NSE:JPPOWER
Jaiprakash Power Ventures Limited Stock Price (Quote)
₹19.40
-0.650 (-3.24%)
At Close: May 28, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹17.55 | ₹21.10 | Tuesday, 28th May 2024 JPPOWER.NS stock ended at ₹19.40. This is 3.24% less than the trading day before Monday, 27th May 2024. During the day the stock fluctuated 5.74% from a day low at ₹19.15 to a day high of ₹20.25. |
90 days | ₹14.35 | ₹21.10 | |
52 weeks | ₹5.60 | ₹24.00 |
Historical Jaiprakash Power Ventures Limited prices
Date | Open | High | Low | Close | Volume |
Feb 07, 2024 | ₹21.75 | ₹21.85 | ₹21.65 | ₹21.85 | 101 356 074 |
Feb 06, 2024 | ₹20.80 | ₹20.85 | ₹20.40 | ₹20.85 | 115 212 639 |
Feb 05, 2024 | ₹19.40 | ₹19.95 | ₹19.35 | ₹19.90 | 144 441 121 |
Feb 02, 2024 | ₹18.50 | ₹19.05 | ₹18.40 | ₹19.00 | 114 011 735 |
Feb 01, 2024 | ₹18.65 | ₹19.20 | ₹17.85 | ₹18.15 | 181 943 019 |
Jan 31, 2024 | ₹18.55 | ₹18.55 | ₹17.45 | ₹18.55 | 247 735 903 |
Jan 30, 2024 | ₹17.70 | ₹17.70 | ₹17.35 | ₹17.70 | 119 387 948 |
Jan 29, 2024 | ₹16.30 | ₹16.90 | ₹16.25 | ₹16.90 | 139 799 480 |
Jan 25, 2024 | ₹15.95 | ₹16.35 | ₹15.80 | ₹16.10 | 47 393 572 |
Jan 24, 2024 | ₹15.85 | ₹16.10 | ₹15.50 | ₹15.90 | 59 726 528 |
Jan 23, 2024 | ₹16.90 | ₹17.20 | ₹15.90 | ₹15.90 | 69 884 760 |
Jan 22, 2024 | ₹15.95 | ₹15.95 | ₹15.95 | ₹15.95 | 0 |
Jan 20, 2024 | ₹16.00 | ₹16.70 | ₹15.80 | ₹16.70 | 95 782 565 |
Jan 19, 2024 | ₹16.05 | ₹16.25 | ₹15.85 | ₹15.95 | 41 161 397 |
Jan 18, 2024 | ₹16.00 | ₹16.25 | ₹15.25 | ₹15.95 | 60 192 800 |
Jan 17, 2024 | ₹15.95 | ₹16.35 | ₹15.70 | ₹16.00 | 78 294 539 |
Jan 16, 2024 | ₹17.10 | ₹17.30 | ₹16.15 | ₹16.20 | 127 848 620 |
Jan 15, 2024 | ₹16.95 | ₹17.15 | ₹16.40 | ₹17.00 | 95 362 968 |
Jan 12, 2024 | ₹16.60 | ₹17.25 | ₹16.30 | ₹16.70 | 106 832 145 |
Jan 11, 2024 | ₹16.45 | ₹16.95 | ₹16.35 | ₹16.45 | 53 712 998 |
Jan 10, 2024 | ₹16.45 | ₹16.60 | ₹15.90 | ₹16.35 | 66 661 584 |
Jan 09, 2024 | ₹17.15 | ₹17.25 | ₹16.30 | ₹16.45 | 108 185 475 |
Jan 08, 2024 | ₹17.00 | ₹17.45 | ₹16.85 | ₹16.95 | 110 562 245 |
Jan 05, 2024 | ₹17.10 | ₹17.80 | ₹16.50 | ₹16.85 | 267 241 353 |
Jan 04, 2024 | ₹16.00 | ₹17.10 | ₹16.00 | ₹17.00 | 218 489 906 |
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 JPPOWER.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the JPPOWER.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 JPPOWER.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.