NYSE:NSL
Delisted
Nuveen Senior Income Fund Stock Price (Quote)
$4.60
+0 (+0%)
At Close: Oct 27, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $4.60 | $4.60 | Friday, 27th Oct 2023 NSL stock ended at $4.60. During the day the stock fluctuated 0% from a day low at $4.60 to a day high of $4.60. |
90 days | $4.60 | $4.60 | |
52 weeks | $4.41 | $5.01 |
Date | Open | High | Low | Close | Volume |
Jan 10, 2023 | $4.70 | $4.75 | $4.70 | $4.75 | 148 800 |
Jan 09, 2023 | $4.72 | $4.75 | $4.70 | $4.72 | 165 602 |
Jan 06, 2023 | $4.65 | $4.72 | $4.65 | $4.72 | 184 200 |
Jan 05, 2023 | $4.65 | $4.66 | $4.63 | $4.64 | 90 873 |
Jan 04, 2023 | $4.65 | $4.68 | $4.64 | $4.68 | 164 523 |
Jan 03, 2023 | $4.60 | $4.64 | $4.59 | $4.64 | 180 314 |
Dec 30, 2022 | $4.60 | $4.63 | $4.56 | $4.59 | 226 909 |
Dec 29, 2022 | $4.56 | $4.60 | $4.54 | $4.59 | 179 697 |
Dec 28, 2022 | $4.60 | $4.60 | $4.54 | $4.56 | 284 514 |
Dec 27, 2022 | $4.61 | $4.64 | $4.60 | $4.61 | 153 124 |
Dec 23, 2022 | $4.61 | $4.64 | $4.61 | $4.63 | 81 536 |
Dec 22, 2022 | $4.56 | $4.61 | $4.56 | $4.60 | 162 390 |
Dec 21, 2022 | $4.61 | $4.62 | $4.57 | $4.59 | 276 711 |
Dec 20, 2022 | $4.56 | $4.60 | $4.55 | $4.57 | 143 743 |
Dec 19, 2022 | $4.62 | $4.63 | $4.57 | $4.58 | 463 377 |
Dec 16, 2022 | $4.64 | $4.66 | $4.62 | $4.63 | 320 564 |
Dec 15, 2022 | $4.66 | $4.69 | $4.65 | $4.68 | 185 312 |
Dec 14, 2022 | $4.73 | $4.75 | $4.68 | $4.69 | 164 512 |
Dec 13, 2022 | $4.80 | $4.90 | $4.76 | $4.78 | 166 696 |
Dec 12, 2022 | $4.74 | $4.79 | $4.73 | $4.77 | 108 811 |
Dec 09, 2022 | $4.79 | $4.79 | $4.75 | $4.75 | 201 558 |
Dec 08, 2022 | $4.81 | $4.83 | $4.79 | $4.80 | 145 350 |
Dec 07, 2022 | $4.77 | $4.85 | $4.77 | $4.81 | 156 450 |
Dec 06, 2022 | $4.81 | $4.83 | $4.78 | $4.78 | 155 996 |
Dec 05, 2022 | $4.85 | $4.86 | $4.81 | $4.83 | 139 765 |
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 NSL stock historical prices to predict future price movements?
Trend Analysis: Examine the NSL 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 NSL 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.