NASDAQ:NN
NextNav Inc. Stock Price (Quote)
$7.67
+0.0700 (+0.92%)
At Close: May 30, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $7.25 | $9.50 | Thursday, 30th May 2024 NN stock ended at $7.67. This is 0.92% more than the trading day before Wednesday, 29th May 2024. During the day the stock fluctuated 2.87% from a day low at $7.48 to a day high of $7.70. |
90 days | $3.55 | $9.50 | |
52 weeks | $2.42 | $9.50 |
Historical NextNav Inc. prices
Date | Open | High | Low | Close | Volume |
Sep 20, 2022 | $2.69 | $2.81 | $2.51 | $2.77 | 791 040 |
Sep 19, 2022 | $2.80 | $2.88 | $2.76 | $2.76 | 383 573 |
Sep 16, 2022 | $2.93 | $2.93 | $2.65 | $2.80 | 2 121 946 |
Sep 15, 2022 | $3.12 | $3.14 | $2.83 | $2.95 | 589 564 |
Sep 14, 2022 | $3.26 | $3.28 | $3.08 | $3.13 | 510 175 |
Sep 13, 2022 | $3.43 | $3.43 | $3.20 | $3.32 | 308 288 |
Sep 12, 2022 | $3.40 | $3.44 | $3.28 | $3.38 | 220 335 |
Sep 09, 2022 | $3.50 | $3.50 | $3.39 | $3.44 | 377 685 |
Sep 08, 2022 | $3.31 | $3.48 | $3.31 | $3.48 | 149 413 |
Sep 07, 2022 | $3.36 | $3.47 | $3.26 | $3.38 | 203 102 |
Sep 06, 2022 | $3.24 | $3.47 | $3.18 | $3.36 | 273 795 |
Sep 02, 2022 | $3.41 | $3.51 | $3.21 | $3.23 | 209 686 |
Sep 01, 2022 | $3.32 | $3.41 | $3.15 | $3.31 | 310 448 |
Aug 31, 2022 | $3.34 | $3.51 | $3.11 | $3.39 | 640 255 |
Aug 30, 2022 | $3.23 | $3.37 | $3.21 | $3.30 | 445 731 |
Aug 29, 2022 | $3.08 | $3.32 | $3.07 | $3.27 | 613 720 |
Aug 26, 2022 | $3.17 | $3.38 | $3.05 | $3.10 | 479 333 |
Aug 25, 2022 | $3.07 | $3.25 | $3.06 | $3.23 | 351 883 |
Aug 24, 2022 | $3.05 | $3.15 | $3.02 | $3.09 | 446 414 |
Aug 23, 2022 | $2.87 | $3.09 | $2.87 | $3.03 | 338 106 |
Aug 22, 2022 | $2.87 | $2.95 | $2.77 | $2.94 | 324 543 |
Aug 19, 2022 | $3.18 | $3.20 | $2.82 | $2.84 | 331 974 |
Aug 18, 2022 | $3.05 | $3.17 | $2.74 | $3.17 | 787 474 |
Aug 17, 2022 | $3.29 | $3.30 | $3.04 | $3.05 | 501 423 |
Aug 16, 2022 | $3.21 | $3.21 | $3.00 | $3.17 | 473 913 |
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 NN stock historical prices to predict future price movements?
Trend Analysis: Examine the NN 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 NN 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.