ICICI Bank Share Price Target 2024-2050: Long-term Forecast & Analysis
ICICI Bank Limited is an Indian multinational bank and financial services company headquartered in Mumbai with a registered office in Vadodara. ICICI Bank is listed on the National Stock Exchange (NSE) and the Bombay Stock Exchange (BSE).
This detailed post will explore ICICI Bank Ltd.’s share price targets from 2024 to 2050, using various technical analysis approaches to provide long-term forecasts and predict targets up to 2050.
Overview of ICICI Bank Limited
ICICI Bank Limited is one of India’s leading private sector banks, headquartered in Mumbai. Established in 1994, it offers a wide range of financial products and services, including personal banking, corporate banking, and treasury operations. The bank has a strong presence both domestically and internationally, with branches in various countries.
ICICI Bank is known for its technology-driven banking solutions, including mobile banking, online banking, and various digital services that enhance customer convenience. Over the years, it has garnered a reputation for innovation in the banking sector.
Company Name | ICICI Bank Limited |
Industry | Financial Services |
Founded | 5 January 1955 |
Country | India |
Official Website | www.icicibank.com |
On this page, you’ll find comprehensive information about the company’s current stock price, live charts, and the latest forecasts for both short- and long-term periods:
- Real-Time Stock Price: Updated every minute for the most current data.
- Technical Indicators: Updated according to specific time frames to provide timely insights.
- Financial Reports: Updated quarterly to reflect the latest financial performance.
- Stock Charts: Refreshed every minute for up-to-the-minute visual data.
ICICI Bank stock forecast prices in the tables are updated automatically based on changes in the current asset price.
ICICI Bank Stock Price Forecast for Tomorrow and the Coming Week Based on the Last 30 Days.
Technical Analysis of ICICI Bank Based on Indicators
You can use indicator-based technical analysis for ICICI Bank Ltd. to identify better entry points in the market. Adjust the time frame to suit your needs for the best analysis.
ICICI Bank technical analysis signals are categorized to help you easily understand the market trends:
- “Sell” or “Strong Sell”: Indicates that most signals are bearish (negative).
- “Buy” or “Strong Buy”: Indicates that most signals are bullish (positive).
Keep in mind that signals can vary across different time frames. For short-term analysis, it’s recommended to use settings ranging from 15 minutes to 2 hours. If you’re planning to hold ICICI Bank Ltd. stock for more than a week, use settings that range from days to weeks.
ICICI Bank Ltd. Financials Data
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ICICI Bank Share Price Targets: 2024 to 2050 Snapshot
These “ICICI Bank Limited” price targets are for reference purposes only. Short-term and long-term ICICI Bank stock price predictions may vary due to the time series that were analyzed differently. This prediction assumes positive market sentiments, and this analysis does not cover any uncertainties in the company or global market conditions.
ICICI Bank Ltd. Share Price Target 2024
ICICI Bank Share Price Target 2025
ICICI Bank Share Price Target 2026
ICICI Bank Share Price Target 2027
ICICI Bank Share Price Target 2028
ICICI Bank Share Price Target 2029
ICICI Bank Share Price Target 2030
ICICI Bank Share Price Target 2040
ICICI Bank Share Price Target 2050
ICICI Bank Ltd. Chart Online
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Price Prediction Methodology
The following tools are utilized for making predictions:
- Consensus and Expert Opinion: Forecasts are also informed by the consensus of expert opinions, providing a well-rounded perspective.
- Technical Analysis: This fundamental tool involves studying price charts and employing various indicators to forecast future price movements. The analysis is primarily conducted on medium- and long-term time frames for enhanced accuracy.
- Statistical Methods: These are used to evaluate the likelihood, type, and intensity of fundamental factors that could influence price fluctuations.
- Predictive Modeling: This approach leverages statistical algorithms to forecast future prices based on historical data patterns.