at $2.4100001, losing -0.82%. These facts feed the 1-day and 1-week MBAI price prediction above.
Forecast Drivers
Check Cap Ltd (MBAI) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bullish
SMA 200
Bearish
Similar Chart Patterns
Stocks whose recent price path most closely matches MBAI, ranked by similarity.
Seasonality analysis for MBAI
Historically the probability of a positive November return for MBAI is 12.50%. December offers the highest probability of a positive month at 100.00%, 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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This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.