NYSE:DPW
Delisted
DPW Holdings, Inc. Stock Price (Quote)
$0.280
+0 (+0%)
At Close: Aug 17, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.280 | $0.280 | Wednesday, 17th Aug 2022 DPW stock ended at $0.280. During the day the stock fluctuated 0% from a day low at $0.280 to a day high of $0.280. |
90 days | $0.231 | $0.438 | |
52 weeks | $0.225 | $2.95 |
Date | Open | High | Low | Close | Volume |
May 06, 2020 | $1.09 | $1.27 | $1.08 | $1.16 | 900 464 |
May 05, 2020 | $1.16 | $1.17 | $1.07 | $1.10 | 250 716 |
May 04, 2020 | $1.13 | $1.19 | $1.08 | $1.14 | 151 618 |
May 01, 2020 | $1.15 | $1.18 | $1.06 | $1.10 | 317 954 |
Apr 30, 2020 | $1.29 | $1.31 | $1.20 | $1.23 | 315 588 |
Apr 29, 2020 | $1.23 | $1.36 | $1.22 | $1.24 | 930 243 |
Apr 28, 2020 | $1.18 | $1.27 | $1.18 | $1.20 | 275 432 |
Apr 27, 2020 | $1.21 | $1.23 | $1.15 | $1.20 | 205 622 |
Apr 24, 2020 | $1.24 | $1.24 | $1.08 | $1.21 | 373 993 |
Apr 23, 2020 | $1.10 | $1.46 | $1.08 | $1.25 | 1 330 943 |
Apr 22, 2020 | $1.08 | $1.13 | $1.02 | $1.12 | 292 318 |
Apr 21, 2020 | $1.11 | $1.18 | $1.02 | $1.10 | 483 916 |
Apr 20, 2020 | $1.12 | $1.23 | $1.08 | $1.12 | 684 091 |
Apr 17, 2020 | $1.16 | $1.16 | $1.11 | $1.13 | 172 006 |
Apr 16, 2020 | $1.19 | $1.19 | $1.09 | $1.15 | 245 929 |
Apr 15, 2020 | $1.09 | $1.19 | $1.04 | $1.18 | 506 485 |
Apr 14, 2020 | $1.08 | $1.11 | $1.02 | $1.11 | 337 012 |
Apr 13, 2020 | $1.13 | $1.14 | $1.01 | $1.06 | 639 438 |
Apr 09, 2020 | $1.18 | $1.21 | $1.13 | $1.13 | 1 073 604 |
Apr 08, 2020 | $1.26 | $1.30 | $1.11 | $1.24 | 3 327 648 |
Apr 07, 2020 | $1.28 | $1.95 | $1.11 | $1.54 | 54 366 727 |
Apr 06, 2020 | $0.744 | $0.81 | $0.730 | $0.80 | 178 879 |
Apr 03, 2020 | $0.791 | $0.80 | $0.720 | $0.730 | 151 694 |
Apr 02, 2020 | $0.710 | $0.86 | $0.710 | $0.80 | 398 581 |
Apr 01, 2020 | $1.10 | $1.10 | $0.780 | $0.85 | 2 548 454 |
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 DPW stock historical prices to predict future price movements?
Trend Analysis: Examine the DPW 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 DPW 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.