XBOM:GTLINFRA
GTL Infrastructure Limited Stock Price (Quote)
₹2.84
+0.130 (+4.80%)
At Close: Jun 25, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹1.45 | ₹2.84 | Tuesday, 25th Jun 2024 GTLINFRA.BO stock ended at ₹2.84. This is 4.80% more than the trading day before Monday, 24th Jun 2024. During the day the stock fluctuated 2.90% from a day low at ₹2.76 to a day high of ₹2.84. |
90 days | ₹1.45 | ₹2.84 | |
52 weeks | ₹0.700 | ₹2.84 |
Historical GTL Infrastructure Limited prices
Date | Open | High | Low | Close | Volume |
Jun 25, 2024 | ₹2.79 | ₹2.84 | ₹2.76 | ₹2.84 | 35 087 495 |
Jun 24, 2024 | ₹2.64 | ₹2.71 | ₹2.47 | ₹2.71 | 173 843 797 |
Jun 21, 2024 | ₹2.59 | ₹2.59 | ₹2.59 | ₹2.59 | 31 121 303 |
Jun 20, 2024 | ₹2.45 | ₹2.47 | ₹2.41 | ₹2.47 | 66 997 447 |
Jun 19, 2024 | ₹2.36 | ₹2.36 | ₹2.25 | ₹2.36 | 145 154 886 |
Jun 18, 2024 | ₹2.24 | ₹2.25 | ₹2.24 | ₹2.25 | 24 936 008 |
Jun 14, 2024 | ₹2.08 | ₹2.15 | ₹2.06 | ₹2.15 | 112 243 847 |
Jun 13, 2024 | ₹2.20 | ₹2.24 | ₹2.05 | ₹2.05 | 135 611 545 |
Jun 12, 2024 | ₹2.15 | ₹2.15 | ₹2.11 | ₹2.15 | 50 351 170 |
Jun 11, 2024 | ₹2.04 | ₹2.05 | ₹1.94 | ₹2.05 | 59 700 919 |
Jun 10, 2024 | ₹1.79 | ₹1.87 | ₹1.75 | ₹1.87 | 52 999 674 |
Jun 07, 2024 | ₹1.58 | ₹1.70 | ₹1.56 | ₹1.70 | 75 481 020 |
Jun 06, 2024 | ₹1.51 | ₹1.56 | ₹1.50 | ₹1.55 | 27 079 452 |
Jun 05, 2024 | ₹1.51 | ₹1.52 | ₹1.45 | ₹1.49 | 29 717 621 |
Jun 04, 2024 | ₹1.57 | ₹1.57 | ₹1.50 | ₹1.50 | 20 988 331 |
Jun 03, 2024 | ₹1.57 | ₹1.57 | ₹1.55 | ₹1.57 | 42 386 760 |
May 31, 2024 | ₹1.52 | ₹1.53 | ₹1.50 | ₹1.50 | 15 793 704 |
May 30, 2024 | ₹1.53 | ₹1.54 | ₹1.51 | ₹1.52 | 11 679 547 |
May 29, 2024 | ₹1.51 | ₹1.53 | ₹1.49 | ₹1.52 | 17 503 160 |
May 28, 2024 | ₹1.54 | ₹1.55 | ₹1.50 | ₹1.51 | 13 628 556 |
May 27, 2024 | ₹1.57 | ₹1.57 | ₹1.53 | ₹1.54 | 12 013 478 |
May 24, 2024 | ₹1.55 | ₹1.57 | ₹1.52 | ₹1.54 | 21 065 860 |
May 23, 2024 | ₹1.58 | ₹1.59 | ₹1.53 | ₹1.55 | 30 497 857 |
May 22, 2024 | ₹1.58 | ₹1.59 | ₹1.55 | ₹1.58 | 16 519 414 |
May 21, 2024 | ₹1.58 | ₹1.59 | ₹1.56 | ₹1.59 | 14 212 223 |
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.BO stock historical prices to predict future price movements?
Trend Analysis: Examine the GTLINFRA.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 GTLINFRA.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.