Reliance Infrastructure Limited Stock Price (Quote)
₹155.95
-17.30 (-9.99%)
At Close: Jun 04, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹155.95 | ₹179.95 | Tuesday, 4th Jun 2024 RELINFRA.NS stock ended at ₹155.95. This is 9.99% less than the trading day before Monday, 3rd Jun 2024. During the day the stock fluctuated 10.61% from a day low at ₹155.95 to a day high of ₹172.50. |
90 days | ₹155.95 | ₹308.00 | |
52 weeks | ₹131.50 | ₹308.00 |
Historical Reliance Infrastructure Limited prices
Date | Open | High | Low | Close | Volume |
Jul 10, 2023 | ₹139.00 | ₹139.30 | ₹135.05 | ₹135.65 | 1 023 495 |
Jul 07, 2023 | ₹139.00 | ₹140.50 | ₹136.75 | ₹138.60 | 1 937 250 |
Jul 06, 2023 | ₹138.90 | ₹141.40 | ₹137.95 | ₹138.75 | 2 510 720 |
Jul 05, 2023 | ₹137.85 | ₹144.40 | ₹137.25 | ₹138.50 | 4 172 153 |
Jul 04, 2023 | ₹140.50 | ₹141.00 | ₹136.70 | ₹137.10 | 1 896 550 |
Jul 03, 2023 | ₹139.35 | ₹141.60 | ₹137.50 | ₹139.65 | 1 736 945 |
Jun 30, 2023 | ₹140.20 | ₹140.80 | ₹138.00 | ₹138.25 | 899 410 |
Jun 29, 2023 | ₹141.25 | ₹141.25 | ₹141.25 | ₹141.25 | 0 |
Jun 27, 2023 | ₹141.40 | ₹143.25 | ₹140.05 | ₹141.25 | 1 806 082 |
Jun 26, 2023 | ₹144.20 | ₹144.50 | ₹138.85 | ₹140.20 | 2 025 600 |
Jun 23, 2023 | ₹145.60 | ₹145.60 | ₹142.45 | ₹143.25 | 1 338 002 |
Jun 22, 2023 | ₹148.45 | ₹151.30 | ₹143.50 | ₹145.15 | 1 963 039 |
Jun 21, 2023 | ₹147.20 | ₹149.75 | ₹145.55 | ₹147.75 | 2 283 729 |
Jun 20, 2023 | ₹151.85 | ₹152.20 | ₹145.35 | ₹146.50 | 3 076 660 |
Jun 19, 2023 | ₹153.50 | ₹158.00 | ₹150.00 | ₹150.75 | 7 311 841 |
Jun 16, 2023 | ₹150.75 | ₹155.25 | ₹150.70 | ₹151.55 | 5 268 307 |
Jun 15, 2023 | ₹149.85 | ₹153.20 | ₹148.20 | ₹149.45 | 4 462 631 |
Jun 14, 2023 | ₹144.70 | ₹152.50 | ₹143.05 | ₹149.95 | 9 254 449 |
Jun 13, 2023 | ₹140.65 | ₹146.30 | ₹140.25 | ₹143.85 | 4 662 744 |
Jun 12, 2023 | ₹137.70 | ₹141.85 | ₹136.90 | ₹139.40 | 3 493 421 |
Jun 09, 2023 | ₹138.15 | ₹138.75 | ₹135.80 | ₹137.20 | 1 285 038 |
Jun 08, 2023 | ₹136.30 | ₹143.20 | ₹136.10 | ₹137.05 | 3 658 260 |
Jun 07, 2023 | ₹133.55 | ₹139.00 | ₹132.35 | ₹136.05 | 4 038 160 |
Jun 06, 2023 | ₹133.70 | ₹134.10 | ₹131.50 | ₹132.50 | 1 331 637 |
Jun 05, 2023 | ₹135.80 | ₹136.45 | ₹132.20 | ₹132.80 | 1 401 086 |
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 RELINFRA.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the RELINFRA.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 RELINFRA.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.