NSE:GICRE
General Insurance Corporation of India Stock Price (Quote)
₹381.80
+2.50 (+0.659%)
At Close: May 23, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹316.50 | ₹387.00 | Thursday, 23rd May 2024 GICRE.NS stock ended at ₹381.80. This is 0.659% more than the trading day before Wednesday, 22nd May 2024. During the day the stock fluctuated 2.60% from a day low at ₹377.20 to a day high of ₹387.00. |
90 days | ₹308.05 | ₹436.70 | |
52 weeks | ₹173.75 | ₹467.80 |
Date | Open | High | Low | Close | Volume |
Nov 22, 2023 | ₹265.00 | ₹272.20 | ₹262.65 | ₹268.80 | 2 595 700 |
Nov 21, 2023 | ₹263.05 | ₹271.80 | ₹259.15 | ₹265.95 | 2 135 462 |
Nov 20, 2023 | ₹258.85 | ₹265.50 | ₹254.25 | ₹263.05 | 2 516 875 |
Nov 17, 2023 | ₹243.00 | ₹260.45 | ₹241.80 | ₹259.00 | 6 071 971 |
Nov 16, 2023 | ₹225.20 | ₹246.90 | ₹224.40 | ₹241.95 | 8 694 754 |
Nov 15, 2023 | ₹225.00 | ₹227.20 | ₹223.70 | ₹224.80 | 244 518 |
Nov 13, 2023 | ₹226.25 | ₹226.70 | ₹223.00 | ₹224.25 | 196 813 |
Nov 10, 2023 | ₹223.00 | ₹227.65 | ₹221.45 | ₹226.50 | 340 477 |
Nov 09, 2023 | ₹229.80 | ₹230.90 | ₹222.05 | ₹224.40 | 408 726 |
Nov 08, 2023 | ₹228.50 | ₹235.10 | ₹226.75 | ₹229.40 | 935 674 |
Nov 07, 2023 | ₹224.00 | ₹228.85 | ₹222.90 | ₹227.60 | 404 658 |
Nov 06, 2023 | ₹227.80 | ₹228.90 | ₹223.50 | ₹223.95 | 308 360 |
Nov 03, 2023 | ₹228.45 | ₹229.65 | ₹225.35 | ₹226.75 | 272 252 |
Nov 02, 2023 | ₹230.15 | ₹230.25 | ₹226.00 | ₹227.35 | 185 725 |
Nov 01, 2023 | ₹227.80 | ₹232.80 | ₹225.00 | ₹228.45 | 708 516 |
Oct 31, 2023 | ₹226.90 | ₹232.90 | ₹225.50 | ₹228.05 | 985 629 |
Oct 30, 2023 | ₹226.75 | ₹227.10 | ₹222.85 | ₹225.80 | 290 400 |
Oct 27, 2023 | ₹220.00 | ₹227.25 | ₹218.90 | ₹225.90 | 419 294 |
Oct 26, 2023 | ₹219.05 | ₹222.85 | ₹212.50 | ₹218.85 | 604 131 |
Oct 25, 2023 | ₹216.90 | ₹223.60 | ₹215.85 | ₹222.20 | 887 074 |
Oct 23, 2023 | ₹225.00 | ₹228.00 | ₹213.70 | ₹215.75 | 989 500 |
Oct 20, 2023 | ₹226.75 | ₹236.50 | ₹223.25 | ₹224.60 | 2 189 848 |
Oct 19, 2023 | ₹222.55 | ₹229.00 | ₹222.10 | ₹226.70 | 508 787 |
Oct 18, 2023 | ₹227.90 | ₹228.60 | ₹221.20 | ₹223.85 | 399 246 |
Oct 17, 2023 | ₹224.90 | ₹233.55 | ₹223.95 | ₹226.90 | 1 173 089 |
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.