NYSE:AMCR
Amcor PLC Stock Price (Quote)
$10.07
+0 (+0%)
At Close: May 22, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $8.90 | $10.51 | Wednesday, 22nd May 2024 AMCR stock ended at $10.07. During the day the stock fluctuated 1.20% from a day low at $9.99 to a day high of $10.11. |
90 days | $8.80 | $10.51 | |
52 weeks | $8.45 | $10.51 |
Date | Open | High | Low | Close | Volume |
Mar 12, 2024 | $9.50 | $9.54 | $9.39 | $9.49 | 6 155 086 |
Mar 11, 2024 | $9.36 | $9.53 | $9.36 | $9.47 | 6 282 032 |
Mar 08, 2024 | $9.42 | $9.47 | $9.34 | $9.36 | 7 811 655 |
Mar 07, 2024 | $9.30 | $9.43 | $9.26 | $9.42 | 8 051 574 |
Mar 06, 2024 | $9.22 | $9.24 | $9.09 | $9.20 | 5 495 197 |
Mar 05, 2024 | $9.16 | $9.27 | $9.14 | $9.17 | 6 217 075 |
Mar 04, 2024 | $9.19 | $9.34 | $9.16 | $9.17 | 11 087 569 |
Mar 01, 2024 | $9.05 | $9.11 | $8.98 | $9.09 | 6 706 024 |
Feb 29, 2024 | $8.97 | $9.16 | $8.97 | $9.06 | 14 974 612 |
Feb 28, 2024 | $8.89 | $8.98 | $8.85 | $8.87 | 6 647 590 |
Feb 27, 2024 | $9.07 | $9.13 | $8.92 | $8.95 | 8 953 128 |
Feb 26, 2024 | $9.25 | $9.26 | $9.12 | $9.14 | 6 582 034 |
Feb 23, 2024 | $9.28 | $9.31 | $9.22 | $9.27 | 5 620 191 |
Feb 22, 2024 | $9.18 | $9.28 | $9.10 | $9.26 | 7 119 695 |
Feb 21, 2024 | $9.18 | $9.22 | $9.10 | $9.21 | 6 851 596 |
Feb 20, 2024 | $8.99 | $9.19 | $8.98 | $9.12 | 8 933 410 |
Feb 16, 2024 | $8.95 | $9.08 | $8.93 | $9.04 | 8 666 800 |
Feb 15, 2024 | $8.98 | $9.02 | $8.93 | $8.99 | 7 986 266 |
Feb 14, 2024 | $8.90 | $8.97 | $8.87 | $8.95 | 6 798 650 |
Feb 13, 2024 | $9.06 | $9.07 | $8.78 | $8.88 | 10 103 797 |
Feb 12, 2024 | $9.12 | $9.23 | $9.10 | $9.18 | 6 841 381 |
Feb 09, 2024 | $9.11 | $9.14 | $9.00 | $9.10 | 7 947 422 |
Feb 08, 2024 | $9.37 | $9.38 | $8.87 | $9.16 | 11 333 907 |
Feb 07, 2024 | $9.35 | $9.56 | $9.28 | $9.38 | 13 499 657 |
Feb 06, 2024 | $9.22 | $9.31 | $9.16 | $9.18 | 14 472 245 |
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 AMCR stock historical prices to predict future price movements?
Trend Analysis: Examine the AMCR 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 AMCR 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.