NYSE:AXL
American Axle & Manufacturing Holdings Stock Price (Quote)
$7.85
+0.180 (+2.35%)
At Close: May 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $6.86 | $7.95 | Tuesday, 14th May 2024 AXL stock ended at $7.85. This is 2.35% more than the trading day before Monday, 13th May 2024. During the day the stock fluctuated 2.65% from a day low at $7.74 to a day high of $7.95. |
90 days | $6.44 | $8.96 | |
52 weeks | $6.29 | $9.55 |
Date | Open | High | Low | Close | Volume |
Mar 04, 2024 | $6.88 | $6.90 | $6.67 | $6.76 | 1 543 126 |
Mar 01, 2024 | $6.92 | $6.92 | $6.72 | $6.87 | 1 671 559 |
Feb 29, 2024 | $6.77 | $6.96 | $6.73 | $6.92 | 1 952 126 |
Feb 28, 2024 | $6.78 | $7.07 | $6.62 | $6.62 | 3 072 826 |
Feb 27, 2024 | $6.83 | $6.87 | $6.63 | $6.70 | 2 643 325 |
Feb 26, 2024 | $7.06 | $7.13 | $6.68 | $6.71 | 3 398 996 |
Feb 23, 2024 | $7.29 | $7.34 | $7.05 | $7.09 | 2 296 144 |
Feb 22, 2024 | $7.40 | $7.51 | $7.14 | $7.29 | 1 778 235 |
Feb 21, 2024 | $7.62 | $7.67 | $7.32 | $7.37 | 1 801 401 |
Feb 20, 2024 | $8.10 | $8.20 | $7.66 | $7.72 | 1 803 361 |
Feb 16, 2024 | $8.90 | $8.96 | $8.09 | $8.28 | 1 512 869 |
Feb 15, 2024 | $8.29 | $8.55 | $8.19 | $8.55 | 1 986 343 |
Feb 14, 2024 | $8.17 | $8.19 | $7.99 | $8.15 | 1 406 453 |
Feb 13, 2024 | $8.06 | $8.08 | $7.81 | $7.98 | 1 073 148 |
Feb 12, 2024 | $8.20 | $8.46 | $8.20 | $8.34 | 1 153 187 |
Feb 09, 2024 | $8.13 | $8.24 | $8.08 | $8.20 | 558 224 |
Feb 08, 2024 | $8.05 | $8.14 | $7.95 | $8.12 | 632 147 |
Feb 07, 2024 | $8.27 | $8.27 | $8.01 | $8.07 | 556 397 |
Feb 06, 2024 | $7.86 | $8.21 | $7.85 | $8.19 | 671 773 |
Feb 05, 2024 | $8.06 | $8.06 | $7.87 | $7.90 | 620 806 |
Feb 02, 2024 | $8.06 | $8.27 | $7.95 | $8.21 | 736 852 |
Feb 01, 2024 | $8.20 | $8.31 | $8.09 | $8.23 | 1 155 952 |
Jan 31, 2024 | $8.22 | $8.37 | $8.08 | $8.09 | 801 280 |
Jan 30, 2024 | $8.12 | $8.28 | $8.05 | $8.21 | 936 594 |
Jan 29, 2024 | $8.05 | $8.13 | $7.87 | $8.11 | 765 121 |
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 AXL stock historical prices to predict future price movements?
Trend Analysis: Examine the AXL 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 AXL 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.