NYSEMKT:NML
Neuberger Berman MLP Income Fund Inc Stock Price (Quote)
$7.72
+0.0300 (+0.390%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $7.06 | $7.85 | Friday, 17th May 2024 NML stock ended at $7.72. This is 0.390% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 0.91% from a day low at $7.66 to a day high of $7.73. |
90 days | $6.75 | $7.85 | |
52 weeks | $6.16 | $7.85 |
Date | Open | High | Low | Close | Volume |
Aug 16, 2016 | $8.74 | $8.93 | $8.70 | $8.89 | 494 805 |
Aug 15, 2016 | $8.68 | $8.78 | $8.68 | $8.74 | 200 137 |
Aug 12, 2016 | $8.54 | $8.70 | $8.46 | $8.67 | 301 539 |
Aug 11, 2016 | $8.39 | $8.55 | $8.36 | $8.47 | 187 589 |
Aug 10, 2016 | $8.56 | $8.61 | $8.41 | $8.44 | 283 061 |
Aug 09, 2016 | $8.61 | $8.68 | $8.52 | $8.59 | 187 781 |
Aug 08, 2016 | $8.51 | $8.58 | $8.46 | $8.58 | 236 160 |
Aug 05, 2016 | $8.34 | $8.44 | $8.28 | $8.43 | 224 382 |
Aug 04, 2016 | $8.27 | $8.41 | $8.27 | $8.31 | 267 819 |
Aug 03, 2016 | $8.07 | $8.34 | $8.07 | $8.33 | 243 724 |
Aug 02, 2016 | $8.16 | $8.38 | $7.96 | $8.04 | 352 188 |
Aug 01, 2016 | $8.58 | $8.58 | $8.26 | $8.30 | 307 004 |
Jul 29, 2016 | $8.58 | $8.58 | $8.45 | $8.55 | 167 518 |
Jul 28, 2016 | $8.45 | $8.56 | $8.29 | $8.49 | 177 217 |
Jul 27, 2016 | $8.59 | $8.61 | $8.42 | $8.45 | 175 976 |
Jul 26, 2016 | $8.37 | $8.56 | $8.36 | $8.43 | 212 917 |
Jul 25, 2016 | $8.56 | $8.56 | $8.41 | $8.45 | 142 953 |
Jul 22, 2016 | $8.44 | $8.60 | $8.40 | $8.59 | 237 937 |
Jul 21, 2016 | $8.52 | $8.67 | $8.40 | $8.47 | 301 510 |
Jul 20, 2016 | $8.31 | $8.56 | $8.26 | $8.52 | 234 116 |
Jul 19, 2016 | $8.39 | $8.39 | $8.29 | $8.38 | 198 029 |
Jul 18, 2016 | $8.34 | $8.41 | $8.27 | $8.36 | 261 059 |
Jul 15, 2016 | $8.43 | $8.45 | $8.29 | $8.33 | 291 069 |
Jul 14, 2016 | $8.45 | $8.45 | $8.25 | $8.39 | 312 377 |
Jul 13, 2016 | $8.50 | $8.57 | $8.30 | $8.32 | 289 475 |
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 NML stock historical prices to predict future price movements?
Trend Analysis: Examine the NML 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 NML 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.