₹1,371.90
-7.00 (-0.508%)
At Close: Nov 18, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ₹1,317.50 | ₹1,441.95 | Tuesday, 18th Nov 2025 ICICIBANK.BO stock ended at ₹1,371.90. This is 0.508% less than the trading day before Monday, 17th Nov 2025. During the day the stock fluctuated 1.00% from a day low at ₹1,369.20 to a day high of ₹1,382.90. |
| 90 days | ₹1,317.50 | ₹1,447.70 | |
| 52 weeks | ₹1,187.00 | ₹1,494.10 |
Historical ICICI Bank Limited prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 18, 2025 | ₹1,382.90 | ₹1,382.90 | ₹1,369.20 | ₹1,371.90 | 74 895 |
| Nov 17, 2025 | ₹1,373.20 | ₹1,382.45 | ₹1,373.20 | ₹1,378.90 | 69 960 |
| Nov 14, 2025 | ₹1,377.85 | ₹1,381.55 | ₹1,363.50 | ₹1,371.90 | 194 359 |
| Nov 13, 2025 | ₹1,359.00 | ₹1,390.60 | ₹1,359.00 | ₹1,385.95 | 1 226 318 |
| Nov 12, 2025 | ₹1,369.00 | ₹1,369.00 | ₹1,356.00 | ₹1,358.95 | 200 751 |
| Nov 11, 2025 | ₹1,349.85 | ₹1,360.15 | ₹1,346.80 | ₹1,358.40 | 184 565 |
| Nov 10, 2025 | ₹1,342.75 | ₹1,342.75 | ₹1,342.75 | ₹1,342.75 | 0 |
| Nov 07, 2025 | ₹1,318.55 | ₹1,344.70 | ₹1,318.55 | ₹1,342.75 | 330 778 |
| Nov 06, 2025 | ₹1,330.00 | ₹1,341.60 | ₹1,317.50 | ₹1,320.40 | 968 812 |
| Nov 04, 2025 | ₹1,344.80 | ₹1,349.95 | ₹1,333.50 | ₹1,336.60 | 488 643 |
| Nov 03, 2025 | ₹1,341.95 | ₹1,351.50 | ₹1,338.00 | ₹1,345.60 | 493 620 |
| Oct 31, 2025 | ₹1,359.00 | ₹1,362.00 | ₹1,343.40 | ₹1,345.05 | 385 742 |
| Oct 30, 2025 | ₹1,362.15 | ₹1,370.30 | ₹1,360.80 | ₹1,362.45 | 707 639 |
| Oct 29, 2025 | ₹1,362.35 | ₹1,371.50 | ₹1,359.00 | ₹1,370.55 | 452 978 |
| Oct 28, 2025 | ₹1,374.90 | ₹1,374.90 | ₹1,356.60 | ₹1,363.20 | 884 448 |
| Oct 27, 2025 | ₹1,380.00 | ₹1,387.45 | ₹1,373.65 | ₹1,377.70 | 715 805 |
| Oct 24, 2025 | ₹1,370.55 | ₹1,381.75 | ₹1,368.80 | ₹1,375.45 | 745 989 |
| Oct 23, 2025 | ₹1,386.95 | ₹1,390.15 | ₹1,360.00 | ₹1,363.50 | 1 060 995 |
| Oct 20, 2025 | ₹1,441.20 | ₹1,441.95 | ₹1,389.25 | ₹1,390.90 | 625 035 |
| Oct 17, 2025 | ₹1,413.90 | ₹1,439.60 | ₹1,411.40 | ₹1,436.70 | 591 326 |
| Oct 16, 2025 | ₹1,400.05 | ₹1,419.05 | ₹1,399.05 | ₹1,417.20 | 1 430 422 |
| Oct 15, 2025 | ₹1,386.00 | ₹1,400.20 | ₹1,385.40 | ₹1,398.40 | 781 065 |
| Oct 14, 2025 | ₹1,385.30 | ₹1,387.30 | ₹1,375.00 | ₹1,384.00 | 203 114 |
| Oct 13, 2025 | ₹1,371.05 | ₹1,385.45 | ₹1,371.05 | ₹1,379.05 | 533 316 |
| Oct 10, 2025 | ₹1,368.90 | ₹1,385.15 | ₹1,368.90 | ₹1,380.65 | 472 687 |
FAQ
What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
How can I use ICICIBANK.BO stock historical prices to predict future price movements?
Trend Analysis: Examine the ICICIBANK.BO stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
Why do the ICICIBANK.BO stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.
How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.
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