Persistent Systems Limited Stock Price (Quote)
₹3,540.15
+11.70 (+0.332%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹3,254.00 | ₹3,959.75 | Friday, 17th May 2024 PERSISTENT.NS stock ended at ₹3,540.15. This is 0.332% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.34% from a day low at ₹3,512.80 to a day high of ₹3,559.75. |
90 days | ₹3,254.00 | ₹8,900.00 | |
52 weeks | ₹3,254.00 | ₹8,900.00 |
Date | Open | High | Low | Close | Volume |
Jan 12, 2022 | ₹4,538.00 | ₹4,538.00 | ₹4,475.00 | ₹4,485.50 | 278 896 |
Jan 11, 2022 | ₹4,500.00 | ₹4,539.45 | ₹4,476.85 | ₹4,491.95 | 179 555 |
Jan 10, 2022 | ₹4,569.00 | ₹4,596.60 | ₹4,455.00 | ₹4,493.85 | 344 386 |
Jan 07, 2022 | ₹4,559.00 | ₹4,579.90 | ₹4,510.30 | ₹4,545.10 | 223 096 |
Jan 06, 2022 | ₹4,601.00 | ₹4,601.00 | ₹4,502.10 | ₹4,534.15 | 446 563 |
Jan 05, 2022 | ₹4,837.05 | ₹4,837.90 | ₹4,671.65 | ₹4,678.95 | 369 973 |
Jan 04, 2022 | ₹4,904.35 | ₹4,904.35 | ₹4,904.35 | ₹4,904.35 | 0 |
Jan 03, 2022 | ₹4,904.35 | ₹4,904.35 | ₹4,904.35 | ₹4,904.35 | 0 |
Dec 31, 2021 | ₹4,858.70 | ₹4,925.00 | ₹4,801.00 | ₹4,904.35 | 349 314 |
Dec 30, 2021 | ₹4,661.90 | ₹4,860.00 | ₹4,633.10 | ₹4,810.60 | 488 972 |
Dec 29, 2021 | ₹4,645.00 | ₹4,683.95 | ₹4,616.45 | ₹4,648.25 | 158 127 |
Dec 28, 2021 | ₹4,650.00 | ₹4,680.00 | ₹4,616.05 | ₹4,647.10 | 145 724 |
Dec 27, 2021 | ₹4,623.00 | ₹4,639.85 | ₹4,534.85 | ₹4,622.55 | 187 916 |
Dec 24, 2021 | ₹4,691.00 | ₹4,788.80 | ₹4,602.50 | ₹4,618.05 | 365 135 |
Dec 23, 2021 | ₹4,570.00 | ₹4,678.00 | ₹4,520.05 | ₹4,629.70 | 270 861 |
Dec 22, 2021 | ₹4,447.00 | ₹4,579.50 | ₹4,432.50 | ₹4,539.60 | 313 175 |
Dec 21, 2021 | ₹4,499.80 | ₹4,556.95 | ₹4,385.05 | ₹4,430.30 | 646 805 |
Dec 20, 2021 | ₹4,670.00 | ₹4,670.00 | ₹4,352.30 | ₹4,417.55 | 448 120 |
Dec 17, 2021 | ₹4,560.00 | ₹4,752.10 | ₹4,551.05 | ₹4,640.15 | 1 318 356 |
Dec 16, 2021 | ₹4,400.00 | ₹4,560.00 | ₹4,400.00 | ₹4,503.70 | 382 967 |
Dec 15, 2021 | ₹4,420.00 | ₹4,450.00 | ₹4,335.00 | ₹4,383.45 | 196 568 |
Dec 14, 2021 | ₹4,448.00 | ₹4,459.50 | ₹4,325.30 | ₹4,407.90 | 332 411 |
Dec 13, 2021 | ₹4,360.00 | ₹4,550.00 | ₹4,359.00 | ₹4,413.00 | 549 739 |
Dec 10, 2021 | ₹4,335.15 | ₹4,358.90 | ₹4,290.00 | ₹4,337.60 | 118 696 |
Dec 09, 2021 | ₹4,326.25 | ₹4,354.45 | ₹4,281.00 | ₹4,338.15 | 220 099 |
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.