$387.85
-6.65 (-1.69%)
At Close: Jun 16, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $331.56 | $416.67 | Tuesday, 16th Jun 2026 CDNS stock ended at $387.85. This is 1.69% less than the trading day before Monday, 15th Jun 2026. During the day the stock fluctuated 2.86% from a day low at $387.19 to a day high of $398.27. |
| 90 days | $263.44 | $416.67 | |
| 52 weeks | $262.75 | $416.67 |
Historical Cadence Design Systems prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 16, 2026 | $387.19 | $398.27 | $387.19 | $387.85 | 1 590 334 |
| Jun 15, 2026 | $391.00 | $397.82 | $389.33 | $394.50 | 1 837 775 |
| Jun 12, 2026 | $381.22 | $389.80 | $375.94 | $384.96 | 1 366 033 |
| Jun 11, 2026 | $382.00 | $389.54 | $377.21 | $383.74 | 2 069 802 |
| Jun 10, 2026 | $382.98 | $399.23 | $382.00 | $385.13 | 1 776 226 |
| Jun 09, 2026 | $396.66 | $406.67 | $377.11 | $390.90 | 2 591 734 |
| Jun 08, 2026 | $383.00 | $396.71 | $381.85 | $394.24 | 2 421 508 |
| Jun 05, 2026 | $402.00 | $407.00 | $373.54 | $376.19 | 3 520 057 |
| Jun 04, 2026 | $407.73 | $415.83 | $401.93 | $411.68 | 2 998 709 |
| Jun 03, 2026 | $410.26 | $411.04 | $401.03 | $408.00 | 2 842 220 |
| Jun 02, 2026 | $405.98 | $416.67 | $401.04 | $416.39 | 2 556 744 |
| Jun 01, 2026 | $402.00 | $414.33 | $383.94 | $414.16 | 4 469 219 |
| May 29, 2026 | $375.00 | $378.04 | $372.28 | $374.93 | 1 406 501 |
| May 28, 2026 | $374.78 | $379.05 | $366.99 | $373.85 | 1 913 133 |
| May 27, 2026 | $378.95 | $383.80 | $370.35 | $374.05 | 2 354 802 |
| May 26, 2026 | $379.66 | $383.24 | $369.62 | $381.75 | 1 959 314 |
| May 22, 2026 | $361.87 | $381.50 | $361.83 | $373.59 | 2 175 936 |
| May 21, 2026 | $349.88 | $362.21 | $347.77 | $358.46 | 1 743 021 |
| May 20, 2026 | $335.39 | $351.36 | $331.56 | $350.89 | 2 026 181 |
| May 19, 2026 | $344.99 | $348.12 | $337.89 | $338.12 | 1 742 616 |
| May 18, 2026 | $346.91 | $350.06 | $341.49 | $345.99 | 1 859 677 |
| May 15, 2026 | $351.81 | $352.00 | $345.68 | $347.24 | 1 698 593 |
| May 14, 2026 | $350.03 | $355.21 | $348.46 | $352.84 | 1 450 177 |
| May 13, 2026 | $359.04 | $361.03 | $350.55 | $354.55 | 2 297 498 |
| May 12, 2026 | $361.10 | $361.99 | $355.56 | $358.04 | 1 981 656 |
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.
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