NSE:INDIGO
InterGlobe Aviation Limited Stock Price (Quote)
₹4,189.05
+26.85 (+0.645%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹3,915.55 | ₹4,529.00 | Friday, 31st May 2024 INDIGO.NS stock ended at ₹4,189.05. This is 0.645% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 2.71% from a day low at ₹4,106.40 to a day high of ₹4,217.80. |
90 days | ₹3,020.00 | ₹4,529.00 | |
52 weeks | ₹2,331.10 | ₹4,529.00 |
Historical InterGlobe Aviation Limited prices
Date | Open | High | Low | Close | Volume |
Jan 08, 2024 | ₹2,970.00 | ₹2,991.95 | ₹2,942.75 | ₹2,952.25 | 451 345 |
Jan 05, 2024 | ₹3,008.40 | ₹3,025.00 | ₹2,945.55 | ₹2,954.95 | 715 065 |
Jan 04, 2024 | ₹2,995.05 | ₹3,005.75 | ₹2,966.00 | ₹2,995.85 | 416 911 |
Jan 03, 2024 | ₹2,933.90 | ₹3,000.00 | ₹2,929.35 | ₹2,990.45 | 655 709 |
Jan 02, 2024 | ₹2,980.00 | ₹2,989.90 | ₹2,918.60 | ₹2,925.70 | 439 868 |
Jan 01, 2024 | ₹3,000.00 | ₹3,049.95 | ₹2,970.00 | ₹2,978.50 | 615 497 |
Dec 29, 2023 | ₹2,935.10 | ₹2,975.00 | ₹2,925.10 | ₹2,967.10 | 501 233 |
Dec 28, 2023 | ₹2,941.00 | ₹2,947.95 | ₹2,900.60 | ₹2,927.00 | 1 094 475 |
Dec 27, 2023 | ₹2,930.00 | ₹2,948.20 | ₹2,913.65 | ₹2,927.50 | 516 480 |
Dec 26, 2023 | ₹2,881.00 | ₹2,938.30 | ₹2,864.00 | ₹2,921.10 | 707 097 |
Dec 22, 2023 | ₹2,900.00 | ₹2,913.40 | ₹2,847.35 | ₹2,871.40 | 534 098 |
Dec 21, 2023 | ₹2,848.40 | ₹2,894.95 | ₹2,819.55 | ₹2,882.70 | 575 298 |
Dec 20, 2023 | ₹3,000.00 | ₹3,009.00 | ₹2,844.70 | ₹2,859.35 | 1 057 316 |
Dec 19, 2023 | ₹2,974.00 | ₹3,006.90 | ₹2,946.65 | ₹2,984.65 | 555 092 |
Dec 18, 2023 | ₹2,927.00 | ₹2,980.00 | ₹2,911.50 | ₹2,975.55 | 539 115 |
Dec 15, 2023 | ₹2,985.00 | ₹2,990.00 | ₹2,902.15 | ₹2,914.40 | 1 958 639 |
Dec 14, 2023 | ₹3,000.00 | ₹3,003.20 | ₹2,957.00 | ₹2,980.20 | 679 501 |
Dec 13, 2023 | ₹2,963.95 | ₹3,007.00 | ₹2,953.00 | ₹2,981.15 | 1 415 310 |
Dec 12, 2023 | ₹2,930.00 | ₹2,951.95 | ₹2,901.00 | ₹2,926.45 | 651 347 |
Dec 11, 2023 | ₹2,917.00 | ₹2,954.45 | ₹2,898.00 | ₹2,925.55 | 779 909 |
Dec 08, 2023 | ₹2,900.00 | ₹2,938.80 | ₹2,873.65 | ₹2,897.95 | 818 592 |
Dec 07, 2023 | ₹2,900.55 | ₹2,966.00 | ₹2,870.00 | ₹2,878.35 | 1 133 275 |
Dec 06, 2023 | ₹2,877.00 | ₹2,890.95 | ₹2,830.00 | ₹2,872.15 | 573 872 |
Dec 05, 2023 | ₹2,825.00 | ₹2,858.95 | ₹2,783.00 | ₹2,836.10 | 465 458 |
Dec 04, 2023 | ₹2,795.00 | ₹2,859.90 | ₹2,780.80 | ₹2,820.25 | 664 255 |
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 INDIGO.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the INDIGO.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 INDIGO.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.