NASDAQ:IONM
Assure Holdings Corp. Stock Price (Quote)
$0.427
-0.0490 (-10.29%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.380 | $0.98 | Friday, 17th May 2024 IONM stock ended at $0.427. This is 10.29% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 15.66% from a day low at $0.415 to a day high of $0.480. |
90 days | $0.263 | $0.98 | |
52 weeks | $0.200 | $1.14 |
Date | Open | High | Low | Close | Volume |
Apr 12, 2024 | $0.707 | $0.730 | $0.650 | $0.683 | 127 599 |
Apr 11, 2024 | $0.740 | $0.770 | $0.571 | $0.691 | 865 725 |
Apr 10, 2024 | $0.739 | $0.778 | $0.675 | $0.737 | 362 608 |
Apr 09, 2024 | $0.645 | $0.730 | $0.610 | $0.719 | 1 321 456 |
Apr 08, 2024 | $0.600 | $0.614 | $0.561 | $0.597 | 169 004 |
Apr 05, 2024 | $0.600 | $0.646 | $0.570 | $0.618 | 210 098 |
Apr 04, 2024 | $0.550 | $0.620 | $0.521 | $0.594 | 362 829 |
Apr 03, 2024 | $0.480 | $0.570 | $0.463 | $0.527 | 307 656 |
Apr 02, 2024 | $0.461 | $0.495 | $0.440 | $0.480 | 243 449 |
Apr 01, 2024 | $0.490 | $0.500 | $0.450 | $0.486 | 204 929 |
Mar 28, 2024 | $0.459 | $0.500 | $0.431 | $0.490 | 407 986 |
Mar 27, 2024 | $0.444 | $0.460 | $0.422 | $0.447 | 138 482 |
Mar 26, 2024 | $0.460 | $0.483 | $0.410 | $0.445 | 204 008 |
Mar 25, 2024 | $0.514 | $0.514 | $0.460 | $0.469 | 189 250 |
Mar 22, 2024 | $0.508 | $0.520 | $0.463 | $0.496 | 239 598 |
Mar 21, 2024 | $0.528 | $0.550 | $0.507 | $0.524 | 137 210 |
Mar 20, 2024 | $0.511 | $0.515 | $0.462 | $0.501 | 276 900 |
Mar 19, 2024 | $0.618 | $0.628 | $0.510 | $0.511 | 783 457 |
Mar 18, 2024 | $0.590 | $0.650 | $0.575 | $0.628 | 829 720 |
Mar 15, 2024 | $0.562 | $0.660 | $0.517 | $0.561 | 1 428 658 |
Mar 14, 2024 | $0.463 | $0.630 | $0.435 | $0.586 | 1 801 245 |
Mar 13, 2024 | $0.395 | $0.498 | $0.395 | $0.480 | 2 406 618 |
Mar 12, 2024 | $0.520 | $0.604 | $0.385 | $0.420 | 40 371 352 |
Mar 11, 2024 | $0.338 | $0.341 | $0.319 | $0.341 | 59 009 |
Mar 08, 2024 | $0.322 | $0.340 | $0.305 | $0.338 | 116 056 |
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 IONM stock historical prices to predict future price movements?
Trend Analysis: Examine the IONM 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 IONM 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.