NSE:GICRE
General Insurance Corporation of India Stock Price (Quote)
₹360.65
+15.50 (+4.49%)
At Close: Jun 06, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹316.50 | ₹387.00 | Thursday, 6th Jun 2024 GICRE.NS stock ended at ₹360.65. This is 4.49% more than the trading day before Wednesday, 5th Jun 2024. During the day the stock fluctuated 6.09% from a day low at ₹350.00 to a day high of ₹371.30. |
90 days | ₹308.05 | ₹387.00 | |
52 weeks | ₹178.55 | ₹467.80 |
Historical General Insurance Corporation of India prices
Date | Open | High | Low | Close | Volume |
Jan 12, 2024 | ₹304.40 | ₹306.80 | ₹302.80 | ₹305.45 | 482 302 |
Jan 11, 2024 | ₹305.00 | ₹308.20 | ₹302.10 | ₹303.70 | 411 314 |
Jan 10, 2024 | ₹309.55 | ₹310.65 | ₹303.70 | ₹304.75 | 619 967 |
Jan 09, 2024 | ₹313.75 | ₹314.95 | ₹308.05 | ₹309.90 | 541 279 |
Jan 08, 2024 | ₹314.90 | ₹315.65 | ₹308.65 | ₹311.10 | 643 187 |
Jan 05, 2024 | ₹319.00 | ₹323.00 | ₹311.05 | ₹314.25 | 1 155 787 |
Jan 04, 2024 | ₹311.65 | ₹324.80 | ₹311.45 | ₹316.60 | 2 843 222 |
Jan 03, 2024 | ₹309.60 | ₹314.10 | ₹307.25 | ₹310.65 | 906 867 |
Jan 02, 2024 | ₹311.95 | ₹315.90 | ₹307.30 | ₹309.60 | 658 818 |
Jan 01, 2024 | ₹308.95 | ₹315.90 | ₹307.05 | ₹311.95 | 835 624 |
Dec 29, 2023 | ₹314.70 | ₹316.90 | ₹307.05 | ₹308.05 | 776 259 |
Dec 28, 2023 | ₹314.25 | ₹318.00 | ₹311.00 | ₹313.95 | 822 482 |
Dec 27, 2023 | ₹313.95 | ₹323.50 | ₹310.50 | ₹313.70 | 960 280 |
Dec 26, 2023 | ₹315.00 | ₹316.45 | ₹311.05 | ₹312.35 | 388 113 |
Dec 22, 2023 | ₹311.70 | ₹319.00 | ₹307.00 | ₹314.15 | 1 405 986 |
Dec 21, 2023 | ₹302.85 | ₹312.00 | ₹295.55 | ₹310.60 | 1 171 044 |
Dec 20, 2023 | ₹325.35 | ₹337.75 | ₹301.05 | ₹305.50 | 2 950 041 |
Dec 19, 2023 | ₹323.00 | ₹334.95 | ₹320.35 | ₹323.05 | 3 023 532 |
Dec 18, 2023 | ₹318.30 | ₹324.60 | ₹317.05 | ₹319.60 | 1 537 813 |
Dec 15, 2023 | ₹317.00 | ₹325.95 | ₹311.90 | ₹318.30 | 1 864 314 |
Dec 14, 2023 | ₹315.90 | ₹317.00 | ₹309.30 | ₹313.00 | 881 014 |
Dec 13, 2023 | ₹315.85 | ₹317.75 | ₹308.55 | ₹312.45 | 1 823 636 |
Dec 12, 2023 | ₹309.00 | ₹335.40 | ₹309.00 | ₹312.40 | 10 909 661 |
Dec 11, 2023 | ₹305.90 | ₹312.30 | ₹302.50 | ₹304.95 | 830 147 |
Dec 08, 2023 | ₹311.95 | ₹312.85 | ₹300.25 | ₹304.30 | 1 036 810 |
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 GICRE.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the GICRE.NS 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 GICRE.NS 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.