NYSE:OBE
Delisted
Obsidian Energy Ltd. Stock Price (Quote)
$0.163
+0 (+0%)
At Close: Apr 16, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.153 | $0.230 | Thursday, 16th Apr 2020 OBE stock ended at $0.163. During the day the stock fluctuated 0% from a day low at $0.163 to a day high of $0.163. |
90 days | $0.153 | $0.95 | |
52 weeks | $0.153 | $1.70 |
Date | Open | High | Low | Close | Volume |
Apr 16, 2020 | $0.163 | $0.163 | $0.163 | $0.163 | 0 |
Apr 15, 2020 | $0.163 | $0.163 | $0.163 | $0.163 | 0 |
Apr 14, 2020 | $0.163 | $0.163 | $0.163 | $0.163 | 0 |
Apr 13, 2020 | $0.163 | $0.163 | $0.163 | $0.163 | 0 |
Apr 09, 2020 | $0.163 | $0.163 | $0.163 | $0.163 | 0 |
Apr 08, 2020 | $0.163 | $0.163 | $0.163 | $0.163 | 0 |
Apr 07, 2020 | $0.163 | $0.163 | $0.163 | $0.163 | 0 |
Apr 06, 2020 | $0.163 | $0.163 | $0.163 | $0.163 | 0 |
Apr 03, 2020 | $0.163 | $0.163 | $0.163 | $0.163 | 0 |
Apr 02, 2020 | $0.163 | $0.163 | $0.163 | $0.163 | 0 |
Apr 01, 2020 | $0.179 | $0.179 | $0.160 | $0.163 | 356 229 |
Mar 31, 2020 | $0.180 | $0.180 | $0.154 | $0.166 | 553 702 |
Mar 30, 2020 | $0.184 | $0.189 | $0.153 | $0.171 | 1 478 563 |
Mar 27, 2020 | $0.200 | $0.200 | $0.158 | $0.159 | 1 475 779 |
Mar 26, 2020 | $0.205 | $0.205 | $0.176 | $0.189 | 428 872 |
Mar 25, 2020 | $0.185 | $0.205 | $0.170 | $0.189 | 559 555 |
Mar 24, 2020 | $0.170 | $0.195 | $0.164 | $0.183 | 377 748 |
Mar 23, 2020 | $0.190 | $0.198 | $0.171 | $0.179 | 250 491 |
Mar 20, 2020 | $0.187 | $0.203 | $0.170 | $0.196 | 174 943 |
Mar 19, 2020 | $0.194 | $0.200 | $0.153 | $0.173 | 728 881 |
Mar 18, 2020 | $0.220 | $0.220 | $0.171 | $0.185 | 303 007 |
Mar 17, 2020 | $0.200 | $0.230 | $0.190 | $0.208 | 192 363 |
Mar 16, 2020 | $0.240 | $0.240 | $0.170 | $0.200 | 685 393 |
Mar 13, 2020 | $0.314 | $0.314 | $0.190 | $0.226 | 570 701 |
Mar 12, 2020 | $0.220 | $0.240 | $0.186 | $0.225 | 184 785 |
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 OBE stock historical prices to predict future price movements?
Trend Analysis: Examine the OBE 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 OBE 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.