Petronet LNG Limited Stock Price (Quote)
₹297.35
+3.50 (+1.19%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹291.40 | ₹323.15 | Friday, 31st May 2024 PETRONET.NS stock ended at ₹297.35. This is 1.19% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 2.47% from a day low at ₹291.60 to a day high of ₹298.80. |
90 days | ₹256.30 | ₹323.15 | |
52 weeks | ₹191.70 | ₹323.15 |
Historical Petronet LNG Limited prices
Date | Open | High | Low | Close | Volume |
Apr 26, 2024 | ₹304.40 | ₹312.00 | ₹303.80 | ₹308.65 | 8 712 103 |
Apr 25, 2024 | ₹299.95 | ₹303.80 | ₹297.80 | ₹302.60 | 6 373 938 |
Apr 24, 2024 | ₹296.00 | ₹302.45 | ₹291.20 | ₹298.95 | 9 962 747 |
Apr 23, 2024 | ₹299.40 | ₹300.95 | ₹294.40 | ₹295.40 | 6 523 252 |
Apr 22, 2024 | ₹303.05 | ₹305.35 | ₹295.65 | ₹297.95 | 6 661 015 |
Apr 19, 2024 | ₹297.00 | ₹304.00 | ₹294.35 | ₹300.15 | 6 303 376 |
Apr 18, 2024 | ₹310.00 | ₹318.75 | ₹299.50 | ₹302.00 | 11 454 055 |
Apr 16, 2024 | ₹300.10 | ₹313.65 | ₹299.50 | ₹308.00 | 13 836 213 |
Apr 15, 2024 | ₹300.30 | ₹311.90 | ₹295.25 | ₹305.00 | 11 929 316 |
Apr 12, 2024 | ₹303.00 | ₹315.20 | ₹302.90 | ₹305.45 | 18 904 600 |
Apr 11, 2024 | ₹288.55 | ₹288.55 | ₹288.55 | ₹288.55 | 0 |
Apr 10, 2024 | ₹290.00 | ₹309.00 | ₹288.65 | ₹302.50 | 33 103 724 |
Apr 09, 2024 | ₹282.90 | ₹290.20 | ₹280.50 | ₹288.55 | 6 244 147 |
Apr 08, 2024 | ₹278.00 | ₹283.40 | ₹277.20 | ₹281.00 | 3 331 492 |
Apr 05, 2024 | ₹276.80 | ₹278.95 | ₹272.80 | ₹277.65 | 3 367 042 |
Apr 04, 2024 | ₹284.05 | ₹285.90 | ₹273.00 | ₹275.75 | 5 735 894 |
Apr 03, 2024 | ₹273.50 | ₹287.65 | ₹272.60 | ₹282.85 | 11 246 968 |
Apr 02, 2024 | ₹267.40 | ₹273.50 | ₹265.90 | ₹272.80 | 4 197 807 |
Apr 01, 2024 | ₹263.55 | ₹269.05 | ₹262.20 | ₹265.40 | 4 212 587 |
Mar 28, 2024 | ₹264.50 | ₹268.40 | ₹261.05 | ₹263.20 | 4 259 688 |
Mar 27, 2024 | ₹266.70 | ₹269.90 | ₹263.05 | ₹263.75 | 2 942 541 |
Mar 26, 2024 | ₹259.35 | ₹268.80 | ₹257.75 | ₹265.55 | 8 771 737 |
Mar 22, 2024 | ₹258.65 | ₹261.25 | ₹256.30 | ₹259.35 | 4 162 319 |
Mar 21, 2024 | ₹261.05 | ₹263.65 | ₹257.35 | ₹258.65 | 5 190 850 |
Mar 20, 2024 | ₹263.80 | ₹264.30 | ₹257.70 | ₹261.75 | 2 357 914 |
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 PETRONET.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the PETRONET.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 PETRONET.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.