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Range Low Price High Price Comment
30 days ₹8.34 ₹13.27 Friday, 17th May 2024 RTNPOWER.BO stock ended at ₹13.27. This is 4.98% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.71% from a day low at ₹12.92 to a day high of ₹13.27.
90 days ₹7.90 ₹13.27
52 weeks ₹3.03 ₹13.27

Historical RattanIndia Power Limited prices

Date Open High Low Close Volume
Nov 10, 2023 ₹8.06 ₹8.53 ₹7.93 ₹8.52 70 789 713
Nov 09, 2023 ₹7.82 ₹8.13 ₹7.75 ₹8.13 18 389 291
Nov 08, 2023 ₹7.83 ₹7.91 ₹7.61 ₹7.75 20 471 993
Nov 07, 2023 ₹7.34 ₹7.62 ₹7.30 ₹7.62 37 544 925
Nov 06, 2023 ₹7.15 ₹7.46 ₹6.90 ₹7.26 25 791 171
Nov 03, 2023 ₹7.02 ₹7.16 ₹6.92 ₹7.11 16 486 043
Nov 02, 2023 ₹7.03 ₹7.05 ₹6.78 ₹6.93 13 301 591
Nov 01, 2023 ₹7.25 ₹7.30 ₹7.04 ₹7.10 10 465 410
Oct 31, 2023 ₹7.23 ₹7.31 ₹6.97 ₹7.18 13 487 199
Oct 30, 2023 ₹7.12 ₹7.33 ₹6.95 ₹7.22 9 949 004
Oct 27, 2023 ₹7.06 ₹7.29 ₹7.05 ₹7.12 10 732 448
Oct 26, 2023 ₹6.78 ₹7.10 ₹6.64 ₹7.03 18 631 056
Oct 25, 2023 ₹6.87 ₹7.23 ₹6.66 ₹6.84 17 955 978
Oct 23, 2023 ₹7.20 ₹7.35 ₹6.97 ₹6.97 13 169 601
Oct 20, 2023 ₹8.05 ₹8.05 ₹7.29 ₹7.33 96 294 516
Oct 19, 2023 ₹7.33 ₹7.67 ₹7.24 ₹7.67 17 743 831
Oct 18, 2023 ₹6.98 ₹7.31 ₹6.98 ₹7.31 49 786 132
Oct 17, 2023 ₹6.88 ₹7.04 ₹6.82 ₹6.97 7 210 935
Oct 16, 2023 ₹6.90 ₹6.90 ₹6.75 ₹6.78 5 861 266
Oct 13, 2023 ₹6.88 ₹6.95 ₹6.79 ₹6.82 5 086 613
Oct 12, 2023 ₹6.92 ₹7.06 ₹6.81 ₹6.87 6 379 172
Oct 11, 2023 ₹6.95 ₹7.14 ₹6.85 ₹6.94 18 114 817
Oct 10, 2023 ₹6.73 ₹6.97 ₹6.70 ₹6.91 12 109 268
Oct 09, 2023 ₹6.84 ₹6.84 ₹6.64 ₹6.65 16 320 899
Oct 06, 2023 ₹7.10 ₹7.13 ₹6.82 ₹6.95 7 024 846

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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