OTCMKTS:ZYXI
Zynex Inc Stock Price (Quote)
$10.88
-0.120 (-1.09%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $10.31 | $12.34 | Friday, 17th May 2024 ZYXI stock ended at $10.88. This is 1.09% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.57% from a day low at $10.84 to a day high of $11.01. |
90 days | $10.31 | $13.77 | |
52 weeks | $6.88 | $13.77 |
Date | Open | High | Low | Close | Volume |
Sep 07, 2023 | $6.96 | $7.17 | $6.88 | $7.12 | 453 902 |
Sep 06, 2023 | $7.11 | $7.16 | $6.89 | $6.95 | 600 391 |
Sep 05, 2023 | $7.27 | $7.31 | $6.96 | $7.09 | 1 015 457 |
Sep 01, 2023 | $7.76 | $7.88 | $7.54 | $7.55 | 438 814 |
Aug 31, 2023 | $7.75 | $7.86 | $7.68 | $7.70 | 273 054 |
Aug 30, 2023 | $7.72 | $7.87 | $7.53 | $7.75 | 335 373 |
Aug 29, 2023 | $7.65 | $7.74 | $7.55 | $7.71 | 246 729 |
Aug 28, 2023 | $7.70 | $7.77 | $7.57 | $7.66 | 198 701 |
Aug 25, 2023 | $7.74 | $7.77 | $7.51 | $7.70 | 173 855 |
Aug 24, 2023 | $8.02 | $8.02 | $7.65 | $7.75 | 257 736 |
Aug 23, 2023 | $7.98 | $8.12 | $7.90 | $8.02 | 218 688 |
Aug 22, 2023 | $7.91 | $8.10 | $7.79 | $7.98 | 280 536 |
Aug 21, 2023 | $7.68 | $8.03 | $7.61 | $7.90 | 319 493 |
Aug 18, 2023 | $7.62 | $7.78 | $7.53 | $7.68 | 281 130 |
Aug 17, 2023 | $7.53 | $7.67 | $7.45 | $7.64 | 242 058 |
Aug 16, 2023 | $7.57 | $7.76 | $7.52 | $7.56 | 203 640 |
Aug 15, 2023 | $7.73 | $7.80 | $7.56 | $7.62 | 254 212 |
Aug 14, 2023 | $7.77 | $7.83 | $7.60 | $7.73 | 269 368 |
Aug 11, 2023 | $7.86 | $7.92 | $7.73 | $7.76 | 235 180 |
Aug 10, 2023 | $7.73 | $8.06 | $7.73 | $7.82 | 299 694 |
Aug 09, 2023 | $7.78 | $8.09 | $7.63 | $7.69 | 267 016 |
Aug 08, 2023 | $8.01 | $8.02 | $7.69 | $7.76 | 370 995 |
Aug 07, 2023 | $8.36 | $8.55 | $8.01 | $8.03 | 227 103 |
Aug 04, 2023 | $8.52 | $8.73 | $8.24 | $8.33 | 497 609 |
Aug 03, 2023 | $8.31 | $8.60 | $8.31 | $8.50 | 205 570 |
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 ZYXI stock historical prices to predict future price movements?
Trend Analysis: Examine the ZYXI 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 ZYXI 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.