NYSE:AAIC
Delisted
Arlington Asset Investment Corp. Stock Price (Quote)
$4.84
+0 (+0%)
At Close: Mar 12, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $4.84 | $4.84 | Tuesday, 12th Mar 2024 AAIC stock ended at $4.84. During the day the stock fluctuated 0% from a day low at $4.84 to a day high of $4.84. |
90 days | $4.69 | $4.84 | |
52 weeks | $2.53 | $4.84 |
Historical Arlington Asset Investment Corp. prices
Date | Open | High | Low | Close | Volume |
Jan 08, 2020 | $5.65 | $5.70 | $5.62 | $5.64 | 258 408 |
Jan 07, 2020 | $5.63 | $5.68 | $5.63 | $5.67 | 262 580 |
Jan 06, 2020 | $5.50 | $5.63 | $5.50 | $5.62 | 397 207 |
Jan 03, 2020 | $5.48 | $5.57 | $5.48 | $5.52 | 347 134 |
Jan 02, 2020 | $5.58 | $5.61 | $5.53 | $5.54 | 595 319 |
Dec 31, 2019 | $5.62 | $5.65 | $5.57 | $5.57 | 528 233 |
Dec 30, 2019 | $5.64 | $5.70 | $5.59 | $5.61 | 597 495 |
Dec 27, 2019 | $5.75 | $5.76 | $5.63 | $5.65 | 778 795 |
Dec 26, 2019 | $5.72 | $5.76 | $5.68 | $5.71 | 397 935 |
Dec 24, 2019 | $5.67 | $5.70 | $5.61 | $5.70 | 346 928 |
Dec 23, 2019 | $5.51 | $5.64 | $5.48 | $5.63 | 543 964 |
Dec 20, 2019 | $5.49 | $5.58 | $5.42 | $5.45 | 3 091 176 |
Dec 19, 2019 | $5.51 | $5.53 | $5.44 | $5.47 | 582 759 |
Dec 18, 2019 | $5.35 | $5.49 | $5.35 | $5.48 | 439 646 |
Dec 17, 2019 | $5.31 | $5.39 | $5.28 | $5.29 | 935 179 |
Dec 16, 2019 | $5.60 | $5.61 | $5.24 | $5.32 | 1 566 620 |
Dec 13, 2019 | $5.61 | $5.65 | $5.60 | $5.61 | 204 520 |
Dec 12, 2019 | $5.63 | $5.69 | $5.59 | $5.61 | 313 443 |
Dec 11, 2019 | $5.62 | $5.66 | $5.61 | $5.62 | 205 862 |
Dec 10, 2019 | $5.68 | $5.69 | $5.61 | $5.62 | 190 339 |
Dec 09, 2019 | $5.69 | $5.74 | $5.63 | $5.66 | 366 920 |
Dec 06, 2019 | $5.62 | $5.69 | $5.62 | $5.69 | 407 523 |
Dec 05, 2019 | $5.62 | $5.65 | $5.59 | $5.61 | 210 725 |
Dec 04, 2019 | $5.61 | $5.63 | $5.59 | $5.62 | 231 559 |
Dec 03, 2019 | $5.57 | $5.61 | $5.55 | $5.61 | 249 747 |
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 AAIC stock historical prices to predict future price movements?
Trend Analysis: Examine the AAIC 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 AAIC 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.