XBOM:VIKASWSP
Vikas WSP Limited Stock Price (Quote)
₹1.62
+0.0200 (+1.25%)
At Close: Jun 28, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹1.17 | ₹1.73 | Friday, 28th Jun 2024 VIKASWSP.BO stock ended at ₹1.62. This is 1.25% more than the trading day before Thursday, 27th Jun 2024. During the day the stock fluctuated 6.45% from a day low at ₹1.55 to a day high of ₹1.65. |
90 days | ₹1.17 | ₹1.73 | |
52 weeks | ₹1.10 | ₹2.00 |
Historical Vikas WSP Limited prices
Date | Open | High | Low | Close | Volume |
Jun 28, 2024 | ₹1.60 | ₹1.65 | ₹1.55 | ₹1.62 | 217 229 |
Jun 27, 2024 | ₹1.61 | ₹1.62 | ₹1.55 | ₹1.60 | 273 543 |
Jun 26, 2024 | ₹1.65 | ₹1.68 | ₹1.60 | ₹1.62 | 192 026 |
Jun 25, 2024 | ₹1.68 | ₹1.68 | ₹1.61 | ₹1.63 | 132 420 |
Jun 24, 2024 | ₹1.61 | ₹1.69 | ₹1.55 | ₹1.66 | 726 204 |
Jun 21, 2024 | ₹1.62 | ₹1.68 | ₹1.58 | ₹1.61 | 298 325 |
Jun 20, 2024 | ₹1.69 | ₹1.73 | ₹1.58 | ₹1.62 | 578 134 |
Jun 19, 2024 | ₹1.65 | ₹1.65 | ₹1.65 | ₹1.65 | 180 541 |
Jun 18, 2024 | ₹1.58 | ₹1.58 | ₹1.58 | ₹1.58 | 154 990 |
Jun 14, 2024 | ₹1.49 | ₹1.51 | ₹1.48 | ₹1.51 | 607 919 |
Jun 13, 2024 | ₹1.44 | ₹1.44 | ₹1.44 | ₹1.44 | 95 740 |
Jun 12, 2024 | ₹1.35 | ₹1.38 | ₹1.32 | ₹1.38 | 252 909 |
Jun 11, 2024 | ₹1.25 | ₹1.35 | ₹1.25 | ₹1.32 | 172 761 |
Jun 10, 2024 | ₹1.30 | ₹1.34 | ₹1.27 | ₹1.30 | 276 994 |
Jun 07, 2024 | ₹1.26 | ₹1.31 | ₹1.22 | ₹1.28 | 135 560 |
Jun 06, 2024 | ₹1.25 | ₹1.26 | ₹1.17 | ₹1.26 | 177 165 |
Jun 05, 2024 | ₹1.25 | ₹1.27 | ₹1.20 | ₹1.20 | 104 357 |
Jun 04, 2024 | ₹1.30 | ₹1.30 | ₹1.21 | ₹1.23 | 149 420 |
Jun 03, 2024 | ₹1.27 | ₹1.30 | ₹1.25 | ₹1.27 | 204 099 |
May 31, 2024 | ₹1.30 | ₹1.30 | ₹1.23 | ₹1.24 | 130 883 |
May 30, 2024 | ₹1.25 | ₹1.31 | ₹1.25 | ₹1.26 | 66 476 |
May 29, 2024 | ₹1.29 | ₹1.29 | ₹1.25 | ₹1.28 | 183 843 |
May 28, 2024 | ₹1.30 | ₹1.30 | ₹1.25 | ₹1.28 | 101 750 |
May 27, 2024 | ₹1.27 | ₹1.30 | ₹1.26 | ₹1.28 | 144 181 |
May 24, 2024 | ₹1.32 | ₹1.32 | ₹1.26 | ₹1.30 | 231 520 |
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 VIKASWSP.BO stock historical prices to predict future price movements?
Trend Analysis: Examine the VIKASWSP.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 VIKASWSP.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.