XBOM:GMRINFRA
GMR Infrastructure Limited Stock Price (Quote)
₹88.17
+1.25 (+1.44%)
At Close: May 27, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹77.84 | ₹91.99 | Monday, 27th May 2024 GMRINFRA.BO stock ended at ₹88.17. This is 1.44% more than the trading day before Friday, 24th May 2024. During the day the stock fluctuated 3.07% from a day low at ₹87.05 to a day high of ₹89.72. |
90 days | ₹73.02 | ₹92.34 | |
52 weeks | ₹40.00 | ₹94.30 |
Date | Open | High | Low | Close | Volume |
Nov 20, 2023 | ₹59.19 | ₹59.19 | ₹57.25 | ₹57.67 | 630 501 |
Nov 17, 2023 | ₹58.69 | ₹59.50 | ₹57.55 | ₹58.76 | 606 492 |
Nov 16, 2023 | ₹58.69 | ₹58.69 | ₹57.53 | ₹57.59 | 190 912 |
Nov 15, 2023 | ₹57.99 | ₹58.49 | ₹57.15 | ₹57.89 | 257 680 |
Nov 13, 2023 | ₹58.30 | ₹58.30 | ₹57.00 | ₹57.22 | 792 185 |
Nov 10, 2023 | ₹56.21 | ₹58.40 | ₹55.71 | ₹57.65 | 2 338 983 |
Nov 09, 2023 | ₹56.66 | ₹56.90 | ₹56.10 | ₹56.18 | 400 641 |
Nov 08, 2023 | ₹56.32 | ₹56.99 | ₹56.00 | ₹56.66 | 597 219 |
Nov 07, 2023 | ₹55.82 | ₹56.55 | ₹55.49 | ₹55.91 | 333 989 |
Nov 06, 2023 | ₹56.11 | ₹56.99 | ₹55.91 | ₹56.33 | 273 355 |
Nov 03, 2023 | ₹56.31 | ₹57.09 | ₹55.81 | ₹56.04 | 527 422 |
Nov 02, 2023 | ₹55.03 | ₹56.50 | ₹54.50 | ₹56.01 | 231 427 |
Nov 01, 2023 | ₹54.93 | ₹55.48 | ₹54.10 | ₹54.24 | 142 033 |
Oct 31, 2023 | ₹54.95 | ₹55.70 | ₹54.30 | ₹54.56 | 389 435 |
Oct 30, 2023 | ₹55.24 | ₹55.40 | ₹54.10 | ₹54.75 | 1 539 959 |
Oct 27, 2023 | ₹54.00 | ₹55.09 | ₹53.96 | ₹54.84 | 545 664 |
Oct 26, 2023 | ₹53.76 | ₹53.90 | ₹52.30 | ₹53.44 | 575 519 |
Oct 25, 2023 | ₹54.30 | ₹55.54 | ₹53.30 | ₹54.07 | 296 335 |
Oct 23, 2023 | ₹54.72 | ₹56.09 | ₹54.00 | ₹54.26 | 489 621 |
Oct 20, 2023 | ₹56.49 | ₹56.50 | ₹55.00 | ₹55.87 | 572 993 |
Oct 19, 2023 | ₹57.02 | ₹57.37 | ₹56.00 | ₹56.61 | 1 124 989 |
Oct 18, 2023 | ₹58.25 | ₹58.90 | ₹57.58 | ₹57.85 | 453 892 |
Oct 17, 2023 | ₹59.22 | ₹59.26 | ₹58.50 | ₹58.66 | 174 474 |
Oct 16, 2023 | ₹59.22 | ₹59.40 | ₹58.55 | ₹58.74 | 325 750 |
Oct 13, 2023 | ₹59.22 | ₹60.08 | ₹59.06 | ₹59.31 | 219 036 |
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 GMRINFRA.BO stock historical prices to predict future price movements?
Trend Analysis: Examine the GMRINFRA.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 GMRINFRA.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.