$29.990
+0.561 (+1.87%)At close
Price Predictions
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IBN Prediction & Forecast by Similar Chart Analysis
Alphio's IBN stock price prediction model matches the current ICICI Bank Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $29.60 (-1.29%). The 1-week path is $31.81 (+6.08%). 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 ICICI Bank Ltd Stock?
ICICI Bank Ltd (IBN) is a good buy right now due to its current price of 29.99, which is supported by a strong RSI of 85.31 indicating overbought conditions but also high momentum. The bank's recent earnings report showed a net profit increase of 15.9% year-over-year, which is a solid indicator of financial health. However, the main risk is the slight increase in the net NPA ratio to 0.35%, which could affect asset quality.
IBN stock price ended at $29.99 on Friday, after rising +1.87%
ICICI Bank Ltd (IBN) last closed at $29.99, gaining +1.87%. These facts feed the 1-day and 1-week IBN price prediction above.
Analyst Consensus
ICICI Bank Ltd (IBN): 1 buy, 1 hold, 0 sell. Outlook: Buy.
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
Forecast Drivers
ICICI Bank Ltd (IBN) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bullish
SMA 200
Bullish
Similar Chart Patterns
Stocks whose recent price path most closely matches IBN, ranked by similarity.
Seasonality analysis for IBN
Historically the probability of a positive October return for IBN is 79.31%. November offers the highest probability of a positive month at 100.00%, while January 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.