NYSE:IO
Delisted
Ion Geophysical Corporation Stock Price (Quote)
$0.120
+0 (+0%)
At Close: Jul 20, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.120 | $0.120 | Wednesday, 20th Jul 2022 IO stock ended at $0.120. During the day the stock fluctuated 0% from a day low at $0.120 to a day high of $0.120. |
90 days | $0.100 | $0.688 | |
52 weeks | $0.100 | $2.67 |
Date | Open | High | Low | Close | Volume |
Jan 19, 2022 | $0.90 | $0.91 | $0.86 | $0.87 | 962 200 |
Jan 18, 2022 | $1.03 | $1.07 | $0.86 | $0.95 | 10 482 500 |
Jan 14, 2022 | $0.84 | $0.87 | $0.83 | $0.85 | 561 600 |
Jan 13, 2022 | $0.89 | $0.92 | $0.86 | $0.86 | 259 400 |
Jan 12, 2022 | $0.91 | $1.05 | $0.90 | $0.91 | 1 595 000 |
Jan 11, 2022 | $0.85 | $0.91 | $0.85 | $0.91 | 409 200 |
Jan 10, 2022 | $0.89 | $0.94 | $0.81 | $0.86 | 1 727 200 |
Jan 07, 2022 | $0.91 | $0.93 | $0.88 | $0.89 | 297 500 |
Jan 06, 2022 | $0.93 | $0.97 | $0.87 | $0.90 | 231 800 |
Jan 05, 2022 | $1.01 | $1.04 | $0.92 | $0.93 | 251 936 |
Jan 04, 2022 | $0.99 | $1.02 | $0.96 | $1.00 | 377 862 |
Jan 03, 2022 | $0.87 | $0.99 | $0.86 | $0.97 | 634 170 |
Dec 31, 2021 | $0.90 | $0.90 | $0.85 | $0.88 | 965 011 |
Dec 30, 2021 | $0.92 | $0.96 | $0.89 | $0.90 | 725 724 |
Dec 29, 2021 | $0.97 | $0.98 | $0.91 | $0.91 | 1 123 454 |
Dec 28, 2021 | $1.04 | $1.05 | $0.98 | $0.98 | 1 286 307 |
Dec 27, 2021 | $1.05 | $1.07 | $1.02 | $1.03 | 637 621 |
Dec 23, 2021 | $1.02 | $1.06 | $1.01 | $1.04 | 810 851 |
Dec 22, 2021 | $1.03 | $1.08 | $1.01 | $1.03 | 755 545 |
Dec 21, 2021 | $1.13 | $1.15 | $1.03 | $1.05 | 1 407 133 |
Dec 20, 2021 | $1.22 | $1.25 | $1.09 | $1.11 | 1 276 676 |
Dec 17, 2021 | $1.19 | $1.28 | $1.17 | $1.28 | 1 742 262 |
Dec 16, 2021 | $1.44 | $1.46 | $1.38 | $1.38 | 453 572 |
Dec 15, 2021 | $1.40 | $1.40 | $1.28 | $1.38 | 366 558 |
Dec 14, 2021 | $1.40 | $1.46 | $1.35 | $1.36 | 603 008 |
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 IO stock historical prices to predict future price movements?
Trend Analysis: Examine the IO 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 IO 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.