NASDAQ:XLNX
Delisted
Xilinx Stock Price (Quote)
$194.92
+0 (+0%)
At Close: Aug 17, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $194.92 | $194.92 | Wednesday, 17th Aug 2022 XLNX stock ended at $194.92. During the day the stock fluctuated 0% from a day low at $194.92 to a day high of $194.92. |
90 days | $194.92 | $194.92 | |
52 weeks | $138.60 | $239.79 |
Date | Open | High | Low | Close | Volume |
Jun 09, 2021 | $127.84 | $128.55 | $125.69 | $125.94 | 1 138 365 |
Jun 08, 2021 | $128.55 | $129.94 | $126.21 | $127.45 | 1 397 994 |
Jun 07, 2021 | $127.82 | $129.01 | $126.71 | $127.73 | 839 537 |
Jun 04, 2021 | $126.83 | $129.52 | $126.83 | $128.63 | 1 193 539 |
Jun 03, 2021 | $126.88 | $128.80 | $125.78 | $125.83 | 1 641 773 |
Jun 02, 2021 | $127.70 | $130.53 | $127.50 | $129.14 | 2 228 456 |
Jun 01, 2021 | $127.35 | $131.10 | $127.35 | $127.93 | 1 530 105 |
May 28, 2021 | $123.67 | $128.28 | $123.67 | $127.00 | 1 650 094 |
May 27, 2021 | $123.47 | $123.74 | $122.35 | $123.02 | 1 864 874 |
May 26, 2021 | $123.87 | $124.98 | $123.30 | $123.70 | 1 716 046 |
May 25, 2021 | $124.36 | $125.68 | $122.87 | $124.09 | 1 386 085 |
May 24, 2021 | $123.90 | $124.40 | $122.72 | $123.77 | 1 093 359 |
May 21, 2021 | $124.95 | $125.09 | $122.30 | $122.81 | 1 096 007 |
May 20, 2021 | $121.45 | $124.33 | $120.96 | $123.99 | 1 702 572 |
May 19, 2021 | $115.48 | $121.64 | $115.12 | $120.76 | 3 209 117 |
May 18, 2021 | $118.57 | $119.92 | $117.42 | $117.81 | 1 567 407 |
May 17, 2021 | $117.12 | $119.29 | $116.18 | $118.14 | 1 505 405 |
May 14, 2021 | $115.72 | $118.81 | $114.27 | $118.00 | 1 912 663 |
May 13, 2021 | $118.78 | $118.85 | $114.24 | $114.61 | 2 538 739 |
May 12, 2021 | $118.29 | $119.39 | $116.16 | $116.87 | 3 534 477 |
May 11, 2021 | $115.98 | $121.47 | $114.43 | $121.23 | 2 076 602 |
May 10, 2021 | $123.13 | $123.37 | $119.51 | $119.59 | 1 638 821 |
May 07, 2021 | $123.39 | $125.32 | $123.09 | $124.43 | 2 015 114 |
May 06, 2021 | $121.81 | $122.70 | $119.83 | $122.14 | 1 556 066 |
May 05, 2021 | $123.64 | $124.54 | $121.18 | $122.03 | 2 474 302 |
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 XLNX stock historical prices to predict future price movements?
Trend Analysis: Examine the XLNX 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 XLNX 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.