NASDAQ:OBSV
Delisted
ObsEva SA Stock Price (Quote)
$0.102
+0 (+0%)
At Close: Jun 21, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.102 | $0.102 | Wednesday, 21st Jun 2023 OBSV stock ended at $0.102. During the day the stock fluctuated 0% from a day low at $0.102 to a day high of $0.102. |
90 days | $0.102 | $0.102 | |
52 weeks | $0.0800 | $1.92 |
Date | Open | High | Low | Close | Volume |
Mar 03, 2023 | $0.209 | $0.287 | $0.176 | $0.230 | 194 226 043 |
Mar 02, 2023 | $0.115 | $0.117 | $0.100 | $0.106 | 5 844 493 |
Mar 01, 2023 | $0.122 | $0.130 | $0.113 | $0.121 | 8 716 756 |
Feb 28, 2023 | $0.110 | $0.147 | $0.102 | $0.138 | 29 014 306 |
Feb 27, 2023 | $0.133 | $0.135 | $0.0920 | $0.0964 | 34 872 963 |
Feb 24, 2023 | $0.129 | $0.129 | $0.0800 | $0.0830 | 18 724 440 |
Feb 23, 2023 | $0.185 | $0.185 | $0.160 | $0.169 | 742 441 |
Feb 22, 2023 | $0.180 | $0.180 | $0.170 | $0.175 | 272 564 |
Feb 21, 2023 | $0.195 | $0.195 | $0.170 | $0.174 | 742 026 |
Feb 17, 2023 | $0.193 | $0.195 | $0.180 | $0.183 | 454 686 |
Feb 16, 2023 | $0.210 | $0.210 | $0.190 | $0.193 | 188 315 |
Feb 15, 2023 | $0.194 | $0.200 | $0.188 | $0.200 | 384 115 |
Feb 14, 2023 | $0.190 | $0.200 | $0.185 | $0.193 | 355 988 |
Feb 13, 2023 | $0.209 | $0.210 | $0.184 | $0.190 | 341 365 |
Feb 10, 2023 | $0.199 | $0.209 | $0.183 | $0.200 | 451 683 |
Feb 09, 2023 | $0.201 | $0.215 | $0.200 | $0.200 | 292 236 |
Feb 08, 2023 | $0.210 | $0.210 | $0.198 | $0.204 | 345 537 |
Feb 07, 2023 | $0.220 | $0.220 | $0.200 | $0.210 | 520 124 |
Feb 06, 2023 | $0.215 | $0.215 | $0.205 | $0.213 | 423 367 |
Feb 03, 2023 | $0.220 | $0.223 | $0.210 | $0.212 | 819 394 |
Feb 02, 2023 | $0.203 | $0.219 | $0.203 | $0.215 | 478 676 |
Feb 01, 2023 | $0.215 | $0.219 | $0.205 | $0.212 | 492 832 |
Jan 31, 2023 | $0.220 | $0.220 | $0.205 | $0.219 | 629 802 |
Jan 30, 2023 | $0.213 | $0.220 | $0.200 | $0.220 | 668 400 |
Jan 27, 2023 | $0.207 | $0.214 | $0.204 | $0.213 | 821 675 |
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 OBSV stock historical prices to predict future price movements?
Trend Analysis: Examine the OBSV 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 OBSV 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.