NYSE:NUV
Nuveen AMT-Free Municipal Value Fund Stock Price (Quote)
$8.52
+0 (+0%)
At Close: Jun 04, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $8.35 | $8.73 | Tuesday, 4th Jun 2024 NUV stock ended at $8.52. During the day the stock fluctuated 0.82% from a day low at $8.50 to a day high of $8.57. |
90 days | $8.35 | $8.78 | |
52 weeks | $7.86 | $8.93 |
Historical Nuveen AMT-Free Municipal Value Fund prices
Date | Open | High | Low | Close | Volume |
Dec 19, 2016 | $9.50 | $9.52 | $9.46 | $9.50 | 893 555 |
Dec 16, 2016 | $9.48 | $9.53 | $9.45 | $9.49 | 595 376 |
Dec 15, 2016 | $9.49 | $9.53 | $9.43 | $9.49 | 1 237 902 |
Dec 14, 2016 | $9.55 | $9.58 | $9.52 | $9.52 | 775 738 |
Dec 13, 2016 | $9.47 | $9.58 | $9.44 | $9.54 | 878 200 |
Dec 12, 2016 | $9.49 | $9.52 | $9.43 | $9.50 | 638 558 |
Dec 09, 2016 | $9.48 | $9.52 | $9.45 | $9.52 | 757 344 |
Dec 08, 2016 | $9.53 | $9.55 | $9.48 | $9.50 | 699 758 |
Dec 07, 2016 | $9.50 | $9.63 | $9.50 | $9.59 | 786 779 |
Dec 06, 2016 | $9.34 | $9.50 | $9.34 | $9.47 | 1 021 983 |
Dec 05, 2016 | $9.42 | $9.42 | $9.35 | $9.35 | 559 566 |
Dec 02, 2016 | $9.35 | $9.42 | $9.35 | $9.41 | 549 918 |
Dec 01, 2016 | $9.38 | $9.45 | $9.35 | $9.38 | 798 363 |
Nov 30, 2016 | $9.48 | $9.50 | $9.41 | $9.46 | 728 716 |
Nov 29, 2016 | $9.47 | $9.55 | $9.47 | $9.54 | 651 562 |
Nov 28, 2016 | $9.48 | $9.55 | $9.46 | $9.50 | 478 217 |
Nov 25, 2016 | $9.49 | $9.52 | $9.46 | $9.46 | 234 196 |
Nov 23, 2016 | $9.47 | $9.54 | $9.46 | $9.51 | 464 766 |
Nov 22, 2016 | $9.62 | $9.62 | $9.50 | $9.53 | 492 512 |
Nov 21, 2016 | $9.48 | $9.57 | $9.48 | $9.57 | 613 994 |
Nov 18, 2016 | $9.50 | $9.52 | $9.45 | $9.45 | 670 928 |
Nov 17, 2016 | $9.57 | $9.62 | $9.52 | $9.53 | 615 224 |
Nov 16, 2016 | $9.57 | $9.67 | $9.56 | $9.63 | 734 975 |
Nov 15, 2016 | $9.52 | $9.62 | $9.46 | $9.55 | 1 045 291 |
Nov 14, 2016 | $9.57 | $9.57 | $9.37 | $9.50 | 1 446 017 |
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 NUV stock historical prices to predict future price movements?
Trend Analysis: Examine the NUV 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 NUV 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.