GAIL (India) Limited Stock Price (Quote)
₹221.83
+2.00 (+0.91%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹173.50 | ₹233.20 | Friday, 14th Jun 2024 GAIL.NS stock ended at ₹221.83. This is 0.91% more than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 2.92% from a day low at ₹219.11 to a day high of ₹225.50. |
90 days | ₹168.70 | ₹233.20 | |
52 weeks | ₹103.30 | ₹233.20 |
Historical GAIL (India) Limited prices
Date | Open | High | Low | Close | Volume |
Jun 14, 2023 | ₹107.55 | ₹108.00 | ₹107.00 | ₹107.20 | 6 928 513 |
Jun 13, 2023 | ₹105.95 | ₹107.15 | ₹105.30 | ₹107.05 | 11 657 116 |
Jun 12, 2023 | ₹105.00 | ₹105.95 | ₹104.55 | ₹105.20 | 7 075 960 |
Jun 09, 2023 | ₹104.80 | ₹106.00 | ₹104.25 | ₹104.90 | 5 446 168 |
Jun 08, 2023 | ₹105.95 | ₹106.00 | ₹104.60 | ₹104.75 | 7 433 385 |
Jun 07, 2023 | ₹105.00 | ₹106.00 | ₹104.50 | ₹105.60 | 8 670 271 |
Jun 06, 2023 | ₹104.80 | ₹105.20 | ₹104.30 | ₹104.70 | 5 391 427 |
Jun 05, 2023 | ₹105.00 | ₹105.20 | ₹104.10 | ₹104.45 | 5 281 951 |
Jun 02, 2023 | ₹105.80 | ₹106.15 | ₹104.40 | ₹104.60 | 9 620 795 |
Jun 01, 2023 | ₹104.45 | ₹105.85 | ₹103.50 | ₹105.35 | 9 463 964 |
May 31, 2023 | ₹105.90 | ₹105.95 | ₹104.50 | ₹104.80 | 10 171 419 |
May 30, 2023 | ₹106.30 | ₹106.55 | ₹105.20 | ₹105.95 | 7 202 902 |
May 29, 2023 | ₹106.90 | ₹106.90 | ₹105.60 | ₹106.25 | 8 053 701 |
May 26, 2023 | ₹108.00 | ₹109.00 | ₹106.10 | ₹106.35 | 6 931 894 |
May 25, 2023 | ₹107.75 | ₹108.20 | ₹107.30 | ₹107.80 | 4 718 049 |
May 24, 2023 | ₹107.35 | ₹108.20 | ₹106.80 | ₹107.70 | 6 363 259 |
May 23, 2023 | ₹106.80 | ₹108.50 | ₹106.00 | ₹107.50 | 8 708 967 |
May 22, 2023 | ₹105.00 | ₹106.90 | ₹104.20 | ₹106.35 | 11 337 389 |
May 19, 2023 | ₹104.80 | ₹105.70 | ₹102.95 | ₹104.85 | 15 961 886 |
May 18, 2023 | ₹110.65 | ₹110.85 | ₹104.80 | ₹106.20 | 24 707 752 |
May 17, 2023 | ₹112.35 | ₹112.50 | ₹109.65 | ₹110.00 | 5 631 732 |
May 16, 2023 | ₹112.85 | ₹113.95 | ₹111.50 | ₹111.70 | 18 936 250 |
May 15, 2023 | ₹108.00 | ₹111.95 | ₹108.00 | ₹111.75 | 10 709 310 |
May 12, 2023 | ₹109.00 | ₹109.35 | ₹107.55 | ₹108.05 | 5 177 088 |
May 11, 2023 | ₹109.85 | ₹110.20 | ₹108.55 | ₹109.35 | 7 782 844 |
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 GAIL.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the GAIL.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 GAIL.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.