NYSE:AIV
Apartment Investment and Management Co Stock Price (Quote)
$8.24
-0.160 (-1.90%)
At Close: May 22, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $7.83 | $8.48 | Wednesday, 22nd May 2024 AIV stock ended at $8.24. This is 1.90% less than the trading day before Tuesday, 21st May 2024. During the day the stock fluctuated 2.98% from a day low at $8.23 to a day high of $8.48. |
90 days | $7.06 | $8.48 | |
52 weeks | $5.63 | $8.93 |
Date | Open | High | Low | Close | Volume |
Oct 17, 2023 | $6.56 | $6.68 | $6.55 | $6.59 | 1 148 701 |
Oct 16, 2023 | $6.64 | $6.72 | $6.52 | $6.58 | 1 122 348 |
Oct 13, 2023 | $6.18 | $6.65 | $6.10 | $6.57 | 3 504 760 |
Oct 12, 2023 | $6.05 | $6.16 | $5.82 | $6.14 | 4 118 566 |
Oct 11, 2023 | $6.55 | $6.57 | $6.03 | $6.04 | 4 965 680 |
Oct 10, 2023 | $6.50 | $6.65 | $6.45 | $6.49 | 1 767 191 |
Oct 09, 2023 | $6.56 | $6.65 | $6.53 | $6.54 | 753 645 |
Oct 06, 2023 | $6.53 | $6.72 | $6.46 | $6.64 | 1 295 553 |
Oct 05, 2023 | $6.45 | $6.58 | $6.46 | $6.54 | 911 808 |
Oct 04, 2023 | $6.48 | $6.54 | $6.42 | $6.47 | 1 004 120 |
Oct 03, 2023 | $6.61 | $6.66 | $6.46 | $6.48 | 888 333 |
Oct 02, 2023 | $6.74 | $6.82 | $6.63 | $6.65 | 1 085 365 |
Sep 29, 2023 | $6.89 | $6.95 | $6.74 | $6.80 | 753 857 |
Sep 28, 2023 | $6.76 | $6.91 | $6.78 | $6.81 | 889 809 |
Sep 27, 2023 | $6.80 | $6.89 | $6.72 | $6.73 | 958 922 |
Sep 26, 2023 | $6.99 | $7.02 | $6.73 | $6.76 | 816 023 |
Sep 25, 2023 | $7.02 | $7.08 | $6.99 | $7.03 | 914 806 |
Sep 22, 2023 | $6.98 | $7.13 | $6.98 | $7.07 | 802 917 |
Sep 21, 2023 | $7.04 | $7.07 | $6.93 | $6.98 | 622 045 |
Sep 20, 2023 | $7.19 | $7.26 | $7.12 | $7.12 | 613 651 |
Sep 19, 2023 | $7.22 | $7.29 | $7.08 | $7.12 | 973 094 |
Sep 18, 2023 | $7.39 | $7.39 | $7.22 | $7.24 | 353 807 |
Sep 15, 2023 | $7.32 | $7.39 | $7.24 | $7.34 | 1 855 150 |
Sep 14, 2023 | $7.41 | $7.48 | $7.30 | $7.37 | 1 082 591 |
Sep 13, 2023 | $7.49 | $7.60 | $7.35 | $7.36 | 918 592 |
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 AIV stock historical prices to predict future price movements?
Trend Analysis: Examine the AIV 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 AIV 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.