NASDAQ:AUR
Aurora Innovation Inc - Class A Stock Price (Quote)
$2.46
-0.120 (-4.65%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.34 | $3.68 | Friday, 24th May 2024 AUR stock ended at $2.46. This is 4.65% less than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 6.97% from a day low at $2.44 to a day high of $2.61. |
90 days | $2.12 | $3.68 | |
52 weeks | $1.30 | $4.81 |
Date | Open | High | Low | Close | Volume |
Feb 07, 2024 | $3.17 | $3.18 | $3.01 | $3.08 | 3 213 339 |
Feb 06, 2024 | $3.03 | $3.18 | $2.96 | $3.16 | 2 991 486 |
Feb 05, 2024 | $3.06 | $3.07 | $2.95 | $3.02 | 3 198 899 |
Feb 02, 2024 | $3.04 | $3.18 | $2.95 | $3.15 | 3 811 865 |
Feb 01, 2024 | $3.02 | $3.18 | $2.97 | $3.14 | 5 174 685 |
Jan 31, 2024 | $3.11 | $3.21 | $2.98 | $2.99 | 4 083 809 |
Jan 30, 2024 | $3.20 | $3.21 | $3.10 | $3.14 | 3 327 069 |
Jan 29, 2024 | $3.16 | $3.26 | $3.07 | $3.24 | 4 248 928 |
Jan 26, 2024 | $3.30 | $3.32 | $3.16 | $3.16 | 3 272 528 |
Jan 25, 2024 | $3.30 | $3.30 | $3.18 | $3.25 | 3 652 112 |
Jan 24, 2024 | $3.45 | $3.48 | $3.21 | $3.24 | 5 475 766 |
Jan 23, 2024 | $3.35 | $3.45 | $3.30 | $3.39 | 5 091 343 |
Jan 22, 2024 | $3.15 | $3.35 | $3.13 | $3.28 | 6 351 401 |
Jan 19, 2024 | $3.11 | $3.14 | $2.92 | $3.10 | 5 047 481 |
Jan 18, 2024 | $3.15 | $3.19 | $2.94 | $3.05 | 5 969 428 |
Jan 17, 2024 | $3.11 | $3.15 | $3.04 | $3.10 | 3 961 786 |
Jan 16, 2024 | $3.22 | $3.28 | $3.14 | $3.17 | 3 493 501 |
Jan 12, 2024 | $3.30 | $3.41 | $3.25 | $3.26 | 2 983 504 |
Jan 11, 2024 | $3.36 | $3.43 | $3.21 | $3.27 | 6 025 883 |
Jan 10, 2024 | $3.47 | $3.50 | $3.30 | $3.40 | 4 710 773 |
Jan 09, 2024 | $3.39 | $3.64 | $3.36 | $3.49 | 4 794 179 |
Jan 08, 2024 | $3.30 | $3.59 | $3.27 | $3.48 | 7 590 207 |
Jan 05, 2024 | $3.16 | $3.34 | $3.02 | $3.29 | 6 938 507 |
Jan 04, 2024 | $3.39 | $3.39 | $3.12 | $3.14 | 7 688 402 |
Jan 03, 2024 | $3.47 | $3.55 | $3.22 | $3.29 | 9 338 923 |
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 AUR stock historical prices to predict future price movements?
Trend Analysis: Examine the AUR 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 AUR 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.