XBOM:PARSVNATH
Parsvnath Developers Limited Stock Price (Quote)
₹13.16
+0.140 (+1.08%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹12.25 | ₹15.40 | Friday, 24th May 2024 PARSVNATH.BO stock ended at ₹13.16. This is 1.08% more than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 4.26% from a day low at ₹12.90 to a day high of ₹13.45. |
90 days | ₹11.11 | ₹17.18 | |
52 weeks | ₹7.02 | ₹17.29 |
Date | Open | High | Low | Close | Volume |
Dec 21, 2021 | ₹21.35 | ₹22.25 | ₹21.10 | ₹21.50 | 130 927 |
Dec 20, 2021 | ₹22.05 | ₹22.05 | ₹20.70 | ₹20.95 | 387 150 |
Dec 17, 2021 | ₹23.90 | ₹24.45 | ₹22.25 | ₹22.70 | 270 392 |
Dec 16, 2021 | ₹25.50 | ₹25.65 | ₹22.70 | ₹23.95 | 414 211 |
Dec 15, 2021 | ₹25.85 | ₹26.15 | ₹24.50 | ₹25.05 | 896 673 |
Dec 14, 2021 | ₹24.90 | ₹26.75 | ₹23.85 | ₹25.60 | 810 896 |
Dec 13, 2021 | ₹23.35 | ₹24.75 | ₹22.75 | ₹24.30 | 760 578 |
Dec 10, 2021 | ₹22.00 | ₹23.60 | ₹21.25 | ₹22.20 | 806 885 |
Dec 09, 2021 | ₹22.10 | ₹22.40 | ₹21.55 | ₹21.95 | 195 306 |
Dec 08, 2021 | ₹21.80 | ₹22.65 | ₹20.40 | ₹21.80 | 572 419 |
Dec 07, 2021 | ₹21.00 | ₹24.10 | ₹20.60 | ₹21.65 | 1 300 028 |
Dec 06, 2021 | ₹19.50 | ₹20.15 | ₹18.15 | ₹20.15 | 797 711 |
Dec 03, 2021 | ₹16.90 | ₹18.35 | ₹16.60 | ₹18.35 | 385 598 |
Dec 02, 2021 | ₹16.75 | ₹16.95 | ₹16.60 | ₹16.60 | 32 557 |
Dec 01, 2021 | ₹17.00 | ₹17.20 | ₹16.30 | ₹16.55 | 59 089 |
Nov 30, 2021 | ₹16.62 | ₹17.46 | ₹15.96 | ₹16.55 | 118 546 |
Nov 29, 2021 | ₹16.95 | ₹17.20 | ₹16.00 | ₹16.23 | 117 368 |
Nov 26, 2021 | ₹18.25 | ₹18.42 | ₹17.01 | ₹17.37 | 139 323 |
Nov 25, 2021 | ₹19.80 | ₹19.80 | ₹18.11 | ₹18.24 | 152 534 |
Nov 24, 2021 | ₹17.60 | ₹18.49 | ₹17.25 | ₹18.49 | 189 900 |
Nov 23, 2021 | ₹15.70 | ₹16.90 | ₹15.70 | ₹16.81 | 56 986 |
Nov 22, 2021 | ₹16.90 | ₹17.78 | ₹15.70 | ₹15.77 | 81 979 |
Nov 18, 2021 | ₹17.92 | ₹17.92 | ₹16.68 | ₹16.80 | 66 403 |
Nov 17, 2021 | ₹17.92 | ₹18.50 | ₹17.38 | ₹17.53 | 67 604 |
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 PARSVNATH.BO stock historical prices to predict future price movements?
Trend Analysis: Examine the PARSVNATH.BO 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 PARSVNATH.BO 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.