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 |
Dec 28, 2018 | ₹28.60 | ₹30.10 | ₹28.55 | ₹29.10 | 17 430 176 |
Dec 27, 2018 | ₹27.85 | ₹28.90 | ₹27.70 | ₹28.45 | 13 382 122 |
Dec 26, 2018 | ₹27.75 | ₹27.85 | ₹26.75 | ₹27.65 | 9 718 982 |
Dec 24, 2018 | ₹28.20 | ₹28.50 | ₹27.50 | ₹27.65 | 12 093 058 |
Dec 21, 2018 | ₹28.40 | ₹28.40 | ₹27.70 | ₹28.05 | 10 085 763 |
Dec 20, 2018 | ₹28.10 | ₹28.15 | ₹27.50 | ₹28.00 | 8 920 833 |
Dec 19, 2018 | ₹28.15 | ₹29.05 | ₹28.05 | ₹28.20 | 15 967 573 |
Dec 18, 2018 | ₹28.05 | ₹28.35 | ₹27.90 | ₹28.10 | 9 503 060 |
Dec 17, 2018 | ₹28.20 | ₹28.35 | ₹27.85 | ₹28.05 | 7 416 699 |
Dec 14, 2018 | ₹28.00 | ₹29.05 | ₹27.80 | ₹28.05 | 14 189 939 |
Dec 13, 2018 | ₹27.95 | ₹28.50 | ₹27.70 | ₹28.05 | 9 605 300 |
Dec 12, 2018 | ₹27.35 | ₹28.10 | ₹26.95 | ₹27.65 | 10 141 805 |
Dec 11, 2018 | ₹25.85 | ₹27.30 | ₹25.85 | ₹26.95 | 11 239 076 |
Dec 10, 2018 | ₹26.80 | ₹27.40 | ₹26.70 | ₹26.75 | 6 396 214 |
Dec 07, 2018 | ₹28.00 | ₹28.05 | ₹26.90 | ₹27.75 | 9 750 758 |
Dec 06, 2018 | ₹29.00 | ₹29.05 | ₹27.55 | ₹27.70 | 11 298 200 |
Dec 05, 2018 | ₹29.80 | ₹30.65 | ₹28.90 | ₹29.15 | 11 817 082 |
Dec 04, 2018 | ₹30.25 | ₹30.50 | ₹29.70 | ₹29.95 | 8 924 043 |
Dec 03, 2018 | ₹29.50 | ₹31.55 | ₹29.15 | ₹30.10 | 16 647 600 |
Nov 30, 2018 | ₹29.40 | ₹30.30 | ₹28.90 | ₹29.15 | 11 338 887 |
Nov 29, 2018 | ₹29.95 | ₹30.05 | ₹29.00 | ₹29.30 | 6 969 977 |
Nov 28, 2018 | ₹30.30 | ₹30.45 | ₹29.65 | ₹29.90 | 6 269 275 |
Nov 27, 2018 | ₹30.15 | ₹30.45 | ₹29.55 | ₹30.20 | 5 957 926 |
Nov 26, 2018 | ₹31.20 | ₹31.45 | ₹29.85 | ₹30.10 | 7 432 868 |
Nov 22, 2018 | ₹31.05 | ₹31.95 | ₹31.00 | ₹31.15 | 6 365 888 |
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.