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 |
Oct 01, 2021 | $1.33 | $1.39 | $1.32 | $1.38 | 478 113 |
Sep 30, 2021 | $1.32 | $1.36 | $1.31 | $1.33 | 370 140 |
Sep 29, 2021 | $1.41 | $1.44 | $1.28 | $1.30 | 740 013 |
Sep 28, 2021 | $1.39 | $1.52 | $1.36 | $1.41 | 901 359 |
Sep 27, 2021 | $1.34 | $1.43 | $1.34 | $1.38 | 948 625 |
Sep 24, 2021 | $1.28 | $1.38 | $1.28 | $1.30 | 472 353 |
Sep 23, 2021 | $1.34 | $1.38 | $1.31 | $1.34 | 612 497 |
Sep 22, 2021 | $1.24 | $1.35 | $1.24 | $1.32 | 1 017 975 |
Sep 21, 2021 | $1.30 | $1.33 | $1.21 | $1.23 | 1 153 083 |
Sep 20, 2021 | $1.40 | $1.43 | $1.30 | $1.34 | 1 163 967 |
Sep 17, 2021 | $1.45 | $1.53 | $1.41 | $1.46 | 1 905 398 |
Sep 16, 2021 | $1.70 | $2.12 | $1.47 | $1.58 | 15 406 749 |
Sep 15, 2021 | $1.55 | $1.64 | $1.45 | $1.50 | 581 456 |
Sep 14, 2021 | $1.65 | $1.66 | $1.54 | $1.58 | 746 912 |
Sep 13, 2021 | $1.53 | $1.62 | $1.50 | $1.62 | 1 092 014 |
Sep 10, 2021 | $1.27 | $1.49 | $1.25 | $1.47 | 1 628 266 |
Sep 09, 2021 | $1.21 | $1.29 | $1.21 | $1.26 | 152 001 |
Sep 08, 2021 | $1.27 | $1.29 | $1.19 | $1.23 | 304 649 |
Sep 07, 2021 | $1.23 | $1.30 | $1.22 | $1.27 | 237 702 |
Sep 03, 2021 | $1.28 | $1.33 | $1.21 | $1.26 | 219 551 |
Sep 02, 2021 | $1.28 | $1.34 | $1.28 | $1.31 | 336 057 |
Sep 01, 2021 | $1.30 | $1.33 | $1.28 | $1.29 | 388 999 |
Aug 31, 2021 | $1.21 | $1.33 | $1.19 | $1.29 | 512 761 |
Aug 30, 2021 | $1.24 | $1.24 | $1.20 | $1.21 | 220 045 |
Aug 27, 2021 | $1.18 | $1.27 | $1.18 | $1.21 | 320 797 |
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.