NYSE:DS
Delisted
Drive Shack Inc. Stock Price (Quote)
$0.214
+0 (+0%)
At Close: Apr 19, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.214 | $0.214 | Wednesday, 19th Apr 2023 DS stock ended at $0.214. During the day the stock fluctuated 0% from a day low at $0.214 to a day high of $0.214. |
90 days | $0.202 | $0.230 | |
52 weeks | $0.153 | $1.97 |
Date | Open | High | Low | Close | Volume |
May 25, 2022 | $1.29 | $1.35 | $1.26 | $1.32 | 566 742 |
May 24, 2022 | $1.40 | $1.42 | $1.24 | $1.29 | 882 930 |
May 23, 2022 | $1.54 | $1.54 | $1.42 | $1.45 | 488 352 |
May 20, 2022 | $1.53 | $1.60 | $1.45 | $1.50 | 733 265 |
May 19, 2022 | $1.58 | $1.62 | $1.48 | $1.50 | 1 221 189 |
May 18, 2022 | $1.73 | $1.73 | $1.53 | $1.55 | 1 388 689 |
May 17, 2022 | $1.60 | $1.74 | $1.60 | $1.65 | 1 739 894 |
May 16, 2022 | $1.53 | $1.76 | $1.51 | $1.58 | 3 400 787 |
May 13, 2022 | $1.28 | $1.51 | $1.28 | $1.51 | 3 077 382 |
May 12, 2022 | $1.12 | $1.29 | $1.04 | $1.29 | 2 667 644 |
May 11, 2022 | $1.06 | $1.16 | $1.03 | $1.16 | 2 617 375 |
May 10, 2022 | $1.13 | $1.20 | $1.01 | $1.05 | 1 678 381 |
May 09, 2022 | $1.17 | $1.17 | $1.10 | $1.13 | 1 207 150 |
May 06, 2022 | $1.21 | $1.23 | $1.18 | $1.19 | 749 767 |
May 05, 2022 | $1.32 | $1.33 | $1.22 | $1.23 | 536 792 |
May 04, 2022 | $1.30 | $1.36 | $1.26 | $1.36 | 758 812 |
May 03, 2022 | $1.23 | $1.37 | $1.21 | $1.32 | 1 250 074 |
May 02, 2022 | $1.23 | $1.24 | $1.16 | $1.22 | 947 504 |
Apr 29, 2022 | $1.26 | $1.29 | $1.22 | $1.23 | 743 883 |
Apr 28, 2022 | $1.22 | $1.25 | $1.20 | $1.23 | 779 313 |
Apr 27, 2022 | $1.23 | $1.25 | $1.22 | $1.22 | 1 168 221 |
Apr 26, 2022 | $1.26 | $1.27 | $1.20 | $1.22 | 1 139 112 |
Apr 25, 2022 | $1.23 | $1.29 | $1.23 | $1.28 | 558 870 |
Apr 22, 2022 | $1.24 | $1.26 | $1.23 | $1.25 | 685 300 |
Apr 21, 2022 | $1.27 | $1.32 | $1.23 | $1.25 | 1 208 100 |
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 DS stock historical prices to predict future price movements?
Trend Analysis: Examine the DS 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 DS 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.