Persistent Systems Limited Stock Price (Quote)
₹3,410.50
-106.55 (-3.03%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹3,254.00 | ₹3,796.95 | Friday, 31st May 2024 PERSISTENT.NS stock ended at ₹3,410.50. This is 3.03% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 4.26% from a day low at ₹3,400.00 to a day high of ₹3,544.95. |
90 days | ₹3,254.00 | ₹8,598.00 | |
52 weeks | ₹3,254.00 | ₹8,900.00 |
Historical Persistent Systems Limited prices
Date | Open | High | Low | Close | Volume |
Mar 04, 2022 | ₹4,075.00 | ₹4,159.85 | ₹3,994.15 | ₹4,070.00 | 402 054 |
Mar 03, 2022 | ₹3,967.00 | ₹4,113.15 | ₹3,935.05 | ₹4,092.85 | 504 580 |
Mar 02, 2022 | ₹3,914.00 | ₹3,978.95 | ₹3,875.00 | ₹3,885.80 | 215 110 |
Feb 28, 2022 | ₹3,850.00 | ₹3,958.85 | ₹3,752.05 | ₹3,937.80 | 382 729 |
Feb 25, 2022 | ₹3,850.00 | ₹4,000.00 | ₹3,800.00 | ₹3,873.65 | 291 265 |
Feb 24, 2022 | ₹3,805.00 | ₹3,918.60 | ₹3,731.15 | ₹3,776.10 | 449 923 |
Feb 23, 2022 | ₹3,977.55 | ₹4,013.90 | ₹3,905.45 | ₹3,959.65 | 276 785 |
Feb 22, 2022 | ₹3,699.00 | ₹3,949.90 | ₹3,651.05 | ₹3,927.00 | 325 238 |
Feb 21, 2022 | ₹3,825.00 | ₹3,971.95 | ₹3,718.65 | ₹3,837.40 | 404 136 |
Feb 18, 2022 | ₹3,870.00 | ₹3,944.10 | ₹3,839.55 | ₹3,858.40 | 196 159 |
Feb 17, 2022 | ₹4,060.00 | ₹4,060.00 | ₹3,892.55 | ₹3,913.10 | 219 772 |
Feb 16, 2022 | ₹4,169.00 | ₹4,219.65 | ₹4,000.00 | ₹4,020.65 | 232 593 |
Feb 15, 2022 | ₹3,980.00 | ₹4,175.00 | ₹3,952.10 | ₹4,157.85 | 378 132 |
Feb 14, 2022 | ₹3,970.00 | ₹4,160.40 | ₹3,902.00 | ₹3,943.90 | 405 523 |
Feb 11, 2022 | ₹4,305.00 | ₹4,339.10 | ₹4,164.90 | ₹4,196.25 | 240 587 |
Feb 10, 2022 | ₹4,395.30 | ₹4,455.95 | ₹4,323.90 | ₹4,419.55 | 157 096 |
Feb 09, 2022 | ₹4,198.40 | ₹4,392.40 | ₹4,171.00 | ₹4,366.50 | 241 635 |
Feb 08, 2022 | ₹4,237.00 | ₹4,274.00 | ₹4,140.00 | ₹4,163.40 | 126 001 |
Feb 07, 2022 | ₹4,307.00 | ₹4,316.50 | ₹4,203.00 | ₹4,232.70 | 113 568 |
Feb 04, 2022 | ₹4,326.25 | ₹4,342.95 | ₹4,236.05 | ₹4,296.25 | 114 602 |
Feb 03, 2022 | ₹4,430.00 | ₹4,430.00 | ₹4,320.00 | ₹4,342.65 | 128 694 |
Feb 02, 2022 | ₹4,522.00 | ₹4,534.00 | ₹4,393.10 | ₹4,436.15 | 234 736 |
Feb 01, 2022 | ₹4,461.00 | ₹4,542.05 | ₹4,393.25 | ₹4,496.70 | 342 835 |
Jan 31, 2022 | ₹4,381.05 | ₹4,438.80 | ₹4,290.00 | ₹4,400.10 | 297 906 |
Jan 28, 2022 | ₹4,100.00 | ₹4,360.25 | ₹4,077.80 | ₹4,287.00 | 459 107 |
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 PERSISTENT.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the PERSISTENT.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 PERSISTENT.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.