NYSE:DSX
Diana Shipping Stock Price (Quote)
$3.15
-0.0100 (-0.316%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.87 | $3.19 | Friday, 17th May 2024 DSX stock ended at $3.15. This is 0.316% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 0.94% from a day low at $3.13 to a day high of $3.16. |
90 days | $2.81 | $3.19 | |
52 weeks | $2.81 | $4.16 |
Date | Open | High | Low | Close | Volume |
Nov 16, 2023 | $3.30 | $3.41 | $3.28 | $3.38 | 702 685 |
Nov 15, 2023 | $3.13 | $3.30 | $3.13 | $3.27 | 801 396 |
Nov 14, 2023 | $3.06 | $3.11 | $3.03 | $3.09 | 473 696 |
Nov 13, 2023 | $3.08 | $3.08 | $3.01 | $3.03 | 336 165 |
Nov 10, 2023 | $3.06 | $3.08 | $3.03 | $3.06 | 369 713 |
Nov 09, 2023 | $3.08 | $3.12 | $3.07 | $3.08 | 341 224 |
Nov 08, 2023 | $3.18 | $3.18 | $3.07 | $3.07 | 432 729 |
Nov 07, 2023 | $3.23 | $3.23 | $3.18 | $3.20 | 300 159 |
Nov 06, 2023 | $3.27 | $3.30 | $3.20 | $3.22 | 268 313 |
Nov 03, 2023 | $3.30 | $3.31 | $3.25 | $3.29 | 338 033 |
Nov 02, 2023 | $3.21 | $3.29 | $3.21 | $3.28 | 415 841 |
Nov 01, 2023 | $3.26 | $3.27 | $3.17 | $3.20 | 610 576 |
Oct 31, 2023 | $3.26 | $3.32 | $3.25 | $3.25 | 207 865 |
Oct 30, 2023 | $3.25 | $3.31 | $3.24 | $3.26 | 426 624 |
Oct 27, 2023 | $3.29 | $3.35 | $3.28 | $3.30 | 292 322 |
Oct 26, 2023 | $3.34 | $3.34 | $3.29 | $3.30 | 308 045 |
Oct 25, 2023 | $3.31 | $3.41 | $3.31 | $3.37 | 381 469 |
Oct 24, 2023 | $3.25 | $3.37 | $3.25 | $3.34 | 280 461 |
Oct 23, 2023 | $3.32 | $3.34 | $3.23 | $3.25 | 660 672 |
Oct 20, 2023 | $3.37 | $3.39 | $3.32 | $3.35 | 392 523 |
Oct 19, 2023 | $3.39 | $3.39 | $3.34 | $3.36 | 271 737 |
Oct 18, 2023 | $3.45 | $3.45 | $3.39 | $3.39 | 210 625 |
Oct 17, 2023 | $3.42 | $3.48 | $3.40 | $3.46 | 273 277 |
Oct 16, 2023 | $3.38 | $3.43 | $3.38 | $3.42 | 204 970 |
Oct 13, 2023 | $3.41 | $3.46 | $3.39 | $3.39 | 210 209 |
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 DSX stock historical prices to predict future price movements?
Trend Analysis: Examine the DSX 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 DSX 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.