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 |
Nov 23, 2022 | $1.86 | $1.88 | $1.74 | $1.79 | 473 035 |
Nov 22, 2022 | $1.95 | $1.97 | $1.85 | $1.87 | 355 623 |
Nov 21, 2022 | $2.05 | $2.07 | $1.86 | $1.95 | 415 407 |
Nov 18, 2022 | $2.05 | $2.09 | $1.95 | $2.01 | 335 201 |
Nov 17, 2022 | $2.13 | $2.14 | $1.94 | $2.02 | 655 338 |
Nov 16, 2022 | $2.37 | $2.49 | $2.13 | $2.14 | 580 900 |
Nov 15, 2022 | $2.40 | $2.55 | $2.38 | $2.44 | 847 487 |
Nov 14, 2022 | $2.64 | $2.64 | $2.37 | $2.37 | 360 273 |
Nov 11, 2022 | $2.51 | $2.72 | $2.48 | $2.66 | 521 038 |
Nov 10, 2022 | $2.20 | $2.63 | $2.19 | $2.48 | 784 806 |
Nov 09, 2022 | $2.32 | $2.34 | $2.08 | $2.10 | 875 551 |
Nov 08, 2022 | $2.27 | $2.63 | $2.25 | $2.29 | 862 755 |
Nov 07, 2022 | $2.34 | $2.44 | $2.29 | $2.31 | 754 405 |
Nov 04, 2022 | $2.37 | $2.39 | $2.17 | $2.31 | 804 884 |
Nov 03, 2022 | $2.28 | $2.43 | $2.24 | $2.35 | 545 867 |
Nov 02, 2022 | $2.57 | $2.59 | $2.35 | $2.35 | 819 003 |
Nov 01, 2022 | $2.47 | $2.87 | $2.47 | $2.58 | 798 322 |
Oct 31, 2022 | $2.62 | $2.62 | $2.37 | $2.42 | 1 134 925 |
Oct 28, 2022 | $2.64 | $2.67 | $2.54 | $2.61 | 489 431 |
Oct 27, 2022 | $2.68 | $2.70 | $2.58 | $2.60 | 470 854 |
Oct 26, 2022 | $2.74 | $2.87 | $2.66 | $2.66 | 517 792 |
Oct 25, 2022 | $2.54 | $2.86 | $2.54 | $2.75 | 697 773 |
Oct 24, 2022 | $2.62 | $2.67 | $2.46 | $2.54 | 492 707 |
Oct 21, 2022 | $2.79 | $2.79 | $2.55 | $2.62 | 877 126 |
Oct 20, 2022 | $2.79 | $2.94 | $2.75 | $2.76 | 396 412 |
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.