NYSE:GRUB
Delisted
GrubHub Inc Stock Price (Quote)
$6.72
+0 (+0%)
At Close: Jul 20, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $6.72 | $6.72 | Wednesday, 20th Jul 2022 GRUB stock ended at $6.72. During the day the stock fluctuated 0% from a day low at $6.72 to a day high of $6.72. |
90 days | $6.72 | $6.72 | |
52 weeks | $5.57 | $19.84 |
Date | Open | High | Low | Close | Volume |
Feb 24, 2022 | $6.83 | $7.63 | $6.79 | $7.62 | 3 463 963 |
Feb 23, 2022 | $7.51 | $7.54 | $7.05 | $7.06 | 2 206 202 |
Feb 22, 2022 | $7.65 | $7.81 | $7.44 | $7.53 | 2 637 373 |
Feb 18, 2022 | $8.38 | $8.38 | $8.09 | $8.16 | 2 220 445 |
Feb 17, 2022 | $8.95 | $9.00 | $8.59 | $8.68 | 1 977 517 |
Feb 16, 2022 | $8.92 | $9.01 | $8.81 | $8.98 | 2 055 134 |
Feb 15, 2022 | $8.64 | $8.87 | $8.55 | $8.81 | 2 299 513 |
Feb 14, 2022 | $8.54 | $8.73 | $8.44 | $8.63 | 2 297 981 |
Feb 11, 2022 | $8.98 | $9.10 | $8.39 | $8.42 | 3 257 286 |
Feb 10, 2022 | $9.16 | $9.51 | $9.12 | $9.27 | 2 857 203 |
Feb 09, 2022 | $9.96 | $10.01 | $9.83 | $9.89 | 1 897 030 |
Feb 08, 2022 | $9.36 | $9.97 | $9.31 | $9.95 | 2 470 214 |
Feb 07, 2022 | $9.46 | $9.72 | $9.44 | $9.56 | 1 827 198 |
Feb 04, 2022 | $8.96 | $9.42 | $8.93 | $9.31 | 2 037 760 |
Feb 03, 2022 | $9.40 | $9.47 | $9.13 | $9.14 | 2 187 677 |
Feb 02, 2022 | $10.10 | $10.11 | $9.82 | $9.83 | 2 211 678 |
Feb 01, 2022 | $10.02 | $10.12 | $9.81 | $10.09 | 2 642 056 |
Jan 31, 2022 | $9.36 | $9.92 | $9.36 | $9.90 | 3 661 668 |
Jan 28, 2022 | $9.05 | $9.30 | $8.92 | $9.30 | 2 223 357 |
Jan 27, 2022 | $9.42 | $9.46 | $9.14 | $9.22 | 2 203 997 |
Jan 26, 2022 | $9.54 | $9.73 | $9.25 | $9.31 | 2 260 557 |
Jan 25, 2022 | $9.20 | $9.42 | $9.15 | $9.27 | 4 213 461 |
Jan 24, 2022 | $9.70 | $10.04 | $9.51 | $10.02 | 2 989 034 |
Jan 21, 2022 | $10.64 | $10.70 | $10.31 | $10.35 | 2 220 400 |
Jan 20, 2022 | $10.86 | $11.08 | $10.73 | $10.75 | 1 862 683 |
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 GRUB stock historical prices to predict future price movements?
Trend Analysis: Examine the GRUB 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 GRUB 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.