NYSE:CSPR
Delisted
Casper Sleep Inc Stock Price (Quote)
$6.78
+0 (+0%)
At Close: Aug 17, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $6.78 | $6.78 | Wednesday, 17th Aug 2022 CSPR stock ended at $6.78. During the day the stock fluctuated 0% from a day low at $6.78 to a day high of $6.78. |
90 days | $6.78 | $6.78 | |
52 weeks | $3.18 | $6.79 |
Date | Open | High | Low | Close | Volume |
Mar 31, 2020 | $4.15 | $4.38 | $4.03 | $4.29 | 282 271 |
Mar 30, 2020 | $4.05 | $4.20 | $3.74 | $4.17 | 410 616 |
Mar 27, 2020 | $4.61 | $4.61 | $3.95 | $4.00 | 805 933 |
Mar 26, 2020 | $3.96 | $4.74 | $3.92 | $4.69 | 1 094 872 |
Mar 25, 2020 | $3.90 | $4.00 | $3.52 | $3.92 | 507 631 |
Mar 24, 2020 | $3.68 | $3.77 | $3.43 | $3.77 | 589 145 |
Mar 23, 2020 | $3.31 | $3.54 | $3.18 | $3.48 | 767 799 |
Mar 20, 2020 | $3.41 | $4.20 | $3.18 | $3.18 | 996 197 |
Mar 19, 2020 | $3.73 | $4.43 | $3.15 | $3.63 | 609 532 |
Mar 18, 2020 | $4.19 | $4.31 | $3.28 | $3.50 | 517 308 |
Mar 17, 2020 | $4.64 | $4.97 | $4.41 | $4.45 | 689 256 |
Mar 16, 2020 | $5.33 | $5.33 | $4.05 | $4.64 | 834 598 |
Mar 13, 2020 | $5.28 | $5.95 | $4.78 | $5.79 | 608 637 |
Mar 12, 2020 | $5.45 | $5.45 | $4.94 | $5.09 | 556 792 |
Mar 11, 2020 | $6.22 | $6.22 | $5.85 | $5.85 | 495 418 |
Mar 10, 2020 | $6.74 | $6.85 | $6.10 | $6.34 | 377 944 |
Mar 09, 2020 | $6.70 | $6.75 | $6.01 | $6.41 | 1 218 362 |
Mar 06, 2020 | $8.53 | $8.65 | $7.89 | $8.05 | 519 628 |
Mar 05, 2020 | $9.14 | $9.27 | $8.63 | $8.77 | 226 251 |
Mar 04, 2020 | $9.29 | $9.41 | $8.90 | $9.32 | 299 108 |
Mar 03, 2020 | $9.05 | $9.25 | $8.87 | $9.06 | 279 030 |
Mar 02, 2020 | $9.10 | $9.27 | $8.50 | $9.04 | 454 902 |
Feb 28, 2020 | $8.50 | $9.65 | $8.00 | $9.02 | 889 922 |
Feb 27, 2020 | $9.40 | $9.60 | $8.85 | $9.04 | 716 251 |
Feb 26, 2020 | $9.79 | $9.91 | $9.51 | $9.68 | 395 227 |
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 CSPR stock historical prices to predict future price movements?
Trend Analysis: Examine the CSPR 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 CSPR 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.