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

Historical Aurora Innovation Inc - Class A prices

Date Open High Low Close Volume
Jul 05, 2023 $2.97 $3.24 $2.88 $3.11 7 238 655
Jul 03, 2023 $2.98 $3.00 $2.88 $2.96 2 875 700
Jun 30, 2023 $2.84 $2.98 $2.71 $2.94 16 151 498
Jun 29, 2023 $2.60 $2.80 $2.56 $2.77 7 026 825
Jun 28, 2023 $2.58 $2.65 $2.48 $2.57 7 258 423
Jun 27, 2023 $2.28 $2.59 $2.24 $2.55 8 904 854
Jun 26, 2023 $2.33 $2.45 $2.20 $2.20 5 671 167
Jun 23, 2023 $2.27 $2.39 $2.16 $2.39 40 162 613
Jun 22, 2023 $2.34 $2.36 $2.16 $2.30 5 164 004
Jun 21, 2023 $2.48 $2.49 $2.33 $2.43 5 034 616
Jun 20, 2023 $2.26 $2.45 $2.20 $2.45 6 379 793
Jun 16, 2023 $2.19 $2.25 $2.14 $2.25 7 589 043
Jun 15, 2023 $2.05 $2.20 $2.05 $2.20 5 491 241
Jun 14, 2023 $2.17 $2.22 $1.99 $2.07 5 650 405
Jun 13, 2023 $2.23 $2.37 $2.17 $2.23 7 291 487
Jun 12, 2023 $2.36 $2.49 $2.18 $2.24 8 411 320
Jun 09, 2023 $2.10 $2.32 $2.01 $2.29 5 475 524
Jun 08, 2023 $1.94 $2.13 $1.87 $2.06 7 581 141
Jun 07, 2023 $1.61 $1.94 $1.60 $1.87 10 018 025
Jun 06, 2023 $1.50 $1.55 $1.46 $1.52 2 591 104
Jun 05, 2023 $1.45 $1.52 $1.45 $1.50 2 000 730
Jun 02, 2023 $1.51 $1.54 $1.41 $1.44 2 813 997
Jun 01, 2023 $1.45 $1.49 $1.34 $1.49 2 430 216
May 31, 2023 $1.36 $1.41 $1.32 $1.41 2 955 780
May 30, 2023 $1.38 $1.41 $1.32 $1.34 1 604 168

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.

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.

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.

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.
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About Aurora Innovation Inc - Class A

Aurora Innovation - Class A Aurora Innovation, Inc. operates as a self-driving technology company in the United States. It focuses on developing Aurora Driver, a platform that brings a suite of self-driving hardware, software, and data services together to adapt and interoperate passenger vehicles, light commercial vehicles, and trucks. The company was founded in 2017 and is headquartered in Pittsburgh, Pennsylvania.... AUR Profile

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