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 |
Nov 13, 2018 | $1.56 | $1.68 | $1.50 | $1.60 | 2 134 535 |
Nov 12, 2018 | $1.61 | $1.62 | $1.43 | $1.47 | 1 946 804 |
Nov 09, 2018 | $1.41 | $1.70 | $1.41 | $1.67 | 2 869 945 |
Nov 08, 2018 | $1.54 | $1.54 | $1.40 | $1.41 | 2 122 891 |
Nov 07, 2018 | $1.66 | $1.72 | $1.56 | $1.62 | 1 331 780 |
Nov 06, 2018 | $1.75 | $1.78 | $1.58 | $1.76 | 2 186 917 |
Nov 05, 2018 | $1.95 | $1.97 | $1.65 | $1.67 | 3 137 958 |
Nov 02, 2018 | $2.18 | $2.18 | $1.77 | $2.10 | 2 988 583 |
Nov 01, 2018 | $2.22 | $2.38 | $2.11 | $2.19 | 4 439 050 |
Oct 31, 2018 | $2.01 | $2.29 | $1.94 | $2.16 | 4 174 955 |
Oct 30, 2018 | $2.04 | $2.25 | $1.93 | $2.04 | 4 420 214 |
Oct 29, 2018 | $2.00 | $2.48 | $1.90 | $2.05 | 14 299 641 |
Oct 26, 2018 | $1.64 | $1.84 | $1.55 | $1.76 | 4 407 427 |
Oct 25, 2018 | $1.55 | $1.69 | $1.51 | $1.58 | 1 299 211 |
Oct 24, 2018 | $1.51 | $1.82 | $1.50 | $1.54 | 3 282 648 |
Oct 23, 2018 | $1.51 | $1.67 | $1.37 | $1.52 | 2 466 387 |
Oct 22, 2018 | $1.57 | $2.13 | $1.52 | $1.57 | 14 151 008 |
Oct 19, 2018 | $1.36 | $1.65 | $1.33 | $1.38 | 2 730 956 |
Oct 18, 2018 | $1.26 | $1.37 | $1.24 | $1.33 | 1 075 507 |
Oct 17, 2018 | $1.23 | $1.29 | $1.16 | $1.27 | 231 603 |
Oct 16, 2018 | $1.24 | $1.33 | $1.20 | $1.22 | 499 867 |
Oct 15, 2018 | $1.16 | $1.36 | $1.13 | $1.29 | 1 198 997 |
Oct 12, 2018 | $1.11 | $1.15 | $1.10 | $1.15 | 231 923 |
Oct 11, 2018 | $1.12 | $1.15 | $1.07 | $1.08 | 374 899 |
Oct 10, 2018 | $1.20 | $1.20 | $1.11 | $1.13 | 248 664 |
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.