GTL Infrastructure Limited Stock Price (Quote)
₹1.55
+0 (+0%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹1.50 | ₹1.80 | Friday, 17th May 2024 GTLINFRA.NS stock ended at ₹1.55. During the day the stock fluctuated 6.67% from a day low at ₹1.50 to a day high of ₹1.60. |
90 days | ₹1.50 | ₹2.45 | |
52 weeks | ₹0.700 | ₹2.60 |
Date | Open | High | Low | Close | Volume |
Mar 04, 2024 | ₹2.05 | ₹2.10 | ₹2.00 | ₹2.00 | 114 961 114 |
Mar 01, 2024 | ₹2.05 | ₹2.10 | ₹2.00 | ₹2.05 | 178 957 491 |
Feb 29, 2024 | ₹2.15 | ₹2.15 | ₹2.10 | ₹2.10 | 153 611 932 |
Feb 28, 2024 | ₹2.25 | ₹2.30 | ₹2.20 | ₹2.20 | 189 967 352 |
Feb 27, 2024 | ₹2.40 | ₹2.40 | ₹2.30 | ₹2.30 | 102 712 592 |
Feb 26, 2024 | ₹2.40 | ₹2.45 | ₹2.35 | ₹2.40 | 194 409 093 |
Feb 23, 2024 | ₹2.25 | ₹2.35 | ₹2.20 | ₹2.35 | 197 651 602 |
Feb 22, 2024 | ₹2.30 | ₹2.40 | ₹2.25 | ₹2.25 | 189 352 297 |
Feb 21, 2024 | ₹2.35 | ₹2.40 | ₹2.25 | ₹2.35 | 339 732 304 |
Feb 20, 2024 | ₹2.25 | ₹2.30 | ₹2.20 | ₹2.30 | 115 232 708 |
Feb 19, 2024 | ₹2.00 | ₹2.20 | ₹2.00 | ₹2.20 | 409 980 206 |
Feb 16, 2024 | ₹2.20 | ₹2.20 | ₹2.10 | ₹2.10 | 144 246 355 |
Feb 15, 2024 | ₹2.30 | ₹2.30 | ₹2.20 | ₹2.20 | 297 101 807 |
Feb 14, 2024 | ₹2.30 | ₹2.30 | ₹2.30 | ₹2.30 | 36 319 061 |
Feb 13, 2024 | ₹2.60 | ₹2.60 | ₹2.40 | ₹2.40 | 396 708 448 |
Feb 12, 2024 | ₹2.50 | ₹2.50 | ₹2.50 | ₹2.50 | 31 207 095 |
Feb 09, 2024 | ₹2.40 | ₹2.40 | ₹2.20 | ₹2.40 | 490 184 278 |
Feb 08, 2024 | ₹2.30 | ₹2.30 | ₹2.15 | ₹2.30 | 334 355 595 |
Feb 07, 2024 | ₹2.20 | ₹2.20 | ₹2.20 | ₹2.20 | 11 378 903 |
Feb 06, 2024 | ₹2.10 | ₹2.10 | ₹2.10 | ₹2.10 | 11 072 981 |
Feb 05, 2024 | ₹2.00 | ₹2.00 | ₹2.00 | ₹2.00 | 11 043 142 |
Feb 02, 2024 | ₹1.95 | ₹1.95 | ₹1.95 | ₹1.95 | 13 507 230 |
Feb 01, 2024 | ₹1.90 | ₹1.90 | ₹1.85 | ₹1.90 | 154 915 179 |
Jan 31, 2024 | ₹1.80 | ₹1.85 | ₹1.75 | ₹1.85 | 74 737 719 |
Jan 30, 2024 | ₹1.80 | ₹1.80 | ₹1.75 | ₹1.80 | 149 443 044 |
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.