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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
Jul 04, 2019 ₹4.35 ₹4.40 ₹4.25 ₹4.30 11 550 120
Jul 03, 2019 ₹4.40 ₹4.50 ₹4.35 ₹4.35 10 930 479
Jul 02, 2019 ₹4.25 ₹4.55 ₹4.15 ₹4.35 22 659 685
Jul 01, 2019 ₹4.20 ₹4.25 ₹4.00 ₹4.20 19 075 710
Jun 28, 2019 ₹4.40 ₹4.50 ₹4.05 ₹4.15 36 977 691
Jun 27, 2019 ₹4.50 ₹4.75 ₹4.30 ₹4.35 94 367 635
Jun 26, 2019 ₹3.95 ₹4.65 ₹3.95 ₹4.45 105 695 676
Jun 25, 2019 ₹4.65 ₹4.70 ₹3.95 ₹4.00 119 433 248
Jun 24, 2019 ₹5.40 ₹5.70 ₹4.55 ₹4.60 93 057 042
Jun 21, 2019 ₹5.30 ₹5.70 ₹5.00 ₹5.45 82 777 529
Jun 20, 2019 ₹4.15 ₹5.45 ₹4.05 ₹5.25 91 698 344
Jun 19, 2019 ₹4.65 ₹4.70 ₹3.95 ₹4.20 94 090 500
Jun 18, 2019 ₹5.25 ₹5.40 ₹4.35 ₹4.55 84 837 402
Jun 17, 2019 ₹5.20 ₹5.40 ₹5.05 ₹5.30 43 397 723
Jun 14, 2019 ₹5.55 ₹5.80 ₹5.35 ₹5.40 37 434 640
Jun 13, 2019 ₹5.95 ₹5.95 ₹5.40 ₹5.60 68 954 451
Jun 12, 2019 ₹6.10 ₹6.25 ₹5.75 ₹6.00 58 437 340
Jun 11, 2019 ₹5.60 ₹6.10 ₹5.30 ₹5.95 91 048 248
Jun 10, 2019 ₹5.55 ₹6.05 ₹4.85 ₹5.75 180 723 923
Jun 07, 2019 ₹6.70 ₹6.70 ₹5.95 ₹6.15 97 785 958
Jun 06, 2019 ₹7.05 ₹7.10 ₹6.50 ₹6.60 63 971 168
Jun 04, 2019 ₹7.30 ₹7.45 ₹6.95 ₹7.00 51 195 744
Jun 03, 2019 ₹7.45 ₹7.85 ₹7.20 ₹7.30 78 390 491
May 31, 2019 ₹7.45 ₹7.60 ₹6.90 ₹7.45 75 261 908
May 30, 2019 ₹7.70 ₹7.80 ₹7.10 ₹7.40 59 818 496

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.

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.

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.

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.
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About Reliance Power Limited

Reliance Power Limited Reliance Power Limited, together with its subsidiaries, engages in the generation of power in India. Its portfolio of power projects is based on coal, gas, hydro, wind, and solar energy. The company has an operational power generation capacity of 399 GW. It owns and operates 1,200 MW Rosa power plant in Uttar Pradesh; Sasan ultra mega power plant with capacity of 3,960 MW in Madhya Pradesh; Vashpet power plant with capacity of 45 MW in Maharashtr... RPOWER.NS Profile

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