GTL Infrastructure Limited Stock Price (Quote)
₹1.50
+0 (+0%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹1.45 | ₹1.80 | Friday, 31st May 2024 GTLINFRA.NS stock ended at ₹1.50. During the day the stock fluctuated 3.33% from a day low at ₹1.50 to a day high of ₹1.55. |
90 days | ₹1.45 | ₹2.10 | |
52 weeks | ₹0.700 | ₹2.60 |
Historical GTL Infrastructure Limited prices
Date | Open | High | Low | Close | Volume |
Mar 15, 2023 | ₹0.750 | ₹0.750 | ₹0.700 | ₹0.700 | 23 682 578 |
Mar 14, 2023 | ₹0.80 | ₹0.85 | ₹0.650 | ₹0.750 | 56 094 650 |
Mar 13, 2023 | ₹0.80 | ₹0.85 | ₹0.80 | ₹0.80 | 9 543 192 |
Mar 10, 2023 | ₹0.85 | ₹0.85 | ₹0.80 | ₹0.80 | 9 573 395 |
Mar 09, 2023 | ₹0.85 | ₹0.85 | ₹0.80 | ₹0.85 | 14 657 298 |
Mar 08, 2023 | ₹0.90 | ₹0.90 | ₹0.80 | ₹0.85 | 33 247 439 |
Mar 06, 2023 | ₹0.85 | ₹0.90 | ₹0.85 | ₹0.85 | 10 943 286 |
Mar 03, 2023 | ₹0.85 | ₹0.90 | ₹0.85 | ₹0.85 | 13 169 110 |
Mar 02, 2023 | ₹0.90 | ₹0.90 | ₹0.85 | ₹0.85 | 13 002 636 |
Mar 01, 2023 | ₹0.85 | ₹0.85 | ₹0.85 | ₹0.85 | 9 247 059 |
Feb 28, 2023 | ₹0.85 | ₹0.90 | ₹0.80 | ₹0.85 | 13 390 793 |
Feb 27, 2023 | ₹0.85 | ₹0.90 | ₹0.85 | ₹0.85 | 8 852 098 |
Feb 24, 2023 | ₹0.85 | ₹0.90 | ₹0.85 | ₹0.85 | 6 788 984 |
Feb 23, 2023 | ₹0.90 | ₹0.90 | ₹0.85 | ₹0.85 | 9 287 666 |
Feb 20, 2023 | ₹0.95 | ₹0.95 | ₹0.90 | ₹0.90 | 22 628 835 |
Feb 17, 2023 | ₹0.90 | ₹1.00 | ₹0.90 | ₹0.95 | 19 696 289 |
Feb 16, 2023 | ₹0.95 | ₹1.00 | ₹0.90 | ₹0.95 | 12 093 972 |
Feb 15, 2023 | ₹0.95 | ₹1.00 | ₹0.90 | ₹0.95 | 15 588 105 |
Feb 14, 2023 | ₹0.95 | ₹1.00 | ₹0.90 | ₹0.95 | 21 129 611 |
Feb 13, 2023 | ₹0.95 | ₹1.00 | ₹0.95 | ₹0.95 | 10 789 203 |
Feb 10, 2023 | ₹0.95 | ₹1.00 | ₹0.90 | ₹0.95 | 21 169 078 |
Feb 09, 2023 | ₹0.95 | ₹1.00 | ₹0.95 | ₹0.95 | 10 180 364 |
Feb 08, 2023 | ₹1.00 | ₹1.05 | ₹0.95 | ₹0.95 | 26 318 911 |
Feb 07, 2023 | ₹1.00 | ₹1.05 | ₹0.95 | ₹1.00 | 31 143 998 |
Feb 06, 2023 | ₹1.00 | ₹1.05 | ₹0.95 | ₹1.00 | 14 959 845 |
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 GTLINFRA.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the GTLINFRA.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 GTLINFRA.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.