NSE:RPOWER
Reliance Power Limited Stock Price (Quote)
₹31.32
+0.240 (+0.772%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹23.30 | ₹33.11 | Friday, 14th Jun 2024 RPOWER.NS stock ended at ₹31.32. This is 0.772% more than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 6.96% from a day low at ₹30.30 to a day high of ₹32.41. |
90 days | ₹22.45 | ₹34.45 | |
52 weeks | ₹13.80 | ₹34.45 |
Historical Reliance Power Limited prices
Date | Open | High | Low | Close | Volume |
Mar 12, 2019 | ₹12.05 | ₹12.30 | ₹11.80 | ₹11.90 | 41 767 095 |
Mar 11, 2019 | ₹11.85 | ₹12.35 | ₹11.65 | ₹11.95 | 48 185 035 |
Mar 08, 2019 | ₹12.35 | ₹12.55 | ₹11.85 | ₹11.95 | 56 752 343 |
Mar 07, 2019 | ₹12.55 | ₹12.70 | ₹12.20 | ₹12.35 | 52 819 188 |
Mar 06, 2019 | ₹12.85 | ₹13.20 | ₹12.10 | ₹12.45 | 93 611 460 |
Mar 05, 2019 | ₹12.55 | ₹13.25 | ₹12.35 | ₹12.75 | 112 484 244 |
Mar 01, 2019 | ₹10.80 | ₹12.55 | ₹10.80 | ₹12.35 | 181 501 193 |
Feb 28, 2019 | ₹10.65 | ₹11.00 | ₹10.55 | ₹10.75 | 52 941 191 |
Feb 27, 2019 | ₹10.90 | ₹11.15 | ₹10.30 | ₹10.50 | 45 576 247 |
Feb 26, 2019 | ₹10.85 | ₹11.00 | ₹10.40 | ₹10.80 | 48 238 885 |
Feb 25, 2019 | ₹11.55 | ₹11.75 | ₹10.95 | ₹11.05 | 39 123 929 |
Feb 22, 2019 | ₹11.25 | ₹11.90 | ₹11.10 | ₹11.40 | 76 794 124 |
Feb 21, 2019 | ₹10.85 | ₹11.35 | ₹10.50 | ₹11.20 | 61 955 364 |
Feb 20, 2019 | ₹11.05 | ₹11.15 | ₹10.25 | ₹10.75 | 60 434 670 |
Feb 19, 2019 | ₹11.55 | ₹11.65 | ₹10.70 | ₹10.80 | 65 983 040 |
Feb 18, 2019 | ₹11.20 | ₹12.20 | ₹11.05 | ₹11.35 | 80 682 460 |
Feb 15, 2019 | ₹10.55 | ₹10.70 | ₹10.00 | ₹10.20 | 32 434 913 |
Feb 14, 2019 | ₹10.35 | ₹11.20 | ₹10.10 | ₹10.65 | 44 400 917 |
Feb 12, 2019 | ₹11.00 | ₹11.10 | ₹10.60 | ₹10.75 | 52 397 665 |
Feb 11, 2019 | ₹11.80 | ₹11.80 | ₹10.75 | ₹11.05 | 57 877 825 |
Feb 08, 2019 | ₹9.90 | ₹11.70 | ₹9.65 | ₹10.90 | 160 315 430 |
Feb 07, 2019 | ₹13.10 | ₹13.35 | ₹9.10 | ₹10.00 | 283 770 262 |
Feb 06, 2019 | ₹12.00 | ₹13.60 | ₹10.20 | ₹12.75 | 197 150 927 |
Feb 05, 2019 | ₹16.85 | ₹17.60 | ₹11.70 | ₹12.00 | 209 001 837 |
Feb 04, 2019 | ₹24.95 | ₹25.20 | ₹16.55 | ₹17.20 | 86 170 048 |
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 RPOWER.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the RPOWER.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 RPOWER.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.