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 |
Feb 24, 2016 | $3.37 | $3.44 | $3.35 | $3.39 | 315 691 |
Feb 23, 2016 | $3.39 | $3.40 | $3.35 | $3.38 | 193 881 |
Feb 22, 2016 | $3.34 | $3.43 | $3.34 | $3.39 | 297 191 |
Feb 19, 2016 | $3.36 | $3.44 | $3.33 | $3.34 | 170 493 |
Feb 18, 2016 | $3.36 | $3.45 | $3.33 | $3.41 | 176 224 |
Feb 17, 2016 | $3.32 | $3.44 | $3.30 | $3.36 | 260 426 |
Feb 16, 2016 | $3.21 | $3.36 | $3.16 | $3.34 | 155 813 |
Feb 12, 2016 | $3.10 | $3.26 | $3.10 | $3.20 | 88 161 |
Feb 11, 2016 | $3.20 | $3.25 | $3.06 | $3.08 | 273 266 |
Feb 10, 2016 | $3.27 | $3.34 | $3.26 | $3.26 | 250 342 |
Feb 09, 2016 | $3.27 | $3.30 | $3.18 | $3.26 | 315 957 |
Feb 08, 2016 | $3.43 | $3.47 | $3.28 | $3.28 | 389 218 |
Feb 05, 2016 | $3.43 | $3.50 | $3.40 | $3.48 | 252 647 |
Feb 04, 2016 | $3.39 | $3.51 | $3.39 | $3.43 | 304 634 |
Feb 03, 2016 | $3.49 | $3.52 | $3.40 | $3.40 | 209 273 |
Feb 02, 2016 | $3.50 | $3.54 | $3.40 | $3.46 | 185 282 |
Feb 01, 2016 | $3.56 | $3.59 | $3.48 | $3.52 | 210 974 |
Jan 29, 2016 | $3.30 | $3.59 | $3.28 | $3.56 | 451 365 |
Jan 28, 2016 | $3.25 | $3.32 | $3.21 | $3.25 | 267 816 |
Jan 27, 2016 | $3.30 | $3.30 | $3.17 | $3.23 | 226 758 |
Jan 26, 2016 | $3.18 | $3.39 | $3.12 | $3.28 | 281 919 |
Jan 25, 2016 | $3.49 | $3.52 | $3.18 | $3.18 | 353 698 |
Jan 22, 2016 | $3.30 | $3.57 | $3.17 | $3.52 | 751 353 |
Jan 21, 2016 | $2.90 | $3.42 | $2.85 | $3.29 | 1 116 855 |
Jan 20, 2016 | $2.95 | $2.95 | $2.55 | $2.90 | 1 178 823 |
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.