NASDAQ:CY
Delisted
Cypress Semiconductor Corporation Stock Price (Quote)
$23.82
+0 (+0%)
At Close: Sep 04, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $23.82 | $23.82 | Friday, 4th Sep 2020 CY stock ended at $23.82. During the day the stock fluctuated 0% from a day low at $23.82 to a day high of $23.82. |
90 days | $23.82 | $23.82 | |
52 weeks | $14.91 | $23.84 |
Date | Open | High | Low | Close | Volume |
Mar 10, 2020 | $22.40 | $22.77 | $22.00 | $22.75 | 50 785 331 |
Mar 09, 2020 | $15.41 | $16.30 | $14.91 | $15.28 | 17 805 495 |
Mar 06, 2020 | $16.61 | $17.16 | $15.92 | $16.37 | 51 662 016 |
Mar 05, 2020 | $23.12 | $23.15 | $18.32 | $19.18 | 46 951 384 |
Mar 04, 2020 | $23.27 | $23.27 | $23.05 | $23.22 | 5 867 698 |
Mar 03, 2020 | $23.19 | $23.32 | $23.09 | $23.23 | 6 587 361 |
Mar 02, 2020 | $23.10 | $23.30 | $23.00 | $23.30 | 8 681 431 |
Feb 28, 2020 | $23.03 | $23.13 | $22.92 | $23.13 | 8 540 417 |
Feb 27, 2020 | $23.10 | $23.19 | $23.03 | $23.05 | 9 261 434 |
Feb 26, 2020 | $23.20 | $23.27 | $23.13 | $23.16 | 7 204 251 |
Feb 25, 2020 | $23.37 | $23.37 | $23.09 | $23.13 | 8 296 927 |
Feb 24, 2020 | $23.32 | $23.40 | $23.27 | $23.36 | 3 761 473 |
Feb 21, 2020 | $23.41 | $23.44 | $23.39 | $23.40 | 5 508 729 |
Feb 20, 2020 | $23.40 | $23.44 | $23.40 | $23.42 | 2 269 595 |
Feb 19, 2020 | $23.44 | $23.44 | $23.39 | $23.40 | 3 426 877 |
Feb 18, 2020 | $23.38 | $23.42 | $23.37 | $23.39 | 3 895 426 |
Feb 14, 2020 | $23.45 | $23.48 | $23.40 | $23.42 | 1 937 095 |
Feb 13, 2020 | $23.42 | $23.50 | $23.37 | $23.48 | 7 642 040 |
Feb 12, 2020 | $23.44 | $23.49 | $23.40 | $23.44 | 3 825 386 |
Feb 11, 2020 | $23.37 | $23.45 | $23.36 | $23.42 | 2 411 250 |
Feb 10, 2020 | $23.42 | $23.42 | $22.36 | $23.35 | 4 785 986 |
Feb 07, 2020 | $23.33 | $23.43 | $23.33 | $23.42 | 4 929 164 |
Feb 06, 2020 | $23.42 | $23.42 | $23.37 | $23.38 | 4 168 694 |
Feb 05, 2020 | $23.39 | $23.44 | $23.35 | $23.44 | 8 820 279 |
Feb 04, 2020 | $23.39 | $23.41 | $23.32 | $23.32 | 3 391 848 |
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 CY stock historical prices to predict future price movements?
Trend Analysis: Examine the CY 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 CY 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.