NYSE:NSA
National Storage Affiliates Trust Stock Price (Quote)
$38.09
+0.250 (+0.661%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $34.80 | $38.19 | Friday, 17th May 2024 NSA stock ended at $38.09. This is 0.661% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.24% from a day low at $37.72 to a day high of $38.19. |
90 days | $34.50 | $40.24 | |
52 weeks | $27.86 | $42.54 |
Date | Open | High | Low | Close | Volume |
May 19, 2023 | $37.55 | $37.84 | $37.24 | $37.51 | 483 298 |
May 18, 2023 | $37.19 | $37.41 | $36.87 | $37.19 | 365 073 |
May 17, 2023 | $37.66 | $37.73 | $37.20 | $37.37 | 510 005 |
May 16, 2023 | $37.74 | $37.99 | $37.45 | $37.45 | 539 056 |
May 15, 2023 | $38.50 | $38.50 | $37.89 | $38.08 | 534 335 |
May 12, 2023 | $38.00 | $38.38 | $37.72 | $38.38 | 547 057 |
May 11, 2023 | $38.03 | $38.17 | $37.62 | $38.00 | 563 953 |
May 10, 2023 | $38.60 | $38.60 | $38.03 | $38.31 | 513 166 |
May 09, 2023 | $37.74 | $38.36 | $37.45 | $38.07 | 573 256 |
May 08, 2023 | $36.52 | $38.17 | $36.82 | $37.99 | 456 258 |
May 05, 2023 | $37.49 | $38.15 | $37.33 | $37.97 | 531 215 |
May 04, 2023 | $36.74 | $37.40 | $36.52 | $37.18 | 655 184 |
May 03, 2023 | $37.04 | $37.34 | $36.14 | $36.62 | 1 330 150 |
May 02, 2023 | $37.69 | $37.84 | $36.16 | $36.72 | 1 043 018 |
May 01, 2023 | $38.45 | $38.70 | $38.00 | $38.14 | 428 294 |
Apr 28, 2023 | $38.50 | $38.92 | $38.31 | $38.55 | 431 957 |
Apr 27, 2023 | $37.96 | $38.29 | $37.73 | $38.25 | 445 418 |
Apr 26, 2023 | $38.17 | $38.47 | $37.68 | $37.70 | 578 232 |
Apr 25, 2023 | $38.84 | $39.06 | $38.19 | $38.21 | 496 201 |
Apr 24, 2023 | $39.19 | $39.10 | $38.57 | $38.79 | 344 462 |
Apr 21, 2023 | $38.89 | $39.36 | $38.63 | $38.94 | 418 211 |
Apr 20, 2023 | $38.93 | $39.10 | $38.41 | $38.65 | 632 584 |
Apr 19, 2023 | $39.35 | $39.64 | $39.15 | $39.26 | 614 506 |
Apr 18, 2023 | $39.79 | $40.26 | $39.22 | $39.56 | 718 216 |
Apr 17, 2023 | $39.44 | $39.95 | $38.93 | $39.93 | 698 145 |
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 NSA stock historical prices to predict future price movements?
Trend Analysis: Examine the NSA 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 NSA 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.