NYSE:ACB
Aurora Cannabis Stock Price (Quote)
$6.31
-0.350 (-5.26%)
At Close: May 28, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $6.14 | $9.35 | Tuesday, 28th May 2024 ACB stock ended at $6.31. This is 5.26% less than the trading day before Friday, 24th May 2024. During the day the stock fluctuated 9.33% from a day low at $6.14 to a day high of $6.72. |
90 days | $2.84 | $9.35 | |
52 weeks | $0.370 | $9.35 |
Historical Aurora Cannabis Inc. prices
Date | Open | High | Low | Close | Volume |
Dec 08, 2017 | $5.21 | $5.61 | $5.14 | $5.52 | 2 109 659 |
Dec 07, 2017 | $5.34 | $5.40 | $4.92 | $5.20 | 4 226 168 |
Dec 06, 2017 | $5.79 | $5.84 | $5.40 | $5.47 | 2 397 992 |
Dec 05, 2017 | $5.85 | $5.94 | $5.74 | $5.82 | 1 652 735 |
Dec 04, 2017 | $6.09 | $6.16 | $5.80 | $5.85 | 2 317 423 |
Dec 01, 2017 | $6.00 | $6.16 | $5.71 | $5.92 | 3 241 849 |
Nov 30, 2017 | $4.80 | $6.05 | $4.78 | $6.00 | 4 927 391 |
Nov 29, 2017 | $5.61 | $5.90 | $5.12 | $5.25 | 5 087 610 |
Nov 28, 2017 | $6.76 | $6.86 | $5.49 | $6.10 | 6 314 613 |
Nov 27, 2017 | $5.92 | $6.65 | $5.89 | $6.48 | 7 005 002 |
Nov 24, 2017 | $5.44 | $5.71 | $5.42 | $5.66 | 3 333 335 |
Nov 22, 2017 | $4.80 | $5.08 | $4.78 | $5.07 | 2 670 855 |
Nov 21, 2017 | $4.68 | $4.75 | $4.60 | $4.73 | 1 873 526 |
Nov 20, 2017 | $4.49 | $4.62 | $4.38 | $4.58 | 2 484 567 |
Nov 17, 2017 | $4.16 | $4.48 | $3.92 | $4.34 | 3 494 902 |
Nov 16, 2017 | $4.62 | $4.69 | $4.08 | $4.25 | 6 984 144 |
Nov 15, 2017 | $5.16 | $5.29 | $4.64 | $4.88 | 4 737 869 |
Nov 14, 2017 | $5.01 | $5.45 | $4.19 | $5.04 | 9 608 135 |
Nov 13, 2017 | $4.33 | $4.69 | $3.96 | $4.68 | 7 168 969 |
Nov 10, 2017 | $3.25 | $3.89 | $3.21 | $3.68 | 5 078 931 |
Nov 09, 2017 | $3.19 | $3.22 | $3.02 | $3.19 | 2 356 379 |
Nov 08, 2017 | $2.99 | $3.21 | $2.97 | $3.08 | 2 942 389 |
Nov 07, 2017 | $2.94 | $3.14 | $2.78 | $2.94 | 4 810 755 |
Nov 06, 2017 | $2.54 | $2.75 | $2.52 | $2.75 | 2 814 386 |
Nov 03, 2017 | $2.44 | $2.47 | $2.41 | $2.47 | 914 575 |
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 ACB stock historical prices to predict future price movements?
Trend Analysis: Examine the ACB 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 ACB 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.