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 |
Oct 19, 2023 | ₹9.60 | ₹10.35 | ₹9.50 | ₹9.95 | 359 904 970 |
Oct 18, 2023 | ₹9.60 | ₹9.70 | ₹9.25 | ₹9.55 | 113 021 905 |
Oct 17, 2023 | ₹9.55 | ₹9.70 | ₹9.45 | ₹9.55 | 95 437 809 |
Oct 16, 2023 | ₹9.65 | ₹9.80 | ₹9.40 | ₹9.45 | 70 394 956 |
Oct 13, 2023 | ₹9.65 | ₹9.75 | ₹9.55 | ₹9.60 | 54 248 237 |
Oct 12, 2023 | ₹9.95 | ₹10.00 | ₹9.60 | ₹9.70 | 104 942 114 |
Oct 11, 2023 | ₹9.30 | ₹9.95 | ₹9.25 | ₹9.90 | 180 996 591 |
Oct 10, 2023 | ₹9.10 | ₹9.35 | ₹9.10 | ₹9.20 | 72 108 694 |
Oct 09, 2023 | ₹9.45 | ₹9.50 | ₹8.95 | ₹9.05 | 130 674 457 |
Oct 06, 2023 | ₹9.85 | ₹9.95 | ₹9.65 | ₹9.80 | 69 519 842 |
Oct 05, 2023 | ₹9.65 | ₹9.95 | ₹9.55 | ₹9.80 | 141 739 197 |
Oct 04, 2023 | ₹10.00 | ₹10.00 | ₹9.35 | ₹9.55 | 201 796 031 |
Oct 03, 2023 | ₹10.25 | ₹10.50 | ₹10.00 | ₹10.05 | 128 988 955 |
Sep 29, 2023 | ₹10.50 | ₹10.55 | ₹10.15 | ₹10.25 | 92 008 951 |
Sep 28, 2023 | ₹10.45 | ₹10.60 | ₹10.25 | ₹10.40 | 142 928 299 |
Sep 27, 2023 | ₹10.60 | ₹10.60 | ₹10.35 | ₹10.45 | 121 779 911 |
Sep 26, 2023 | ₹10.65 | ₹10.80 | ₹10.30 | ₹10.55 | 154 200 603 |
Sep 25, 2023 | ₹10.50 | ₹10.85 | ₹10.35 | ₹10.55 | 184 891 190 |
Sep 22, 2023 | ₹10.45 | ₹10.60 | ₹10.20 | ₹10.40 | 227 539 135 |
Sep 21, 2023 | ₹10.15 | ₹10.50 | ₹9.85 | ₹10.45 | 262 647 275 |
Sep 20, 2023 | ₹10.30 | ₹10.55 | ₹9.85 | ₹10.15 | 233 290 431 |
Sep 18, 2023 | ₹10.10 | ₹10.80 | ₹10.00 | ₹10.30 | 456 601 512 |
Sep 15, 2023 | ₹10.00 | ₹10.30 | ₹9.75 | ₹10.10 | 297 705 640 |
Sep 14, 2023 | ₹10.05 | ₹10.40 | ₹9.70 | ₹9.90 | 403 108 419 |
Sep 13, 2023 | ₹8.75 | ₹9.90 | ₹8.60 | ₹9.80 | 309 772 812 |
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.