Range Low Price High Price Comment
30 days ₹8.70 ₹15.24 Friday, 24th May 2024 RTNPOWER.BO stock ended at ₹15.24. This is 4.96% more than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 2.28% from a day low at ₹14.90 to a day high of ₹15.24.
90 days ₹7.90 ₹15.24
52 weeks ₹3.06 ₹15.24

Historical RattanIndia Power Limited prices

Date Open High Low Close Volume
Jun 23, 2023 ₹4.80 ₹5.06 ₹4.35 ₹4.68 36 546 254
Jun 22, 2023 ₹4.00 ₹4.81 ₹3.96 ₹4.65 16 579 203
Jun 21, 2023 ₹4.06 ₹4.14 ₹3.99 ₹4.01 3 774 672
Jun 20, 2023 ₹4.13 ₹4.15 ₹3.96 ₹4.06 3 830 802
Jun 19, 2023 ₹4.23 ₹4.30 ₹4.09 ₹4.11 3 643 182
Jun 16, 2023 ₹4.20 ₹4.29 ₹4.11 ₹4.18 7 553 303
Jun 15, 2023 ₹4.11 ₹4.22 ₹4.05 ₹4.16 5 219 410
Jun 14, 2023 ₹4.30 ₹4.30 ₹4.10 ₹4.12 4 938 862
Jun 13, 2023 ₹4.18 ₹4.35 ₹4.15 ₹4.25 7 817 575
Jun 12, 2023 ₹4.02 ₹4.15 ₹3.97 ₹4.13 5 224 967
Jun 09, 2023 ₹4.08 ₹4.12 ₹3.96 ₹3.99 5 142 135
Jun 08, 2023 ₹4.20 ₹4.35 ₹3.92 ₹4.07 19 127 290
Jun 07, 2023 ₹3.39 ₹4.00 ₹3.39 ₹4.00 15 110 036
Jun 06, 2023 ₹3.46 ₹3.51 ₹3.31 ₹3.34 3 512 351
Jun 05, 2023 ₹3.47 ₹3.53 ₹3.45 ₹3.47 3 015 932
Jun 02, 2023 ₹3.44 ₹3.55 ₹3.41 ₹3.46 3 956 522
Jun 01, 2023 ₹3.33 ₹3.55 ₹3.33 ₹3.46 4 118 709
May 31, 2023 ₹3.18 ₹3.38 ₹3.17 ₹3.34 4 062 703
May 30, 2023 ₹3.16 ₹3.20 ₹3.12 ₹3.18 2 553 614
May 29, 2023 ₹3.12 ₹3.19 ₹3.12 ₹3.16 2 491 124
May 26, 2023 ₹3.17 ₹3.20 ₹3.06 ₹3.13 2 153 920
May 25, 2023 ₹3.19 ₹3.19 ₹3.11 ₹3.16 2 619 551
May 24, 2023 ₹3.11 ₹3.33 ₹3.11 ₹3.16 2 751 207
May 23, 2023 ₹3.03 ₹3.17 ₹3.03 ₹3.13 3 173 741
May 22, 2023 ₹3.07 ₹3.10 ₹3.05 ₹3.07 1 234 572

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 RTNPOWER.BO stock historical prices to predict future price movements?
Trend Analysis: Examine the RTNPOWER.BO 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 RTNPOWER.BO 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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