NASDAQ:ZIXI
Delisted
Zix Corporation Stock Price (Quote)
$8.49
+0 (+0%)
At Close: May 27, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $8.49 | $8.49 | Friday, 27th May 2022 ZIXI stock ended at $8.49. During the day the stock fluctuated 0% from a day low at $8.49 to a day high of $8.49. |
90 days | $8.49 | $8.49 | |
52 weeks | $6.52 | $8.90 |
Date | Open | High | Low | Close | Volume |
Oct 22, 2021 | $8.48 | $8.57 | $8.34 | $8.39 | 428 800 |
Oct 21, 2021 | $8.47 | $8.55 | $8.31 | $8.50 | 653 500 |
Oct 20, 2021 | $8.04 | $8.86 | $8.03 | $8.53 | 1 304 000 |
Oct 19, 2021 | $8.40 | $8.54 | $8.01 | $8.08 | 2 194 300 |
Oct 18, 2021 | $7.54 | $7.69 | $7.53 | $7.66 | 228 700 |
Oct 15, 2021 | $7.70 | $7.79 | $7.54 | $7.56 | 517 000 |
Oct 14, 2021 | $7.57 | $7.67 | $7.46 | $7.60 | 390 100 |
Oct 13, 2021 | $7.50 | $7.51 | $7.38 | $7.46 | 630 911 |
Oct 12, 2021 | $7.42 | $7.54 | $7.29 | $7.53 | 206 917 |
Oct 11, 2021 | $7.44 | $7.45 | $7.32 | $7.39 | 340 586 |
Oct 08, 2021 | $7.45 | $7.55 | $7.25 | $7.45 | 355 432 |
Oct 07, 2021 | $7.32 | $7.55 | $7.32 | $7.47 | 257 510 |
Oct 06, 2021 | $7.26 | $7.33 | $7.07 | $7.30 | 314 783 |
Oct 05, 2021 | $7.20 | $7.40 | $7.08 | $7.33 | 378 510 |
Oct 04, 2021 | $7.24 | $7.25 | $7.05 | $7.17 | 392 173 |
Oct 01, 2021 | $7.07 | $7.26 | $7.07 | $7.21 | 351 900 |
Sep 30, 2021 | $6.87 | $7.15 | $6.87 | $7.07 | 404 161 |
Sep 29, 2021 | $7.03 | $7.14 | $6.79 | $6.83 | 374 648 |
Sep 28, 2021 | $7.36 | $7.36 | $7.00 | $7.01 | 335 228 |
Sep 27, 2021 | $7.45 | $7.52 | $7.37 | $7.38 | 406 910 |
Sep 24, 2021 | $7.25 | $7.56 | $7.25 | $7.49 | 391 766 |
Sep 23, 2021 | $7.23 | $7.38 | $7.20 | $7.29 | 359 092 |
Sep 22, 2021 | $7.12 | $7.28 | $7.12 | $7.23 | 289 499 |
Sep 21, 2021 | $7.26 | $7.36 | $7.08 | $7.08 | 688 383 |
Sep 20, 2021 | $7.50 | $7.67 | $7.21 | $7.24 | 838 204 |
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 ZIXI stock historical prices to predict future price movements?
Trend Analysis: Examine the ZIXI 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 ZIXI 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.