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 |
Jan 10, 2017 | $4.90 | $4.91 | $4.86 | $4.88 | 897 152 |
Jan 09, 2017 | $4.91 | $4.91 | $4.86 | $4.88 | 648 974 |
Jan 06, 2017 | $4.85 | $4.90 | $4.80 | $4.89 | 1 326 222 |
Jan 05, 2017 | $4.90 | $4.93 | $4.89 | $4.92 | 808 468 |
Jan 04, 2017 | $4.80 | $4.90 | $4.80 | $4.89 | 786 532 |
Jan 03, 2017 | $4.79 | $4.84 | $4.73 | $4.77 | 1 754 866 |
Dec 30, 2016 | $4.81 | $4.85 | $4.81 | $4.84 | 591 958 |
Dec 29, 2016 | $4.79 | $4.82 | $4.77 | $4.80 | 767 604 |
Dec 28, 2016 | $4.81 | $4.82 | $4.75 | $4.77 | 533 152 |
Dec 27, 2016 | $4.79 | $4.83 | $4.79 | $4.81 | 652 986 |
Dec 23, 2016 | $4.73 | $4.79 | $4.73 | $4.78 | 763 820 |
Dec 22, 2016 | $4.77 | $4.79 | $4.71 | $4.77 | 853 626 |
Dec 21, 2016 | $4.79 | $4.85 | $4.77 | $4.79 | 1 292 062 |
Dec 20, 2016 | $4.84 | $4.85 | $4.80 | $4.81 | 748 822 |
Dec 19, 2016 | $4.80 | $4.82 | $4.76 | $4.82 | 717 780 |
Dec 16, 2016 | $4.80 | $4.81 | $4.77 | $4.81 | 3 378 548 |
Dec 15, 2016 | $4.72 | $4.85 | $4.71 | $4.81 | 2 335 982 |
Dec 14, 2016 | $4.80 | $4.83 | $4.72 | $4.72 | 1 252 876 |
Dec 13, 2016 | $4.71 | $4.82 | $4.71 | $4.81 | 1 231 034 |
Dec 12, 2016 | $4.63 | $4.71 | $4.62 | $4.68 | 830 226 |
Dec 09, 2016 | $4.66 | $4.71 | $4.63 | $4.67 | 2 441 340 |
Dec 08, 2016 | $4.72 | $4.74 | $4.66 | $4.68 | 1 684 444 |
Dec 07, 2016 | $4.66 | $4.74 | $4.64 | $4.72 | 1 611 218 |
Dec 06, 2016 | $4.67 | $4.69 | $4.63 | $4.67 | 1 263 642 |
Dec 05, 2016 | $4.69 | $4.70 | $4.62 | $4.64 | 1 147 822 |
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.