$14.350
+0.080 (+0.56%)At close
Price Predictions
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SD Prediction & Forecast by Similar Chart Analysis
Alphio's SD stock price prediction model matches the current SandRidge Energy Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $14.22 (-0.42%). The 1-week path is $13.70 (-4.04%). 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 SandRidge Energy Inc Stock?
SandRidge Energy Inc is a good buy right now due to its current price of $14.27 being below the analyst price target of $15, indicating potential upside. Additionally, the company has shown a strong gross margin of 49.86% in Q2 2026, which reflects solid profitability. The main risk is the missed earnings expectations in Q2, where the EPS was $0.57, falling short by $0.18, which could affect investor confidence.
SD stock price ended at $14.35 on Monday, after rising +0.56%
SandRidge Energy Inc (SD) last closed at $14.28, losing -0.49%. These facts feed the 1-day and 1-week SD price prediction above.
Analyst Consensus
SandRidge Energy Inc (SD): 1 buy, 2 hold, 0 sell. Outlook: Hold.
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
Forecast Drivers
SandRidge Energy Inc (SD) 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 SD, ranked by similarity.
Seasonality analysis for SD
Historically the probability of a positive October return for SD is 10.00%. April offers the highest probability of a positive month at 59.38%, while July 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.