NYSE:DSL
DoubleLine Income Solutions Fund Stock Price (Quote)
$12.57
+0.0200 (+0.159%)
At Close: May 22, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $11.97 | $12.75 | Wednesday, 22nd May 2024 DSL stock ended at $12.57. This is 0.159% more than the trading day before Tuesday, 21st May 2024. During the day the stock fluctuated 0.622% from a day low at $12.53 to a day high of $12.61. |
90 days | $11.85 | $12.96 | |
52 weeks | $10.22 | $12.96 |
Date | Open | High | Low | Close | Volume |
Feb 24, 2016 | $15.15 | $15.38 | $15.12 | $15.12 | 430 600 |
Feb 23, 2016 | $15.21 | $15.31 | $15.16 | $15.04 | 414 900 |
Feb 22, 2016 | $15.34 | $15.39 | $15.24 | $15.11 | 368 700 |
Feb 19, 2016 | $15.12 | $15.38 | $15.09 | $15.11 | 276 300 |
Feb 18, 2016 | $15.13 | $15.29 | $15.10 | $15.07 | 339 300 |
Feb 17, 2016 | $15.10 | $15.21 | $15.08 | $14.96 | 554 000 |
Feb 16, 2016 | $15.18 | $15.22 | $15.03 | $14.91 | 435 200 |
Feb 12, 2016 | $15.10 | $15.10 | $14.98 | $14.95 | 510 600 |
Feb 11, 2016 | $15.07 | $15.14 | $14.96 | $14.90 | 607 200 |
Feb 10, 2016 | $15.35 | $15.35 | $15.20 | $15.07 | 380 600 |
Feb 09, 2016 | $15.36 | $15.50 | $15.31 | $15.15 | 566 900 |
Feb 08, 2016 | $15.60 | $15.60 | $15.38 | $15.23 | 752 100 |
Feb 05, 2016 | $15.79 | $15.83 | $15.57 | $15.41 | 413 300 |
Feb 04, 2016 | $15.78 | $15.86 | $15.70 | $15.55 | 370 400 |
Feb 03, 2016 | $15.81 | $15.92 | $15.70 | $15.57 | 495 100 |
Feb 02, 2016 | $15.73 | $15.81 | $15.64 | $15.48 | 335 600 |
Feb 01, 2016 | $15.70 | $15.89 | $15.66 | $15.49 | 332 500 |
Jan 29, 2016 | $15.77 | $15.96 | $15.66 | $15.43 | 587 700 |
Jan 28, 2016 | $15.71 | $15.71 | $15.57 | $15.37 | 443 100 |
Jan 27, 2016 | $15.57 | $15.68 | $15.46 | $15.25 | 628 200 |
Jan 26, 2016 | $15.47 | $15.67 | $15.46 | $15.27 | 508 500 |
Jan 25, 2016 | $15.48 | $15.48 | $15.34 | $15.13 | 495 700 |
Jan 22, 2016 | $15.32 | $15.51 | $15.27 | $15.21 | 842 800 |
Jan 21, 2016 | $15.14 | $15.27 | $14.96 | $14.84 | 740 800 |
Jan 20, 2016 | $15.20 | $15.21 | $14.71 | $14.77 | 1 540 000 |
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 DSL stock historical prices to predict future price movements?
Trend Analysis: Examine the DSL 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 DSL 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.