$23.300
+0.711 (+3.05%)At close
Price Predictions
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PBR.A Prediction & Forecast by Similar Chart Analysis
Alphio's PBR.A stock price prediction model matches the current Petroleo Brasileiro SA Petrobras tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $23.22 (-0.34%). The 1-week path is $23.93 (+2.69%). 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 Petroleo Brasileiro SA Petrobras Stock?
Petroleo Brasileiro S.A.-Petrobras (PBR.A) is a good buy right now due to its strong financial performance and positive market sentiment. The stock is currently priced at $22.47, with a forward P/E ratio of 4.95, indicating it is undervalued compared to its earnings potential. Additionally, the gross margin has significantly improved to 52.33% in Q2 2026, reflecting strong operational efficiency. However, a key risk is the high RSI of 88.64, suggesting the stock may be overbought in the short term, which could lead to volatility.
PBR.A stock price ended at $23.30 on Friday, after rising +3.05%
Petroleo Brasileiro SA Petrobras (PBR.A) last closed at $23.3, gaining +3.05%. These facts feed the 1-day and 1-week PBR.A price prediction above.
Forecast Drivers
Petroleo Brasileiro SA Petrobras (PBR.A) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bullish
SMA 200
Bullish
Similar Chart Patterns
Stocks whose recent price path most closely matches PBR.A, ranked by similarity.
Seasonality analysis for PBR.A
Historically the probability of a positive October return for PBR.A is 31.03%. February offers the highest probability of a positive month at 100.00%, while December 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.