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 |
May 17, 2016 | $43.43 | $44.15 | $43.30 | $43.53 | 3 293 398 |
May 16, 2016 | $42.98 | $43.82 | $42.98 | $43.51 | 2 847 561 |
May 13, 2016 | $42.84 | $43.54 | $42.67 | $43.24 | 2 935 053 |
May 12, 2016 | $43.26 | $43.30 | $42.37 | $42.92 | 2 588 776 |
May 11, 2016 | $43.13 | $43.43 | $42.88 | $43.06 | 2 318 722 |
May 10, 2016 | $43.15 | $43.55 | $42.93 | $43.24 | 1 873 593 |
May 09, 2016 | $43.35 | $43.58 | $43.01 | $43.07 | 2 234 588 |
May 06, 2016 | $42.77 | $43.22 | $42.61 | $43.20 | 1 673 754 |
May 05, 2016 | $42.97 | $43.38 | $42.74 | $43.09 | 3 030 206 |
May 04, 2016 | $43.34 | $43.71 | $42.84 | $42.98 | 2 638 127 |
May 03, 2016 | $43.30 | $43.49 | $42.96 | $43.48 | 2 926 527 |
May 02, 2016 | $43.21 | $43.87 | $43.09 | $43.74 | 3 138 507 |
Apr 29, 2016 | $42.99 | $43.90 | $42.71 | $43.08 | 4 504 811 |
Apr 28, 2016 | $44.46 | $45.75 | $41.53 | $43.23 | 18 924 329 |
Apr 27, 2016 | $46.83 | $47.36 | $46.35 | $47.35 | 3 193 108 |
Apr 26, 2016 | $46.00 | $47.08 | $45.93 | $46.95 | 4 199 901 |
Apr 25, 2016 | $45.76 | $46.09 | $45.47 | $45.79 | 1 571 141 |
Apr 22, 2016 | $46.03 | $46.47 | $45.75 | $45.87 | 2 078 982 |
Apr 21, 2016 | $46.31 | $46.35 | $45.95 | $46.03 | 2 124 858 |
Apr 20, 2016 | $45.79 | $46.73 | $45.69 | $46.46 | 2 952 059 |
Apr 19, 2016 | $46.50 | $46.50 | $45.70 | $45.90 | 1 994 223 |
Apr 18, 2016 | $46.05 | $46.31 | $45.86 | $46.26 | 1 913 094 |
Apr 15, 2016 | $46.49 | $46.50 | $45.93 | $46.01 | 1 682 659 |
Apr 14, 2016 | $46.51 | $46.55 | $45.69 | $46.55 | 1 809 248 |
Apr 13, 2016 | $46.11 | $46.74 | $45.92 | $46.65 | 1 403 456 |
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.