NSE:JPPOWER
Jaiprakash Power Ventures Limited Stock Price (Quote)
₹19.65
+0.700 (+3.69%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹16.55 | ₹20.50 | Friday, 17th May 2024 JPPOWER.NS stock ended at ₹19.65. This is 3.69% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 5.03% from a day low at ₹18.90 to a day high of ₹19.85. |
90 days | ₹14.35 | ₹21.10 | |
52 weeks | ₹5.55 | ₹24.00 |
Date | Open | High | Low | Close | Volume |
Jun 21, 2023 | ₹6.20 | ₹6.25 | ₹6.05 | ₹6.10 | 26 843 351 |
Jun 20, 2023 | ₹6.25 | ₹6.30 | ₹6.05 | ₹6.20 | 33 352 601 |
Jun 19, 2023 | ₹6.35 | ₹6.40 | ₹6.20 | ₹6.25 | 25 864 171 |
Jun 16, 2023 | ₹6.40 | ₹6.50 | ₹6.30 | ₹6.30 | 30 267 957 |
Jun 15, 2023 | ₹6.35 | ₹6.60 | ₹6.25 | ₹6.35 | 73 085 255 |
Jun 14, 2023 | ₹6.65 | ₹6.70 | ₹6.30 | ₹6.35 | 61 239 683 |
Jun 13, 2023 | ₹6.45 | ₹6.80 | ₹6.35 | ₹6.60 | 122 991 215 |
Jun 12, 2023 | ₹6.25 | ₹6.55 | ₹6.20 | ₹6.40 | 98 006 830 |
Jun 09, 2023 | ₹6.30 | ₹6.40 | ₹6.15 | ₹6.25 | 49 754 216 |
Jun 08, 2023 | ₹6.40 | ₹6.55 | ₹6.20 | ₹6.25 | 80 712 660 |
Jun 07, 2023 | ₹6.00 | ₹6.50 | ₹5.95 | ₹6.40 | 159 851 526 |
Jun 06, 2023 | ₹5.95 | ₹6.05 | ₹5.90 | ₹5.95 | 15 828 296 |
Jun 05, 2023 | ₹6.05 | ₹6.10 | ₹5.95 | ₹5.95 | 18 174 107 |
Jun 02, 2023 | ₹6.05 | ₹6.10 | ₹5.95 | ₹6.00 | 20 048 294 |
Jun 01, 2023 | ₹6.00 | ₹6.15 | ₹5.90 | ₹6.00 | 49 598 314 |
May 31, 2023 | ₹5.80 | ₹6.10 | ₹5.70 | ₹6.00 | 71 061 416 |
May 30, 2023 | ₹5.65 | ₹5.90 | ₹5.60 | ₹5.80 | 28 034 702 |
May 29, 2023 | ₹5.65 | ₹5.70 | ₹5.60 | ₹5.60 | 16 984 737 |
May 26, 2023 | ₹5.65 | ₹5.70 | ₹5.55 | ₹5.60 | 16 131 213 |
May 25, 2023 | ₹5.65 | ₹5.70 | ₹5.60 | ₹5.60 | 18 040 250 |
May 24, 2023 | ₹5.65 | ₹5.85 | ₹5.60 | ₹5.65 | 29 576 287 |
May 23, 2023 | ₹5.70 | ₹5.75 | ₹5.60 | ₹5.65 | 21 828 610 |
May 22, 2023 | ₹5.65 | ₹5.85 | ₹5.65 | ₹5.70 | 38 582 774 |
May 19, 2023 | ₹5.75 | ₹5.75 | ₹5.65 | ₹5.70 | 10 406 880 |
May 18, 2023 | ₹5.70 | ₹5.85 | ₹5.70 | ₹5.75 | 26 504 975 |
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.