NASDAQ:DCIX
Delisted
Diana Containerships Inc. Stock Price (Quote)
$3.28
+0 (+0%)
At Close: Jul 20, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.28 | $3.28 | Wednesday, 20th Jul 2022 DCIX stock ended at $3.28. During the day the stock fluctuated 0% from a day low at $3.28 to a day high of $3.28. |
90 days | $3.28 | $3.28 | |
52 weeks | $2.50 | $6.10 |
Date | Open | High | Low | Close | Volume |
Dec 20, 2018 | $0.690 | $0.700 | $0.579 | $0.608 | 508 914 |
Dec 19, 2018 | $0.714 | $0.725 | $0.670 | $0.678 | 172 286 |
Dec 18, 2018 | $0.670 | $0.750 | $0.660 | $0.700 | 213 338 |
Dec 17, 2018 | $0.701 | $0.737 | $0.630 | $0.650 | 470 630 |
Dec 14, 2018 | $0.760 | $0.776 | $0.705 | $0.710 | 504 469 |
Dec 13, 2018 | $0.792 | $0.80 | $0.752 | $0.752 | 237 189 |
Dec 12, 2018 | $0.780 | $0.82 | $0.770 | $0.80 | 311 005 |
Dec 11, 2018 | $0.750 | $0.84 | $0.745 | $0.770 | 547 496 |
Dec 10, 2018 | $0.770 | $0.785 | $0.740 | $0.748 | 350 286 |
Dec 07, 2018 | $0.770 | $0.85 | $0.700 | $0.785 | 643 853 |
Dec 06, 2018 | $0.770 | $0.80 | $0.750 | $0.780 | 376 379 |
Dec 04, 2018 | $0.85 | $0.85 | $0.730 | $0.789 | 557 727 |
Dec 03, 2018 | $0.90 | $0.92 | $0.80 | $0.86 | 928 857 |
Nov 30, 2018 | $0.94 | $0.94 | $0.88 | $0.89 | 704 873 |
Nov 29, 2018 | $0.95 | $0.97 | $0.94 | $0.94 | 338 700 |
Nov 28, 2018 | $0.98 | $0.98 | $0.95 | $0.96 | 558 352 |
Nov 27, 2018 | $0.96 | $0.99 | $0.91 | $0.98 | 786 583 |
Nov 26, 2018 | $1.07 | $1.07 | $0.91 | $0.99 | 2 201 393 |
Nov 23, 2018 | $1.11 | $1.17 | $1.06 | $1.07 | 2 712 698 |
Nov 21, 2018 | $1.35 | $1.41 | $1.28 | $1.33 | 1 183 223 |
Nov 20, 2018 | $1.41 | $1.41 | $1.27 | $1.33 | 1 185 605 |
Nov 19, 2018 | $1.40 | $1.44 | $1.38 | $1.41 | 580 784 |
Nov 16, 2018 | $1.37 | $1.45 | $1.36 | $1.38 | 648 286 |
Nov 15, 2018 | $1.40 | $1.45 | $1.35 | $1.43 | 828 354 |
Nov 14, 2018 | $1.57 | $1.57 | $1.35 | $1.43 | 1 797 614 |
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 DCIX stock historical prices to predict future price movements?
Trend Analysis: Examine the DCIX 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 DCIX 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.