NYSE:WIT
Wipro Limited Stock Price (Quote)
$5.39
-0.0500 (-0.92%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $5.16 | $5.53 | Friday, 17th May 2024 WIT stock ended at $5.39. This is 0.92% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 0.93% from a day low at $5.37 to a day high of $5.42. |
90 days | $5.16 | $6.41 | |
52 weeks | $4.48 | $6.45 |
Date | Open | High | Low | Close | Volume |
Jul 13, 2016 | $6.24 | $6.24 | $6.19 | $6.22 | 961 600 |
Jul 12, 2016 | $6.23 | $6.24 | $6.19 | $6.23 | 1 078 000 |
Jul 11, 2016 | $6.18 | $6.22 | $6.17 | $6.21 | 513 400 |
Jul 08, 2016 | $6.10 | $6.13 | $6.08 | $6.13 | 571 000 |
Jul 07, 2016 | $6.07 | $6.12 | $6.05 | $6.06 | 721 800 |
Jul 06, 2016 | $6.09 | $6.11 | $6.05 | $6.08 | 1 221 800 |
Jul 05, 2016 | $6.14 | $6.14 | $6.09 | $6.12 | 690 400 |
Jul 01, 2016 | $6.17 | $6.18 | $6.16 | $6.16 | 352 600 |
Jun 30, 2016 | $6.09 | $6.19 | $6.02 | $6.17 | 1 441 600 |
Jun 29, 2016 | $6.04 | $6.09 | $6.01 | $6.07 | 788 000 |
Jun 28, 2016 | $5.89 | $5.95 | $5.88 | $5.95 | 1 205 800 |
Jun 27, 2016 | $5.90 | $5.91 | $5.84 | $5.86 | 1 117 000 |
Jun 24, 2016 | $5.93 | $6.00 | $5.92 | $5.93 | 879 600 |
Jun 23, 2016 | $6.19 | $6.20 | $6.16 | $6.15 | 642 800 |
Jun 22, 2016 | $6.12 | $6.16 | $6.11 | $6.12 | 447 600 |
Jun 21, 2016 | $6.12 | $6.14 | $6.07 | $6.09 | 517 400 |
Jun 20, 2016 | $6.08 | $6.14 | $6.08 | $6.09 | 496 200 |
Jun 17, 2016 | $6.00 | $6.01 | $5.98 | $5.99 | 1 352 600 |
Jun 16, 2016 | $5.98 | $6.02 | $5.96 | $6.00 | 681 696 |
Jun 15, 2016 | $5.98 | $6.02 | $5.96 | $5.99 | 1 196 236 |
Jun 14, 2016 | $6.00 | $6.01 | $5.95 | $5.98 | 745 444 |
Jun 13, 2016 | $6.00 | $6.04 | $5.96 | $5.98 | 505 886 |
Jun 10, 2016 | $6.05 | $6.06 | $6.03 | $6.05 | 869 828 |
Jun 09, 2016 | $6.06 | $6.09 | $6.04 | $6.07 | 915 552 |
Jun 08, 2016 | $6.12 | $6.12 | $6.08 | $6.11 | 344 476 |
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 WIT stock historical prices to predict future price movements?
Trend Analysis: Examine the WIT 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 WIT 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.