NASDAQ:DSKEW
Delisted
Hennessy Capital Acquisition Corp. II Stock Price (Quote)
$0.0100
+0 (+0%)
At Close: Jul 19, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0100 | $0.0100 | Tuesday, 19th Jul 2022 DSKEW stock ended at $0.0100. During the day the stock fluctuated 0% from a day low at $0.0100 to a day high of $0.0100. |
90 days | $0.0100 | $0.0100 | |
52 weeks | $0.0090 | $0.330 |
Date | Open | High | Low | Close | Volume |
Dec 10, 2021 | $0.150 | $0.179 | $0.141 | $0.170 | 52 678 |
Dec 09, 2021 | $0.195 | $0.195 | $0.153 | $0.153 | 73 739 |
Dec 08, 2021 | $0.160 | $0.170 | $0.150 | $0.170 | 71 886 |
Dec 07, 2021 | $0.155 | $0.176 | $0.150 | $0.150 | 124 495 |
Dec 06, 2021 | $0.137 | $0.155 | $0.137 | $0.150 | 23 363 |
Dec 03, 2021 | $0.155 | $0.186 | $0.135 | $0.140 | 30 878 |
Dec 02, 2021 | $0.150 | $0.180 | $0.141 | $0.150 | 73 669 |
Dec 01, 2021 | $0.167 | $0.194 | $0.130 | $0.141 | 236 834 |
Nov 30, 2021 | $0.182 | $0.182 | $0.150 | $0.167 | 240 462 |
Nov 29, 2021 | $0.218 | $0.243 | $0.180 | $0.182 | 157 334 |
Nov 26, 2021 | $0.232 | $0.232 | $0.185 | $0.217 | 169 530 |
Nov 24, 2021 | $0.246 | $0.280 | $0.246 | $0.256 | 63 156 |
Nov 23, 2021 | $0.240 | $0.284 | $0.236 | $0.250 | 198 691 |
Nov 22, 2021 | $0.250 | $0.286 | $0.232 | $0.232 | 154 422 |
Nov 19, 2021 | $0.254 | $0.296 | $0.231 | $0.243 | 321 755 |
Nov 18, 2021 | $0.260 | $0.280 | $0.238 | $0.254 | 131 597 |
Nov 17, 2021 | $0.231 | $0.290 | $0.231 | $0.260 | 379 571 |
Nov 16, 2021 | $0.234 | $0.290 | $0.210 | $0.266 | 699 301 |
Nov 15, 2021 | $0.220 | $0.245 | $0.190 | $0.210 | 272 934 |
Nov 12, 2021 | $0.189 | $0.230 | $0.189 | $0.215 | 767 846 |
Nov 11, 2021 | $0.184 | $0.188 | $0.176 | $0.180 | 38 215 |
Nov 10, 2021 | $0.220 | $0.220 | $0.180 | $0.181 | 168 821 |
Nov 09, 2021 | $0.190 | $0.220 | $0.190 | $0.200 | 82 209 |
Nov 08, 2021 | $0.190 | $0.210 | $0.180 | $0.190 | 169 009 |
Nov 05, 2021 | $0.180 | $0.200 | $0.180 | $0.190 | 181 852 |
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 DSKEW stock historical prices to predict future price movements?
Trend Analysis: Examine the DSKEW 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 DSKEW 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.