NASDAQ:CYXT
Delisted
Cyxtera Technologies, Inc. Stock Price (Quote)
$0.0650
+0 (+0%)
At Close: Sep 13, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0650 | $0.0650 | Wednesday, 13th Sep 2023 CYXT stock ended at $0.0650. During the day the stock fluctuated 0% from a day low at $0.0650 to a day high of $0.0650. |
90 days | $0.0650 | $0.0650 | |
52 weeks | $0.0413 | $5.67 |
Date | Open | High | Low | Close | Volume |
Apr 20, 2023 | $0.290 | $0.310 | $0.281 | $0.310 | 590 205 |
Apr 19, 2023 | $0.288 | $0.324 | $0.282 | $0.306 | 1 035 425 |
Apr 18, 2023 | $0.303 | $0.303 | $0.280 | $0.292 | 515 701 |
Apr 17, 2023 | $0.277 | $0.298 | $0.271 | $0.288 | 1 596 391 |
Apr 14, 2023 | $0.349 | $0.349 | $0.280 | $0.282 | 1 998 636 |
Apr 13, 2023 | $0.385 | $0.388 | $0.320 | $0.338 | 3 982 475 |
Apr 12, 2023 | $0.400 | $0.424 | $0.371 | $0.398 | 1 255 163 |
Apr 11, 2023 | $0.360 | $0.438 | $0.357 | $0.388 | 3 320 743 |
Apr 10, 2023 | $0.370 | $0.380 | $0.325 | $0.358 | 1 990 198 |
Apr 06, 2023 | $0.330 | $0.376 | $0.311 | $0.358 | 1 890 987 |
Apr 05, 2023 | $0.330 | $0.337 | $0.284 | $0.310 | 1 275 425 |
Apr 04, 2023 | $0.320 | $0.332 | $0.284 | $0.330 | 2 321 375 |
Apr 03, 2023 | $0.365 | $0.370 | $0.303 | $0.317 | 3 111 256 |
Mar 31, 2023 | $0.423 | $0.433 | $0.299 | $0.305 | 4 447 826 |
Mar 30, 2023 | $0.620 | $0.620 | $0.417 | $0.425 | 2 865 159 |
Mar 29, 2023 | $0.660 | $0.684 | $0.611 | $0.650 | 1 092 026 |
Mar 28, 2023 | $0.88 | $0.88 | $0.652 | $0.670 | 1 054 428 |
Mar 27, 2023 | $0.85 | $0.94 | $0.85 | $0.89 | 463 928 |
Mar 24, 2023 | $0.88 | $0.95 | $0.80 | $0.84 | 663 326 |
Mar 23, 2023 | $0.96 | $1.02 | $0.89 | $0.90 | 898 135 |
Mar 22, 2023 | $1.28 | $1.28 | $0.95 | $0.95 | 1 749 017 |
Mar 21, 2023 | $1.51 | $1.54 | $1.29 | $1.33 | 736 733 |
Mar 20, 2023 | $1.33 | $1.58 | $1.27 | $1.51 | 4 007 846 |
Mar 17, 2023 | $1.53 | $1.56 | $1.32 | $1.39 | 1 008 208 |
Mar 16, 2023 | $1.69 | $1.73 | $1.52 | $1.52 | 735 144 |
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 CYXT stock historical prices to predict future price movements?
Trend Analysis: Examine the CYXT 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 CYXT 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.