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 |
Oct 07, 2022 | $0.175 | $0.178 | $0.166 | $0.174 | 1 011 476 |
Oct 06, 2022 | $0.180 | $0.180 | $0.165 | $0.170 | 549 701 |
Oct 05, 2022 | $0.180 | $0.180 | $0.167 | $0.178 | 1 057 202 |
Oct 04, 2022 | $0.160 | $0.172 | $0.160 | $0.170 | 956 761 |
Oct 03, 2022 | $0.145 | $0.170 | $0.145 | $0.154 | 883 150 |
Sep 30, 2022 | $0.150 | $0.150 | $0.140 | $0.142 | 882 325 |
Sep 29, 2022 | $0.144 | $0.151 | $0.140 | $0.144 | 433 250 |
Sep 28, 2022 | $0.143 | $0.150 | $0.140 | $0.147 | 635 941 |
Sep 27, 2022 | $0.143 | $0.150 | $0.136 | $0.140 | 712 890 |
Sep 26, 2022 | $0.137 | $0.159 | $0.133 | $0.143 | 957 085 |
Sep 23, 2022 | $0.140 | $0.142 | $0.130 | $0.141 | 1 089 678 |
Sep 22, 2022 | $0.151 | $0.155 | $0.140 | $0.147 | 1 619 919 |
Sep 21, 2022 | $0.161 | $0.164 | $0.153 | $0.155 | 1 205 610 |
Sep 20, 2022 | $0.167 | $0.167 | $0.160 | $0.160 | 897 850 |
Sep 19, 2022 | $0.162 | $0.171 | $0.160 | $0.160 | 1 113 802 |
Sep 16, 2022 | $0.180 | $0.181 | $0.162 | $0.162 | 1 426 066 |
Sep 15, 2022 | $0.173 | $0.181 | $0.170 | $0.178 | 659 036 |
Sep 14, 2022 | $0.192 | $0.192 | $0.173 | $0.178 | 1 470 454 |
Sep 13, 2022 | $0.196 | $0.198 | $0.181 | $0.183 | 2 587 084 |
Sep 12, 2022 | $0.184 | $0.200 | $0.178 | $0.197 | 2 786 537 |
Sep 09, 2022 | $0.170 | $0.187 | $0.170 | $0.176 | 2 201 910 |
Sep 08, 2022 | $0.170 | $0.171 | $0.162 | $0.170 | 1 604 662 |
Sep 07, 2022 | $0.172 | $0.172 | $0.170 | $0.171 | 815 459 |
Sep 06, 2022 | $0.176 | $0.176 | $0.165 | $0.169 | 1 818 174 |
Sep 02, 2022 | $0.182 | $0.187 | $0.162 | $0.166 | 2 558 921 |
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.