NASDAQ:AUR
Aurora Innovation Inc - Class A Stock Price (Quote)
$2.74
-0.0300 (-1.08%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.68 | $3.68 | Friday, 17th May 2024 AUR stock ended at $2.74. This is 1.08% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 3.70% from a day low at $2.70 to a day high of $2.80. |
90 days | $2.12 | $3.68 | |
52 weeks | $1.30 | $4.81 |
Date | Open | High | Low | Close | Volume |
Nov 16, 2023 | $2.11 | $2.14 | $2.04 | $2.12 | 5 405 359 |
Nov 15, 2023 | $2.18 | $2.23 | $2.09 | $2.09 | 6 896 595 |
Nov 14, 2023 | $1.90 | $2.20 | $1.90 | $2.15 | 9 346 983 |
Nov 13, 2023 | $1.83 | $1.85 | $1.73 | $1.84 | 7 630 551 |
Nov 10, 2023 | $1.80 | $1.87 | $1.76 | $1.82 | 3 206 552 |
Nov 09, 2023 | $1.97 | $1.98 | $1.76 | $1.79 | 4 843 723 |
Nov 08, 2023 | $1.95 | $2.00 | $1.89 | $1.97 | 4 994 595 |
Nov 07, 2023 | $1.93 | $2.00 | $1.90 | $1.94 | 4 306 821 |
Nov 06, 2023 | $2.14 | $2.14 | $1.87 | $1.96 | 8 392 820 |
Nov 03, 2023 | $1.93 | $2.11 | $1.92 | $2.01 | 7 766 897 |
Nov 02, 2023 | $1.87 | $2.05 | $1.85 | $1.92 | 8 217 002 |
Nov 01, 2023 | $1.78 | $1.83 | $1.72 | $1.81 | 6 314 704 |
Oct 31, 2023 | $1.65 | $1.76 | $1.64 | $1.75 | 6 244 772 |
Oct 30, 2023 | $1.72 | $1.74 | $1.60 | $1.67 | 11 200 865 |
Oct 27, 2023 | $1.77 | $1.81 | $1.70 | $1.72 | 4 736 393 |
Oct 26, 2023 | $1.75 | $1.82 | $1.74 | $1.78 | 5 000 517 |
Oct 25, 2023 | $1.89 | $1.89 | $1.78 | $1.79 | 3 504 480 |
Oct 24, 2023 | $1.81 | $1.95 | $1.79 | $1.86 | 4 756 304 |
Oct 23, 2023 | $1.80 | $1.86 | $1.73 | $1.80 | 5 164 746 |
Oct 20, 2023 | $1.81 | $1.88 | $1.76 | $1.82 | 6 556 462 |
Oct 19, 2023 | $1.81 | $1.85 | $1.78 | $1.80 | 2 962 069 |
Oct 18, 2023 | $1.90 | $1.91 | $1.80 | $1.82 | 2 583 042 |
Oct 17, 2023 | $1.89 | $2.00 | $1.85 | $1.92 | 2 964 016 |
Oct 16, 2023 | $1.82 | $1.94 | $1.79 | $1.91 | 3 723 676 |
Oct 13, 2023 | $1.91 | $1.96 | $1.82 | $1.85 | 5 246 985 |
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.