NASDAQ:CDNS
Cadence Design Systems Stock Price (Quote)
$296.16
+2.12 (+0.719%)
At Close: Feb 13, 2025
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $285.06 | $325.02 | Thursday, 13th Feb 2025 CDNS stock ended at $296.16. This is 0.719% more than the trading day before Wednesday, 12th Feb 2025. During the day the stock fluctuated 1.38% from a day low at $293.47 to a day high of $297.51. |
90 days | $285.06 | $326.19 | |
52 weeks | $241.29 | $328.99 |
Historical Cadence Design Systems prices
Date | Open | High | Low | Close | Volume |
---|---|---|---|---|---|
Feb 13, 2025 | $294.00 | $297.51 | $293.47 | $296.16 | 1 791 845 |
Feb 12, 2025 | $296.20 | $297.98 | $291.96 | $294.05 | 1 087 180 |
Feb 11, 2025 | $301.02 | $304.08 | $298.63 | $303.87 | 766 880 |
Feb 10, 2025 | $303.83 | $305.89 | $301.22 | $305.63 | 1 232 093 |
Feb 07, 2025 | $304.01 | $309.89 | $297.37 | $299.68 | 1 126 558 |
Feb 06, 2025 | $302.55 | $306.75 | $300.66 | $302.91 | 814 730 |
Feb 05, 2025 | $298.00 | $303.73 | $295.84 | $302.65 | 986 641 |
Feb 04, 2025 | $295.11 | $300.28 | $295.11 | $299.67 | 1 010 854 |
Feb 03, 2025 | $292.50 | $299.47 | $289.83 | $298.30 | 1 434 851 |
Jan 31, 2025 | $299.60 | $304.71 | $297.33 | $297.62 | 1 282 657 |
Jan 30, 2025 | $292.24 | $298.28 | $292.22 | $297.76 | 1 336 090 |
Jan 29, 2025 | $296.83 | $298.60 | $288.37 | $289.88 | 1 371 525 |
Jan 28, 2025 | $289.46 | $299.54 | $285.28 | $299.30 | 2 256 669 |
Jan 27, 2025 | $307.30 | $309.92 | $285.06 | $289.87 | 3 652 790 |
Jan 24, 2025 | $324.52 | $325.02 | $317.56 | $320.48 | 1 379 802 |
Jan 23, 2025 | $318.70 | $324.56 | $318.00 | $324.52 | 1 416 913 |
Jan 22, 2025 | $314.40 | $324.57 | $314.40 | $321.49 | 1 937 952 |
Jan 21, 2025 | $307.50 | $311.58 | $304.39 | $310.97 | 1 757 525 |
Jan 17, 2025 | $305.87 | $307.05 | $302.61 | $305.60 | 1 565 192 |
Jan 16, 2025 | $303.00 | $304.05 | $298.68 | $298.90 | 1 322 438 |
Jan 15, 2025 | $301.88 | $304.00 | $300.36 | $300.72 | 1 712 976 |
Jan 14, 2025 | $293.76 | $295.33 | $289.00 | $294.19 | 1 247 379 |
Jan 13, 2025 | $298.00 | $298.36 | $290.91 | $292.50 | 1 781 681 |
Jan 10, 2025 | $298.77 | $302.72 | $297.32 | $299.00 | 1 287 504 |
Jan 08, 2025 | $303.04 | $306.77 | $301.42 | $302.73 | 975 189 |
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 CDNS stock historical prices to predict future price movements?
Trend Analysis: Examine the CDNS 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 CDNS 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.