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 |
Jul 12, 2016 | $8.50 | $8.71 | $8.50 | $8.55 | 320 431 |
Jul 11, 2016 | $8.58 | $8.62 | $8.38 | $8.42 | 268 545 |
Jul 08, 2016 | $8.41 | $8.48 | $8.31 | $8.48 | 130 178 |
Jul 07, 2016 | $8.40 | $8.57 | $8.30 | $8.37 | 172 295 |
Jul 06, 2016 | $8.24 | $8.31 | $8.10 | $8.30 | 137 287 |
Jul 05, 2016 | $8.27 | $8.27 | $8.12 | $8.26 | 106 621 |
Jul 01, 2016 | $8.49 | $8.49 | $8.35 | $8.36 | 190 656 |
Jun 30, 2016 | $8.44 | $8.46 | $8.26 | $8.46 | 209 498 |
Jun 29, 2016 | $8.15 | $8.38 | $8.15 | $8.36 | 169 152 |
Jun 28, 2016 | $7.86 | $8.19 | $7.84 | $8.12 | 255 391 |
Jun 27, 2016 | $8.16 | $8.16 | $7.70 | $7.70 | 231 962 |
Jun 24, 2016 | $7.92 | $8.42 | $7.92 | $8.16 | 189 395 |
Jun 23, 2016 | $8.48 | $8.50 | $8.33 | $8.49 | 250 727 |
Jun 22, 2016 | $8.17 | $8.38 | $8.11 | $8.28 | 253 112 |
Jun 21, 2016 | $7.91 | $8.16 | $7.87 | $8.16 | 288 644 |
Jun 20, 2016 | $8.02 | $8.07 | $7.92 | $7.94 | 238 887 |
Jun 17, 2016 | $7.91 | $7.97 | $7.82 | $7.89 | 240 947 |
Jun 16, 2016 | $7.69 | $7.86 | $7.56 | $7.85 | 197 614 |
Jun 15, 2016 | $7.72 | $7.88 | $7.69 | $7.81 | 253 331 |
Jun 14, 2016 | $7.86 | $7.91 | $7.70 | $7.78 | 154 843 |
Jun 13, 2016 | $7.99 | $8.05 | $7.88 | $7.91 | 162 302 |
Jun 10, 2016 | $8.32 | $8.43 | $8.07 | $8.09 | 249 106 |
Jun 09, 2016 | $8.50 | $8.55 | $8.45 | $8.52 | 160 432 |
Jun 08, 2016 | $8.58 | $8.74 | $8.55 | $8.61 | 448 294 |
Jun 07, 2016 | $8.30 | $8.49 | $8.30 | $8.48 | 569 953 |
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.