NYSE:MFA
MFA Financial Inc Stock Price (Quote)
$11.02
+0.0200 (+0.182%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $10.21 | $11.16 | Friday, 17th May 2024 MFA stock ended at $11.02. This is 0.182% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 0.87% from a day low at $10.94 to a day high of $11.03. |
90 days | $10.20 | $11.72 | |
52 weeks | $8.41 | $11.90 |
Date | Open | High | Low | Close | Volume |
Jan 10, 2017 | $7.82 | $7.88 | $7.75 | $7.81 | 4 564 346 |
Jan 09, 2017 | $7.94 | $7.94 | $7.78 | $7.80 | 2 682 738 |
Jan 06, 2017 | $7.92 | $7.95 | $7.88 | $7.94 | 1 900 386 |
Jan 05, 2017 | $7.90 | $7.93 | $7.85 | $7.93 | 2 386 475 |
Jan 04, 2017 | $7.79 | $7.90 | $7.78 | $7.90 | 2 543 385 |
Jan 03, 2017 | $7.65 | $7.77 | $7.63 | $7.76 | 1 554 117 |
Dec 30, 2016 | $7.67 | $7.68 | $7.60 | $7.63 | 1 100 626 |
Dec 29, 2016 | $7.59 | $7.68 | $7.57 | $7.66 | 1 529 031 |
Dec 28, 2016 | $7.60 | $7.66 | $7.56 | $7.60 | 1 823 682 |
Dec 27, 2016 | $7.64 | $7.67 | $7.59 | $7.60 | 1 342 463 |
Dec 23, 2016 | $7.71 | $7.74 | $7.62 | $7.64 | 1 999 205 |
Dec 22, 2016 | $7.92 | $7.94 | $7.84 | $7.93 | 2 654 900 |
Dec 21, 2016 | $7.85 | $7.96 | $7.82 | $7.91 | 2 692 842 |
Dec 20, 2016 | $7.86 | $7.90 | $7.80 | $7.85 | 1 701 726 |
Dec 19, 2016 | $7.74 | $7.89 | $7.74 | $7.88 | 2 043 289 |
Dec 16, 2016 | $7.61 | $7.77 | $7.59 | $7.71 | 3 287 117 |
Dec 15, 2016 | $7.64 | $7.66 | $7.53 | $7.56 | 2 221 641 |
Dec 14, 2016 | $7.75 | $7.79 | $7.63 | $7.66 | 2 236 700 |
Dec 13, 2016 | $7.88 | $7.90 | $7.73 | $7.75 | 2 674 460 |
Dec 12, 2016 | $8.00 | $8.03 | $7.85 | $7.88 | 2 149 739 |
Dec 09, 2016 | $8.01 | $8.05 | $7.89 | $8.01 | 3 573 351 |
Dec 08, 2016 | $7.81 | $7.93 | $7.77 | $7.90 | 4 810 754 |
Dec 07, 2016 | $7.70 | $7.83 | $7.68 | $7.78 | 4 823 211 |
Dec 06, 2016 | $7.77 | $7.77 | $7.67 | $7.67 | 8 990 912 |
Dec 05, 2016 | $7.63 | $7.76 | $7.63 | $7.73 | 2 347 237 |
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 MFA stock historical prices to predict future price movements?
Trend Analysis: Examine the MFA 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 MFA 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.