Genus Power Infrastructures Limited Stock Price (Quote)
₹317.70
+0 (+0%)
At Close: May 30, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹261.60 | ₹338.00 | Thursday, 30th May 2024 GENUSPOWER.NS stock ended at ₹317.70. During the day the stock fluctuated 0% from a day low at ₹317.70 to a day high of ₹317.70. |
90 days | ₹204.50 | ₹338.00 | |
52 weeks | ₹90.70 | ₹343.95 |
Historical Genus Power Infrastructures Limited prices
Date | Open | High | Low | Close | Volume |
May 30, 2024 | ₹317.70 | ₹317.70 | ₹317.70 | ₹317.70 | 0 |
May 29, 2024 | ₹324.00 | ₹336.90 | ₹313.15 | ₹317.70 | 1 409 772 |
May 28, 2024 | ₹328.85 | ₹333.00 | ₹321.85 | ₹329.25 | 2 458 505 |
May 27, 2024 | ₹328.85 | ₹338.00 | ₹321.00 | ₹328.85 | 438 280 |
May 24, 2024 | ₹328.95 | ₹332.75 | ₹320.05 | ₹324.70 | 656 798 |
May 23, 2024 | ₹329.90 | ₹329.90 | ₹315.05 | ₹326.80 | 474 944 |
May 22, 2024 | ₹318.20 | ₹326.20 | ₹311.10 | ₹322.40 | 580 158 |
May 21, 2024 | ₹329.00 | ₹336.60 | ₹310.00 | ₹316.55 | 926 897 |
May 20, 2024 | ₹314.10 | ₹314.10 | ₹314.10 | ₹314.10 | 0 |
May 17, 2024 | ₹312.00 | ₹323.70 | ₹306.10 | ₹314.10 | 935 201 |
May 16, 2024 | ₹309.40 | ₹311.90 | ₹304.10 | ₹311.90 | 1 333 040 |
May 15, 2024 | ₹289.00 | ₹297.05 | ₹288.65 | ₹297.05 | 623 405 |
May 14, 2024 | ₹271.70 | ₹282.95 | ₹271.70 | ₹282.95 | 184 025 |
May 13, 2024 | ₹275.60 | ₹278.70 | ₹261.60 | ₹269.50 | 794 933 |
May 10, 2024 | ₹275.45 | ₹277.30 | ₹268.90 | ₹273.70 | 271 810 |
May 09, 2024 | ₹289.00 | ₹291.20 | ₹275.35 | ₹275.35 | 399 050 |
May 08, 2024 | ₹288.00 | ₹293.55 | ₹284.00 | ₹289.80 | 264 136 |
May 07, 2024 | ₹299.05 | ₹304.80 | ₹284.10 | ₹287.15 | 533 617 |
May 06, 2024 | ₹302.70 | ₹310.00 | ₹292.50 | ₹299.05 | 838 397 |
May 03, 2024 | ₹306.85 | ₹307.80 | ₹295.50 | ₹300.20 | 353 828 |
May 02, 2024 | ₹300.00 | ₹309.50 | ₹300.00 | ₹304.65 | 500 187 |
May 01, 2024 | ₹298.05 | ₹298.05 | ₹298.05 | ₹298.05 | 0 |
Apr 30, 2024 | ₹304.50 | ₹309.25 | ₹295.40 | ₹298.05 | 387 846 |
Apr 29, 2024 | ₹304.80 | ₹310.65 | ₹300.00 | ₹303.20 | 405 767 |
Apr 26, 2024 | ₹305.05 | ₹314.00 | ₹300.00 | ₹302.85 | 308 319 |
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 GENUSPOWER.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the GENUSPOWER.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 GENUSPOWER.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.