$6.38
-0.113 (-1.74%)
At Close: Jun 09, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $6.11 | $8.20 | Tuesday, 9th Jun 2026 FNMA stock ended at $6.38. This is 1.74% less than the trading day before Monday, 8th Jun 2026. During the day the stock fluctuated 8.84% from a day low at $6.11 to a day high of $6.65. |
| 90 days | $3.61 | $8.98 | |
| 52 weeks | $3.61 | $15.98 |
Historical Federal National Mortgage Association prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 09, 2026 | $6.49 | $6.65 | $6.11 | $6.38 | 1 266 878 |
| Jun 08, 2026 | $6.60 | $6.75 | $6.38 | $6.49 | 1 263 167 |
| Jun 05, 2026 | $7.70 | $7.70 | $6.40 | $6.70 | 0 |
| Jun 04, 2026 | $6.36 | $6.90 | $6.36 | $6.83 | 1 381 477 |
| Jun 03, 2026 | $7.04 | $7.04 | $6.12 | $6.34 | 4 303 975 |
| Jun 02, 2026 | $7.38 | $7.39 | $7.00 | $7.05 | 1 151 173 |
| Jun 01, 2026 | $7.08 | $7.44 | $6.92 | $7.42 | 1 768 548 |
| May 29, 2026 | $7.20 | $7.25 | $7.01 | $7.08 | 1 140 751 |
| May 28, 2026 | $7.35 | $7.39 | $7.16 | $7.23 | 567 703 |
| May 27, 2026 | $7.05 | $7.47 | $6.95 | $7.36 | 1 547 967 |
| May 26, 2026 | $7.19 | $7.25 | $7.07 | $7.07 | 907 208 |
| May 22, 2026 | $7.16 | $7.33 | $7.05 | $7.19 | 28 049 |
| May 21, 2026 | $7.25 | $7.25 | $7.02 | $7.16 | 611 965 |
| May 20, 2026 | $7.10 | $7.30 | $6.86 | $7.26 | 784 922 |
| May 19, 2026 | $7.23 | $7.24 | $6.80 | $7.09 | 1 754 269 |
| May 18, 2026 | $7.84 | $7.90 | $7.04 | $7.24 | 1 819 027 |
| May 15, 2026 | $7.87 | $7.93 | $7.79 | $7.82 | 654 092 |
| May 14, 2026 | $8.02 | $8.20 | $7.87 | $7.94 | 797 435 |
| May 13, 2026 | $7.88 | $8.05 | $7.76 | $8.01 | 894 843 |
| May 12, 2026 | $7.78 | $8.05 | $7.61 | $7.75 | 1 763 409 |
| May 11, 2026 | $7.87 | $8.10 | $7.47 | $7.85 | 1 913 129 |
| May 08, 2026 | $8.08 | $8.09 | $7.76 | $7.86 | 1 213 231 |
| May 07, 2026 | $8.27 | $8.38 | $7.97 | $8.00 | 1 184 765 |
| May 06, 2026 | $8.08 | $8.29 | $7.78 | $8.21 | 2 552 706 |
| May 05, 2026 | $8.69 | $8.69 | $8.00 | $8.06 | 1 881 577 |
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 FNMA stock historical prices to predict future price movements?
Trend Analysis: Examine the FNMA 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 FNMA 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.
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