NASDAQ:ROVR
Rover Group, Inc. Stock Price (Quote)
$10.99
+0 (+0%)
At Close: May 23, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $10.99 | $10.99 | Thursday, 23rd May 2024 ROVR stock ended at $10.99. During the day the stock fluctuated 0% from a day low at $10.99 to a day high of $10.99. |
90 days | $10.98 | $11.00 | |
52 weeks | $4.38 | $11.04 |
Date | Open | High | Low | Close | Volume |
Jul 03, 2023 | $4.96 | $5.00 | $4.92 | $4.92 | 409 951 |
Jun 30, 2023 | $4.97 | $5.14 | $4.90 | $4.91 | 820 954 |
Jun 29, 2023 | $4.91 | $4.97 | $4.87 | $4.94 | 1 035 147 |
Jun 28, 2023 | $5.02 | $5.04 | $4.86 | $4.88 | 1 915 314 |
Jun 27, 2023 | $4.83 | $5.03 | $4.82 | $5.02 | 984 422 |
Jun 26, 2023 | $4.85 | $4.93 | $4.76 | $4.79 | 1 072 192 |
Jun 23, 2023 | $4.73 | $4.92 | $4.69 | $4.89 | 1 470 266 |
Jun 22, 2023 | $5.00 | $5.00 | $4.82 | $4.84 | 685 826 |
Jun 21, 2023 | $4.91 | $4.96 | $4.85 | $4.90 | 727 830 |
Jun 20, 2023 | $5.00 | $5.02 | $4.91 | $4.94 | 439 235 |
Jun 16, 2023 | $5.02 | $5.04 | $4.93 | $4.98 | 819 305 |
Jun 15, 2023 | $4.98 | $5.03 | $4.84 | $4.97 | 715 227 |
Jun 14, 2023 | $4.97 | $5.01 | $4.93 | $4.97 | 985 652 |
Jun 13, 2023 | $4.99 | $5.03 | $4.91 | $4.97 | 598 338 |
Jun 12, 2023 | $4.85 | $5.06 | $4.80 | $4.99 | 1 158 106 |
Jun 09, 2023 | $4.74 | $4.90 | $4.70 | $4.82 | 1 998 571 |
Jun 08, 2023 | $4.68 | $4.84 | $4.63 | $4.75 | 1 521 680 |
Jun 07, 2023 | $4.77 | $4.85 | $4.67 | $4.69 | 1 103 881 |
Jun 06, 2023 | $4.59 | $4.80 | $4.58 | $4.71 | 1 475 966 |
Jun 05, 2023 | $4.58 | $4.75 | $4.58 | $4.62 | 720 094 |
Jun 02, 2023 | $4.61 | $4.74 | $4.59 | $4.65 | 855 165 |
Jun 01, 2023 | $4.68 | $4.69 | $4.51 | $4.58 | 696 376 |
May 31, 2023 | $4.50 | $4.67 | $4.49 | $4.65 | 1 064 180 |
May 30, 2023 | $4.46 | $4.57 | $4.46 | $4.50 | 375 970 |
May 26, 2023 | $4.51 | $4.57 | $4.42 | $4.47 | 442 953 |
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 ROVR stock historical prices to predict future price movements?
Trend Analysis: Examine the ROVR 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 ROVR 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.